JP2021039699A - Electric power procurement support method and system - Google Patents

Abstract

To provide an electric power procurement support method for reducing electric power charges paid by consumers.SOLUTION: It is an electric power procurement support method for supporting the procurement of electric power for a plurality of consumers from a plurality of procurement sources, in an electric power procurement support system 100. A processor 103 receives an evaluation index including an electric power procurement cost, a renewable energy ratio, or a non-carbon ratio, and determines, based on the received evaluation index, one or more consumer combinations in which the plurality of consumers are classified as well as the power procurement amount for each of one or more procurement sources for each customer combination.SELECTED DRAWING: Figure 1

Description

The present invention generally relates to computer technology that assists in power procurement.

Procurement cost is one index of electricity procurement, and electricity charges are an example of procurement cost. Generally, consumers want to reduce electricity charges. As a technique for supporting the reduction of electricity charges, for example, the techniques disclosed in Patent Document 1 and Patent Document 2 are known.

Japanese Unexamined Patent Publication No. 2004-7856 Japanese Unexamined Patent Publication No. 2017-182471

For consumers or retailers, there are other sources of electricity, such as other consumers and the electricity trading market, in addition to the electric power companies. In addition, each electric power company provides a power plan defined by factors such as the unit price of power and the supply period. The consumer purchases electricity procured based on the procurement source defined by the source and the source's electricity plan. If a procurement plan can be generated in consideration of multiple procurement sources and the electricity rate can be calculated, further reduction of the electricity rate can be expected.

Patent Document 1 discloses a technique for grouping a plurality of consumers so that the temporal demand pattern of the total power demand of the plurality of consumers is leveled. Patent Document 2 discloses a technique for reducing the total demand power charge by dividing the power demand based on a plurality of charge plans.

However, neither Patent Documents 1 and 2 disclose or suggest a method for supporting electric power procurement in consideration of a plurality of procurement sources.

The above points are the same for the determination of the procurement plan in consideration of other purposes in place of or in addition to the reduction of electricity charges.

The power procurement support system supports the procurement of power for multiple consumers from multiple procurement sources. Specifically, the electric power procurement support system accepts an evaluation index including the electric power procurement cost, the renewable energy ratio, or the non-carbon ratio, and a plurality of consumers are classified based on the received evaluation index. The above consumer combinations and the amount of electricity procured from one or more sources for each consumer combination are determined.

According to the present invention, it is possible to reduce the electricity charges paid by consumers.

The configuration of the entire system including the power procurement support system according to the embodiment of the present invention is shown. The outline of procurement plan generation is shown. The structure of the first demand forecast table is shown. The structure of the procurement source table is shown. The structure of the second demand forecast table is shown. The flow of processing performed by the consumer combination section is shown. The outline of the consumer combination is shown. The evaluation index UI is shown. The flow of processing performed by the procurement source combination unit is shown. The outline of the business combination is shown. The flow of processing performed by the first planning unit is shown. An example of the first planning UI is shown. An example of the first planning UI is shown. The outline of the generation of the second procurement plan is shown. The flow of processing performed by the second planning unit is shown. An example of the second planning UI is shown. An example of the second planning UI is shown. A modified example of the procurement source combination is shown.

In the following description, the "interface device" may be one or more communication interface devices. The one or more communication interface devices may be one or more similar communication interface devices or two or more different types of communication interface devices.

Further, in the following description, the "memory" is one or more memory devices which are an example of one or more storage devices, and may be typically a main storage device. At least one memory device in the memory may be a volatile memory device or a non-volatile memory device.

Further, in the following description, the "permanent storage device" may be one or more permanent storage devices which are an example of one or more storage devices. The persistent storage device may typically be a non-volatile storage device (eg, auxiliary storage device), specifically, for example, HDD (Hard Disk Drive), SSD (Solid State Drive), NVMe (Non-Volatile). It may be a Memory Express) drive or SCM (Storage Class Memory).

Further, in the following description, the "storage device" may be at least a memory of a memory and a persistent storage device.

Further, in the following description, the "processor" may be one or more processor devices. The at least one processor device may typically be a microprocessor device such as a CPU (Central Processing Unit), but may be another type of processor device such as a GPU (Graphics Processing Unit). At least one processor device may be single-core or multi-core. At least one processor device may be a processor core. The at least one processor device may be a processor device in a broad sense such as a hardware circuit (for example, FPGA (Field-Programmable Gate Array) or ASIC (Application Specific Integrated Circuit)) that performs a part or all of the processing.

Further, in the following description, information obtained by obtaining an output for an input may be described by an expression such as "xxx table", but the information may be data having any structure (for example, a structure). It may be structured data or unstructured data), or it may be a learning model such as a neural network that produces an output for an input. Therefore, the "xxx table" can be referred to as "xxx information". Further, in the following description, the configuration of each table is an example, and one table may be divided into two or more tables, or all or a part of the two or more tables may be one table. You may.

Further, in the following description, the function may be described by the expression of "kkk part", but the function may be realized by executing one or more computer programs by the processor, or one. It may be realized by the above hardware circuit (for example, FPGA or ASIC), or may be realized by a combination thereof. When a function is realized by executing a program by a processor, the specified processing is appropriately performed using a storage device and / or an interface device, so that the function may be at least a part of the processor. Good. The process described with the function as the subject may be a process performed by a processor or a device having the processor. The program may be installed from the program source. The program source may be, for example, a program distribution computer or a computer-readable recording medium (eg, a non-temporary recording medium). The description of each function is an example, and a plurality of functions may be combined into one function, or one function may be divided into a plurality of functions.

Further, in the following description, the common code among the reference codes may be used when the same type of elements are not distinguished, and the reference code may be used when the same type of elements are described separately. is there. For example, when the explanation is made without distinguishing the consumer combinations, it is described as "customer combination 701", and when the individual customer combinations are explained separately, the "customer combination 701a" and "customer" are described. It may be described as "Combination 701b".

Hereinafter, an embodiment of the present invention will be described.

First, with reference to FIG. 2, the definition of terms and the outline of the procurement plan generation performed in the present embodiment will be described.

