JP5723144B2 - Energy management method and energy management system - Google Patents

Description

  The present invention relates to home energy management (HEMS system), and more particularly to an energy management technique for efficiently using energy in a home equipped with a power generation device.

  As part of the contribution to the environment that achieves low power consumption, it is conceivable to improve the operation method of household electrical appliances (so-called household electrical appliances). Such an improvement is realized by HEMS (Home Energy Management System), and a plurality of algorithms have been proposed.

  For example, Patent Document 1 proposes to use a device that operates at a time when the electricity cost is low by searching for a device that operates at a time when the power cost is high.

JP2009-261159

  However, the technique of Patent Document 1 does not support a plurality of operation settings (a plurality of power consumptions) of the device. For example, in the case of an air conditioner, changing the temperature setting changes the power consumption and the electricity bill. If the device supports multiple operation settings, it can also be used for devices that cannot change the operating time. However, conventionally, there is no technology for effectively managing energy by assuming a plurality of operation settings for a plurality of devices and linking these devices.

  Patent Document 1 does not correspond to a case where there is a power generation facility (for example, a solar power generator) in the home. When there is a solar power generator in the home, not only can the power generated by the solar power generator be used in the home, but also the power can be sold (sold). The electricity bill for purchasing electricity is different from the unit price for selling electricity (unit price for electricity sales). Therefore, depending on how the device is operated, income (power sales> electricity) or expenditure (power sales <electricity) is also considered. Conventionally, there is no energy management technique that assumes the case where such power generation facilities exist.

  Moreover, patent document 1 does not respond | correspond to a storage battery. The storage battery can store energy. Therefore, for example, the storage battery can be charged at a time when the electricity bill is cheap, and the electric product can be supplied from the storage battery at a time when the electricity bill is high. As a result, it is possible to operate the electric product substantially at a low cost. Conventionally, there is no efficient energy management technique in a system including such a storage battery. Therefore, it is desirable to be able to set the operation schedule of the electrical product so that the storage battery can be used effectively.

  Accordingly, an object of the present invention is to provide an energy management method and system for effectively managing energy by assuming a plurality of operation settings for a plurality of devices and linking these devices.

  Another object of the present invention is to provide an energy management method and system for effectively managing energy by assuming a plurality of operation settings for a plurality of devices including a power generation facility, respectively. .

  Still another object of the present invention is to provide an energy management method and system for effectively managing energy by assuming a plurality of operation settings for a plurality of devices including a storage battery, respectively. .

  In the energy management method according to the first aspect of the present application, a predetermined period is divided into a plurality of time zones, and the power to be used in each time zone is used in order to be used, and time zone information that identifies the time zone. , Power generation information storage means for storing a power consumption information list for each time zone together with an evaluation value of each power, and time and power consumption required for each of one or more electric products that operate using power An energy management method in an energy management system including product information storage means for storing product information including Each of the one or more electrical products can operate in one or more operating modes. The product information regarding each of the one or more electrical products includes an operation list that lists information regarding one or more operation modes as elements. Each of the elements of the operation list includes priority of the operation mode corresponding to the element, and operation step time information that defines, for each time zone, a step in which the product operates in the operation mode corresponding to the element. The operation step time information includes operation time information for specifying an operation time corresponding to the operation step time information, and an evaluation value of power consumed by the product by the operation in the operation time information of the operation step time information. In this energy management method, the step of setting the target priority to the highest priority, and for each electrical product, a corresponding operation list element equal to or higher than the priority corresponding to the target priority is set for each electrical product. A first calculation step of calculating power consumption using information of an element having the lowest priority among the elements of the action list, and calculating a total for each time zone; Based on the total power consumption calculated for each time zone and the time zone information, evaluation value, and available capacity in the power usage information list for each time zone in the power generation information, the total evaluation value for a given period If the target is achieved in the step of comparing the second calculation step of calculating, the step of comparing the sum of the evaluation values calculated in the second calculation step with the given target, In the step of determining the operation schedule of one or more appliances in accordance with the elements of the operation list used to calculate the total evaluation value of the product and the step of comparing, the target priority is set if the target is not achieved. Setting a lower priority value, and executing the processing after the first calculation step again.

According to this method, a plurality of operation settings can be defined as an element of an operation list for one product. For each operation setting, power consumption and priority for each time zone can be set. Therefore, a plurality of options related to the operation of the product, can be selected operation setting was but was in goal Tsu the priority.

  When there are a plurality of settings for one product, high priority means high power consumption. As described above, the total use power consumption and the use total evaluation value are calculated by selecting from operation settings with high priority. The evaluation value may be, for example, the unit price of electricity bill or the unit price of CO2 emission, but it is not necessary to limit to these two. When the total usage evaluation value reaches the target value, the operation setting that matches the target is output. In addition, when the priority is user's preference, an operation setting considering the target and the user's preference is the result.

  Preferably, each element of the operation list further includes an operation type of an operation mode corresponding to the element. The type of operation in the operation mode includes a fixed time in which the operation time is fixed, and a shiftable time in which the operation time can be shifted by a predetermined time width. Each of the elements of the operation list further includes operation time information in which operation of the corresponding electrical product is allowed when the operation type of the operation mode is shiftable time. In the first calculation step, for each electrical product, for each electrical product whose type of operation in the corresponding operation list is fixed time, among the elements of the operation list, the priority equal to or higher than the target priority A fixed time calculation step of calculating power consumption using information of an element having the lowest priority among the elements of the action list and calculating the total for each time period, and a time period For each electrical product, the operation type of the corresponding operation list is a shiftable time, and among the elements of the operation list, the priority is equal to or higher than the priority that matches the target priority, Using the information of the element with the lowest priority among the elements of the operation list, the operation time that is the lowest power consumption within the time specified by the operable time information is determined, and the power consumption for each time zone of A shiftable time calculation step for calculating the total, and a total step for summing the total power consumption calculated in the fixed time calculation step and the total power consumption calculated in the shiftable time calculation step for each time zone including.

  For example, when the evaluation value is an electricity bill, it is possible to output an operation setting combining a priority and an electricity bill.

  More preferably, the hourly power usage list further includes available capacity for each power. In the energy management method, in the first calculation step, the power consumption of each electrical product is calculated by limiting the usage amount of each power within the range of available capacity for each power in the power usage list for each time zone, Find the sum.

