JP2018206027A - Electric retail business evaluation device and electric retail business evaluation method - Google Patents

Abstract

To provide an electric retail business evaluation device capable of evaluating profitability further accurately for power retailing business.SOLUTION: An electric power retail business evaluation device includes a storage unit, a reception unit, and an output unit. The storage unit stores a demand electric power amount for each user who is a selling destination of an electric power retailer by selling electric power, a purchase price of electric power for each power supply that is a purchase destination of electric power, and a suppliable electric power amount for each power supply. The reception unit accepts an input of a combination of a user and a power supply. Based on the combination, the demand electric power amount for each user, the purchase price of electric power for each power supply, and the suppliable electric power amount for each power supply, the output unit outputs the electricity retail business evaluation index for evaluating profitability of electric power retail business when selling electric power purchased from the power supply included in the combination to the user included in the combination.SELECTED DRAWING: Figure 2

Description

  Embodiments described herein relate generally to a power retail business evaluation apparatus and a power retail business evaluation method.

  The electric power retailer carries out an electric power retail business in which electric power is procured and supplied to consumers. Conventionally, a technology for supporting such a power retailer is known.

  For example, a technique for comparing a plurality of consumers from the viewpoint of profitability based on information such as a contract fee and a power demand amount for power consumers is disclosed.

JP 2007-048050 A JP 2007-272825 A

  However, in the prior art, the evaluation of profitability is calculated based on information about consumers, and it has been difficult to predict the effect on profitability due to the difference in power supply sources. For this reason, it has been required to conduct a more accurate profitability evaluation for the electric power retail business.

  The power retail business evaluation apparatus of the embodiment includes a storage unit, a reception unit, and an output unit. The storage unit stores the amount of power demand for each consumer who sells power from a power retailer, the purchase price of power for each power source from which the power is purchased, and the amount of power that can be supplied for each power source. Remember. The reception unit receives an input of a combination of a consumer and a power source. The output unit, based on the combination, the amount of power demand for each consumer, the purchase price of power for each power source, and the amount of power that can be supplied for each power source, the power purchased from the power sources included in the combination, An electric power retail business evaluation index for evaluating the profitability of the electric power retail business when sold to a consumer included in the combination is output.

FIG. 1 is a diagram illustrating an example of a hardware configuration of a power retail business evaluation device according to the first embodiment. FIG. 2 is a block diagram illustrating an example of a functional configuration of the power retail business evaluation device according to the first embodiment. FIG. 3 is a diagram illustrating an example of a table configuration of the power area database according to the first embodiment. FIG. 4 is a diagram for explaining the outline of the power area and the interconnection line according to the first embodiment. FIG. 5 is a diagram illustrating an example of a table configuration of the interconnection line database according to the first embodiment. FIG. 6 is a diagram illustrating an example of a table configuration of the interconnection line utilization plan database according to the first embodiment. FIG. 7 is a diagram illustrating an example of a table configuration of the sales price database according to the first embodiment. FIG. 8 is a diagram illustrating an example of a table configuration of the demand assumption database according to the first embodiment. FIG. 9 is a diagram illustrating an example of a table configuration of the purchase price database according to the first embodiment. FIG. 10 is a diagram illustrating an example of a table configuration of the power supply amount database according to the first embodiment. FIG. 11 is a diagram illustrating an example of a table configuration of a consignment database according to the first embodiment. FIG. 12 is a diagram illustrating an example of a table configuration of an assumed spot price database according to the first embodiment. FIG. 13 is a diagram illustrating an example of a menu screen according to the first embodiment. FIG. 14 is a diagram illustrating an example of a setting screen for setting a simulation target power supply according to the first embodiment. FIG. 15 is a diagram illustrating an example of a setting screen for setting a simulation target consumer according to the first embodiment. FIG. 16 is a graph illustrating an example of a supply and demand plan for each simulation case according to the first embodiment. FIG. 17 is an example of a graph comparing profitability for each simulation case according to the first embodiment. FIG. 18A is a flowchart illustrating an exemplary flow of a simulation case generation process according to the first embodiment. FIG. 18B is a flowchart illustrating an example of a flow of simulation processing for profitability evaluation according to the first embodiment. FIG. 19 is a diagram illustrating an example of a distributed power supply according to the second embodiment. FIG. 20 is a block diagram illustrating an example of a functional configuration of the power retail business evaluation device according to the second embodiment. FIG. 21 is a diagram illustrating an example of a table configuration of the PV attribute database according to the second embodiment. FIG. 22 is a diagram illustrating an example of a table configuration of the assumed PV output ratio database according to the second embodiment. FIG. 23 is a diagram illustrating an example of a table configuration of a storage battery attribute database according to the second embodiment. FIG. 24 is a diagram illustrating an example of a setting screen for setting a combination of a simulation target power source and a distributed power source according to the second embodiment. FIG. 25 is a diagram illustrating an example of a setting screen for setting a combination of a simulation target consumer and a distributed power source according to the second embodiment. FIG. 26 is a diagram illustrating an example of a setting screen for setting a combination pattern of distributed power sources according to the second embodiment. FIG. 27 is a diagram illustrating an example of a setting screen for setting the rated capacity of the distributed power supply according to the second embodiment. FIG. 28 is an example of a table showing the incremental profit assumed for each combination pattern of the distributed power sources according to the second embodiment. FIG. 29 is an example of a graph showing an investment recovery period according to the second embodiment. FIG. 30 is an example of a table showing an investment recovery period according to the second embodiment. FIG. 31 is another example of a graph showing the investment recovery period according to the second embodiment. FIG. 32 is another example of the table showing the incremental profit assumed for each combination pattern of the distributed power sources according to the second embodiment. FIG. 33 is a flowchart illustrating an example of a flow of simulation case generation processing according to the second embodiment. FIG. 34 is a flowchart illustrating an example of a flow of simulation processing for profitability evaluation according to the second embodiment. FIG. 35 is a diagram illustrating an example of an overall configuration of a power retail business evaluation device system according to a modification.

(Embodiment 1)
FIG. 1 is a diagram illustrating an example of a hardware configuration of a power retail business evaluation device 1 according to the present embodiment. As shown in FIG. 1, a power retail business evaluation device 1 includes a CPU (Central Processing Unit) 101, a memory 102, an HDD (Hard Disk Drive) 103, a display device 104, an input device 105, a communication interface ( I / F) 106 and a bus 107.

  The CPU 101 is a control device that performs overall control of the power retail business evaluation device 1. For example, the CPU 101 implements various configurations by executing a program or the like stored in the memory 102.

  The memory 102 is a memory that stores readable data, and is, for example, a ROM. Further, the power retail business evaluation device 1 may adopt a configuration further including a memory such as a writable RAM.

  The HDD 103 is an external storage device (auxiliary storage device). The power retail business evaluation device 1 may employ a configuration including a storage medium such as a flash memory instead of the HDD 103.

  The display device 104 is a display made up of a liquid crystal panel or the like.

  The input device 105 is, for example, a keyboard, a mouse, a touch panel, etc., and is a device that accepts user operations.

  The communication interface 106 is an interface for the power retail business evaluation device 1 to transmit and receive via a network or the like.

  The bus 107 is a data transmission path inside the electric power retail business evaluation device 1.

  The configuration of the power retail business evaluation device 1 shown in FIG. 1 is an example, and any configuration having a general computer function may be used. Further, the power retail business evaluation device 1 may be connected to a printer or the like (not shown).

  FIG. 2 is a block diagram illustrating an example of a functional configuration of the power retail business evaluation device 1 according to the present embodiment. As shown in FIG. 2, the power retail business evaluation device 1 of this embodiment includes a reception unit 111, a case generation unit 112, a calculation unit 113, an output unit 114, and a storage unit 115.

  In the present embodiment, an electric power retailer or a person who performs processing related to evaluation of profitability in response to a request from an electric power retailer is referred to as a user. The user of the present embodiment selects a consumer from whom the power retailer is a power sales destination. The user also selects a power source for supplying power to the consumer. And the electric power retail business evaluation apparatus 1 receives the input of the combination of the consumer and power supply which were selected by the user. And the electric power retail business evaluation apparatus 1 evaluates the profitability in the said combination which received the input. Hereinafter, the configuration necessary for evaluating profitability in the power retail business evaluation device 1 will be described.

  The storage unit 115 is configured by, for example, the HDD 103. The storage unit 115 includes a power area database (DB) 121, a connection line database (DB) 122, a connection line use plan database (DB) 123, a sales price database (DB) 130, and a demand assumption database (DB). ) 131, purchase price database (DB) 140, supplied power amount database (DB) 141, consignment database (DB) 150, and assumed spot price database (DB) 151.

  The power area database 121, the interconnecting line database 122, and the interconnecting line utilization plan database 123 store information related to the power area or the interconnecting line.

  Specifically, the electric power area database 121 is a database in which information on electric power areas where electric power retailers using the electric power retail business evaluation device 1 purchase and sell electric power is registered. The electric power area is a range of the jurisdiction of the electric power company that supplies electric power. The power area is an example of a region in the present embodiment.

  FIG. 3 is a diagram illustrating an example of a table configuration of the power area database 121 according to the present embodiment. As illustrated in FIG. 3, for example, the power area database 121 in the present embodiment stores an area name that identifies a power area. The power area database 121 may store a number (No.) identifying a power area, a code, and the like.

  FIG. 4 is a diagram for explaining the outline of the power area and the interconnection line according to the present embodiment. As shown in FIG. 4, the power areas according to the present embodiment are nine areas from Hokkaido area a1 to Kyushu area a9. The power area shown in FIG. 4 is an example, and the division of the power area is not limited to this.

  Further, as shown in FIG. 4, the power areas are connected by interconnection lines l (L) 1 to l10. The interconnection line is a line for transmitting power between different power areas. When the interconnecting lines 11 to 110 are not distinguished, they are simply referred to as interconnecting lines l.

  For example, a power retailer using the power retail business evaluation device 1 may purchase and supply power across a plurality of power areas. In addition, the amount of power that has flowed into a certain power area from another power area through the interconnection line is also referred to as a tidal current of the interconnection line.

  The interconnection line database 122 is a database that stores information about the interconnection line l. FIG. 5 is a diagram illustrating an example of a table configuration of the interconnection line database 122 according to the present embodiment. As shown in FIG. 5, the connection line database 122 includes an item “connection line name” in which the name of the connection line l is registered, and an item “connection area 1” indicating the power area to which the connection line l is connected. And “connection area 2”. The interconnection line database 122 may store a number (No.) for identifying the interconnection line l, a code, and the like.

  For example, as shown in FIGS. 4 and 5, the interconnection line 11 connects the Hokkaido area and the Tohoku area. Further, the interconnecting line 12 connects the Tohoku area and the Tokyo area, and the interconnecting line 13 connects the Tokyo area and the Chubu area. Similarly, other interconnection lines l4 to l10 connect different areas.

  An upper limit is set in advance for the amount of power that can be used by each power retailer out of the amount of power that can be supplied from one power area to the other power area per time unit for each interconnection line l. In the present embodiment, data indicating the amount of power that can be used by a power retailer out of the amount of power that can be supplied from one power area to the other power area per time unit for each interconnection line l It is called usage plan data.

  The interconnection line utilization plan database 123 is a database for storing interconnection line utilization plan data. FIG. 6 is a diagram illustrating an example of a table configuration of the interconnection line utilization plan database 123 according to the present embodiment. As shown in FIG. 6, the interconnecting line utilization plan database 123 is used by a power retailer among the date, time, and the amount of power that can be supplied from one power area to the other power area by each interconnecting line. The possible electric energy is stored in association with each other. Since the interconnecting line utilization plan database 123 stores future plans, the dates and times set in the items “date” and “time” shown in FIG. 6 are future dates and times. The date and time is an evaluation target period for evaluating the profitability of a power retail business in a simulation executed by the calculation unit 113 described later. The evaluation target period will be described later.

  In the example shown in FIG. 6, the interconnecting line utilization plan database 123 stores power that can be used by the power retailer every 30 minutes on the interconnecting line 13 (“Tokyo-Chubu”) connecting the Tokyo area and the Chubu area. Save the amount. For example, it can be supplied from the Tokyo area to the central area by the interconnection line 13 (“Tokyo-Chubu”) for 30 minutes between the time “0:00” and “0:30” on the date “2016/4/1”. Of the amount of power, the amount of power that can be used by the power retailer is 1000 kwh.

  As shown in FIG. 4, in Japan, AC power having a frequency of 50 Hz is used in eastern Japan, and AC power having a frequency of 60 Hz is used in western Japan. The power areas included in eastern Japan are Hokkaido area a1, Tohoku area a2, and Tokyo area a3. The power areas included in West Japan are the Chubu area a4, the Hokuriku area a5, the Kansai area a6, the China area a7, the Shikoku area a8, and the Kyushu area a9.

  When power is transmitted between the Tokyo area and the Chubu area, the frequency is converted. Therefore, the interconnection line 13 connecting the Tokyo area and the Chubu area has a particularly large amount of power that can be transmitted per hour. It is less than the interconnection line l. For this reason, FIG. 6 particularly illustrates the interconnection line 13, but the interconnection line utilization plan database 123 stores the interconnection line utilization plan data not only for the interconnection line 13 but also for other interconnection lines l. Also good.