There is a first procurement timing for the first procurement planning period. The “first procurement timing” is a timing for generating the first procurement plan, which is a time before the start time of the first procurement planning period. The "first procurement plan" is a procurement plan for electric power supplied during the first procurement plan period. The “first procurement planning period” is the period during which the power to be procured is supplied. An example of the first procurement plan period is 2020/4 / 1~2021 / 3/ 31 (t 2 ~t 6), an example of the first procurement timing, in 2019/7/26 (t 1 ) is there.

There is a second procurement timing for the second procurement planning period. There may be a plurality of second procurement planning periods. The “second procurement timing” is the timing at which the second procurement plan is generated, which is after the first procurement timing and before the start time of the second procurement plan period. The "second procurement plan" is a procurement plan for electricity supplied during the second procurement plan period. The “second procurement planning period” is the period during which the power to be procured is supplied, and is typically a part of the first procurement planning period. An example of the second procurement planning period is 2020/7/27 to 2020/7/28 (t _{4 to t 5} ), and an example of the second procurement timing is _{2020/7/26 (t 3} ). is there.
That is, in the present embodiment, first, at the first procurement timing, the first procurement plan is generated for the first procurement planning period. Then, at the second procurement timing, a second procurement plan is generated for the second procurement planning period. As a typical example, as shown in FIG. 2, the second procurement planning period is a part of the first procurement planning period. Further, the period from the second procurement timing to the start time of the second procurement planning period is shorter than the period from the first procurement timing to the start time of the first procurement planning period. Therefore, the generation of the second procurement plan may correspond to a partial amendment of the first procurement plan. The first procurement planning period may be composed of a plurality of second procurement planning periods, and after the generation of the first procurement plan, each second procurement planning period corresponds to the second procurement planning period. A second procurement plan may be generated at the second procurement timing. In other words, at each second procurement timing, the portion of the first procurement plan corresponding to the second procurement plan period corresponding to the second procurement timing may be modified.
Hereinafter, the present embodiment will be described in detail.

FIG. 1 shows the configuration of the entire system including the power procurement support system according to the embodiment of the present invention.

The power procurement support system 100 is based on a plurality of types of computational resources. The plurality of types of computing resources include, for example, an interface device 101, a storage device 102, and a processor 103 connected to them. The power procurement support system 100 may be a computer system composed of one or more computers having such a plurality of types of computing resources, or a computer system having such a plurality of types of computing resources (for example, It may be a system realized on a cloud platform). The "display" of the information by the electric power procurement support system 100 may mean displaying the information on the display device of the computer in the electric power procurement support system 100, or the electric power procurement support system 100 displays the information on the remote computer. The information may be transmitted for use (in the latter case, the information is displayed by a remote computer). An example of a remote calculator is a retailer terminal 180. The retail operator terminal 180 is an information processing terminal (for example, a laptop-type or tablet-type personal computer) used by an operator of an electric power retail electric utility. The retailer terminal 180 has an input device and a display device. The input device and the display device may be integrated like a touch panel. The interface device 101 communicates with an external device such as the retailer terminal 180.

In the storage device 102, a first demand forecast table 111 (an example of the first demand forecast information), a procurement source table 112 (an example of the procurement source information), and a second demand forecast table 113 (an example of the second demand forecast information) are stored. An example) is stored.

The first demand forecast table 111 forecasts the power demand in a time series in a future period for each of the plurality of consumers, and the period includes the above-mentioned first procurement planning period. In the present embodiment, the “customer” may mean a power receiving contractor. Therefore, for example, when each of a plurality of branches or a plurality of business establishments in one company is a power receiving contractor, the branch office or the business establishment is a consumer, in other words, one company has a plurality of consumers. It will be. The electric power procurement support system 100 is a system suitable for determining a procurement plan for a group (for example, an organization or a region) having a plurality of consumers. The “retailer” can make a proposal to such a group based on the procurement plan provided by the power procurement support system 100. At least a retailer is not essential, and if there is no retailer, an information processing terminal used by an operator belonging to a group having a plurality of consumers may be adopted instead of the retailer terminal 180. ..

The procurement source table 112 shows the relationship between the unit price of electricity and the conditions for each of the plurality of electric power companies. The "electric power company" referred to here is an example of a supplier, for example, a wholesale company or a general electric power company.

The second demand forecast table 113 forecasts the power demand in a time series in a future period for each of the plurality of consumers, and the period includes the above-mentioned second procurement planning period. In the present embodiment, there is a second demand forecast table 113 for each second procurement planning period, but instead, there is one second demand forecast table 113 for each of the plurality of second procurement planning periods. You may.

The storage device 102 stores a computer program (not shown), and when such a computer program is executed by the processor 103, the procurement decision unit 190 and the procurement output unit 195 are realized. The procurement decision unit 190 determines a procurement plan (electric power procurement plan). The procurement output unit 195 outputs the determined procurement plan, for example, displays the procurement plan on the retailer terminal 180.

The procurement decision unit 190 has an index reception unit 131, a consumer combination unit 132, a procurement source combination unit 133, a first planning unit 134, and a second planning unit 142. The index receiving unit 131 accepts the input of the evaluation index. The consumer combination unit 132 generates a consumer combination based on the first demand forecast table 111. The procurement source combination unit 133 generates a business combination based on the procurement source table 112. The first planning unit 134 determines the first procurement plan based on the combination of consumers, the combination of businesses, and the input evaluation index. The second planning unit 142 determines the second procurement plan based on the time-series power demand represented by the first procurement plan, the second demand forecast table 113, and the input evaluation index.

The procurement output unit 195 outputs (typically displays) the first procurement plan, the first output unit 151, and outputs (typically displays) the second procurement plan, the second output unit 152. And have.