  It is possible to correspond to a plurality of evaluation values depending on the power range in one time zone. This is the case, for example, when a certain amount of electric power is used or when the electricity bill (evaluation value) is set higher. An example of this is the Demand Response used in the United States.

  More preferably, the hourly power usage list further includes a generator type for each power. The types represented by the generator type can be classified into power purchase and power sale. The energy management method is characterized in that, in the second calculation step, the evaluation value is treated as an expense or profit depending on whether the generator type indicates purchase of power or sales of power.

  With this configuration, it can also be applied to a home generator. The cost may be electricity. The profit may be a power sale in the case of photovoltaic power generation. If you can sell the electricity generated by gas, the profit can be the electricity sales-the unit price of the gas used. The evaluation value may be a unit price of CO2 emission. When the evaluation value is the price of electricity, for example, it may represent an electricity bill when positive, and may represent a profit when negative.

  The type of generator represented by the generator type may further include a storage battery. The operation period of the storage battery is divided into a power storage period and a power supply period. The energy management method is characterized in that, in the first calculation step, the charge amount of the storage battery is preferentially assigned to the power supply to the power consumption within the range of the total power consumption during the power supply period.

  With this configuration, power charged in the storage battery can be supplied according to the evaluation value and the power consumption. When the evaluation value is an electricity bill, a period during which the electricity bill is low can be set as a power storage period, and a period during which the electricity bill is high can be set as a power feeding period. Similarly, when the evaluation value is the emission amount of CO2, a period in which the emission amount is small can be set as a power storage period, and a period in which the emission amount is high can be set as a power feeding period.

  More preferably, in the second calculation step, the energy management method allocates the charge amount of the storage battery to the power supply to the power consumption so that the profit becomes the maximum within the range of the total power consumption in the power supply period. And

  For example, when the power of the solar panel is sold, the power charged in the storage battery can be supplied according to the profit of the power sale. For example, when the solar panel is not generating power, power can be prevented from being supplied from the storage battery, and when the solar panel is generating power, the solar panel can be used by using power from the storage battery. Can sell more of the power generated. This is particularly effective when the unit price for selling power generated in the system, such as a solar panel, is higher than the unit price for purchasing power.

  An energy management system according to another aspect of the present invention divides a predetermined period into a plurality of time zones, and uses power that can be used in each time zone, and the time zone information that identifies the time zone. , Power generation information storage means for storing a power consumption information list for each time zone together with an evaluation value of each power, and time and power consumption required for each of one or more electric products that operate using power An energy management system including product information storage means for storing product information including Each of the one or more electrical products can operate in one or more operating modes. The product information regarding each of the one or more electrical products includes an operation list that lists information regarding one or more operation modes as elements. Each of the elements of the operation list includes priority of the operation mode corresponding to the element, and operation step time information that defines, for each time zone, a step in which the product operates in the operation mode corresponding to the element. The operation step time information includes operation time information for specifying an operation time corresponding to the operation step time information, and an evaluation value of power consumed by the product by the operation in the operation time information of the operation step time information. The energy management system further matches the target priority among the elements of the corresponding operation list for each electrical product and target priority setting means for setting the target priority to the highest priority, and for each electrical product. First calculating means for calculating power consumption using information of an element having a priority that is equal to or higher than the priority and having the lowest priority among the elements of the operation list, and calculating a total for each time period; Based on the total power consumption calculated for each time zone by the first calculation means and the time zone information, evaluation value, and available capacity of the power usage information by time zone in the power generation information, in a predetermined period As a result of comparison between the second calculation means for calculating the total of the evaluation values, the comparison means for comparing the total of the evaluation values calculated by the second calculation means with the given target, and the comparison means, the target has been achieved. Then, at that time In the comparison by the operation schedule determination means for determining the operation schedule of one or a plurality of electric appliances according to the elements of the operation list used for calculating the total value and the comparison by the comparison means, if the target is not achieved, the target priority Is set to a lower priority value, and repeat control means for executing the processing after the first calculation step again.

  As described above, according to the present invention, a plurality of operation settings can be defined as an element of an operation list for one product. For each operation setting, power consumption and priority for each time zone can be set. Therefore, it is possible to select an operation setting that meets the target from a plurality of options related to the operation of the product according to the priority. For example, when the evaluation value is an electricity bill, an operation setting combining a priority and an electricity bill can be output, and moreover, a plurality of evaluation values can be handled by a power range in one time zone. As a result, it is possible to provide an energy management method and system for effectively managing energy by assuming a plurality of operation settings for a plurality of devices and linking these devices.

  It can also be used for home generators. When the system includes a storage battery, the power charged in the storage battery can be supplied according to the evaluation value of the power and the amount of power consumption. If you are selling solar panel power, you can supply the power charged to the storage battery according to the profit of the power sale, effectively using the power of the solar panel to reduce the overall system power cost and profit Can be increased. As a result, according to the present invention, it is possible to provide an energy management method and system for effectively managing energy by assuming a plurality of operation settings for a plurality of devices including a power generation facility and linking those devices. it can.

  In a system including a storage battery, power charged in the storage battery can be supplied according to the evaluation value and the amount of power consumption by the above-described configuration. When the evaluation value is an electricity bill, a period during which the electricity bill is low can be set as a power storage period, and a period during which the electricity bill is high can be set as a power feeding period. Similarly, when the evaluation value is the emission amount of CO2, a period in which the emission amount is small can be set as a power storage period, and a period in which the emission amount is high can be set as a power feeding period. As a result, it is possible to provide an energy management method and system for effectively managing energy by assuming a plurality of operation settings for a plurality of devices including a storage battery and linking these devices.