  In addition, the sales price database 130 and the demand assumption database 131 store information about consumers.

  A consumer is a sales destination where a power retailer sells electric power. The consumer in this embodiment is a factory, a company, etc., for example. In addition, the consumer may include a general household who makes an individual contract.

  Specifically, the sales price database 130 is a database that stores information related to the sales price of electric power for each consumer. FIG. 7 is a diagram showing an example of a table configuration of the sales price database 130 according to the present embodiment. As shown in FIG. 7, the sales price database 130 stores data set in the items “customer name”, “power area”, “contract power”, “basic charge”, and “pay-for-use charge”. Save in association. The sales price database 130 may store a number (No.) for identifying each customer, a code, and the like.

  The customer name is a name for identifying the customer. The electric power area is an electric power area where the consumer is located. The contract power is the amount of power per month contracted with the power supplied by a power retailer to the consumer. When contract power changes every month, the sales price database 130 may store the contract power separately for each month.

  In addition, the basic fee and the metered fee registered in the sales price database 130 are fees that a consumer pays to a power retailer. The basic charge is a charge determined according to the monthly contracted electric energy. The metered charge is a unit price per 1 kWh of a charge added according to the amount of power purchased by a consumer from a power retailer. The pay-as-you-go fee may further vary depending on conditions such as a time zone. In this case, the sales price database 130 may employ a configuration that further includes items in which conditions such as time zones are registered. The basic charge and the metered charge registered in the sales price database 130 can also be referred to as a power sales price.

  Moreover, the demand assumption database 131 is a database which preserve | saves the demand electric energy assumed for every consumer for every electric energy area. FIG. 8 is a diagram illustrating an example of a table configuration of the demand assumption database 131 according to the present embodiment. As illustrated in FIG. 8, the demand assumption database 131 stores a date, a time, and an assumed demand power amount for each consumer in association with each other.

  For example, the power demand amount of “Hokkaido area consumer 1” is 100 kwh for 30 minutes between time “0:00” and “0:30” on the date “2016/4/1”. On the other hand, the power demand amount of “Tohoku area customer 1” is 200 kwh in 30 minutes between “00:00” and “0:30” at the time of 2016/4/1.

  Since the demand assumption database 131 stores the estimated power demand in the future, the dates and times set in the items “date” and “time” shown in FIG. 8 are future dates and times. The date and time is an evaluation target period for evaluating the profitability of a power retail business in a simulation executed by the calculation unit 113 described later. The evaluation target period will be described later.

  The demand assumption database 131 stores a power demand amount assumed for each consumer, and each consumer is associated with each power area as a location by the sales price database 130 shown in FIG. For this reason, it can be said that the memory | storage part 115 memorize | stores the electric power demand for every consumer for every electric power area.

  In addition, the purchase price database 140 and the supplied power amount database 141 store information on the power source.

  The power source is a purchaser from which a power retailer purchases power. The power source in this embodiment is, for example, an electric power company such as TEPCO or a power generation company. Alternatively, the power source may be a unit of a power plant owned by a power generation company.

  Specifically, the purchase price database 140 is a database that stores the purchase price of power for each power source. FIG. 9 is a diagram showing an example of a table configuration of the purchase price database 140 according to the present embodiment. As shown in FIG. 9, the purchase price database 140 correlates data set in the items “power supply name”, “power area”, “type”, “basic charge”, and “pay-for-use charge”. And save.

  The power supply name is a name for identifying the power supply. The power area is a power area where the power source is located. The type indicates the type of power supply form of each power source. For example, the type “always backup” refers to a form in which an electric power retailer continuously purchases electric power from a power company (receives wholesale supply) when electric power retailers supply electric power to consumers (retail). Generally, when the power source is an electric power company, the type is “always backup”. The type “fixed” indicates that the power supply amount of the power source is fixed every time. For example, in general, a new power generation company generates power according to a predetermined power generation schedule, and therefore, the amount of power supply is fixed every hour. For this reason, when the power source is a power generation company of new power, the type of power supply mode is “fixed”.

  Further, the basic fee and the metered fee registered in the purchase price database 140 are fees paid by the power retailer to the power source. The basic charge is a charge determined according to the monthly contracted electric energy. The metered charge is a unit price per kWh of a charge that is added according to the amount of power purchased by the power retailer from the power source. The pay-as-you-go fee may be a different amount depending on conditions such as a time zone. In this case, the purchase price database 140 may employ a configuration that further includes items in which conditions such as time zones are registered. The basic charge and the metered charge registered in the purchase price database 140 are examples of the purchase price of power in the present embodiment.

  The supplied power amount database 141 is a database that stores the amount of power that can be supplied for each power source. FIG. 10 is a diagram illustrating an example of a table configuration of the supplied power amount database 141 according to the present embodiment. As illustrated in FIG. 10, the supplied power amount database 141 stores a date, a time, and a power amount that can be supplied for each power source in association with each other. The date and time set in the items “date” and “time” shown in FIG. 10 are future dates and times. The date and time is an evaluation target period for evaluating the profitability of a power retail business in a simulation executed by the calculation unit 113 described later. The evaluation target period will be described later.

  For example, the amount of power that can be supplied by the power supply “Hokkaido area power supply 1” for 30 minutes between the time “0:00” and “0:30” on the date “2016/4/1” is 100 kwh.

  In addition, the consignment database 150 is a database that stores a loss rate for each power area related to power supply and a consignment fee.

  Consignment refers to a transmission / distribution company that owns a transmission / distribution network carrying electric power from a power source to consumers. The power retailer pays a consignment fee to the power transmission / distribution company in order to use the power transmission / distribution network to supply the power purchased from the power source to the consumer. The amount of consignment charges varies from power area to power area. In addition, the loss rate when power is entrusted is also different for each power area.

  FIG. 11 is a diagram showing an example of a table configuration of the consignment database 150 according to the present embodiment. As shown in FIG. 11, the consignment database 150 stores the data set in the items “power area”, “loss rate”, “basic charge”, and “measured charge” in association with each other.

  For example, when power is consigned in the Hokkaido area, the loss rate is “3.00%”. In this case, 3.00% of the power transmitted from the power source is lost without reaching the customer. For this reason, the power retailer adds power for the loss in advance to the amount of power sold to the consumer and purchases it from the power source.

  Further, the basic fee and the metered fee registered in the consignment database 150 are fees paid by the power retailer to the transmission / distribution company. Further, the basic charge is a charge determined according to the monthly contract power amount. The metered charge is a unit price per 1 kWh of a charge added according to the amount of power requested by the power retailer. The basic fee and the metered fee registered in the consignment database 150 are an example of the consignment fee in this embodiment.

  Further, as shown in FIG. 4, the power retailer sells the power purchased from the power market M to consumers located in each power area, or sells the power purchased from the power source in the power market M. .

  Specifically, the electric power market M is a market for trading electric power such as the Japan Wholesale Power Exchange (JEPX). In the present embodiment, a case where the power market M is a one-day-old market (power spot market) in which trading is performed for the next day's power will be described, but another power market may be used. The price of power for each preset time zone in the power market M is referred to as a spot price. In the present embodiment, the spot price is different for each power area. In the power market M of the present embodiment, it is assumed that transactions are performed in units of 30 minutes per frame.

  The assumed spot price database 151 is a database that stores the amount of the assumed spot price. The spot price stored in the assumed spot price database 151 may be, for example, the spot price of the same date and time one year ago. In addition, the spot price may fluctuate due to factors such as weather and fuel prices. For this reason, the spot price stored in the assumed spot price database 151 may be calculated in advance based on various factors.

  FIG. 12 is a diagram illustrating an example of a table configuration of the assumed spot price database 151 according to the present embodiment. As shown in FIG. 12, the assumed spot price database 151 stores the date, time, and assumed spot price for each power area in association with each other. Since the assumed spot price is a price per kWh, the unit is ¥ / kWh. Further, the date and time set in the items “date” and “time” shown in FIG. 12 are future dates and times. The date and time is an evaluation target period for evaluating the profitability of a power retail business in a simulation executed by the calculation unit 113 described later. The evaluation target period will be described later.

  For example, the estimated spot price in the Hokkaido area is “8.66 ¥ / kWh” for 30 minutes between time “0:00” and “0:30” on the date “2016/4/1”.

  The assumed spot price of the present embodiment is the same price as the price for purchasing power from the power market M and the price for selling power to the power market M, but is not limited to this. For example, the purchase price from the electric power market M and the sales price may be different from each other. In this case, the assumed spot price database 151 may be configured to hold the purchase price and the sales price as separate items. Alternatively, the storage unit 115 may store the purchase price and the sales price in different databases. Further, the assumed spot price may be the same price regardless of the power area.

  In addition, the above-mentioned electric power area database 121, interconnection line database 122, interconnection line utilization plan database 123, sales price database 130, demand assumption database 131, purchase price database 140, supply power amount database 141, consignment database 150, assumption spot The data and values stored in the price database 151 are examples and are not limited to these.

  Returning to FIG. 2, the output unit 114 outputs a menu screen indicating options of processing to be executed to the display device 104. FIG. 13 is a diagram illustrating an example of a menu screen according to the present embodiment. For example, the display device 104 displays selectable options such as “data input”, “simulation case setting”, “simulation execution”, and “end”. When the user selects one of these options and clicks the execution button 900 with the mouse, the receiving unit 111 described later receives the user's operation. The screen configuration shown in FIG. 13 is an example, and the present invention is not limited to this.

  For example, when the accepting unit 111 accepts the selection of the menu screen option “data input” shown in FIG. 13 from the user, the output unit 114, for example, stores the input destination database and the storage location of the data file or the like. You may display further the screen which inputs a path | pass. Alternatively, the output unit 114 may display a screen for accepting manual data input. Examples of the input destination database include a power area database (DB) 121, a connection line database (DB) 122, a connection line use plan database (DB) 123, a sales price database (DB) 130, and a demand assumption database (DB). ) 131, purchase price database (DB) 140, supplied power amount database (DB) 141, consignment database (DB) 150, or assumed spot price database (DB) 151. Then, when registering information in these databases, “data input” is selected.

  Further, when the reception unit 111 receives selection of the option “simulation case setting” from the user, the output unit 114 further displays, for example, a simulation case setting screen. The simulation case setting screen will be described later in the description of the function of the case generation unit 112. “Simulation case setting” in the present embodiment is a setting of necessary conditions for the profitability evaluation simulation. For example, a consumer to which an electric power retailer supplies power and the electric power retailing business Set the combination of power supplies for which the person purchases power.

  The output unit 114 also outputs to the display device 104 a power supply and demand plan calculated by the calculation unit 113 described later and a power retail business evaluation index for evaluating profitability of the power retail business for each simulation case. For example, the output unit 114 outputs, to the display device 104, a supply / demand plan generated by the calculation unit 113 described later, a graph indicating profitability of the power retail business, and the like. Details of the power supply and demand plan and the power retail business evaluation index will be described later.

  Returning to FIG. 2, the reception unit 111 receives a user operation. For example, assume that the option “data input” on the menu screen shown in FIG. 13 is selected. In this case, the output unit 114 further displays a screen for inputting an input destination database and a storage location path such as a data file. The accepting unit 111 reads a data file or the like according to the input path and registers it in the input destination database stored in the storage unit 115. Further, the method for inputting data into the database stored in the storage unit 115 is not limited to this.

  Further, it is assumed that the option “simulation case setting” on the menu screen shown in FIG. 13 is selected by the user. In this case, the output unit 114 further displays a setting screen for setting the simulation target power supply and customer. The receiving unit 111 receives a combination of a consumer and a power source input (set) by the user and sends them to the case generation unit 112.

  Further, assume that the user selects the “simulation execution” option on the menu screen shown in FIG. In this case, the reception unit 111 notifies the calculation unit 113 described later that the simulation execution operation has been received.

  Further, it is assumed that the option “end” shown in FIG. 13 is selected by the user. In this case, the reception unit 111 notifies the output unit 114 to close the menu screen.

  Returning to FIG. 2, the case generation unit 112 generates a simulation case used in a simulation of profit evaluation of a power retail business. Specifically, the case generation unit 112 acquires a combination of a consumer and a power source set by the user via the reception unit 111.

  FIG. 14 is a diagram illustrating an example of a setting screen for setting the power source to be simulated according to the present embodiment. Moreover, FIG. 15 is a figure which shows an example of the setting screen for setting the consumer of the simulation object concerning this embodiment.

  As shown in FIG. 14, a setting screen (hereinafter referred to as a power setting screen) for setting a power source that is a simulation target in this embodiment, in other words, a power purchase target, is referred to as “power source No.” as a display column. , “Power supply name”. The power setting screen includes “reference” and “add / delete” as input fields. In the display columns “power supply No.” and “power supply name”, the data of “No.” and “power supply name” in the purchase price database 140 shown in FIG.

  Further, as shown in FIG. 15, a setting screen (hereinafter referred to as a customer setting screen) for setting a simulation target in this embodiment, in other words, a power supply target customer (hereinafter referred to as a customer setting screen) is displayed as “demand”. House No. "and" customer name ". Further, the customer setting screen includes “reference” and “add / delete” as input fields. In the display columns “customer No.” and “customer name”, data of “No.” and “customer name” in the sales price database 130 shown in FIG.