The above is the outline of the power procurement support system 100. The first demand forecast table 111 and the second demand forecast table 113 may be prepared by a method such as being input from the outside, but may be prepared by the power procurement support system 100. For example, the storage device 102 may store the demand history table 192 representing the time series of the measured values of the demand power of each of the plurality of consumers, and the demand forecasting unit 191 may be realized by the processor 103. The demand forecasting unit 191 may periodically collect the demand power (actual measurement value) for each of the plurality of consumers, and store the collected demand power in the demand history table 192. The demand forecasting unit 191 may generate the first demand forecasting table 111 and the second demand forecasting table 113 based on the demand history table 192.

Hereinafter, the present embodiment will be described in detail. In the present embodiment, the procurement sources included in the procurement source include, for example, an electricity wholesaler, an electric power exchange, and other consumers.

FIG. 3 shows the configuration of the first demand forecast table 111.

The first demand forecast table 111 has a record for each set of the consumer and the unit time. Each record has "customer ID" (customer identification information), "date / time" (information representing unit time), and "demand power") information representing predicted power demand ("demand power"". ) Is stored. The "date" represents the year, month and day, and the "time" represents the hour and minute. The time from one "date / time" to the next "date / time" is a unit time. The unit time may be expressed more coarsely or finer than the year, month, day, hour, and minute. In addition, the value of "power demand" may be a value in consideration of the influence of the operation of private power generation, renewable energy equipment, or energy storage equipment. For example, the value of "power demand" may include a breakdown of power demand (eg, renewable energy ratio and / or non-carbon ratio).

FIG. 4 shows the configuration of the procurement source table 112.

The procurement source table 112 has a record for each electric power company, and each record has a sub-record for each power plan. Each record stores a "business ID" (identification information of an electric power company). Each sub-record contains a plan ID (power plan identification information), a "power unit price" (information representing a charge per unit power), and a "condition" (information representing a condition for becoming a corresponding power unit price). Store. For each power plan, the "power unit price" and the "condition" are information representing the contents of the power plan. The "condition" may include, for example, a time zone, a renewable energy ratio, a non-carbon ratio, and the like.

The value of the "renewable energy ratio" may be, for example, (renewable energy power / generated power) × 100. The “renewable power” may include power corresponding to the environmental value. The unit of electric power may be, for example, kWh. Further, the value of the "non-carbon ratio" may be (renewable energy power + nuclear power + power corresponding to environmental value) / generated power x 100. In other words, the non-carbon ratio is the ratio of electric power based on renewable energy electric power, nuclear electric power, and electric power corresponding to the environmental value to the total procured electric power.

FIG. 5 shows the configuration of the second demand forecast table 113.

The second demand forecast table 113 is a table representing the time-series predicted demand power in the target second procurement planning period for each of the plurality of consumers. As the "target second procurement planning period", 2020/7/27 to 2020/7/28 shown in FIG. 2 is taken as an example, but in the present embodiment, as described above, the first procurement planning period Is composed of a plurality of second procurement planning periods, and a second demand forecast table 113 exists for each second procurement planning period. For each consumer, the demand power represented by the second demand forecast table 113 is the demand power predicted after the demand power represented by the first demand forecast table 111 (at a timing closer to the target second procurement planning period). Demanded power).

The configuration of the second demand forecast table 113 is the same as the configuration of the first demand forecast table 111. That is, the second demand forecast table 113 also has a record for each set of the consumer and the unit time. Each record stores a "customer ID" (customer identification information), a "date / time" (information representing a unit time), and information representing a predicted power demand ("demand power").

Although not shown, each of the first demand forecast table 111 and the second demand forecast table 113 is provided if there is a customer who has at least one of a private power generation facility and an energy storage facility. , The consumer may include at least one of information on private power generation equipment and information on energy storage equipment, in addition to the time-series predicted power demand. In addition, each of the first demand forecast table 111 and the second demand forecast table 113 has requirements for electric power for each consumer (for example, at least one of the upper limit and the lower limit of the renewable energy ratio or the non-carbon ratio). May include information representing.

FIG. 6 shows a flow of processing performed by the consumer combination unit 132. FIG. 7 shows an outline of the consumer combination. Hereinafter, the customer with the customer ID “xxx” may be referred to as “customer xxx”.

The consumer combination unit 132 lists all the consumers (“customer ID”) specified from the first demand forecast table 111 (S601). This will generate a consumer list.

The consumer combination unit 132 generates a plurality of consumer combination patterns from the customer list (S602). The “customer combination pattern” is one or more consumer combinations 701 in which a plurality of consumers are classified. According to the example of FIG. 7, a certain consumer combination pattern is composed of a plurality of consumer combinations 701a, 701b and 701c. The "customer combination pattern" may be referred to as a consumer combination group or a consumer combination cluster. A "customer combination" is a set of one or more consumers. For example, when A001, B001, C001, D001, E001 and F001 exist as a plurality of consumers, an example of a consumer combination pattern composed of one or more consumer combinations 701 in which a plurality of consumers are classified. Examples include the consumer combination 701a (set of consumers A001, B001 and E001), the consumer combination 701b (customer C001), and the consumer combination 701c (set of consumers D001 and F001).

As described below, each consumer combination 701 constituting the consumer combination pattern has a first power demand profile 711L representing the accumulation of demand power corresponding to each customer constituting the consumer combination 701. Will be generated. The consumers belonging to the consumer combination may be randomly determined consumers or consumers who meet a predetermined policy.

The consumer combination unit 132 performs the following processing.
(6-0) The consumer combination unit 132 selects the consumer combination 701 that has not generated the power demand profile 711L from the plurality of consumer combination patterns (customer combination loop). Hereinafter, with reference to FIG. 7, the above-mentioned consumer combination 701a is taken as an example.
(6-1) The consumer combination unit 132 selects an unprocessed unit time from a plurality of time-series unit times in the first procurement planning period for the consumer combination 701a (unit time loop).
(6-2) The consumer combination unit 132 selects an unselected consumer for the unit time selected in (6-1) from the consumer combination 701a (customer ID loop).
(6-3) The consumer combination unit 132 specifies the demand power corresponding to the unit time selected in (6-1) for the customer selected in (6-2) from the first demand forecast table 111. (S603).
(6-4) The consumer combination unit 132 adds the demand power specified in S603 to the current total demand power for the unit time selected in (6-1) (S604). As a result, the total demand power is updated for the unit time selected in (6-1).
(6-5) The consumer combination unit 132 determines whether or not there is an unselected customer for the unit time selected in (6-1) among the customer combinations 701a. If this determination result is false, the process returns to (6-2). If this determination result is true, the process proceeds to (6-6) (end of the customer ID loop).
(6-6) The consumer combination unit 132 determines whether or not there is an unprocessed unit time among the plurality of time-series unit times in the first procurement planning period for the consumer combination 701a. If this determination result is false, the process returns to (6-0). If this determination result is true, the process proceeds to S605 (end of the unit time loop).