It is a figure which shows typically the energy management environment which concerns on one embodiment of this invention. It is a block diagram of HEMS shown in FIG. FIG. 3 is a block diagram of a scheduler unit shown in FIG. 2. It is a figure which shows a time-axis list | wrist typically. It is a figure which shows a power axis list typically. It is the figure which expand | deployed the two-dimensional graph of the power consumption setting by time by the combination of a time-axis list | wrist and a power-axis list | wrist. It is a figure which shows the structure of the list | wrist of merchandise organization information. It is a figure which shows the structure of a smart meter list. It is a figure which shows the structure of a distribution board switch list. It is a figure which shows the structure of a goods list. It is a figure which shows the structure of an operation | movement list. It is a figure which shows the structure of an operation | movement step list | wrist. It is a figure which shows the structure of an operation | movement possible time list | wrist. It is the figure which expanded the list | wrist of merchandise organization information on a time-axis. It is a figure which shows the detail of the list by fixed time among merchandise organization information. It is a figure which shows the detail of the list | wrist by shiftable time among merchandise organization information. It is a figure which arranges product organization information in order of priority, and shows it in a tabular form. It is a figure which shows the structure of a power consumption list | wrist. It is a figure which shows the example of progress of the power consumption represented by a power consumption list | wrist. It is a flowchart which shows the control structure of the computer program which implement | achieves a schedule algorithm part. It is a figure which shows the result of the operation | movement list element selected as a schedule as a result of repeating calculation by changing a priority in order. It is a figure which shows typically the example of the schedule obtained by the process implement | achieved by the computer program shown in FIG. It is a flowchart which shows the detail of the control structure of the computer program shown in FIG. It is a figure which shows the change of the power consumption relevant to two operation | movement list elements. FIG. 23 shows a more detailed flowchart of the time shift calculation process which is a part of the flowchart showing the control structure. It is a flowchart which shows the detail of an electric power calculation process. It is a figure which shows the example of the effect of a storage battery. It is a figure which shows the example of the effect of a storage battery. It is a figure which shows the example of the effect of a storage battery. It is a figure which shows the example of the effect of a storage battery. It is a figure for demonstrating all the search algorithms which determine allocation of a storage battery. It is a flowchart which shows the control structure of the program which implement | achieves the allocation method of the storage battery by all the search algorithms. It is a flowchart which shows the control structure of the program which implement | achieves the storage battery allocation process shown in FIG. It is the figure which expand | deployed the two-dimensional graph of the power consumption setting by time when a storage battery is removed from the example shown in FIG. It is a figure which shows the example of the dependence relationship between electric products.

  In the following description and drawings, the same parts are denoted by the same reference numerals. Therefore, detailed description thereof will not be repeated.

  FIG. 1 shows an example of a home energy management environment 100 using a HEMS 110 that performs home energy management. The energy management environment 100 is connected to the HEMS 110, the power controller 116 connected to the HEMS 110, which relays information on the devices that generate power in the home to the HEMS 110, the HEMS 110, and an external power company 102. In addition to the function (measurement of power used in the home, etc.), it includes a smart meter 118 that relays, for example, electricity bill related information from the power company 102 to the HEMS 110, and a product 122 composed of one or more home appliances. The HEMS 110 is connected to an Internet gateway (GW) 120. In FIG. 1, these connections are information system signal line connections, and power system signal lines are not shown. Further, the HEMS 110 of the present embodiment is an example and does not need to have the configuration of FIG.

  In the case of FIG. 1, the energy management environment 100 includes a solar panel 112 and a storage battery 114 as power generation devices, both of which are connected to a power controller (hereinafter referred to as “power converter”) 116 and related to power. Information is given to the power conditioner 116. Information on the solar panel 112 and the storage battery 114 may be directly input to the HEMS 110 without passing through the power conditioner 116.

  The information relayed by the smart meter 118 from the electric power company 102 to the HEMS 110 may be, for example, a DR (Demand Response) signal used in the United States to notify that the electricity bill is temporarily increased. What is important for the HEMS 110 is information from the electric power company, and it is not always necessary to obtain this information via the smart meter 118. This may be obtained from the Internet, for example.

  All of the products 122 are connected to the HEMS 110 directly or indirectly (directly in FIG. 1). Examples of the product 122 include windows, shutters, lighting, air conditioning (air conditioners, electric fans, etc.), cookers (rice cookers, microwave ovens, etc.), daily lives (vacuum cleaners, washing machines, etc.), AV equipment (TVs, audio equipment, recorders) Etc.), personal computers (hereinafter referred to as “personal computers”), information terminals (mobile phones, PDAs (Personal Digital Assistants, etc.)) and the like. The HEMS 110 can also acquire information on sensors (temperature, human feeling, illuminance, etc.). In this embodiment, each product 122 is connected to the HEMS 110 and the Internet GW 120 via a network using the Internet communication protocol, but information may be exchanged with the HEMS 110 using another connection method.

  The Internet GW 120 is for connecting a network in the energy management environment 100 to the external Internet 106. A product 108 including an information terminal or a personal computer is connected to the end of the Internet 106. These products 108 can use various services 104 through the Internet.

  Referring to FIG. 2, HEMS 110 receives information from power conditioner 116, smart meter 118, Internet GW 120, and product 122, database 150 that stores information from database 150, and operation schedule of product 122. And a scheduler unit 152 for determining Information stored in the database 150 includes, for example, power company information 160, home power generation information 162, climate 164, product 166, user priority 168, and target 170. Of course, you may make it use only one part instead of all of these.

The electric power company information 160 is information obtained via the smart meter 118, for example, and is information such as electricity bills and CO ₂ emissions. The household power generation information 162 is power generation information (power generation amount, CO2 emission amount, etc.) of a power generation device in the home, for example, information obtained via the power conditioner 116. In the present embodiment, solar power generation and storage batteries are used as power generation equipment, but wind power generation, geothermal power generation, power generation equipment using gas, or the like may be used. The climate 164 is information relating to sunshine hours and the like obtained from the service 104 via the Internet 106, for example. The product 166 includes power consumption and setting method for each product. The user priority 168 is information on what priority the user wants to operate each product. The user priority 168 is assumed to be input by the user in advance. Details thereof will be described later. The target 170 is, for example, a target electricity cost or CO ₂ emission amount within the schedule period. In this embodiment, the user inputs information on the user priority 168 and the target 170 to the database 150 using the information terminal of the product 108 or a personal computer. Of course, these may be prepared by other methods.

  Note that the source of information (power company information 160, home power generation information 162, climate 164, product 166, user priority 168, target 170, etc.) input to the scheduler unit 152 is not limited to the database 150. For example, it may be provided to the scheduler unit 152 from the power conditioner 116, the smart meter 118, the Internet GW 120, the product 122, or the like.

  The scheduler unit 152 uses the above input to define a schedule 180 for which products are operated at what time. The schedule 180 can be used, for example, to suggest which product 122 should be operated when and how to the user (advice unit 154), or to automatically control the product 122 by the automatic control unit 156. . In the case of the advice unit 154, the information may be displayed on a personal computer or an information terminal. In the case of the automatic control unit 156, the product 122 is not necessarily operated according to the schedule, and therefore the product can be automatically controlled using the operation information of the product 122.