  The input field “reference” shown in FIGS. 14 and 15 is a field in which a user sets a power source or a customer as a reference for the simulation case. In the examples of FIGS. 14 and 15, a combination of a customer and a power source in which a circle is input in the input field “standard” is a standard for performing comparison with profitability of other combinations when performing profitability simulation. It shall be determined as This combination is referred to as a simulation case reference.

  An input field “addition / deletion” is provided as an item for adjusting the combination of the power source and the customer set as the reference of the simulation case. The input column “addition / deletion” shown in FIGS. 14 and 15 is a column for accepting the setting of addition or deletion of a power source or a consumer for a combination of power sources or consumers as a reference of the simulation case. 14 and 15, when the accepting unit 111 accepts a setting of “+” in the input field “addition / deletion” of an arbitrary power supply or consumer, the power supply or consumer with “+” set However, a case added to the reference of the simulation case is generated. Further, when the accepting unit 111 accepts the setting of the input field “addition / deletion” of an arbitrary power supply or customer, the power supply or the consumer set with “−” is deleted with respect to the reference of the simulation case Generated cases are generated.

  The case generation unit 112 generates a simulation case from the combination of the consumer and the power source received by the reception unit 111. In the examples shown in FIGS. 14 and 15, there are eight types of simulation cases including combinations of power sources and consumers, including the simulation case criteria (2 to the power of 3 (presence of Tohoku area power source 3 and presence of Tokyo area power source 4 , And the combination of the presence / absence of the Tokyo area customer 2)).

  In the present embodiment, the power setting screen and the customer setting screen have been described as separate screens, but they may be displayed on the same screen. The configuration of the setting screen shown in FIGS. 14 and 15 is an example, and the display column and the input column are not limited to these as long as the user can set a simulation case related to the combination of the power source and the customer. Absent.

  Returning to FIG. 2, the calculation unit 113 executes simulation based on the generated simulation case, and calculates a power retail business evaluation index for evaluating profitability of the power retail business. Specifically, the calculation unit 113, when notified from the reception unit 111 that the user has performed a simulation execution operation, is an optimization model (optimization problem) for minimizing the power purchase cost of a power retail business. Is used to execute a simulation in the set simulation case. The power purchase cost of the power retail business is an example of the power purchase cost in the present embodiment.

  The calculation unit 113 uses the following formula (1) and formulas (2-1) to (2-4) in the simulation. Expression (1) is an objective function indicating the amount of power purchase cost in the power retail business. Further, formulas (2-1) to (2-4) to be described later are formulas showing the constraint conditions of formula (1). Expressions (2-1) to (2-4) are constraints that the electric retailer observes when operating the electric power retailing business, such as a supply and demand balance.

  The calculation unit 113 solves an optimization problem (linear programming problem) that minimizes the objective function of Expression (1) under the constraint conditions shown in Expressions (2-1) to (2-4). For example, the calculation unit 113 may use a method such as a simplex method or an interior point method.

  “T” in Expression (1) is a time unit in which the evaluation target period for evaluating the profitability of the electric power retail business is divided every 30 minutes. Further, “g” in Expression (1) is a power source included in each of the above simulation cases. In addition, “a” in Expression (1) is a power area where a power source or a customer included in each of the above simulation cases is located.

In addition, c _g (g, t), c _Jb (a, t), and c _Js (a, t) in Expression (1) are calculated from the data stored in each database stored in the storage unit 115. 113 is a parameter input to equation (1) by 113.

The parameter c _g (g, t) is a metered charge of the power purchase price from the power source g at time t. Specifically, the calculation unit 113 inputs a metered charge per kWh acquired from the purchase price database 140 shown in FIG. 9 into c _g (g, t).

The parameter c _Jb (a, t) is an assumed spot price (purchase price) of the power area a at time t. Further, the assumed spot price (sales price) of the power area a at time t is input to the parameter c _Js (a, t). Specifically, the calculation unit 113 inputs the assumed spot price per kWh acquired from the assumed spot price database 151 shown in FIG. 12 to c _Jb (a, t) and c _Js (a, t).

The variable P _g (g, t) is the amount of power purchased from the power source g at time t. The variable P _Jb (a, t) is the amount of power purchased from the power market M in the power area a at time t. The variable P _Js (a, t) is the amount of power sold to the power market M in the power area a at time t. The unit of the values of P _g (g, t), P _Jb (a, t), and P _Js (a, t) is kWh.

  The first term of equation (1) represents the sum of the amount of power purchased from the power source in the evaluation target period. In addition, the second term of the formula (1) indicates an amount obtained by subtracting the sales amount of power to the power market M in the evaluation target period from the purchase amount of power from the power market M in the evaluation target period. In other words, the second term of the formula (1) indicates the amount of money that the power retail business pays to the power market M in the evaluation target period. An amount obtained by adding the first term and the second term of Expression (1) is an amount corresponding to a metered charge of the power purchase cost in the evaluation target period. Of the power purchase cost, the portion corresponding to the basic charge is constant because the demand does not change and does not affect the calculation result, so it is not included in the objective function here. A configuration in which the power purchase cost basic charge is included in the optimization model may be adopted.

  The evaluation target period is a period in which the profitability of the power retail business is evaluated by this simulation. The evaluation target period in the present embodiment is a period in which assumed data regarding power sources, consumers, interconnection lines, spot prices, and the like registered in the storage unit 115 is registered. Specifically, the evaluation target period includes the interconnection line utilization plan database 123 shown in FIG. 6, the demand assumption database 131 shown in FIG. 8, the supply power amount database 141 shown in FIG. 10, and the assumed spot price database 151 shown in FIG. The date and time registered in the items “date” and “time”. For example, in the present embodiment, when each of the above databases holds data of future dates for one year, the evaluation target period is a period for one year in the future.

  Moreover, it is good also as a structure which further provides the input column which can further limit an evaluation object period from the date and time registered into each database in the above-mentioned power supply setting screen and customer setting screen.

  The values of these variables when the value of equation (1) is minimized under the constraint conditions shown in the following equations (2-1) to (2-4) are output as solutions to the optimization problem. . In other words, the calculation unit 113, for each simulation case, purchases electric power for each time for each power source that minimizes the value of Equation (1), purchased electric energy for each time from the electric power market M, and electric power market M. And the amount of electricity sold for each time.

  “D” in Expression (2-1) indicates a consumer. The consumer input to the equation (2-1) is a consumer included in each of the above simulation cases.

G _{a in} Expression (2-1) indicates a set of power sources in the power area a. Further, L _a represents a set of tie-line connecting the power area a. D _{a in} Equation (2-1) indicates a set of consumers in the power area a.

P _d (d, t) and η _a are parameters that accept input of values.

The parameter P _d (d, t) is input by the calculation unit 113 with the demand power amount of the customer d at the time t acquired from the demand assumption database 131 shown in FIG. The unit of the value of P _d (d, t) is kWh.

The parameter eta _a, the calculation unit 113, loss in the power area a obtained from the wheeling database 150 shown in FIG. 11 are input.

The variable P _flow (l, t) is the amount of power (tidal current) flowing into or out of another power area using the interconnection line l at time t. The unit of the value of P _flow (l, t) is kWh. In addition to the variables included in Expression (1), the value of the variable P _flow (l, t) is also output by the calculation unit 113 as a solution to the optimization problem. Further, the variable P _flow (l, t) takes a value of + (plus) when flowing in between other power areas, and takes a value of-(minus) when flowing out.

  Expression (2-1) is an expression showing a constraint condition that the supply and demand balance for each power area is the same.

  The left side of Expression (2-1) indicates the amount of power supplied to the power area a. Specifically, the left side of Expression (2-1) indicates the amount of power supplied from the power source g in the power area a at time t, the amount of power flowing in or out of other power areas, and the power A value obtained by adding the amount of power purchased from the market M and subtracting the amount of power sold to the power market M is shown.

  Moreover, the right side of Formula (2-1) shows the power demand in the power area a. Specifically, the right side of Expression (2-1) indicates a value obtained by adding the amount of power lost during power transmission in power area a to the amount of power demanded by customer d in power area a at time t.

  When the values of the left side and the right side of Equation (2-1) are equal, the supply and demand balance for each power area matches.

  Expression (2-2) is an expression showing the upper limit constraint condition of the power supply for each power source and for each time.

P _gmax (g) in Expression (2-2) is a parameter that accepts an input of a value. The parameter P _gmax (g) is input with the value of the amount of power that can be supplied by the power source g, obtained from the supply power amount database 141 shown in FIG. When the type of the power source g is “always backup”, the upper limit restriction of the supplied power is P _g (g, t) ≦ P _gmax (g). Further, when the type of the power source g is “fixed”, the upper limit constraint of the supplied power is P _g (g, t) = P _gmax (g).

  As shown in Expression (2-2), the purchased power amount from the power source g at the time t must be equal to or less than or equal to the power amount that can be supplied by the power source g.

The expression (2-3) is an expression showing the constraint condition of the power supply amount for each power area of the power source whose type is “always backup”. BU _a indicates a set of power supplies whose type is “always backup” located in the power area a.

  As shown in Expression (2-3), in the power area a, the purchased power amount from the power source g at the time t must be equal to or less than the demand power amount of the consumer d at the time t.

  Expression (2-4) is an expression showing the upper limit constraint condition of the tidal flow rate of the interconnection line for each interconnection line and for each time.

P _flowmax (l) is a parameter to which an upper limit value of the tidal flow of the interconnection line 1 (the amount of electric power flowing into and out of the other electric power area through the interconnection line 1) is input. The parameter P _flowmax (l) is input by the calculation unit 113 with the amount of power that can be used by the power retailer for each interconnection line l obtained from the interconnection line utilization plan database 123 shown in FIG. In addition, when power flows out to the other power areas through the interconnection line l, P _flow (l, t) takes a value _of- (minus), so -P _flowmax (l) Lower limit value.

  As shown in Equation (2-4), the amount of power flowing into and out of other power areas through the interconnection line l at time t can be used by the power retailer for each interconnection line l Must be less than or equal to

The calculation unit 113 uses the above-described equation (1) and equations (2-1) to (2-4) to calculate the variable P _g (g that minimizes the value of the equation (1) that is the objective function for each simulation case. , T), P _Jb (a, t), P _Js (a, t), and P _flow (l, t). In other words, the calculation unit 113, for each simulation case, purchases power for each time for each power source that minimizes power purchase cost in the evaluation target period, purchase power for each time from the power market M, and power market. The amount of electric power sold to M for each time and the amount of electric power (transmission amount) for each interconnection line flowing into or out of other electric power areas are calculated.

  For example, for each simulation case, the value of each variable is calculated a plurality of times until the value of the variable that minimizes the value of Equation (1), which is the objective function, is specified. The value of the variable that minimizes the cost is calculated as the solution.

  The calculation unit 113 stores the calculation result for each simulation case in the storage unit 115 in association with the simulation case.

In addition, the calculation unit 113 calculates the purchased power amount for each time for each calculated power source, the purchased power amount for each time from the power market M, the sold power amount for each time to the power market M, and other power areas. From the amount of power (transmission amount) for each interconnection line that flows in or out between and the demand power amount of the customer d at time t input to the parameter P _d (d, t), in the evaluation target period Generate a power supply and demand plan.

  FIG. 16 is a graph showing an example of a supply and demand plan for each simulation case according to the present embodiment. In the graph shown in FIG. 16, the amount of power supplied to consumers, the amount of power purchased from the power source, and the amount of power traded with the power market M in a certain simulation case are shown for each power area. It is displayed.

  The supply-demand plan shown in FIG. 16 is a one-day supply-demand plan during the evaluation target period. The horizontal axis in FIG. 16 indicates the time in increments of 30 minutes. The value “48” on the horizontal axis corresponds to 24 hours. The vertical axis indicates the amount of electric power sold to the customer or the electric power market M with the center as the boundary, and the lower half indicates the electric energy purchased from the power source or the electric power market M. In other words, the upper half of the vertical axis represents power demand, and the lower half of the vertical axis represents power supply.

  In addition, the supply and demand plan shown in FIG. 16 shows a supply and demand plan for a power area having a frequency of 50 Hz in a simulation case in which a power area having a frequency of 50 Hz and a customer and a power source located in the power area having a frequency of 60 Hz are selected. It is a thing. In addition to customers and power sources located in the Tokyo area, Tohoku area, and Hokkaido area, which are power areas with a frequency of 50 Hz, interconnected lines are supplied through power lines located in the power area with a frequency of 60 Hz. Tidal current is shown. In addition, as shown in FIG. 16, the amount of power traded with the power market M is also included in the supply and demand plan.

  As shown in FIG. 16, in the supply and demand plan, the power demand and the supply amount for each time coincide. This is because, according to the above equation (2-1), the purchased power amount at each time for each power source that satisfies the constraint condition that the supply and demand balance matches, the purchased power amount at each time from the power market M, and the power market This is because the power sales amount for each time to M is calculated by the calculation unit 113.