As described above, the consumer combination unit 132 calculates the total demand power, which is the total of the plurality of demand powers corresponding to the consumers A001, B001, and E001 constituting the consumer combination 701a, for each unit time. .. As a result, for the consumer combination 701a, a power demand profile 711La representing the time-series total demand power 710La in the first procurement planning period is obtained. The power demand profile 711La is conceptually a graph in which the first axis is the time axis and the second axis orthogonal to the first axis is the power axis. The total power demand is arranged in chronological order along the time axis. The power demand profile 711La includes information representing the breakdown of the total power demand (power demand corresponding to consumers A001, B001, and E001, respectively) for each unit time.

The consumer combination unit 132 stores the power demand profile 711La of the consumer combination 701a in the storage device 102 (S605).

The consumer combination unit 132 determines whether or not there is a consumer combination 701 that has not generated the power demand profile 711L among the plurality of consumer combination patterns. If this determination result is false, the process returns to (6-0). If this judgment result is true, the processing ends (end of the consumer combination loop).

FIG. 8 shows the evaluation index UI.

The index receiving unit 131 displays the evaluation index UI (User Interface) 800 that receives the input of the evaluation index from the operator on, for example, the retailer terminal 180. The evaluation index UI 800 is, for example, a GUI (Graphical User Interface). The evaluation index UI 800 includes radio buttons (an example of GUI components) corresponding to a plurality of selectable objective functions. That is, in the present embodiment, the objective function selected from the plurality of objective functions corresponds to the designated evaluation index.

Multiple objective functions include "procurement cost", "renewable energy ratio" and "carbonless ratio". “Procurement cost” means that no consideration other than procurement cost is required when procuring electricity. “Re-energy ratio” means that it is necessary to consider the re-energy ratio in addition to the procurement cost when procuring electricity. “Non-carbon ratio” means that it is necessary to consider the non-carbon ratio in addition to the procurement cost when procuring electricity.

For both the "renewable energy ratio" and the "non-carbon ratio", a lower limit input field (for example, a GUI component such as a text box) is provided. The lower limit unit may be a unit representing a ratio such as% or a unit representing electric power such as kWh.

When "Re-energy ratio" is selected, the procurement cost is within the range that realizes the re-energy ratio that is equal to or higher than the input lower limit (the range in which the re-energy power is equal to or higher than the input lower limit). The lowest possible procurement plan is generated. When "non-carbon ratio" is selected, a procurement plan with as low a procurement cost as possible is generated within the range of realizing a non-carbon ratio equal to or higher than the input lower limit.

When the index receiving unit 131 receives the input of the objective function via the evaluation index UI 800, the index receiving unit 131 stores the information representing the input objective function in the storage device 102.

FIG. 9 shows a flow of processing performed by the procurement source combination unit 133. FIG. 10 shows an outline of the procurement source combination.

The procurement source combination unit 133 refers to the storage device 102 (or through the index reception unit 131) and identifies the objective function input from the operator (S901).

The procurement source combination unit 133 refers to the procurement source table 112 and generates a plurality of (for example, all) business combination combinations (S902). A "business combination" is a set of one or more electric power companies.

The procurement source combination unit 133 performs the following processing.
(9-0) The procurement source combination unit 133 selects the power demand profile 711L in which a predetermined number of procurement source combinations have not been generated from the plurality of power demand profiles 711L (power demand profile loop). Hereinafter, with reference to FIG. 10, the power demand profile 711La is taken as an example.
(9-1) The procurement source combination unit 133 starts a loop for generating a procurement source combination for the power demand profile 711La.
(9-2) The procurement source combination unit 133 selects an unprocessed unit time from the time-series unit times in the first procurement planning period (unit time loop).
(9-3) The procurement source combination unit 133 sets the total power demand corresponding to the unit time selected in (9-2) in the power demand profile 711La to one of a plurality of business combination combinations. It is divided into a plurality of electric powers applicable to a plurality of electric power plans corresponding to one or more electric power companies belonging to (S903). That is, the proportional division ratio of each of the plurality of power plans is determined. The apportionment ratio may be randomly determined or may be determined according to a predetermined policy.
(9-4) The procurement source combination unit 133 determines whether or not there is an unprocessed unit time among the time-series unit times in the first procurement planning period. If this determination result is false, the process returns to (9-2). If this determination result is true, the process proceeds to S904 (end of the unit time loop). That is, at this point, for the power demand profile 711La, a procurement source combination (for example, 1001a) in which one or more proportional division ratios for each unit time are determined is generated.
(9-5) The procurement source combination unit 133 calculates the objective function specified in S901 for the procurement source combination (S904).
(9-6) The procurement source combination unit 133 determines whether or not the loop for generating the procurement source combination has been performed a predetermined number of times for the power demand profile 711La. If this determination result is false, the process returns to (9-1). If this determination result is true, the loop for generating the procurement source combination for the power demand profile 711La ends. At this point, a predetermined number of procurement source combinations have been generated for the power demand profile 711La. The loop may be performed a predetermined number of times for each of all combinations of businesses. The predetermined number of times may be any number of times of one or more.
(9-7) The procurement source combination unit 133 determines whether or not there is a power demand profile 711L in which a predetermined number of procurement source combinations have not been generated among the plurality of power demand profiles 711L. If this determination result is false, the process returns to (9-0). If this determination result is true, the process proceeds to S905.