Information such as the power consumed in the energy management environment 100 during the schedule period, the electricity bill, and the CO ₂ emission amount can also be obtained from the result of the schedule 180.

  The scheduler unit 152 can also be used in devices other than the HEMS 110. For example, by embedding a program part that realizes the same function as the scheduler unit 152 in a program of a personal computer and changing the input information, estimated information such as power consumption in the schedule period can be obtained and used as a reference. The scheduler unit 152 may operate in the server outside the home instead of the HEMS 110. In this case, the schedule 180 output from the scheduler unit 152 may be sent from the off-premises server to the HEMS 110.

  The automatic control unit 156 may perform automatic control of the power conditioner 116, for example. In this case, it is necessary to transmit an observation signal from the power control unit 116 to the automatic control unit 156 and to transmit a control signal from the automatic control unit 156 to the power control unit 116 for automatic control.

  Referring to FIG. 3, scheduler unit 152 includes a power generation information organizing unit 200, a product information organizing unit 202, and a schedule algorithm unit 204.

  The power generation information organizing unit 200 receives and organizes the power company information 160, the home power generation information 162, and the climate 164 information from the database 150, and outputs the organized power generation organizing information 210 to the schedule algorithm unit 204. Details of the power generation arrangement information 210 will be described later. For example, the climate 164 has sunshine information, and the amount of power generated by the solar panel can be predicted by sunshine.

  The product information organizing unit 202 organizes information such as the product 166 and the user priority 168 received from the database 150, and outputs the organized product organization information 212 to the schedule algorithm unit 204. Details of the product organization information 212 will be described later.

  Then, the schedule algorithm unit 204 schedules the power generation organization information 210, the product organization information 212, and the target 170, and outputs the schedule 180.

  The power generation arrangement information 210 is a two-dimensional list of a time axis and a power axis that indicates temporal changes in power and power generation available in each time zone. The elements of the list include a time axis list (timeList) 220 as shown in FIG. The time axis list 220 includes a plurality of time axis list elements 230 that list information related to power consumption per unit time in time order.

  Each time axis list element 230 is a power axis list (generatorPowerList) that is a list of information on the start time (fromTime) indicating the start time of the time zone to which the time axis element is applied and the power consumption and power generation in that time zone. 232. As described above, each element of the time axis list has the power axis list, so that temporal changes in the power consumption and the power generation amount are expressed by a two-dimensional list of the time axis and the power axis.

  Referring to FIG. 5, power axis list 232 includes a plurality of power axis list elements 240 arranged in the order of power generation used, each holding information regarding the amount of power of the generator in the relevant time zone. Each of the power axis list elements 240 includes a generator type generatorType indicating the type of power generation system, a power range powerRange that can be used by the power axis list element 240, and a waste flag indicating whether or not there is a possibility that the power generation amount is wasted. It includes wasteFlag, and the evaluation unit price valueKWH, which is an electricity bill (electric power company) per generated power KWh or a profit (solar power generation) when buying and selling power.

  Examples of generator types include power companies (UT), solar power generation (PV), storage batteries (BT), wind power, and gas power generation.

  In the case of a storage battery, the available power width powerRange is the maximum available power.

Evaluation unit price valueKWH is a numerical value in KWh units. For example, when evaluating by price, the evaluation unit price valueKWH represents an electricity cost per KWh (electric power company) or a profit from selling electric power (solar power generation). Whether the evaluation unit price valueKWH is an electricity bill or profit may be determined by the generator type generatorType or by a negative sign of the evaluation unit price. In the case of solar power generation, the profit is the selling price. For example, when the value per assessed in emissions of CO _2, evaluation bid CO ₂ emissions per KWh (e.g. grams) may be. For example, when electric power generated by gas can be sold, the profit may be the difference between the selling price and the price of the gas used.

  The waste flag wasteFlag is a flag when there is a possibility that power generation is wasted. For example, when solar power generation is included in the system, power generated by solar power cannot be sold if there is little power used in the same region. In this case, if the generated power is not used at home, the power cannot be sold and the power is generated wastefully. When such a situation is predicted, the waste flag wasteFlag is set to 1.

  An example in which a part of the two-dimensional list is expanded on the time axis and the power axis is shown in FIG. Although this list is a list from 3 o'clock to 15 o'clock for the sake of explanation, it may actually be in the range of one day, for example. In FIG. 6, “UT” represents the purchase of power from an electric power company, “PV” represents the power of solar power generation, and “BT” represents the power from the storage battery. The numbers shown to the right of these symbols indicate the unit price of power. Note that the height of the storage battery (BT) in FIG. 6 is the maximum usage amount of the storage battery, not the amount actually used. The actual amount to be used is determined by the schedule algorithm unit 204 (described later).

  In the example of FIG. 6, the start times fromTime of the first time axis list elements 230A, 230B, 230C, 230D, and 230E are 3 o'clock, 6 o'clock, 7 o'clock, 9 o'clock, and 12 o'clock, respectively. Only the start time fromTime is stored in the time axis list element. The end time of the last time axis list element 230E is unknown. As a method for solving this, a time axis list element at a start time = 15 o'clock can be included next to the time axis list element 230E. Or you may make it provide the variable showing an end time in a time-axis list element, for example.

  In the example of FIG. 6, the first power axis list element 240 of the first time axis list element 230A is represented as a power axis list element 240AA. The generator type of the power axis list element 240AA is a power company (UT), the available power width is 20 KW, and the electricity bill is 9 yen / KWh. That is, in the time zone from 3 o'clock to 6 o'clock, the electricity bill for the used power is 9 yen / KWh.

  Time axis list element 230B includes power axis list elements 240BA, 240BB, and 240BC. The first of these is the power axis list element 240BA. The generator type of the power axis list element 240BA is a storage battery (BT), the available power width is 3 kW, and there is no power generation unit price. The generator type of the power axis list element 240BB next to the power axis list element 240BA is photovoltaic power generation (PV), the available power width is 2 KW, and the power unit price (profit price) is 39 yen / KWh. . The generator type generatorType of the next power axis list element 240BC is a power company (UT), the available power width is 17 kW, and the power unit price (electricity cost) is 9 yen / KWh. That is, in the time zone from 6 o'clock to 7 o'clock, the energy charged in the storage battery can be used up to 3 kW. Here, when the storage battery 3KW is used, if the power consumption is 5KW or less, surplus power up to 5KW can be sold at 39 yen / KWh. When the electric power is used at 5 KW or more, an electric cost of 9 yen / KWh is generated for the electric power exceeding 5 KW. When the storage battery is not used, if the power used is 2 KW or less, surplus power up to 2 KW can be sold at 39 yen / KWh. When 2KW or more is used, an electricity bill of 9 yen / KWh is generated for power exceeding 2KW. The same applies to other time zones. Note that the time zone represented by the time axis list element 230E in FIG. 6 is a case where power up to 2 KW generated by sunlight (PV) cannot be sold (waste flag wasteFlag = 1). When 2KW is not used, the power generation by solar power generation is useless.