  In the supply and demand plan shown in FIG. 16, the amount of power transmitted between different power areas is determined by the power retailer out of the amount of power that can be supplied from one power area to the other power area through each interconnection line. Less than available power. According to the above formula (2-4), the calculation unit 113 calculates the purchased power amount for each power source that satisfies the upper limit constraint condition of the telecommunication flow for each interconnected line and for each time. This is because it is calculated.

  The calculation unit 113 performs the simulation using the above-described formula (1) and formulas (2-1) to (2-4), thereby satisfying the constraint condition for each simulation case and in the evaluation target period. A supply and demand plan that minimizes the power purchase cost can be calculated.

  The calculation unit 113 can calculate not only the power area shown in FIG. 16 but also a supply and demand plan for other power areas according to the simulation case.

  Moreover, the display format of the supply and demand plan shown in FIG. 16 is an example, and is not limited to this. For example, the calculation unit 113 may generate a table, a list of numerical values, or the like instead of the graph. The calculation unit 113 stores the generated graph or the like in the storage unit 115 in association with the simulation case. Or the calculation part 113 is good also as what produces | generates a graph etc., when the reception part 111 receives operation from a user. The graph generated by the calculation unit 113 is output to the display device 104 by the output unit 114 described above. The output unit 114 may output a graph or the like to a printer (not shown) or the like.

  And the calculation part 113 performs the following formula | equation (3-1)-(3-3) for every simulation case, and calculates the sales, profit, and expense in the electric power retail business in an evaluation object period.

  Expression (3-1) is an expression for calculating the profit of the electric power retail business in the evaluation target period. P is profit, S is sales (income), and E is expense (expenditure, cost).

  Expression (3-2) is an expression for calculating sales in the evaluation target period.

  SR is sales obtained by a power retailer by selling power to consumers. Specifically, the calculation unit 113 is based on the basic charge and the metered charge registered in the sales price database 130 shown in FIG. 7 and the assumed demand electric energy stored in the demand assumption database 131 shown in FIG. Thus, the total value of the sales amount for each consumer included in the simulation case is calculated. The calculation unit 113 inputs the total value of the calculated sales amount into the SR.

SM is the sales that a power retailer obtains by selling power to the power market M. Specifically, the calculation unit 113 calculates the assumed spot price stored in the assumed spot price database 151 illustrated in FIG. 12 and the value of P _Js (a, t) calculated by Expression (1) (time t The total amount of sales for the power market M is calculated based on the amount of power sold to the power market M in the power area a. The calculation unit 113 inputs the calculated sales value to the SM.

  Expression (3-3) is an expression for calculating the cost in the evaluation target period.

EP is a cost (purchase amount, purchase amount) paid by a power retailer by purchasing power from a power source. Specifically, the calculation unit 113 calculates the basic charge and the metered charge registered in the purchase price database 140 shown in FIG. 9 and the value of P _g (g, t) calculated by Expression (1) (at time t). Based on the purchased power amount from the power source g), the total value of the purchase amount paid to each power source included in the simulation case is calculated. The calculation unit 113 inputs the total value of the calculated power purchase price into the EP.

  The EC is a consignment fee that a power retailer pays to a power transmission / distribution company to use the power distribution network. Specifically, the calculation unit 113 is based on the basic charge and the metered charge registered in the consignment database 150 shown in FIG. 11 and the assumed demand electric energy stored in the demand assumption database 131 shown in FIG. Calculate the delivery fee. The calculation unit 113 inputs the calculated delivery fee into the EC.

EM is a cost (purchase amount, purchase amount) paid by a power retailer by purchasing power from the power market M. Specifically, the calculation unit 113 calculates the assumed spot price stored in the assumed spot price database 151 illustrated in FIG. 12 and the value of P _Jb (a, t) calculated by Expression (1) (time t The total amount of money purchased from the electric power market M is calculated based on the electric power area a). The calculation unit 113 inputs the calculated total value of the power purchase amount into the EM.

  The above-described method for calculating sales, profit, and cost is an example, and the calculation unit 113 may further consider income and expenses other than those described above.

  And the calculation part 113 calculates a profit rate for every simulation case based on the calculated sales and profit. Profit ratio is the ratio of profit to sales.

  The profit and the profit rate are examples of the power retail business evaluation index for evaluating the profitability of the power retail business in the present embodiment. The power retail business evaluation index is not limited to this, and may be sales, expenses, or the like.

  The calculation unit 113 stores the calculated profit rate for each simulation case in the storage unit 115 in association with the simulation case. In addition, the calculation unit 113 generates a graph that displays the profit and the profit rate for each simulation case.

  FIG. 17 is an example of a graph comparing profitability for each simulation case according to the present embodiment. In the graph shown in FIG. 17, the horizontal axis indicates profit, and the vertical axis indicates profit rate. Further, the graph shown in FIG. 17 shows the difference between the profit and the profit ratio with respect to the reference with the reference of the simulation case (the profit and profit ratio of the combination of the customer and the power source in which a circle is input in the “reference”) as the origin. Accordingly, points C1 to C7 indicating the respective simulation cases (for example, the profit when the Tohoku area power supply 3 is added to the combination of the customer and the power supply in which a circle is input in the “reference” and the profit rate) The other points C2 to C7 are also arranged as profits and profit rates according to the combination of the customer and the power source shown in the simulation case.

  For example, in the simulation case indicated by the point C1, both profit and profit rate are higher than the standard profit and profit rate of the simulation case. In the simulation case indicated by the point C7, both profit and profit rate are lower than the standard profit and profit rate of the simulation case. The calculation unit 113 compares the profit and the profit rate for each simulation case as shown in FIG. 17 to select a combination of a power source and a consumer that is more profitable for a power retailer. Can help.

  In the prior art, changes in profitability due to differences in consumers were calculated. On the other hand, since the power retail business evaluation apparatus 1 of this embodiment calculates the profit, the profit rate, etc. by the difference in a power supply, it can perform more highly accurate profitability evaluation. The power retail business evaluation device 1 of the present embodiment considers the upper limit of the power transmission amount for each interconnection line as a constraint condition when power is transmitted between different power areas. For this reason, even when a power retailer conducts a power retail business including consumers or power sources located in a plurality of power areas, highly accurate profitability evaluation can be performed.

  In addition, since the power retail business evaluation device 1 of the present embodiment calculates the cost including the consignment fee (EC) in the calculation of the cost of Expression (3-3), the profitability evaluation based only on the power purchase cost is performed. Compared with, it is possible to evaluate profitability with higher accuracy.

  Moreover, the display format regarding the profitability comparison for each simulation case shown in FIG. 17 is an example, and the display format is not limited to this. For example, the calculation unit 113 may generate a table, a list of numerical values, or the like instead of the graph. The calculation unit 113 stores the generated graph or the like in the storage unit 115 in association with the simulation case. Or the calculation part 113 is good also as what produces | generates a graph etc., when the reception part 111 receives operation from a user. The graph generated by the calculation unit 113 is output to the display device 104 by the output unit 114 described above. The output unit 114 may output a graph or the like to a printer (not shown) or the like.

  Next, the flow of the simulation case generation process of the present embodiment configured as described above will be described.

  FIG. 18A is a flowchart illustrating an example of a flow of simulation case generation processing according to the present embodiment. The process of this flowchart is started when, for example, the menu screen option “simulation case setting” shown in FIG. 13 is selected by the user and the setting screen shown in FIGS.

  First, the reception unit 111 receives an input of a combination of a consumer to which power retailers supply power and a power supply to which the power retailers purchase power (S1). The reception unit 111 sends the received combination of the customer and the power source to the case generation unit 112.

  The case generation unit 112 generates a simulation case used in the simulation of profit evaluation of the power retail business from the combination of the input consumer and power supply. The case generation unit 112 stores the generated simulation case in the storage unit 115 (S2).

  Next, the flow of the profitability evaluation simulation process of this embodiment will be described. FIG. 18B is a flowchart illustrating an example of the flow of simulation processing for profitability evaluation according to the present embodiment. The process of this flowchart is started, for example, when the menu screen option “simulation execution” shown in FIG. 13 is selected by the user.

  The calculation unit 113 selects the first simulation case from the plurality of simulation cases stored in the storage unit 115 (S11).

Based on the selected simulation case, the calculation unit 113 calculates the parameters P _gmax (g), P _flowmax (l), and P _d (d) of the expressions (1) and (2-1) to (2-4). , T), η _a, c _g (g, t), c _Jb (a, t), c _Js (a, t) are set to values acquired from the respective databases in the storage unit 115 (S12).

Next, the calculation unit 113 satisfies the constraints of the expressions (2-1) to (2-4), and the variable P that minimizes the value (power purchase cost) of the expression (1) that is an objective function. The values of _g (g, t), P _Jb (a, t), P _Js (a, t), and P _flow (l, t) are calculated (S13).

In addition, the calculation unit 113 calculates the values of the calculated variables P _g (g, t), P _Jb (a, t), P _Js (a, t), P _flow (l, t) and the parameter P _d (d , T) based on the demand power amount of the customer d at time t input at time t, a supply and demand plan for each simulation case shown in FIG. 16 is generated (S14).

  Next, the calculation unit 113 executes Expressions (3-1) to (3-3) for each simulation case, and calculates sales, profits, and expenses in the power retail business in the evaluation target period (S15). ).

The calculation unit 113 calculates the values of the calculated variables P _g (g, t), P _Jb (a, t), P _Js (a, t), P _flow (l, t), the data or graph of the supply and demand plan, Sales, profits, and expenses are stored in the storage unit 115 in association with the simulation case (S16).

  Here, the calculation unit 113 determines whether or not the simulation process has been completed for all simulation cases (S17).

  When the simulation process has not been completed for all simulation cases (S17 “No”), the calculation unit 113 selects the next simulation case (S18).

  For all simulation cases, the calculation unit 113 repeats the processes of S12 to S18 until the simulation process is completed.

  When the simulation process is completed for all simulation cases (S17 “Yes”), the calculation unit 113 calculates a profit rate based on the sales and profits of each simulation case (S19). Moreover, the calculation part 113 produces | generates the graph which compared the profitability for every simulation case, as shown in FIG. 17 based on a profit and a profit rate. In addition, the calculation unit 113 stores the calculated profit rate and the generated graph in the storage unit 115 in association with the simulation case.

  The output unit 114 outputs the simulation result calculated by the calculation unit 113 to the display device 104 (S20). For example, the output unit 114 outputs a graph comparing the profit and the profit rate for each simulation case to the display device 104. Further, the output unit 114 may further output a graph indicating a supply and demand plan for each simulation case.

  In FIGS. 18A and 18B, the setting of the simulation case and the execution of the simulation process are started as separate processes, but the process procedure is not limited to this. For example, the setting of the simulation case and the execution of the simulation process may be performed continuously as a series of processes.

  In FIG. 18B, the calculation unit 113 performs the profit rate calculation process (S19) for each simulation case after the loop process (S12 to S18) for each simulation case is completed. The rate may be calculated in the loop process.

  As described above, the storage unit 115 of the power retail business evaluation device 1 according to the present embodiment stores the demand assumption database 131, the purchase price database 140, and the supply power amount database 141. Moreover, the reception part 111 receives the input of the combination of a consumer and a power supply. And the output part 114 makes the electric power purchased from the power supply contained in the combination the consumer contained in the combination based on the combination of a consumer and a power supply, and the data of the database memorize | stored in the memory | storage part 115. The profit and profit ratio in the case of selling are output as a power retail business evaluation index for evaluating the profitability of the power retail business. For this reason, according to the electric power retail business evaluation apparatus 1 of this embodiment, more accurate profitability evaluation can be performed about the electric power retail business.

  In addition, the storage unit 115 of the power retail business evaluation device 1 of the present embodiment stores the power area where the customer is located in the sales price database 130 and stores the power area where the power source is located in the purchase price database 140. The power demand amount for each consumer, the purchase price of the power for each power source, and the power amount that can be supplied for each power source are stored for each region. Furthermore, the storage unit 115 stores interconnection line utilization plan data and a consignment fee for each power area related to power supply. For this reason, according to the electric power retail business evaluation apparatus 1 of this embodiment, highly accurate profitability evaluation can be performed also for an electric power retail business including a customer or a power source located in a plurality of electric power areas.

  Further, the output unit 114 of the power retail business evaluation device 1 according to the present embodiment has the smallest power purchase cost value among the power purchase costs calculated a plurality of times by changing the amount of power purchased from the power source included in the combination. The amount of purchased power for each power source and the amount of power transmitted for each interconnection line are output. However, it is not limited to the output when the power purchase cost is minimized, and the purchased power amount for each power source when the power purchase cost value is smaller and the transmission amount for each interconnection line are output. Also good.

  The output unit 114 of the power retail business evaluation device 1 according to the present embodiment includes a demand power amount for each consumer stored for each power area, a power purchase price for each power source, and a power amount that can be supplied for each power source. For each power source when the power purchase cost value is reduced among the power purchase costs calculated multiple times by changing the amount of power purchased from the power sources included in the combination based on the interconnected line utilization plan data The amount of purchased power and the amount of power transmitted for each interconnection line are output. For this reason, according to the electric power retail business evaluation apparatus 1 of this embodiment, the supply-and-demand plan in which electric power purchase cost becomes smaller can be output.