The procurement source combination unit 133 stores the information representing each procurement source combination and the value of the objective function for each procurement source combination in the storage device 102 for each power demand profile 711L (S905). The information representing each procurement source combination includes information representing the power demand profile to which the procurement source combination is applied.

As described above, a predetermined number of procurement source combinations 1001 are generated for each power demand profile 711L. The procurement source combination 1001 follows a breakdown of power supply per unit time (for example, which power plan (for example, power unit price) of which electric power company is applied to which power). For example, taking the power demand profile 711La of the consumer combination 701a as an example, as illustrated in FIG. 10, a plurality of procurement source combinations 1001 (1001a, 1001b, 1001c, ...) Are generated for one power demand profile 711La. Will be done. According to the procurement source combination 1001a, the wholesaler 1 and the wholesaler 2 are selected as the electric power companies, and the ratio of the total power demand is set for each of the wholesalers 1 and 2 for each unit time. .. The procurement source combination 1001 may, in place of or in addition, include an apportionment ratio of total power demand (ratio to each of each electric utility) for each unit time, or in addition to a plurality of different electric power plans (eg, for example) of the same electric utility. It may include the proportional division ratios of the normal generated power plan and the renewable energy limited plan).

Further, for the procurement source combination, the proportional division ratio may be determined according to a predetermined policy as described above. For example, in the case of wholesalers 1 and 2, if "the ratio of renewable energy of wholesaler 1 is larger than that of wholesaler 2" and consumer A001 wants renewable electricity, demand. The electric power of the wholesaler 1 may be preferentially allocated to the house A001. In this way, the procurement source combination unit 133 is based on the needs of each consumer who constitutes the consumer combination corresponding to the electric power demand profile to be processed and the characteristics of each electric power company which constitutes the operator combination. Procurement source combinations can be determined to meet the needs of consumers as much as possible. The needs of the consumer may be specified from the information associated with the customer in the first demand forecast table 111 (for example, information representing the needs of the consumer), or the demand of the consumer in time series. It may be estimated by the procurement source combination unit 133 from the electric power. The characteristics of the electric power company may be specified from the information associated with the electric power company in the procurement source table 112 (for example, information representing the characteristics of the electric power company), or the "renewable energy" of the electric power company. It may be estimated by the procurement source combination unit 133 from "ratio".

When the consumer combination is completed as described above, the storage device 102 stores information representing a predetermined number of procurement source combinations and the value of the objective function for each consumer combination pattern. ing.

FIG. 11 shows a flow of processing performed by the first planning unit 134.

The first planning unit 134 reads out information representing each procurement source combination from the storage device 102 for each customer combination for each customer combination pattern (S1101).

The first planning unit 134 specifies the value of the objective function for each procurement source combination represented by the information read in S1101 (S1102).

The first planning unit 134 generates the first procurement plan based on the objective function (S1103). Specifically, the first planning unit 134 sets a combination of the consumer combination pattern having the best objective function value (performance) and the procurement source combination for each customer combination constituting the customer combination pattern. Select and determine a first procurement plan according to the combination. More specifically, for example, the first planning unit 134 may determine the procurement source combination having the best value of the objective function for each consumer combination for each consumer combination pattern. The first planning unit 134 may calculate the sum of the values of one or more objective functions corresponding to one or more consumer combinations for each consumer combination pattern. Then, the first planning unit 134 may determine the consumer combination pattern having the best value of the objective function from the plurality of consumer combination patterns. In this way, the combination of the consumer combination pattern having the best value of the objective function and the procurement source combination for each consumer combination constituting the consumer combination pattern may be determined.

The first planning unit 134 stores the first planning information, which is information representing the determined first procurement plan, in the storage device 102.

12 and 13 show an example of the first planning UI.

The first output unit 151 displays the first plan UI 1200 for displaying the first procurement plan represented by the first plan information on, for example, the retailer terminal 180. The first planning UI 1200 is, for example, a GUI. The first planning information includes, for example, the following. In the present embodiment, the first procurement plan is a provisional procurement plan, and a second procurement plan is generated later as a final procurement plan for each second procurement plan period. Each second procurement plan corresponds to a modified version of the first procurement plan for the target second procurement plan period.
(1) Combined customers (2) First procurement plan (3) Allocation by customer

"(1) Combining consumers" is as follows. That is, the first planning information includes information representing the combination of the determined customer combination pattern and the determined procurement source combination for each customer combination (the combination having the best value (performance) of the objective function). There is. The information representing the procurement source combination includes information representing the power demand profile 711L to which the procurement source combination is applied. The information representing the electric power demand profile 711L includes the ID of each consumer constituting the consumer combination 701 corresponding to the electric power demand profile 711L. Therefore, a UI (for example, a pull-down menu) that accepts the selection of an arbitrary consumer combination from one or more consumer combinations constituting the determined consumer combination pattern may be provided. A list of consumer IDs constituting the consumer combination selected via this UI is displayed as "(1) Combining consumers".

"(2) First procurement plan" is as follows. That is, for the consumer combination selected in "(1) Combining consumers", the information representing the procurement source combination having the best value (performance) of the objective function is specified from the first planning information. The information is based on a plurality of electric power plans corresponding to the procurement source combination (multiple electric power plans of one or more electric power companies constituting the operator combination) for each time-series unit time in the first procurement planning period. ) Contains information representing each proportional division ratio. Therefore, as "(2) first procurement plan", a graph having a time axis and a power axis (a graph showing the total power demand in the time series) is displayed. In the graph, for each unit time, the display mode of the object representing the total demand power includes the display mode according to the proportional division ratio for each applied power plan.

"(3) Allocation by consumer" is as follows. That is, as described above, for each unit time in the first procurement planning period, the total demand power is the accumulation of the demand power corresponding to each consumer. Therefore, as "(3) Allocation by consumer", a graph having a time axis and a power axis (a graph showing the demand power in a time series) is displayed for each consumer. Further, in the graph, the display mode of the object representing the demand power is classified into the display mode according to the proportional division ratio of the power plan for each unit time.