  Referring to FIG. 7, the product organization information 212 is a tree structure list. FIG. 7 shows the concept of this tree structure list. First, the concept represented by FIG. 7 will be briefly described.

  Each home has one or more smart meters (electric meters) that connect to the power company. Therefore, the list of the product arrangement information of one home includes a smart meter list 250 including one or a plurality of nodes (corresponding to smart meters) branched from the root node. The number of smart meter lists 250 matches the number of smart meters provided in this house.

  Each smart meter included in the smart meter list 250 is connected to a distribution board, and a plurality of distribution board switches are provided inside the distribution board. Therefore, one or a plurality of nodes indicating distribution board switches branch from each node that is an element of the smart meter list 250. These nodes form a distribution board switch list (beakerSwitchList) 272.

  Each distribution board switch is connected to one or more outlets. Goods are connected to these outlets. Therefore, nodes corresponding to products connected to the outlet branch from each node indicating a distribution board switch, which is an element of the distribution board switch list 272, to form a product list 282. In addition, although one distribution board switch may respond | correspond to the outlet of one room, for example, it changes with houses.

  Each node (that is, each product) in the product list 282 may have a plurality of operable options. Accordingly, one or a plurality of nodes each representing an operable option branch from each node of the product list 282 to form an operation list 292.

  For each of the selectable options for a product, a step in which the product operates is defined for each time. Therefore, from each node of the operation list 292, one or a plurality of nodes indicating the respective steps are branched to form an operation step list 302.

  Some products can be operated only at a specific time, and others can be shifted in operation time. These must be distinguished and their time defined if shiftable. Accordingly, from each node of the action list 292, one or more nodes defining the time during which the product can be operated branch, and these form an actionable time list 304.

  The nodes constituting each list in the product organization information 212 will be described in detail. Referring to FIG. 8, smart meter list 250 includes one or more smart meter list elements 270. The number of smart meter list elements 270 is the number of smart meters in the home.

  Smart meter list element 270 includes one or more distribution board switch lists 272.

  Referring to FIG. 9, each distribution board switch list 272 includes one or more distribution board switch list elements 280. Each distribution board switch list element 280 includes a product list 282.

  Referring to FIG. 10, each product list 282 includes one or more product list elements 290. Each of the product list elements 290 includes a product action list 292.

  Referring to FIG. 11, each action list 292 includes one or more action list elements 300 whose elements are possible choices related to the action. Each of the operation list elements 300 specifies the operation mode of the corresponding electrical product. As a result of scheduling described later, one operation of the operation list element 300 is selected for a certain product.

  The operation list element 300 is an operation step in which a priority, a selection flag indicating whether an operation is selected, an operation type operationType, and an operation time in which the product operates in this operation mode are defined in a list format for each time. The list (operationStepList) 302 includes an operable time list (possibleOperationTimeList) 260 that defines the time in which the product can be operated in a list format.

  The priority represents the priority of the operation mode. This priority is displayed as the user priority 168 in FIGS.

There are two types of products: products with a fixed operating time (for example, a refrigerator) and products whose operating time can be changed (for example, a washing machine). The operation type operationType distinguishes the two. The operation type operationType indicates that a fixed time (fixedOperation) indicating that the time for which the corresponding product operates is fixed, and that the time for which the corresponding product operates can be shifted within a certain time range. There is a shiftable time (shiftOperation) shown .

  With reference to FIG. 12, the operation | movement step list | wrist 302 defines the step in which goods operate | move for every time. The action step list 302 includes one or more action step list elements 310. Each of the operation step list elements 310 includes a start time (stepFromTime) and an end time (stepToTime) of the operation step, and power consumption (step power consumption). That is, the operation step list element 310 can define the time zone in which the product operates and the power consumption (energy) of the product for each time zone.

  Referring to FIG. 13, the operable time list 304 is used only in the case of shiftable time, and defines the time during which the product can be operated. The ready time list 304 includes one or more ready time list elements 320. The operable time list element 320 defines a start time (possibleFromTime) and an end time (possibleToTime) of a time during which a certain product can operate. Note that the start time and end time may be defined not in a time zone in which operation is possible but in a time zone in which operation can be started. When the type of motion (see FIG. 11) is “fixed time”, the motion step list 302 is defined in real time. When the motion type is “shiftable time”, the motion step list 302 is relative time. Defined. Therefore, in this case, the start time of the step of the first operation step list element 310 in the operation step list 302 may be set to 0.

  The priority is set to a user's preference (preference) value. For example, using the product 108 such as a personal computer shown in FIG. 1, writing it in the database 150 shown in FIG. 2, and setting the user priority 168 as the priority in the product organization information 212 by the product information organizing unit 202 in FIG. 3. . Of course, other methods may be used.

  The list configuration of the power generation organization information 210 and the product organization information 212 shown in FIGS. 7 to 13 is an example. For these, other data formats may be used. For example, it may be a list of sequences or a linked list. The same applies to the list described later.

  In the present embodiment, a step start time (stepFromTime) and an end time (stepToTime) are defined in each operation step list element 310. This is because it is assumed that the start time or the end time is different for each operation step list element 310 even for the same product. If there is no change in the start time and end time of all operation step list elements 310 of the same product, the start time and end time may be entered in the operation list element 300.

  FIGS. 14 to 16 show examples of tree structure lists using the elements shown in FIGS. The top smart meter list 250 of this list includes two smart meters 270A and 270B. A first distribution board 272A is connected to the first smart meter 270A, and a second distribution board 272B is connected to the second smart meter 270B.

  The first distribution board 272A is provided with a first distribution board switch 280A and a second distribution board switch 280B. The second distribution board 272B is provided with a third distribution board switch 280C.

  One illumination 290A is connected to the first distribution board switch 280A. A vacuum cleaner 290B, a refrigerator 290C, a television 290D, a rice cooker 290E, and a first air conditioner 290F are connected to the second distribution board switch 280B. A washing machine 290G, a second cooling 290H, and a fan 290I are connected to the third distribution board switch 280C.