  Further, the storage unit 115 of the power retail business evaluation device 1 of the present embodiment further stores an assumed spot price for each time in the power market M, and the output unit 114 is included in a combination of a consumer and a power source. The profit and the profit rate when the power purchased from the power source or the power market M is sold to the customer or the power market M included in the combination are output as the power retail business evaluation index. For this reason, according to the electric power retail business evaluation apparatus 1 of this embodiment, since the profit and profit rate including the electric power sales transaction with the electric power market M can be evaluated, more highly profitable profitability Can be evaluated.

  In the present embodiment, the power retailer has been described as supplying power from a power source to a consumer across a plurality of power areas, but is not limited thereto. For example, the power retail business evaluation apparatus 1 of the present embodiment can be applied to a power retailer that supplies power from a power source to a customer within one power area.

(Embodiment 2)
In the electric power retail business evaluation device 1 of the above-described first embodiment, the electric power retailer evaluates profitability on the assumption that the electric power retailer sells the power purchased from the power source or the electric power market M to the customer or the electric power market M. I was doing a simulation. The electric power retail business evaluation device 1 of the present embodiment further performs a simulation for evaluating profitability when the electric power retailer installs a distributed power source in a consumer or power source.

  FIG. 19 is a diagram illustrating an example of a distributed power supply according to the second embodiment. The distributed power source in the present embodiment is a PV (Photovoltaics, photovoltaic power generation device) or a storage battery. As shown in FIG. 19, the power retailer installs PV 50 or a storage battery 51 in the consumer 4.

  The electric power transmitted from the power source by the power transmission line 41 shown in FIG. 19 is supplied to the consumer 4 through the distribution line 42 after being lowered to a predetermined voltage by the transformer 40. The PV 50 and the storage battery 51 are installed closer to the customer 4 than the transformer 40. The electric power generated by the PV 50 and the electric power discharged from the storage battery 51 are supplied to the customer 4 through the distribution line 42. Further, the storage battery 51 acquires and stores at least one or more of the power transmitted from the power source by the power transmission line 41 and the power generated by the PV 50 through the distribution line 42. The electric power transmitted from the power source includes electric power purchased from the electric power market M.

  In FIG. 19, although both PV50 and the storage battery 51 are installed with respect to the customer 4, only any one may be installed.

  Moreover, in FIG. 19, although the distributed power supply is installed with respect to the consumer 4, the storage battery 51 may be installed in the power supply side. However, in the present embodiment, it is not assumed that the PV 50 is installed on the power supply side.

  When the power retailer supplies power to the customer 4 using the transmission line 41, a consignment fee is generated. On the other hand, when the power retailer supplies power to the customer 4 using the distribution line 42, no consignment fee is generated. For this reason, by installing the distributed power source in the consumer 4, the consignment fee paid by the power retailer is reduced. In addition, by installing the storage battery 51 as a power source, the storage battery 51 is charged during a time period when the power demand is low (or a time period when the purchase price of power is cheaper than other time periods), and there is a large amount of power demand. By using the stored power in the time period, the purchase cost of power is reduced.

  Providing a distributed power source in this way changes profitability in the electricity retail business. For this reason, the electric power retail business evaluation apparatus 1 of this embodiment performs the simulation which evaluates the profitability of an electric power retail business in the case where a distributed power source is installed as shown in FIG.

  Moreover, the electric power retail business evaluation apparatus 1 of this embodiment can perform two types of simulation of profitability evaluation. The first is a simulation for evaluating the profitability of the electric power retail business, including incremental profits from installing distributed power sources. Second, in addition to the incremental profit from installing a distributed power source, the cost of recovering the purchase price (initial investment, initial cost) of the distributed power source when a distributed power source is installed, and the initial investment It is the simulation for evaluating the period concerning collection. Hereinafter, the first simulation is referred to as a first simulation, and the second simulation is referred to as a second simulation.

  Next, the structure of the electric power retail business evaluation apparatus 1 in this embodiment is demonstrated. The hardware configuration of the power retail business evaluation device 1 is the same as the hardware configuration of the first embodiment described with reference to FIG.

  FIG. 20 is a block diagram illustrating an example of a functional configuration of the electric power retail business evaluation device 1 according to the present embodiment. As illustrated in FIG. 20, the power retail business evaluation device 1 of this embodiment includes a reception unit 1111, a case generation unit 1112, a calculation unit 1113, an output unit 1114, and a storage unit 1115.

  The storage unit 1115 is configured by the HDD 103, for example. The storage unit 115 includes a power area database (DB) 121, a connection line database (DB) 122, a connection line use plan database (DB) 123, a sales price database (DB) 130, and a demand assumption database (DB). ) 131, purchase price database (DB) 140, supplied power amount database (DB) 141, consignment database (DB) 150, assumed spot price database (DB) 151, PV attribute database (DB) 171, A PV assumed output ratio database (DB) 172 and a storage battery attribute database (DB) 173 are stored.

  Electric power area database 121, interconnection line database 122, interconnection line utilization plan database 123, sales price database 130, demand assumption database 131, purchase price database 140, supplied power amount database 141, and consignment database 150 The assumed spot price database 151 is the same as that in the first embodiment.

  Moreover, the PV attribute database 171, the PV assumed output ratio database 172, and the storage battery attribute database 173 are an example of information about power supply by a distributed power source installed in a consumer or a power source in the present embodiment.

  FIG. 21 is a diagram showing an example of a table configuration of the PV attribute database 171 according to the present embodiment. As shown in FIG. 21, the PV attribute database 171 includes PVNo. And the estimated price for each PV 50 and the depreciation period are stored in association with each other.

  The item “PVNo.” Is a number for identifying the PV50. The PV attribute database 171 is not limited to numbers, and may store a code or the like that can identify the PV 50.

  The item “assumed price” is an item in which an assumed purchase price per 1 kW of the rated capacity of the PV 50 is registered. The assumed price is an example of the initial cost of the distributed power source in the present embodiment.

  The item “amortization period” is an item in which a PV 50 accounting depreciation period is registered. The amortization period may be, for example, the legal useful life defined in depreciation of fixed assets.

  FIG. 22 is a diagram showing an example of a table configuration of the assumed PV output ratio database 172 according to the present embodiment. As illustrated in FIG. 22, the PV assumed output ratio database 172 stores a date, a time, and a PV assumed output ratio for each power area in association with each other.

  The PV assumed output ratio is the ratio of the amount of power generation that is assumed to be generated by the PV50 with respect to the rated capacity of the PV50. The unit of the assumed PV output ratio is kWh / kW.

  The rated capacity of PV50 is the maximum power generation amount that can be generated by PV50. The rated capacity of the PV 50 is set by the user when executing a simulation described later. Or the rated capacity of PV50 is calculated by the calculation part 1113 mentioned later. Details of the rated capacity will be described later.

  The date and time set in the items “date” and “time” shown in FIG. 22 are future dates and times. The date and time is an evaluation target period for evaluating the profitability of a power retail business in a simulation executed by the calculation unit 1113 described later.

  Further, the assumed PV output ratio varies depending on the power area where the PV 50 is installed. This is because sunshine conditions and the like differ depending on the region. For example, the assumed PV output ratio of “Hokkaido area PV1” is “0.009 kWh / kW” for 30 minutes between the time “4:30” and “5:00” on the date “2016/4/1”. .

  Which power area each PV 50 is installed in is input from the setting screen described later by the user.

  The PV assumed output ratio data stored in the PV assumed output ratio database 172 may be obtained by changing the date of the PV output ratio data one year ago, for example, or calculated in advance based on factors such as the weather It may be.

  FIG. 23 is a diagram illustrating an example of a table configuration of the storage battery attribute database 173 according to the present embodiment. As shown in FIG. 23, the storage battery attribute database 173 includes a storage battery No. And the charge rate for every storage battery 51, a discharge rate, an assumed price, and a depreciation period are matched and preserve | saved.

  The item “storage battery No.” is a number for identifying the storage battery 51. The storage battery attribute database 173 may store a code or the like that can specify the storage battery 51 without being limited to a number.

  The item “charge rate” is an item in which the charge rate of the storage battery 51 is registered. The charging rate is a relative ratio of current during charging to battery capacity. The storage battery 51 having a larger charge rate value can be charged faster.

  The item “discharge rate” is an item in which the discharge rate of the storage battery 51 is registered. The discharge rate is a relative ratio of current during discharge to battery capacity.

  The item “assumed price” is an item in which an assumed purchase price per rated capacity 1 kW of the storage battery 51 is registered. The assumed price is an example of the initial cost of the distributed power source in the present embodiment.

  In addition, the item “amortization period” is an item in which the accounting amortization period of the storage battery 51 is registered. The amortization period may be, for example, the legal useful life defined in depreciation of fixed assets.

  Note that the data and values stored in the above-described PV attribute database 171, PV assumed output ratio database 172, and storage battery attribute database 173 are examples, and are not limited thereto.

  Returning to FIG. 20, the output unit 1114 of the present embodiment displays the setting screen for setting the combination of the customer to be simulated, the power source, and the distributed power source, with the same functions as those of the first embodiment. Output to the device 104. Details of the setting screen will be described later in the description of the case generation unit 1112.

  In addition, the output unit 1114 of the present embodiment outputs a selection screen as to whether to execute the first simulation or the second simulation described above to the display device 104. For example, you may add the function which can designate either the 1st simulation or the 2nd simulation to the menu screen of Embodiment 1 shown in FIG.

  In addition, the output unit 1114 of the present embodiment includes a fluctuation amount of profit (incremental profit) due to the installation of the distributed power source in the evaluation target period calculated by the calculation unit 1113 described later, and a rated capacity of the distributed power source where the profit increases. And the recovery period of the initial cost for installing the distributed power source.

  Returning to FIG. 20, the receiving unit 1111 of this embodiment has the same function as that of the first embodiment, and receives an input of a combination of a consumer, a power source, and a distributed power source. Specifically, the reception unit 1111 receives an input of a combination of a consumer, a power source, and a distributed power source that is input to the setting screen output to the display device 104 by the output unit 1114. In addition, the reception unit 1111 receives the pattern of the combination of the distributed power sources input to the setting screen output to the display device 104 by the output unit 1114 and the rated capacity of the distributed power source. Details of the setting screen will be described later in the description of the case generation unit 1112.

  The reception unit 1111 receives a user's selection as to whether to execute the first simulation or the second simulation described above.

  The case generation unit 1112 of this embodiment has the same function as that of the first embodiment, and further includes a combination of a consumer, a power source, and a distributed power source received by the reception unit 1111, and a combination pattern of the distributed power source From this, a simulation case is generated.

  FIG. 24 is a diagram illustrating an example of a setting screen for setting a combination of a simulation target power source and a distributed power source according to the present embodiment. The “power supply No.”, “power supply name”, “reference”, and “addition / deletion” illustrated in FIG. 24 are the same as those of the power supply setting screen of the first embodiment described with reference to FIG. A setting screen for setting a combination of a power source to be simulated and a distributed power source in this embodiment (hereinafter referred to as a power source and a distributed power source setting screen) is added to the input field of the power source setting screen in the first embodiment. , Including an input field “distributed power supply”.

  The input field “distributed power supply” of the power supply and distributed power supply setting screen shown in FIG. 24 is an item for accepting the setting of the power supply in which the distributed power supply is installed. For example, when the user inputs a circle in the input field “Distributed Power Supply” on either line of the power supply or distributed power supply setting screen, the combination of the distributed power supply installed on the power supply corresponding to that line Is received by the receiving unit 1111 described later. In the example shown in FIG. 24, since no circle is input in any row, it indicates that no distributed power source is installed in the power source.

  FIG. 25 is a diagram illustrating an example of a setting screen for setting a combination of a simulation target consumer and a distributed power source according to the present embodiment. “Customer No.”, “customer name”, “reference”, and “addition / deletion” illustrated in FIG. 25 are the same as those in the customer setting screen of the first embodiment described with reference to FIG. A setting screen (hereinafter referred to as a setting screen for a customer and a distributed power source) for setting a combination of a simulation target customer and a distributed power source in the present embodiment is an input field of the customer setting screen of the first embodiment. In addition to the input field "Distributed Power Supply".

  The input field “distributed power supply” on the setting screen of the consumer and distributed power source shown in FIG. 25 is a column for accepting the setting of the consumer installing the distributed power source. For example, in the example illustrated in FIG. 25, a combination in which a distributed power source is installed in “Tokyo area customer 2” is received by the receiving unit 1111 described later.

  FIG. 26 is a diagram showing an example of a setting screen for setting a combination pattern of distributed power sources according to the present embodiment. As shown in FIG. 26, the setting screen for setting the pattern of the combination of distributed power sources includes a display field “pattern”, an input field “PVNo.”, And “storage battery No.”.

  The display column “pattern” is a column in which the number of combinations of distributed power sources is displayed. The output unit 1114 may display the number according to the number of combinations input by the user on the setting screen illustrated in FIG. Alternatively, the number up to the upper limit of the number of patterns that can be set in advance by the user may be displayed in the display field “pattern” by the output unit 1114.