Of the first procurement plan represented by the above first plan information, the part corresponding to the target second procurement plan period in the first procurement plan period is the second procurement as follows. It is revised to the plan.

FIG. 14 shows an outline of the generation of the second procurement plan.

As described above, it is expected that the demand power represented by the second demand forecast table 113 is more accurate than the demand power represented by the first demand forecast table 111 for each of the plurality of consumers. For example, with respect to the consumer combination 701a, the second power demand profile 711Sa generated based on the second demand forecast table 113 is the above-mentioned first power demand generated based on the first demand forecast table 111. When compared with the profile 711La (for example, when the time-series total demand power 710Sa represented by the power demand profile 711Sa is compared with the time-series total demand power 710La represented by the power demand profile 711La), the following differences are obtained. Suppose. In the following description, "time t _x" is an example of a unit time, specifically, it does not include the time t _{x + 1} includes a next time t _{x + 1} to the time (time t _x at time t _x ) Means.
-At 11:00, the predicted power demand of consumer A001 increases, and the predicted power demand of consumer E001 decreases.
-At 12:30, the expected power demand of consumer B001 will increase.
-At 13:30, the expected power demand of consumer E001 will decrease.

As a result, the second power demand profile 711Sa has the following characteristics.
-At 11:00 time, the total power demand does not change. This is because the increase in the power demand of the consumer A001 and the decrease in the power demand of the customer E001 are the same. In other words, the decrease in the demand power of the consumer E001 is accommodated by the increase in the demand power of the consumer A001. That is, for the consumer A001, the procurement source for the increase in the demand power is the consumer E001.
-At 12:30, the total power demand is larger by the increase in the power demand of consumer B001. Therefore, the increase is the insufficient power 1401.
-At time 13:30, the total demand power is smaller by the decrease in the demand power of the consumer E001. Therefore, the reduced amount is the surplus power 1402.

That is, in the present embodiment, the generation of the second procurement plan includes the following.
(1) Calculate the shortage or surplus power for each unit time.
(2) Determine the source of insufficient power procurement based on the input objective function. For example, at the same time, if there is a consumer X in which surplus power is generated and a consumer Y in which shortage of power is generated, the source of the shortage power of customer Y is determined to be consumer X (from customer X). (By deciding to lend surplus power to consumer Y), do not generate shortage power and surplus power as much as possible.
(3) Decide to sell surplus electricity.

FIG. 15 shows a flow of processing performed by the second planning unit 142. The process of FIG. 15 is performed each time the second procurement timing is performed.

The second planning unit 142 describes the target second procurement planning period for each customer combination constituting the customer combination pattern represented by the first planning information, based on the second demand forecast table 113. 2 power demand profile 711S is generated (S1501).

The second planning unit 142 acquires the first electric power demand profile 711L from the first planning information for each consumer combination constituting the consumer combination pattern represented by the first planning information (S1502).

The second planning unit 142 compares the power demand profile 711S generated in S1501 with the power demand profile 711L acquired in S1502 for each customer combination constituting the customer combination pattern represented by the first planning information. (S1503). The results of the comparison of S1503 include, for example, for each consumer combination, for each unit time in the second procurement planning period of interest:
・ Difference in total power demand ・ Difference in power demand for each customer belonging to the customer combination

The second planning unit 142 generates a second procurement plan for the target second procurement planning period based on the objective function input via the evaluation index UI800 and the comparison result of S1503 (). S1504). S1504 includes determining the procurement source with the best value of the objective function for each consumer combination, based on the results of the comparison of S1503. In S1504, the procurement source table 112 may be referred to if necessary. In S1504, for example, at least one of the following may be performed for each unit time in the target second procurement planning period.
-The second planning unit 142 determines the source of shortage power procurement. For example, if there are both consumers who generate surplus power and consumers who generate shortage power, the second planning unit 142 decides to exchange power between the consumers. If there is insufficient power even with such accommodation, the second planning unit 142 determines the type of procurement source with the best value of the input objective function.
-The second planning unit 142 decides to sell the surplus electricity. For example, the second planning unit 142 decides to sell the surplus power when there is surplus power even if the power is interchanged between consumers.

The second planning unit 142 stores the second result information, which is the information representing the second procurement plan, in the storage device 102. The second planning information includes information representing the second power demand profile 711S for each consumer combination and processing result information of S1504. The processing result information is, for example, information representing the unit time in the target second procurement planning period and the transaction content (for example, power interchange between consumers, sale of surplus power, or procurement source of insufficient power). including. In addition, the second plan information may include at least a part of the first plan information, for example, a consumer combination pattern, a first power demand profile 711L, and information representing the determined procurement source combination.

16 and 17 show an example of the second planning UI.

The second output unit 152 displays the second plan UI 1600 for displaying the second procurement plan represented by the second plan information on, for example, the retailer terminal 180. The second planning UI 1600 is, for example, a GUI. The second planning information includes, for example, the following.
(1) Combined customers (2) Second procurement plan (3) Allocation by customer

“(1) Combining consumers” is the same as the display on the first planning UI 1200. Hereinafter, the differences from the display on the first planning UI 1200 will be mainly described.

"(2) Second procurement plan" is as follows. That is, as described above, the second planning information includes the information representing the second power demand profile 711S and the processing result information described above. Therefore, as "(2) second procurement plan", a graph having a time axis and a power axis (a graph showing the total power demand in the time series) is displayed. In the graph, the display mode of the object representing the total demand power is classified into the display mode according to the proportional division ratio of the power plan for each unit time in the target second procurement planning period. Further, if there is a unit time in which the surplus power is sold or the shortage power is procured, the display mode of the object corresponding to the unit time is the display mode in the range corresponding to the surplus power to be sold (display corresponding to the surplus power). Aspects) or a display mode in a range corresponding to the shortage of power to be procured (a display mode corresponding to the procurement of the shortage of power). According to the examples of FIGS. 16 and 17, the source of the shortage of electricity is the electricity trading market. There may be two or more types of procurement sources for insufficient power, and in that case, a display mode corresponding to the procurement source may be adopted for each of the two or more types of procurement sources.