  Here, a description of the tree structure of FIGS. 7 to 13 will be added using the examples of FIGS. 14 to 16.

  The distribution board switch list element 280 includes a product list 282, and this case is illustrated in the second distribution board switch 280B. That is, the product list elements of the vacuum cleaner 290B, the refrigerator 290C, the television 290D, the rice cooker E, and the first air conditioner 290F are stored in the product list 282 of the second distribution board switch 280B. That is, the cleaner 290B, the refrigerator 290C, the television 290D, the rice cooker E, and the first air conditioner 290F are connected to the second distribution board switch 280B. The same applies to the first distribution panel switch 280A and the third distribution panel switch 280C.

  Next, the description of the case where the type of operation is “fixed time” will be described using the case of the first cooling 290F. Referring to FIG. 15, there is an operation list 292F in the product list element 290F corresponding to the first cooling 290F (see FIG. 10). There are three action list elements 300A, 300B and 300C in the action list 292F. For example, the action list element 300A includes a priority 306A = 0 and an action step list 302A. The priorities of the other action list elements 300B and 300C are 15 and 40, respectively, as shown in FIG.

  The operation step list 302A of the first cooling 290F includes two operation step list elements 310A and 310B. 14 and 15, the left end of the rectangle in which the operation step list elements 310A and 310B are drawn is the start time of these elements, and the right end is the end time. A numerical value (600, 700, etc.) drawn inside the rectangle of the operation step list element 310 is the step power consumption. The start time of the first action step list element 310A of the action list element 300A is 6:00, and the end time is 10:00. The start time of the second operation step list element 310B is 10:00 and the end time is 15:00. The same applies to the configuration of the operation list elements 300B and 300C.

  Next, the case where the type of operation is “shiftable time” will be described using the example of the washing machine 290G shown in FIG. Here, since operation list 292 and operation list element 300 included in product list element 290 (see FIG. 10) corresponding to washing machine 290G are the same as in first cooling 290F, description thereof will not be repeated here.

  Referring to FIG. 16, it is assumed here that the number of action list elements 300 (see FIG. 11) in action list 292G corresponding to washing machine 290G is two. One is an operation list element 300D when washing and drying, and the other is an operation list element 300E when washing only.

  The operation list element 300D has a priority = 0 and includes an operation step list 302B and an operation possible time list 304A. The operation step list 302B includes two operation step list elements 310C and 310D that perform washing and drying, respectively. The operation step list element 310C has a start time of 0 and an end time of 1 o'clock. The operation step list element 310D has a start time of 1 o'clock and an end time of 2 o'clock. The ready time list 304A includes one ready time list element 320A. The start time of the operable time list element 320A is 3 o'clock and the end time is 18 o'clock.

  The operation list element 300E has a priority = 46 and includes an operation step list 302C. The operation step list 302C includes an operation step list element 310E for performing washing.

  In this case, for example, when priority = 0 is designated in scheduling, the washing machine operates for 2 hours (washing and drying) between 3 o'clock and 18 o'clock according to the operation list element 300D.

  The contents and operations below the product list 282 of other products are the same as those of the first cooling 290F and the washing machine 290G. Therefore, detailed description thereof will not be repeated here.

  Next, the outline of the configuration of the schedule algorithm unit 204 shown in FIG. 3 will be described using the examples shown in FIG. 6 (power generation arrangement information 210) and FIGS. 14 to 16 (product arrangement information 212). In order to simplify the explanation, the illumination 290A, the vacuum cleaner 290B, the refrigerator 290C, the television 290D, the rice cooker 290E, the first air conditioner 290F, the washing machine 290G, the second air conditioner 290H, and the electric fan shown in FIGS. The operation method, power consumption, and priority are extracted from the operation list element 300 of 290I, and are arranged in order of priority in FIG.

  The scheduling algorithm operates in order of priority. When a certain priority is selected, the operation of the product corresponding to the priority is scheduled, and the total power consumption is calculated. When the result regarding the power consumption does not satisfy a predetermined condition, the priority of some products is lowered and the power consumption is recalculated. Such a process is repeated until a predetermined condition is satisfied. Therefore, a data structure for calculating power consumption is defined as a power consumption list 224 shown in FIG.

  Referring to FIG. 18, in this power consumption list 224, power consumption is calculated for each time zone. This is a power consumption list element 330. Since the power consumption changes with time, the power consumption list elements 330 are arranged in time order to form the power consumption list 224. In the power consumption list element 330, a start time (powerFromTime) and power consumption (powerConsumptionKW) are defined. Other variables of the power consumption list element 330 are related to the storage battery, and will be described later.

  An example of the progress of power consumption represented in the power consumption list 224 is shown in FIG. In the example illustrated in FIG. 19, the power consumption list 224 includes five power consumption list elements 330A to 330E. The start time of the power consumption list element 330A = 0, and the power consumption = 5 kW. The start time of the next power consumption list element 330B = 6 and the power consumption = 10 kW. That is, it can be seen from the power consumption list element 330A and the power consumption list element 330B that the power consumption from 0 o'clock to 6 o'clock is 5 kW lower than the power consumption from 6 o'clock onward. In the initial state, the number of power consumption list elements 330 in the power consumption list 224 is the same as the number of time axis list elements 230 in the time axis list 220, and the start time of each power consumption list element 330 corresponds to the number. The start time of the time axis list element 230 is set. In the initial state, the power consumption of all the power consumption list elements 330 is set to zero. Although the power consumption list element 330 may be added to or deleted from the power consumption list 224, the power consumption list element 330 in the initial state is not deleted as will be described later.

  FIG. 20 shows a control structure of a computer program that is executed by computer hardware and implements the schedule algorithm unit 204 shown in FIG. In FIG. 20 and the following description, the targetPriority variable is a variable indicating the setting priority.

  The program starts at step 350, sets the targetPriority variable to 0, and resets the power consumption list element 330.

In step 360, a fixed time schedule is performed. Here, the power consumption list 224 is calculated from the step power consumption for each time zone of the operation step list element 310 for the operation list element 300 whose targetPriority matches the priority and whose operation type is “fixed time”. . In the initial state (targetPriority = 0), the power consumption list element 330 is displayed for each time period according to the fixed time of the power consumption with the priority “0” among those shown in FIGS. 14 to 16 and 17. The calculated total. After that, it is determined at what time the storage battery is charged and supplied with respect to the power generation arrangement information 210 (this is referred to as “storage battery adjustment”, the details of which will be described later). The total numerical value (electricity or electricity sales or CO ₂ emissions) is calculated from the power unit price of the power axis list element 240 and the supplied power (details will be described later).