  The input columns “PV No.” and “storage battery No.” are columns for receiving a combination of PV 50 and storage battery 51 to be introduced as a distributed power source. In the present embodiment, a pattern is set for each combination. PVNo. Is a type of PV 50 to be introduced as a distributed power source, and corresponds to “PV No.” in the PV attribute database 171 shown in FIG. Battery No. Is a type of the storage battery 51 to be introduced as a distributed power source, and corresponds to “storage battery No.” in the storage battery attribute database 173 shown in FIG.

  For example, “Pattern 1” shown in FIG. PV50 of “1” and the storage battery No. shown in FIG. The combination with the storage battery 51 of “1” is a pattern introduced as a distributed power source. Each pattern may not always include both the PV 50 and the storage battery 51. And PVNo. Only one of these may be set.

  In the combination of the power source set in the power source and distributed power source setting screens shown in FIGS. 24 and 25, the power source set in the customer and distributed power source setting screen or the distributed power source with the customer, the type of the distributed power source (PV50 or The storage battery 51) is not specified. Therefore, combinations of types of distributed power sources to be combined with each power source or customer are set according to the pattern set on the setting screen shown in FIG. In the present embodiment, a simulation is performed for each of the patterns (combination of distributed power sources) set in FIG.

  FIG. 27 is a diagram showing an example of a setting screen for setting the rated capacity of the distributed power supply according to the present embodiment. As shown in FIG. 27, the setting screen includes a display field “PV / storage battery No.”, an input field “PV capacity”, and “storage battery capacity”.

  The display column “PV / storage battery No.” is an item in which the PV attribute database 171 shown in FIGS. 21 and 23 and “PVNo.” And “storage battery No.” of the storage battery attribute database 173 are displayed by the output unit 1114, respectively. It is.

  The input field “PV capacity” is the PV No. set in “PV / storage battery No.”. It is a column which receives the setting of the rated capacity of PV50 identified by. In addition, the input field “storage battery capacity” has a storage battery No. set in “PV / storage battery No.”. It is a column which receives the setting of the rated capacity of the storage battery 51 identified by. The user can obtain the result of simulation for evaluating profitability by freely setting the rated capacity by inputting the rated capacity of the PV 50 and the storage battery 51 on the setting screen.

  In the present embodiment, the setting screens shown in FIGS. 24 to 27 have been described as individual screens, but these may be displayed on the same screen. The configuration of the setting screen shown in FIGS. 24 to 27 is an example. If the user can set a simulation case for a combination of a power source, a consumer, and a distributed power source, the display column and the input column are included in these screens. It is not limited.

  Returning to FIG. 20, the calculation unit 1113 of the present embodiment executes a simulation based on the generated simulation case, and calculates a power retail business evaluation index for evaluating the profitability of the power retail business. Specifically, the calculation unit 1113, when notified from the reception unit 1111 that the user has performed a simulation execution operation, is an optimization model (optimization problem) for minimizing the power purchase cost of a power retail business. A simulation using the objective function is executed. The power purchase cost of the power retail business is an example of the power purchase cost in the present embodiment.

  In the present embodiment, the calculation unit 1113 evaluates the profitability of the electric power retail business including the change in profitability when the distributed power source is installed in the power source or the consumer based on the generated simulation case. Electricity retail business evaluation index is calculated.

  The calculation unit 1113 uses the following formula (4-1) or formula (4-2) and formulas (5-1) to (5-17) in the simulation.

  Specifically, the calculation unit 1113 minimizes the value of the objective function of the equation (4-1) or the equation (4-2) under the constraint conditions represented by the equations (5-1) to (5-17). Solve optimization problems (linear programming problems). For example, the calculation unit 1113 may use a method such as a simplex method or an interior point method.

  In the description of Expression (4-1) and Expression (4-2), description of variables and parameters similar to Expression (1) and Expressions (2-1) to (2-4) of Embodiment 1 is omitted. .

In the equation (4-1), P _PV (d, t), P _rest (d, t), Q _dchg (d, t), and Q _ddis (d, t) are variables that are solutions to the optimization problem.

The variable P _PV (d, t) is a power generation output amount at time t of the PV 50 installed in the consumer d.

The variable _Prest (d, t) is the output suppression power at time t of the PV 50 installed in the consumer d. Output suppression electric power is electric power required in order to suppress that the electric power output from PV50 is transmitted to the transmission line 41 exceeding the transformer 40 shown in FIG. The power output from the PV 50 is transmitted to the transmission line 41 beyond the transformer 40 shown in FIG. 19 is referred to as “reverse power flow”, and the power retailer does not generate a reverse power flow. The amount of power output must be managed.

The variable Q _dchg (d, t) is the amount of electric power charged at the time t of the storage battery 51 installed in the consumer d.

The variable Q _ddis (d, t) is the amount of discharge power at the time t of the storage battery 51 installed in the consumer d.

_{P PV (d, t),} P rest (d, t), the unit of the value of _{Q dchg (d, t),} Q ddis (d, t) is a kWh.

Further, c _w (d) is a parameter in which the unit price per 1 kWh of the consignment fee of the customer d is input by the calculation unit 1113. The calculation unit 1113 inputs the unit price per 1 kWh of the metered fee of the consignment fee acquired from the consignment database 150 shown in FIG. 11 to c _w (d).

W _PV (d), W _SBd (d), and W _SBg (g) in Equation (4-2) are variables that are solutions to the optimization problem.

The variable W _PV (d) is the rated capacity of the PV 50 installed in the consumer d. The variable W _SBd (d) is the rated capacity of the storage battery 51 installed in the consumer d. The variable W _SB (g) is the rated capacity of the storage battery 51 installed in the power source g. In the second simulation using the equation (4-2), the rated capacity of the distributed power source is output as a solution to the optimization problem by the calculation unit 1113. Therefore, the distribution set on the setting screen shown in FIG. The rated capacity of the type power supply is not used.

In addition, C _PV , C _SB , T _PV , T _SB , and T in Expression (4-2) are parameters that accept input of values by the calculation unit 1113.

The parameter C _PV is an assumed price of the PV 50 registered in the PV attribute database 171 shown in FIG.

Parameter C _SB is an assumed price of storage battery 51 registered in storage battery attribute database 173 shown in FIG.

The parameter T _PV is the _PV 50 depreciation period registered in the PV attribute database 171 shown in FIG.

Parameter T _SB is the depreciation period of storage battery 51 registered in storage battery attribute database 173 shown in FIG.

  The parameter T is an evaluation target period for evaluating profitability of the electric power retail business. For example, in the parameter T, the evaluation target period is input in units of years.

  Expressions (4-1) and (4-2) are both objective functions indicating the amount of power purchase cost in the power retail business. The calculation unit 1113 uses Expression (4-1) in the first simulation and uses Expression (4-2) in the second simulation.

  Formula (4-1) is a formula showing the value of the power purchase cost of the power retail business including the amount of change in the payment amount of the consignment fee during the evaluation target period due to the installation of the distributed power source.

  On the other hand, in addition to the expression (4-1), the expression (4-2) further represents the power purchase cost of the power retail business including the investment recovery cost of the initial cost for the installation of the distributed power source in the evaluation target period. It is an expression indicating a value.

  First, Formula (4-1) will be described. The first term and the second term of the formula (4-1) are the same as the formula (1) of the first embodiment. The third term of the equation (4-1) indicates the amount of change in the payment amount of the consignment fee due to the installation of the distributed power source in the evaluation target period.

  Next, Formula (4-2) will be described. The first term and the second term of the formula (4-2) are the same as the formula (1) of the first embodiment. The fifth term of the formula (4-2) is the same as the third term of the formula (4-1).

  The 3rd term of a formula (4-2) shows the total value of the investment recovery cost in the evaluation object period of storage battery 51 installed in each power supply. The investment recovery cost is an amount required per year in order to recover the investment cost (initial investment of the distributed power source) during the depreciation period of the distributed power source. Moreover, the 4th term of Formula (4-2) is the investment recovery cost in the evaluation object period of PV50 installed in each consumer, and the investment recovery cost in the evaluation object period of the storage battery 51 installed in each consumer. The total value is shown.

  Next, expressions (5-1) to (5-17) will be described.

  Hereinafter, variables and parameters included in the expressions (5-1) to (5-17) will be described. The description of the variables and parameters similar to those in the formula (1), formulas (2-1) to (2-4), formula (4-1), and formula (4-2) in the first embodiment will be omitted.

S _d (d, t), Q _gchg (g, t), Q _gdis (g, t), and S _g (g, t) are variables that are solutions to the optimization problem.

The variable S _d (d, t) is the remaining amount of electricity stored at time t of the storage battery 51 installed in the consumer d. The variable Q _gchg (g, t) is the amount of charging power at time t of the storage battery 51 installed in the power source g. The variable Q _gdis (g, t) is the amount of discharge power at time t of the storage battery 51 installed in the power source g. The variable S _g (g, t) is the remaining power storage amount at time t of the storage battery 51 installed in the power source g.

P _cont (d), η _chg , η _dis , R _chg , R _dis , and η _PV (t) are parameters that accept input of values by the calculation unit 1113.

The parameter P _cont (d) is the contract power amount of the consumer d. The calculation unit 1113 inputs the contract power amount of the customer d acquired from the sales price database 130 illustrated in FIG. 7 into the parameter P _cont (d).

The parameter η _chg is the charge loss rate of the storage battery 51. The parameter η _dis is a discharge loss rate of the storage battery 51. The values of the charge loss rate and the discharge loss rate of the storage battery 51 may be determined by constants, or may be further registered in the storage battery attribute database 173 shown in FIG.

The parameter R _chg is a charge rate for each storage battery 51. The parameter R _dis is a discharge rate for each storage battery 51.

The parameter η _PV (t) is a power generation output ratio with respect to the rated capacity at time t for each PV 50. The calculation unit 1113 inputs the power generation output ratio acquired from the PV assumed output ratio database 172 illustrated in FIG. 22 into the parameter η _PV (t).

Further, as described above, when the calculation unit 1113 executes the second simulation according to the equation (4-2), W _PV (d), W _SBd (d), and W _SBg (g) are variables. . On the other hand, when the calculation unit 1113 executes the first simulation process according to the equation (4-1), W _PV (d), W _SBd (d), and W _SBg (g) are input values by the calculation unit 1113. Is a parameter that accepts. In this case, the value of the rated capacity of PV 50 set on the setting screen shown in FIG. 27 is input to W _PV (d) by the calculation unit 1113. In addition, the value of the rated capacity of the storage battery 51 set on the setting screen illustrated in FIG. 27 is input to W _SBd (d) and W _SBg (g) by the calculation unit 1113.

  Expression (5-1) is an expression indicating a constraint condition that the supply and demand balance for each power area matches. Moreover, Formula (5-2) is a formula which shows the constraint condition which does not generate a reverse power flow for every consumer and every time. Expression (5-3) is an expression showing a constraint condition for limiting the contract power amount for each consumer and for each time.

  Moreover, Formula (5-5) is a formula which shows the constraint conditions of the capacity | capacitance of the storage battery 51 installed in the power supply side for every storage battery 51 for every time. Formula (5-6) is a formula that shows the constraint condition according to the energy conservation law of the storage battery 51 installed on the power supply side for each storage battery 51 and for each time. Expression (5-7) is an expression showing the constraint condition of the discharge power amount of the storage battery 51 installed on the power supply side for each storage battery 51 and for each time. Expression (5-8) is an expression that indicates the constraint condition of the charging power amount of the storage battery 51 installed on the power supply side for each storage battery 51 and for each time.

  Moreover, Formula (5-9) is a formula which shows the constraint conditions in which the forward flow of the storage battery 51 is impossible for every storage battery 51 and every time. The restriction that forward flow is not possible is that the value obtained by subtracting the amount of power to be discharged from the amount of power to be charged per time unit of the storage battery 51 exceeds the amount of power to be generated per time unit of the power source in which the storage battery 51 is installed. It is a constraint that must not be.

  Expression (5-12) is an expression showing the constraint condition of the capacity of the PV 50 installed on the customer side for each PV 50 and for each time. Moreover, Formula (5-13) is a formula which shows the restriction | limiting conditions of the suppression electric energy of PV50 installed in the consumer side for every PV50 and every time.

  Moreover, Formula (5-14) is a formula which shows the constraint conditions of the capacity of the storage battery 51 installed on the consumer side for each storage battery 51 and for each time. Moreover, Formula (5-15) is a formula which shows the constraint conditions by the energy conservation law of the storage battery 51 installed in the consumer side for every storage battery 51 and every time. Formula (5-16) is a formula showing the constraint condition of the discharge power amount of the storage battery 51 installed on the consumer side for each storage battery 51 and for each time. Expression (5-17) is an expression that indicates the constraint condition of the charging power amount of the storage battery 51 installed on the consumer side.

  Moreover, Formula (5-4), Formula (5-10), and Formula (5-11) are respectively Formula (2-2), Formula (2-3), and Formula (2-4) of the embodiment. ), The description is omitted.

  The calculation unit 1113 performs processing for minimizing the value of the objective function of the formula (4-1) or the formula (4-2) under the constraint conditions represented by the above formulas (5-1) to (5-17). To calculate the value of the variable. In addition, the calculation unit 1113 stores the calculation result for each simulation case in the storage unit 115 in association with the simulation case.