"(3) Allocation by consumer" is as follows. That is, as "(3) Allocation by consumer", a graph having a time axis and a power axis (a graph showing the demand power in a time series) is displayed for each consumer. Further, for a consumer having a shortage of power, the display mode of the object (object representing the demand power) corresponding to the unit time with the shortage power includes the display mode indicating the procurement of the shortage power. Since the graph for each consumer follows the power demand profile 711S, the sale of surplus power may not be displayed as illustrated in FIG.

The above description can be summarized as follows, for example.

The electric power procurement support system 100 is a system that supports the procurement of electric power for a plurality of consumers from a plurality of procurement sources. The index receiving unit 131 receives an evaluation index (for example, an objective function) including the power procurement cost, the renewable energy ratio, or the non-carbon ratio. Based on the evaluation index received by the Procurement Decision Department 190, one or more consumer combinations in which a plurality of consumers are classified and the power procurement amount (procurement) of one or more procurement sources for each customer combination. Power to be procured) and. As a result, the electricity charges paid by consumers can be reduced.

A procurement output unit 195 is provided that displays a procurement plan that represents one or more determined consumer combinations and each power procurement amount of one or more procurement sources for each consumer combination. This allows the operator to keep track of the determined procurement plan.

At the first procurement timing, the procurement decision unit 190 receives the first demand forecast table 111 representing the time-series predicted power demand in the future first procurement planning period for each of the plurality of consumers. Based on the evaluation index, one or more consumer combinations and each power procurement amount of one or more procurement sources for each customer combination are determined for the first procurement planning period. That is, the procurement decision unit 190 generates the first procurement plan at the first procurement timing. After that, the procurement decision unit 190 predicts the time series in the first procurement plan and the target second procurement plan period corresponding to the second procurement timing at each of the plurality of second procurement timings. Based on the second demand forecast table 113 representing the power demand and the evaluation index received, for each of the one or more consumer combinations, one for each consumer combination, with respect to the target second procurement planning period. Determine the amount of electricity procured for each of the above procurement sources. That is, the procurement decision unit 190 generates a second procurement plan at each second procurement timing. As one of the methods of procuring electric power, the electric power in the first procurement planning period is procured in advance based on the expected electric power demand of each consumer, and then the second procurement planning period is configured. For each procurement planning period, there is a method of adjusting the amount of power procurement based on the latest power demand predicted for each customer for the second procurement planning period. It is possible to support the procurement of electricity according to such a method.

The procurement decision unit 190 determines a plurality of customer combination patterns based on the first demand forecast table 111, and a plurality of ways based on the procurement source table 112, in order to generate the first procurement plan. For each of the consumer combination patterns, determine multiple procurement source combinations for each consumer combination, and based on the received power index, one of the multiple consumer combination patterns, the consumer combination pattern. And the procurement source combination for each of the one or more consumer combinations constituting the one or more consumer combination patterns. The procurement decision unit 190 represents the first procurement plan based on the second demand forecast table 113 corresponding to the target second procurement planning period and the received evaluation index for each second procurement timing. For each of the one or more consumer combinations, the portion of the determined procurement source combination corresponding to the target second procurement planning period is modified as necessary. In this way, a plurality of customer combination patterns are determined, and for each customer combination pattern, a plurality of procurement source combinations are calculated for each customer combination, and then the customer combination pattern and the customer are calculated based on the evaluation index. Since the procurement source combination is determined for each combination, it is expected that the design of the power procurement support system 100 is easier than determining the consumer combination pattern and the procurement source combination in consideration of the evaluation index. ..

In addition, in each combination of consumers, the surplus power of the consumer whose demand power is lower than the forecast and the shortage of the consumer whose demand power is higher than the forecast are insufficient for each unit time constituting the target second procurement planning period. It may include flexibility in power. As a result, it is possible to reduce the cost of procuring electricity from other consumers who do not belong to the consumer combination, the electric power trading market, or an electric power company, or selling surplus electricity.

Although one embodiment of the present invention has been described above, it goes without saying that the present invention is not limited to this embodiment and can be variously modified without departing from the gist thereof.
For example, the procurement source combination may be a pattern that follows one of the following (X) and (Y), or a pattern that follows the combination of the following (X) and (Y).
(X) For each of one or more unit times in the first procurement planning period
· One or more sources of procurement, including one or more utilities,
For each of the one or more procurement sources, the ratio of the power supplied to the power demand for the unit time of one or more power plans provided by the procurement source.
(Y) For each of the one or more unit time groups in the first procurement planning period, a power plan selected from a plurality of power plans of a plurality of procurement sources (each unit time group is one or more consecutive units. It is a combination of time).

An example of the procurement source combination according to the above (X) is the procurement source combination 1001a illustrated in FIG. That is, they are separated by two or more power plans (for example, two or more different procurement sources) with different total power demands.

On the other hand, an example of the procurement source combination according to the above (Y) is the procurement source combination 1001x illustrated in FIG. That is, they are separated by two or more power plans with different times.

According to the procurement source combination 1001x, for the unit time group 1800a (unit time group consisting of three consecutive unit times of 10: 00-10: 30, 10: 30-11: 00 and 11: 00-11: 30) , Procurement of total total power demand follows a certain power plan of wholesaler 1 (typically, the power plan with the lowest procurement cost in the unit time group).

According to the procurement source combination 1001x, the unit time group 1800b (11: 30-12: 00, 12: 00-12: 30 and 12: 30-13: 00) is a unit time group consisting of three consecutive unit times. ), The procurement of total total power demand follows a certain power plan of wholesaler 2. In the illustrated example, the power procurement for the unit time group 1800b is a constant power equal to or higher than the maximum total demand power in the unit time group 1800b. One of the reasons is that the procurement cost is the same regardless of whether the total demand power is procured or a certain amount of power equal to or higher than the maximum total demand power is procured. In this case, surplus power will be generated in a certain unit time in the unit time group 1800b. However, the total power demand for a certain unit time predicted from the second demand forecast table 113 is larger than the total power demand predicted from the first demand forecast table 111, that is, the power shortage is resulting. Can occur. Therefore, it can be expected that the shortage of power will be supplemented by surplus power.