  Next, in step 370, the shiftable time is scheduled. Here, among the products shown in FIG. 17, the operation list element 300 whose priority is equal to or higher than the value of targetPriority, the type of operation is “shiftable time”, and the operation list element 300 of the product. The operation step list element 310 of the time zone closest to the target 170 (see FIG. 3) is assigned to all the time zones of the operable time list element 320 for the one having the lowest priority. In the first loop, the one whose priority matches targetPriority is selected here. The loop after the next time will be described later. The operation step list element 310 is searched by rotating a loop for every time of the operation time list element 320 for every time period. At this time, as in step 360, the storage battery is adjusted.

  After step 370, control proceeds to step 380, where the priority (targetPriority update) value is lowered (targetPriority update). In step 380, it is determined whether a calculation result such as power consumption has achieved a target. In the following step 380, it is determined whether the target has been achieved or the calculation of power consumption has been completed using the entire operation list. If the determination is affirmative, the process ends. If the determination in step 390 is negative, control returns to step 360. The process in step 360 after the second time will be described later.

  In the case of FIGS. 14 to 16 and 37, when the target cannot be achieved even if the calculation is first performed with targetPriority = 0, in step 380, the value of targetPriority is changed to the next value. In the example shown in FIG. 17, the value of the next lowest priority after priority = 0 is 8 (second cooling). Therefore, in this case, targetPriority is set to 8 and control returns to step 360.

  Hereinafter, step 360 and step 370 are calculated with the second cooling priority = 8. That is, in the previous loop, the value calculated as the second cooling priority = 0 (power consumption = 700 W) is changed to the second cooling priority = 8 (power consumption = 600 W) this time, and again. Calculation of the power consumption list 224 and storage battery adjustment are performed to calculate the total power consumption value. At this time, except for the second cooling, the calculation using the priority = 0 is performed. That is, in the process of step 360 in the second and subsequent loops, if there is an action list element 300 having a priority that matches the target priority for a certain product, it is used, but it has a priority that matches the target priority. If there is no action list element 300, the action list element 300 having the priority of the smallest and largest value is used. In short, in the process of step 360, the action list element 300 having a priority higher than the target priority for a certain product and the action list element 300 having the lowest priority among them is used for the calculation.

  Such processing is repeated until the determination in step 390 becomes YES.

FIG. 21 shows the result of the action list element 300 selected as a schedule as a result of repeating the calculation with the priority changed as above. For example, when targetPriority = 0 is repeated, the action list element 300 with priority = 0 is selected. Referring to FIG. 21, in this case, operation list element 300 from the first “vacuum cleaner (shift, 1K, priority = 0)” to the eighth line is selected. This state is indicated by hatched cells in the column corresponding to priority = 0 in the right half of FIG. At targetPriority = 8, the selection of the second cooling is switched from priority = 0 to priority = 8. This is because, in the right half of FIG. 21, the cell corresponding to the cooling 2 in the column of priority = 8 (fixed, 700, priority = 0) changes from hatching to white, and the cooling 2 (fixed, 600) , The cell of priority = 8) is changed to hatching.

  The priority change need not always be the next priority. For example, priority power consumption may be selected that has a large difference from the power consumption of the current priority product. In the case of FIG. 21, when priority = 15, the power consumption is not much different from the power consumption when priority = 16. Therefore, priority = 15 may be set as priority = 17. This makes the process faster.

  At targetPriority = 15, the selection of the first cooling 290F is switched from priority = 0 to priority = 15. The same applies hereinafter. Here, when targetPriority = 25, the power of the first cooling 290F is 0, that is, the power of the first cooling 290F is turned off. At the same time, the fan (fixed, 60, priority = 25) is turned on. Here, the evaluation is made on the electricity bill, and the electricity bill for each targetPriority is shown at the bottom of the right half of FIG. For example, when the target 170 (see FIGS. 2 and 3) is set to 150 yen, the target is achieved when targetPriority = 40, as indicated by a one-dot chain line 400.

  FIG. 22 shows an example of a schedule 180 (see FIGS. 2 and 3) obtained as a result of performing such processing. FIG. 22 shows an example of handling more products than the example shown in FIG. The schedule result includes the schedule result of the product (upper part of FIG. 22) and the schedule result of the power generation system (lower part of FIG. 22). The product schedule results show how much power is consumed by which product in which time zone. The total power is drawn as a utilization power line 410 over the schedule result of the power generation system. The schedule result of the power generation system further indicates how much power is being used from which power generation device in each time zone. For example, at 3 o'clock in the morning, electric power (UT) from an electric power company is consumed, and a part thereof is used for charging electric power (BT C) of the storage battery (BT). At 12:00, the power supply (BT) from the storage battery and a part of the power (PV) obtained by solar power generation are consumed (BT U and PV U), and the surplus of the power obtained by solar power generation Is sold (PV S).

  Next, details of this algorithm will be described using program variables with reference to FIG. The variables used here are targetPriority for managing the priority, Operation and Operation 1 for holding the operation list element 300, and variable stepStartTime for specifying the operation time for the fixed time or shiftable time. In the case of a fixed time, stepStartTime = 0. In the following description, a so-called object may be assigned to a variable. In such a case, the variable is often assigned a pointer to the storage area of the object instead of the object itself. However, because the explanation becomes complicated, it is written that a value is simply assigned to a variable including such a case.

  First, in step 430, targetPriority = 0 is set, and Operation is set to the first operation list element 300 of the operation list 292. In the example of FIG. 17, this is lighting priority = 0. In this embodiment, targetPriority = 0 is set here, but setting it to 0 is not an essential condition. It is natural that the initial value of targetPriority changes depending on how the priority is set.

  Next, power adjustment for a fixed time is performed from step 432. Here, since Operation is temporarily held, Operation1 = Operation. That is, the value of the variable Operation is assigned to the variable Operation1.

  Next, in step 434, it is confirmed whether the operation type of operation is fixed time. If the determination is true, power is reduced in step 436, stepStartTime = 0 is set in step 438, power calculation (described later) is executed in step 440, and control is transferred to step 442. If the determination in step 434 is false, control transitions to step 442.