The calculation unit 1113 also calculates the calculated variables P _g (g, t), P _Jb (a, t), P _Js (a, t), P _flow (l, t), P _PV (d, t), P _rest (d, t), Q _dchg (d, t), Q _ddis (d, t), S _d (d, t), Q _gchg (g, t), Q _gdis (g, t), S _g The value of (g, t), W _PV (d), W _SBd (d), W _SBg (g), and the demand power amount of the customer d at time t input to the parameter P _d (d, t), Generate a power supply and demand plan for each simulation case in the evaluation target period. The calculation unit 1113 of the present embodiment includes, in addition to the supply and demand plan of the first embodiment, the amount of power generated by the PV 50 at each time, the output suppression power, the amount of power charged and discharged by the storage battery 51, and the like.

  And the calculation part 1113 calculates the sales, profit, and expense in the electric power retail business in an evaluation object period for every simulation case by Formula (3-1)-(3-3) demonstrated in Embodiment 1. FIG.

  Further, as described above, the calculation unit 1113 of the present embodiment calculates the incremental profit for each simulation case due to the installation of the distributed power source by the above formula (4-1) or formula (4-2). To do. Incremental profit is obtained by using the equation (4-1) or (4-2) as the objective function for solving the optimization problem, and solving the optimization problem under the condition that no distributed power source is installed. This is the difference between the values of the objective function when the optimization problem is solved under the condition where the distributed power source is installed. For example, in the case of the first simulation, by installing a distributed power source, the payment amount of the consignment fee is reduced and an incremental profit is generated. In the case of the second simulation, since the investment cost of the distributed power source (initial investment of the distributed power source) is included in advance as the power purchase cost, the incremental profit is the amount excluding the investment cost of the distributed power source. .

  FIG. 28 is an example of a table showing the incremental profit assumed for each combination pattern of the distributed power sources according to the present embodiment when the first simulation process is executed according to the above equation (4-1). As illustrated in FIG. 28, the calculation unit 1113 includes the incremental profit assumed for each combination pattern of the PV 50 and the storage battery 51 set on the setting screen illustrated in FIG. 26, and the PV 50 corresponding to the increased amount of the incremental profit. A table displaying the rated capacity of the storage battery 51 is generated. For example, in the pattern “1” of FIG. 26, “PV No.” is “1” and “Storage Battery No.” is “1”. Therefore, the table shows an assumed price “250,000 / kW” when “PV No.” is “1” (FIG. 21) and an assumed price “200,000 / kW” when “storage battery No.” is “1”. kWh ”(FIG. 23), incremental profit (3 million yen / year), PV50 rated capacity (150 kW), storage battery 51 rated capacity (10 kWh), and investment (PV250,000 yen / kW × 150 kW + storage battery 200,000 yen / kWh × 10 kWh = 39.5 million yen) is displayed. The other columns in the table shown in FIG. 28 are also assigned according to the pattern, and the description thereof is omitted.

  Since the example shown in FIG. 28 shows the incremental profit when a distributed power source is installed in a certain consumer, the calculation unit 1113 generates the table for each consumer. When a distributed power source is installed in the power source, the calculation unit 1113 generates a table that displays the incremental profit that displays only the storage battery 51 and the rated capacity.

  Furthermore, the calculation unit 1113 of the present embodiment calculates the investment recovery period of the distributed power supply in the evaluation target period for each simulation case when the first simulation process is executed by the above-described equation (4-1). . Specifically, the calculation unit 1113, based on the investment cost of the distributed power source calculated by Expression (4-1) and the calculated incremental profit, the accumulated amount of the incremental profit becomes the same as the amount of the investment cost. Calculate the number of years.

  In this embodiment, in addition to the profit and profit ratio, the incremental profit from the installation of the distributed power source and the investment recovery period of the distributed power source are the power retail business evaluation index for evaluating the profitability of the power retail business. To do.

  For example, the calculation unit 1113 may generate a graph indicating the investment recovery period. FIG. 29 shows a case of the pattern “1” in FIG. 26 as an example of a graph showing the investment recovery period according to the present embodiment. As shown in FIG. 29, the initial investment amount (investment recovery cost) in the case where a distributed power source with a rated capacity of PV 150 kW and a storage battery 10 kWh is installed at a consumer is 39.5 million yen as shown in FIG. In the simulation case, the calculation unit 1113 calculates that the incremental profit is 3 million yen per year. In this case, as shown in FIG. 29, the investment payback period is 13.2 years.

  The calculation unit 1113 may generate a table for comparing the investment recovery periods for each combination pattern of the PV 50 and the storage battery 51. FIG. 30 is an example of a table showing the investment recovery period according to the present embodiment. As illustrated in FIG. 30, the calculation unit 1113 generates a table that displays the calculated number of years of the investment recovery period for each combination pattern of the PV 50 and the storage battery 51 set on the setting screen illustrated in FIG. 26.

  FIG. 31 is another example of a graph showing the investment recovery period according to the present embodiment. The “PV unit price” on the horizontal axis shown in FIG. 31 is an assumed price for each PV 50 registered in the PV attribute database 171 shown in FIG. Further, the “storage battery unit price” on the axis in the depth direction shown in FIG. 31 is an assumed price for each storage battery 51 registered in the storage battery attribute database 173 shown in FIG. Further, “investment recovery period” on the vertical axis shown in FIG. 31 is the number of years of the investment recovery period calculated by the calculation unit 1113.

  FIG. 32 is another example of the table showing the incremental profit assumed for each combination pattern of the distributed power sources according to the present embodiment. Specifically, FIG. 32 shows the incremental profit assumed for each combination pattern of the distributed power sources according to the present embodiment when the second simulation process is executed by the above equation (4-2). . As shown in FIG. 32, the calculation unit 1113 calculates the total value of the incremental profits in the evaluation target period calculated for each combination pattern of the PV 50 and the storage battery 51 set on the setting screen shown in FIG. A table displaying the PV 50 or the capacity of the storage battery 51 corresponding to the increased amount is generated. For example, in the pattern “1” of FIG. 32, “PV No.” is “1” and “Storage Battery No.” is “1”. Therefore, the table shows an assumed price “250,000 / kW” when “PV No.” is “1” (FIG. 21) and an assumed price “200,000 / kW” when “storage battery No.” is “1”. Incremental profit (0 yen) in the case of kWh ″ (FIG. 23), the optimum capacity of PV50 (0 kW), and the optimum capacity of storage battery 51 (0 kWh) are displayed. The other columns in the table shown in FIG. 32 are also assigned according to the pattern, and the description thereof is omitted.

  In the above equation (4-2), the investment cost of the distributed power source is included in advance as the power purchase cost. Therefore, in FIG. 32, the amount of incremental profit excluding the initial investment amount is displayed.

  Since the example shown in FIG. 32 shows the incremental profit when a distributed power source is installed in a certain consumer, the calculation unit 1113 generates the table for each consumer. When a distributed power source is installed in the power source, the calculation unit 1113 generates a table that displays the incremental profit that displays only the storage battery 51 and the rated capacity.

  Further, the calculation unit 1113 may generate a graph comparing the profitability of each simulation case based on the profit and the profit rate, as in the first embodiment.

  The calculation unit 1113 stores the generated graph or table shown in FIGS. 28 to 32 in the storage unit 1115 in association with the simulation case. Alternatively, the calculation unit 1113 may generate a graph or the like when the reception unit 1111 receives an operation from the user. The graph generated by the calculation unit 1113 is output to the display device 104 by the output unit 1114 described above. The output unit 1114 may output a graph or the like to a printer (not shown) or the like.

  The display formats of the graphs and tables shown in FIGS. 28 to 32 are examples, and are not limited thereto.

  Next, the flow of the simulation case generation process of the present embodiment configured as described above will be described.

  FIG. 33 is a flowchart illustrating an example of the flow of simulation case generation processing according to the present embodiment. The process of this flowchart starts when, for example, the option “simulation case setting” on the menu screen shown in FIG. 13 is selected by the user and the setting screen shown in FIGS.

  First, the reception part 1111 receives the input of the combination of a consumer, a power supply, and a distributed power supply (S21). In this case, the reception unit 1111 receives the combination pattern of the distributed power sources and the rated capacity of the distributed power sources. The reception unit 1111 sends the received combination of the customer and the power source, the pattern of the combination of the distributed power source, and the rated capacity of the distributed power source to the case generation unit 1112.

  The case generation unit 1112 generates a simulation case that is used in a profit evaluation simulation of a power retail business from the input combination of a consumer, a power source and a distributed power source, and a combination pattern of the distributed power source. The case generation unit 1112 stores the generated simulation case in the storage unit 1115 (S22).

  Next, the flow of the profitability evaluation simulation process of this embodiment will be described. FIG. 34 is a flowchart showing an example of the flow of profitability evaluation simulation processing according to the present embodiment. The process of this flowchart is started, for example, when the menu screen option “simulation execution” shown in FIG. 13 is selected by the user. FIG. 34 shows a flow when the calculation unit 1113 executes the first simulation based on the equation (4-1).

  The calculation unit 1113 selects the first simulation case from the plurality of simulation cases stored in the storage unit 1115 (S31).

Then, based on the selected simulation case, the calculation unit 1113 uses the parameters P _gmax (g), P _flowmax (l), and P _{d of} the expressions (4-1) and (5-1) to (5-17). (D, t), P _cont (d), η _a, η _chg , η _dis , R _chg , R _dis , η _PV (t), c _g (g, t), c _Jb (a, t), c Values acquired from each database in the storage unit 1115 are set in _Js (a, t) and c _w (d). Further, the calculation unit 1113 sets the value of the rated capacity of the PV 50 or the storage battery 51 set on the setting screen shown in FIG. 27 in W _PV (d), W _SBd (d), and W _SBg (g) (S32). ).

Next, in the parameter setting process of S33, the calculation unit 1113 satisfies the constraints of the expressions (5-1) to (5-17) and then calculates the value of the expression (4-1) that is the objective function. The variables P _g (g, t), P _Jb (a, t), P _Js (a, t), P _flow (l, t), P _PV (d, t), which minimize the (power purchase cost), P _rest (d, t), Q _dchg (d, t), Q _ddis (d, t), S _d (d, t), Q _gchg (g, t), Q _gdis (g, t), S _g The value of (g, t) is calculated (S33). In addition, the calculation unit 1113 calculates the value of the equation (4-1) when no distributed power source is installed, and calculates the difference from the value of the equation (4-1) for each simulation case. Calculate the profit.

Further, the calculation unit 1113 supplies and supplies each simulation case based on the value of each variable calculated in the process of S33 and the demand power amount of the customer d at the time t input to the parameter P _d (d, t). A plan is generated (S34).

  Next, the calculation unit 1113 executes Formulas (3-1) to (3-3) described in the first embodiment for each simulation case, and sales, profits, and expenses in the power retail business in the evaluation target period. Are calculated (S35).

  The calculation unit 1113 stores the calculated value of each variable, supply / demand plan data or graph, sales, profit, and cost in the storage unit 1115 in association with the simulation case (S36). In addition, as illustrated in FIG. 28, the calculation unit 1113 generates a table or graph indicating incremental profits due to the installation of the distributed power source, and stores the table or graph in the storage unit 1115 in association with the simulation case.

  Here, the calculation unit 1113 determines whether or not the simulation processing has been completed for all simulation cases (S37).

  When the simulation process has not been completed for all simulation cases (S37 “No”), the calculation unit 1113 selects the next simulation case (S38).

  For all simulation cases, the calculation unit 1113 repeats the processes of S32 to S38 until the simulation process is completed.

  When the simulation process is completed for all the simulation cases (S37 “Yes”), the calculation unit 1113 calculates a profit rate based on the sales and profits of each simulation case (S39). Further, the calculation unit 1113 may generate a graph comparing the profitability of each simulation case based on the profit and the profit rate, as in the first embodiment.

  In addition, the calculation unit 1113 calculates the number of years in which the cumulative amount of the incremental profit is the same as the initial investment amount based on the initial investment amount of the distributed power source and the incremental profit per year, thereby obtaining the distributed power source. The investment recovery period (initial cost recovery period) is calculated (S40). Moreover, the calculation part 1113 produces | generates the graph or table | surface which shows an investment recovery period, as shown to FIGS. In addition, the calculation unit 1113 stores the calculated profit rate, the investment recovery period, and the generated graph or table in the storage unit 1115 in association with the simulation case.

  The output unit 1114 outputs the simulation result calculated by the calculation unit 1113 to the display device 104 (S41). For example, the output unit 1114 displays a graph comparing profits and profit rates for each simulation case, a table or graph indicating incremental profits due to the installation of distributed power sources, and a graph or table indicating investment recovery periods of distributed power sources. Output. Further, the output unit 1114 may further output a graph indicating a supply and demand plan for each simulation case.

  In FIGS. 33 and 34, the setting of the simulation case and the execution of the simulation process are started as separate processes, but the process procedure is not limited to this. For example, the setting of the simulation case and the execution of the simulation process may be performed continuously as a series of processes.

  In FIG. 34, the calculation unit 1113 performs the profit rate calculation process (S39) for each simulation case and the initial investment of the distributed power source after the loop process (S32 to S38) for each simulation case is completed. Although the collection period calculation process (S40) is performed, the profit rate may be calculated in the loop process.