Further, according to the procurement source combination 1001x, for each unit time constituting the unit time group 1800c (a unit time group consisting of two consecutive unit times of 13: 00-13: 30 and 13: 30-14: 00). , A certain amount of electricity is procured according to a certain electricity plan of the wholesaler 3. The shortage of electricity in each unit time is procured from the market. That is, for the unit time group 1800c, in addition to the pattern according to the above (Y), the pattern according to the above (X) is also adopted.

As described above, the procurement source combination unit 133 can generate the procurement source combination 1001 according to one of the above (X) and (Y) and the procurement source combination 1001 according to the combination of the above (X) and (Y). .. For example, the procurement source combination unit 133 complies with the above (Y) by increasing or decreasing the number of unit hours constituting the unit time group or changing the power plan (and procurement source) applied to the unit time group. You can increase the number of procurement source combinations that include patterns.

100: Electricity Procurement Support System, 111: First Demand Forecast Table, 112: Procurement Source Table, 113: Second Demand Forecast Table, 121: Procurement Planning Department, 131: Index Reception Department, 132: Consumer Combination Department, 133: Procurement source combination unit, 134: First planning unit, 142: Second planning unit, 151: First output unit, 152: Second output unit, 195: Procurement output unit

Claims (11)

It is a power procurement support method that supports the procurement of power for multiple consumers from multiple procurement sources.
(A) Accepting evaluation indicators including electricity procurement cost, renewable energy ratio, or carbonless ratio,
(B) Based on the received evaluation index, one or more consumer combinations in which the plurality of consumers are classified and the electric power procurement amount of one or more procurement sources for each customer combination are determined. To do
Power procurement support method. (C) Display a procurement plan representing one or more determined consumer combinations and each power procurement amount of one or more procurement sources for each consumer combination.
The power procurement support method according to claim 1. In (B)
(B1) At the first procurement timing, the first demand forecast information representing the time-series predicted demand power in the future first procurement planning period for each of the plurality of consumers, and the received evaluation index. Based on the above, with respect to the first procurement planning period, the one or more customer combinations and the power procurement amount of each of the one or more procurement sources for each of the customer combinations are determined.
(B2) At each of the plurality of second procurement timings, the determination of (b1) and the plurality of second procurement planning periods constituting the first procurement planning period for each of the plurality of consumers are concerned. Based on the second demand forecast information representing the time-series predicted demand power in the second procurement planning period of the target corresponding to the second procurement timing, and the received evaluation index, the second of the target. For each of the above-mentioned one or more consumer combinations, the amount of electricity procured for each of the one or more procurement sources is determined for each of the above-mentioned consumer combinations.
The power procurement support method according to claim 1. In (b1)
(B11) Based on the first demand forecast information, a plurality of consumer combination patterns, each of which is one or a plurality of consumer combinations, are determined.
(B12) For each of the plurality of consumer combination patterns, one or more for each consumer combination, based on the procurement source information indicating the relationship between the electric power unit price and the conditions for each of the plurality of electric power companies. Determined multiple sources of procurement based on the electric power company of
(B13) Based on the received power index, one consumer combination pattern among the plurality of consumer combination patterns and one or more consumer combinations constituting the one or more consumer combination patterns. Determine with the procurement source combination for each of
In (b2), for each second procurement timing, the second demand forecast information representing the time-series predicted demand power in the target second procurement planning period corresponding to the second procurement timing, and the above-mentioned Based on the received evaluation index, for each of the one or more consumer combinations, the portion of the determined procurement source combination corresponding to the second procurement planning period of the target is modified as necessary. To do
The power procurement support method according to claim 3. The correction of (b2) is to reduce the surplus power of consumers whose demand power is lower than expected and the shortage of consumers whose demand power is higher than forecast for each unit time constituting the second procurement planning period of the target. Including accommodating to the power of
The power procurement support method according to claim 4. Each of the plurality of procurement source combinations is a pattern that follows one of the following (X) and (Y), or a pattern that follows the combination of the following (X) and (Y).
(X) With respect to each of one or more unit times in the first procurement planning period.
With one or more sources of procurement, including one or more utilities,
For each of the one or more procurement sources, the ratio of the power supplied to the power demand for the unit time of one or more power plans provided by the procurement source,
(Y) A power plan selected from a plurality of power plans of a plurality of procurement sources for each of the one or more unit time groups in the first procurement planning period.
Each unit time group is a combination of one or more consecutive unit times,
The power procurement support method according to claim 4. The renewable energy ratio is the ratio of the generated power according to the renewable energy.
The non-carbon ratio is the ratio of electric power based on renewable energy electric power, nuclear electric power, and electric power corresponding to environmental value to the total procured electric power.
The power procurement support method according to claim 1. For each of the plurality of consumers, the plurality of sources in the plurality of procurement sources includes an electric wholesaler, an electric power exchange, and other consumers.
The power procurement support method according to claim 1. Each of the first demand forecast information and the second demand forecast information is time-series for the customer if there is a customer who has at least one of the private power generation facility and the energy storage facility. In addition to the projected power demand, it contains at least one of information about private power generation equipment and information about energy storage equipment.
The power procurement support method according to claim 3. It is a power procurement support system that supports the procurement of power for multiple consumers from multiple procurement sources.
An index reception department that accepts evaluation indexes including power procurement costs, renewable energy ratios, or carbonless copy paper ratios,
A procurement decision that determines one or more consumer combinations in which the plurality of consumers are classified based on the received evaluation index, and each power procurement amount of one or more procurement sources for each customer combination. A power procurement support system with a department. (A) Accepting evaluation indicators including electricity procurement cost, renewable energy ratio, or carbonless ratio,
(B) One or more consumer combinations in which a plurality of consumers are classified based on the received evaluation index, and one or more procurement sources out of a plurality of procurement sources for each customer combination. Determine the amount of electricity procured,
A computer program that lets a computer do things.

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