In addition, when the calculation unit 1113 executes the second simulation, W _PV (d), W _SBd (d), and W _SBg (g) are not parameters in the equation (4-2). In the setting process, the calculation unit 1113 does not set values for these. The calculation unit 1113 sets values acquired from the respective databases in the storage unit 1115 for the other parameters as in the first simulation.

In the process of S33, the calculation unit 1113 calculates the values of W _PV (d), W _SBd (d), and W _SBg (g) in addition to the same variable values as in the first simulation. Also, the calculation unit 1113 calculates the investment recovery cost of the initial investment of the distributed power source according to the third term and the fourth term of the equation (4-2).

  Further, when the calculation unit 1113 executes the second simulation, the incremental profit excluding the investment cost of the distributed power source is obtained on the premise that the initial investment of the distributed power source is recovered in the amortization period. The process of calculating the investment recovery period of the distributed power source is not performed. Alternatively, the calculation unit 1113 may calculate the investment recovery period of the distributed power source in the second simulation by the same process as the first simulation.

  In processes other than the above-described S32, S33, and S40, the calculation unit 1113 performs the same process as the first simulation in the second simulation.

  Thus, the memory | storage part 1115 of the electric power retail business evaluation apparatus 1 of this embodiment memorize | stores the PV attribute database 171, the PV assumption output ratio database 172, and the storage battery attribute database 173. Moreover, the reception part 1111 receives the input of the combination of a consumer, a power supply, and a distributed power supply. Then, the output unit 1114 increases the amount of fluctuation in revenue due to the installation of the distributed power source and the revenue based on the combination of the consumer, the power source and the distributed power source, and the data in the database stored in the storage unit 1115. Outputs the capacity of the distributed power supply. For this reason, according to the electric power retail business evaluation apparatus 1 of this embodiment, more accurate profitability evaluation can be performed for the electric power retail business when a distributed power source is installed in a consumer or a power source.

  In addition, the storage unit 1115 of the power retail business evaluation device 1 of the present embodiment further stores the initial cost (assumed price) of the distributed power source in the PV attribute database 171 and the storage battery attribute database 173. The output unit 1114 further includes an initial cost of the distributed power source, a combination of a customer, a power source, and a distributed power source, a PV attribute database 171, a PV assumed output ratio database 172, and a storage battery attribute database 173. Based on the stored data, the initial cost recovery period of the distributed power source is output. For this reason, according to the electric power retail business evaluation apparatus 1 of this embodiment, it is possible to evaluate the profitability of the electric power retail business including the initial cost for installing the distributed power source.

  The distributed power source in this embodiment is a PV 50 or a storage battery 51. The PV 50 and the storage battery 51 are generally used in many distributed power sources. For this reason, according to the electric power retail business evaluation apparatus 1 of this embodiment, since the electric power retail business can be evaluated when the PV50 or the storage battery 51 which is a general distributed power source is installed, many electric power retailers Can respond to business conditions.

(Modification)
The functions of the electric power retail business evaluation device 1 described in the first embodiment may be realized by cloud computing, a server device installed in a data center, or the like. FIG. 35 is a diagram illustrating an example of the overall configuration of the electric power retail business evaluation device system S in the present modification.

  As illustrated in FIG. 35, the power retail business evaluation device system S in the present modification includes an information processing device 1001 and a server device 10 installed in a data center 80. The information processing apparatus 1001 and the server apparatus 10 installed in the data center 80 are connected to each other via a network 90. The network 90 is a network such as the Internet.

  In this modification, an electric power retailer or a person (user) who performs processing related to evaluation of profitability in response to a request from the electric power retailer uses a combination of a power source and a consumer using the information processing apparatus 1001. Performs input and execution of simulation for profitability evaluation. In addition, a business operator who provides a simulation service for evaluating the power retail business manages the server device 10 installed in the data center 80 or the like, and provides the service to the user.

  The hardware configurations of the information processing apparatus 1001 and the server apparatus 10 according to this modification are the same as the hardware configuration of the power retail business evaluation apparatus 1 according to the first embodiment described with reference to FIG. Alternatively, the server device 10 may be a virtual machine based on cloud computing technology.

  As illustrated in FIG. 35, the information processing apparatus 1001 includes a reception unit 2111, a communication unit 116, and an output unit 2114.

  The reception unit 2111 has the same function as the reception unit 111 of the first embodiment described with reference to FIG. The output unit 2114 has the same function as the output unit 114 of the first embodiment.

  The communication unit 116 transmits / receives information to / from the server device 10. For example, the communication unit 116 determines a combination of a consumer to which the power retailer accepted by the accepting unit 2111 supplies power and a power supply to which the power retailer purchases power from the server device 10. Send to. Further, the communication unit 116 receives from the server device 10 a power supply and demand plan calculated by the server device 10, a power retail business evaluation index for evaluating the profitability of the power retail business for each simulation case, and the like.

  As illustrated in FIG. 35, the server device 10 includes a communication unit 117, a case generation unit 2112, a calculation unit 2113, and a storage unit 2115.

  The case generation unit 2112 and the calculation unit 2113 have the same functions as the case generation unit 112 and the calculation unit 113 of the first embodiment described in FIG. Further, the storage unit 2115 stores the same database and the like as the storage unit 115 of the first embodiment described with reference to FIG.

  The communication unit 117 transmits and receives information to and from the information processing apparatus 1001. For example, the communication unit 117 receives a combination of a consumer to be supplied with power from the information retailer 1001 and a power source to be purchased by the power retailer. To do. In addition, the communication unit 117 transmits to the information processing apparatus 1001 the power supply / demand plan calculated by the calculation unit 2113, the power retail business evaluation index for evaluating the profitability of the power retail business for each simulation case, and the like.

  The information processing apparatus 1001 and the server apparatus 10 execute simulation case generation processing and profitability evaluation simulation processing, as in FIGS. 18A and 18B.

  According to the power retail business evaluation device system S of the present modification, even if the user does not have the power retail business evaluation device 1 for simulating the power retail business evaluation, the power retail business evaluation simulation is performed. be able to. In addition, since a plurality of information processing apparatuses 1001 can be connected to one server apparatus 10, more users can perform a simulation of evaluation of a power retail business.

  The electric power retail business profitability evaluation program executed by the electric power retail business evaluation device 1 of each of the above-described embodiments is an installable or executable file in a CD-ROM, a flexible disk (FD), a CD- The program is recorded on a computer-readable recording medium such as R and DVD (Digital Versatile Disk).

  Provided by storing a profitability evaluation program of a power retail business executed by the power retail business evaluation apparatus 1 of each of the above-described embodiments on a computer connected to a network such as the Internet and downloading the program via the network. You may comprise so that it may do. Moreover, you may comprise so that the profitability evaluation program of the electric power retail business performed with the electric power retail business evaluation apparatus 1 of each above-mentioned embodiment may be provided or distributed via networks, such as the internet. Moreover, you may comprise so that the profitability evaluation program of the electric power retail business performed with the electric power retail business evaluation apparatus 1 of each above-mentioned embodiment may be previously incorporated in ROM etc. and provided.

  The power retail business profitability evaluation program executed by the power retail business evaluation device 1 of each of the above-described embodiments has a module configuration including the above-described units (a reception unit, a case generation unit, a calculation unit, and an output unit). As the actual hardware, the CPU (processor) reads the program from the storage medium and executes it, so that the above-described units are loaded onto the main storage device. It is generated on a storage device.

  The profitability evaluation program of the power retail business executed by the information processing apparatus 1001 and the server apparatus 10 according to the above-described modified example is an installable format or executable format file, such as a CD-ROM, a flexible disk (FD), a CD -Recorded and provided on computer-readable recording media, such as R and DVD (Digital Versatile Disk).

  Further, by storing a profitability evaluation program of a power retail business executed by the information processing apparatus 1001 and the server apparatus 10 according to the above-described modification on a computer connected to a network such as the Internet, and downloading the program via the network. You may comprise so that it may provide. Further, the profitability evaluation program for the power retail business executed by the information processing apparatus 1001 and the server apparatus 10 of the above-described modification may be provided or distributed via a network such as the Internet. Moreover, you may comprise so that the profitability evaluation program of the electric power retail business performed with the information processing apparatus 1001 of the above-mentioned modification and the server apparatus 10 may be previously incorporated in ROM etc. and provided.

  The profit retailing business profitability evaluation program executed by the information processing apparatus 1001 and the server apparatus 10 according to the above-described modification includes the above-described units (communication unit (information processing apparatus), reception unit, output unit, communication unit (server apparatus)). ), A module configuration including a case generation unit and a calculation unit). As actual hardware, a CPU (processor) reads a program from the storage medium and executes the program, and the respective units are loaded onto the main storage device. A communication unit (information processing device), a reception unit, an output unit, a communication unit (server device), a case generation unit, and a calculation unit are generated on the main storage device.

  Although several embodiments of the present invention have been described, these embodiments are presented by way of example and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the scope of the invention. These embodiments and modifications thereof are included in the scope and gist of the invention, and are included in the invention described in the claims and the equivalents thereof.

1 Electricity retail business evaluation device 10 Server device 40 Transformer 41 Transmission line 42 Distribution line 50 PV
51 Storage Battery 111, 1111 Reception Unit 112, 1112 Case Generation Unit 113, 1113 Calculation Unit 114, 1114 Output Unit 115, 1115 Storage Unit 121 Power Area Database 122 Interconnection Line Database 123 Interconnection Line Use Planning Database 130 Sales Price Database 131 Demand Assumed database 140 Purchase price database 141 Power supply database 150 Consignment database 151 Assumed spot price database 171 PV attribute database 172 Assumed PV output ratio database 173 Storage battery attribute database l, l1 to l10 Interconnection line M Electric power market

Claims (8)

The amount of power demand for each consumer who is a sales destination for the power retailer to sell power, the purchase price of the power for each power source from which the power is purchased, and the amount of power that can be supplied for each power source A storage unit for storing;
A reception unit that receives input of a combination of the consumer and the power source;
Purchasing from the power sources included in the combination based on the combination, the amount of power demand for each consumer, the purchase price of the power for each power source, and the amount of power that can be supplied for each power source An output unit that outputs an electric power retail business evaluation index for evaluating profitability of the electric power retail business when electric power is sold to the consumer included in the combination; and
Electricity retail business evaluation device equipped with. The storage unit stores, for each region, a demand power amount for each consumer, a purchase price of the power for each power source, and a power amount that can be supplied for each power source, and connects between different regions. Interconnecting line utilization plan data that is data on the amount of power that can be used by the power retailer out of the amount of power that can be supplied from one region to the other region per time unit for each of the plurality of interconnecting lines And the consignment fee for each region related to the supply of power,
The output unit includes the combination, a demand power amount for each consumer stored for each region, a purchase price of the power for each power source, a power amount that can be supplied for each power source, and the continuous power amount. Based on the utility line utilization plan data and the consignment fee for each region, the power retail business evaluation index is output.
The power retail business evaluation apparatus according to claim 1. The output unit includes the combination, a demand power amount for each consumer stored for each region, a purchase price of the power for each power source, a power amount that can be supplied for each power source, and the continuous power amount. Based on the grid usage plan data, the purchase cost of power calculated multiple times by changing the amount of power to be purchased from the power source included in the combination, the purchase cost value becomes smaller Output the purchased power amount for each power source and the power transmission amount for each interconnection line,
The power retail business evaluation apparatus according to claim 2. The storage unit further stores a predicted power purchase price and a predicted power sale price for each time in the power market,
The output unit, based on the combination, the information on the consumer and the power source, the predicted power purchase price and the predicted power sale price, from the power source or the power market included in the combination. Outputting the electric power retail business evaluation index for evaluating profitability of the electric power retail business when the purchased electric power is sold to the consumer or the electric power market included in the combination;
The power retail business evaluation apparatus according to any one of claims 1 to 3. The storage unit further stores information about power supply by a distributed power source installed in the consumer or the power source,
The reception unit receives an input of a combination of the consumer, the power source, and the distributed power source,
The output unit, based on the combination and information on power supply by the distributed power supply, the amount of change in profit due to the installation of the distributed power supply, and the capacity of the distributed power supply where the profit increases. Output,
The power retail business evaluation apparatus according to any one of claims 1 to 4. The storage unit further stores an initial cost of the distributed power source,
The output unit further outputs a recovery period of the initial cost based on the initial cost, the combination, and information on power supply by the distributed power source.
The power retail business evaluation apparatus according to claim 5. The distributed power source is a solar power generation device or a storage battery.
The power retail business evaluation apparatus according to claim 5 or 6. A power retail business evaluation method executed by a power retail business evaluation device,
The power retail business evaluation device is a power demand amount for each consumer who is a sales destination for the power retailer to sell power, a purchase price of the power for each power source from which the power is purchased, and a power purchase price for each power source. A storage unit that stores the amount of power that can be supplied;
A reception step for receiving an input of a combination of the consumer and the power source;
Purchasing from the power sources included in the combination based on the combination, the amount of power demand for each consumer, the purchase price of the power for each power source, and the amount of power that can be supplied for each power source An output step of outputting an electric power retail business evaluation index for evaluating profitability of the electric power retail business when electric power is sold to the consumer included in the combination;
Electricity retail business evaluation method including.

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