  The power reduction in step 436 is performed as follows. The power to be deleted is the operation list element 300 of the previous priority of the product list element 290 that is the same as the operation list element 300 scheduled this time. For example, in the case of the washing machine of FIG. 21, there are two operation list elements 300 with priority = 0 and priority = 46.

  FIG. 24 depicts changes in power consumption associated with these two. When scheduling the operation list element 300 with priority = 46, it is necessary to first delete the power with priority = 0 scheduled in advance. That is, the power consumption portions 490 and 492 corresponding to the two operation step lists at the priority = 0 of the washing machine are deleted from the power consumption of the portion surrounded by the broken line 480 in FIG. As a result of this deletion, as shown in FIG. 24, the power consumption list elements 504 and 506 in the portion 500 corresponding to the deleted power consumption portions 490 and 492 in the power consumption list 224 have the power consumption amounts of 0.1 and 0.1, respectively. Decrease by 2 and become 6. As a result, the power consumption is equal to the operation list elements 502 and 508 before and after that. Accordingly, in this case, a plurality of operation list elements that are continuous with the same power consumption can be combined into one. For this reason, the power consumption of the power consumption list element after deletion is compared with the power consumption of the power consumption list element immediately before or immediately after, and the power consumption list element after that is deleted if they match. However, when the start time of the power consumption list element to be deleted matches fromTime of any time axis list element 230, this power consumption list element is not deleted. The “match” may be allowed even if there is an error within a certain range. When scheduling an action list element with priority = 0, it is not necessary to perform the deletion process in step 436. In the first place, it is not always necessary to reduce this step 436.

  For each product, the power consumption list 224 may be recalculated according to the priority used. For example, when calculating priority = 46, priority is 0 for refrigerator and rice cooker, priority = 22 for television, 35 for lighting, 37 for electric fan, 40 for first cooling 290F, and 46 for washing machine. The power consumption list 224 is calculated.

  Referring to FIG. 23 again, in step 442, the next element is substituted into the variable Operation. That is, in the case of FIG. 17, the vacuum cleaner (priority = 0) is the next element. Hereinafter, the elements assigned to the variable Operation and the variable Operation1 are simply referred to as “Operation” and “Operation1”, respectively.

  In step 444, it is confirmed whether or not the operation priority = targetPriority. If they are equal, control returns to step 434 and power is calculated at step 440 if necessary. If the determination in step 444 is negative, control transitions to step 446.

  From step 446, power adjustment of shiftable time is performed. Here, the variable value temporarily stored in Operation 1 is substituted for Operation.

  In step 448, it is confirmed whether or not the operation type of operation = shiftable time. If true, after performing a time shift calculation (described below) in step 450, control transitions to step 452. If false, control goes to step 452 without going through step 450.

  In step 452, the following element is assigned to Operation.

  Next, in step 454, it is confirmed whether or not the operation priority = targetPriority. If so, control returns to step 448, time shift calculation is performed in step 450 if necessary, and control returns to step 452. If not, control transitions to step 456.

  In step 456, the next priority is assigned to targetPriority. For example, if targetPriority = 0 in FIG. 17, targetPriority = 8 in step 456.

  In step 438 and step 450, the power usage is calculated, and in step 458, the electricity cost or CO2 emission related to the calculated power usage has achieved the target 170 (smaller than the target), or the total operation list element 300 Is considered. If true, execution of this program ends. Otherwise, control returns to step 432 and repeats the processing from step 432 on for the new targetPriority.

  With reference to FIG. 25, details of time shift calculation step 450 performed in step 450 of FIG. 23 will be described.

  First, here, in the time zone of the operable time list 304, the operation step list 302 is assigned for each time zone, and the option with the best condition is selected. The start time of the options is the start time of each power consumption list element 330 in the power consumption list 224 and the start time of each time axis list element 230 in the time axis list 220.

  First, in step 560, power is deleted from the power consumption list 224. This process is the same as the process in step 436.

  Next, in step 562, the process proceeds to the first time zone. This time is the smallest start time in the operable time list 304. This time is substituted into stepStartTime.

  Next, at step 564, power calculation is performed.

  Next, in step 566, the same deletion process as in step 560 is performed. It should be noted that it is not always necessary to perform processing such as this power deletion. The purpose is to return the power consumption list 224 to the state before entering step 564, and any process that can achieve the purpose may be used.

  Next, in step 566, the next processing target time is set. This is greater than stepStartTime and within the operable time zone among the start time of the power consumption list element 330 in the power consumption list 224 and the start time fromTime of the time axis list element 230 in the time axis list 220 and The value closest to stepStartTime is assigned to stepStartTime.

  Next, in step 566, it is determined in step 570 whether or not the time has been substituted for stepStartTime within the operable time zone. If so, control returns to step 564; otherwise, control transitions to step 572.

  In step 572, the start time of the time zone closest to the target 170 is set in stepStartTime from the electricity cost or CO2 emission amount for the used power calculated during the loop of step 564 to step 566. In the present embodiment, there are options larger than the target 170 and options smaller than the target 170, and when the difference from the target 170 is equal to each other, the smaller one is selected.

  In step 574, power calculation is performed again using the final stepStartTime, and the final power consumption list 224 is obtained.

In addition, in order to obtain the final power consumption list 224, processing other than the processing in step 572 and step 574 can be employed. For example, a variable (minShiftValue) that holds the value of the smallest electricity cost or CO ₂ emission amount so far is prepared, and when the result of step 564 is closer to the target 170 than the variable minShiftValue, the value of the variable minShiftValue is set to the result of step 564. Set and save the final power consumption list 224 in step 564. When the process ends in step 570, the final power consumption list 224 closest to the target 170 is held, and this result may be used.

  Next, details of the power calculation processing in step 438, step 564, and step 574 will be described. Referring to FIG. 26, power usage is calculated in step 600. First, the time zone of each operation step list element 310 in the operation step list 302 is set from stepStartTime + start time to stepStartTime + end time. If the type of operation of the target operation step list element 310 is “fixed time”, stepStartTime = 0 is set in step 438. The step power consumption of each operation step list element 310 is added to the power consumption list 224. Therefore, the start time and end time of the time zone are compared with the power consumption list 224. When the start time or the end time does not exist in the operation step list 302, the power consumption list element 330 at a time that does not exist is inserted at a location corresponding to the time. In this case, the power consumption of the power consumption list element 330 is set to the power consumption of the power consumption list element 330 immediately before in terms of time. Then, step power consumption is added to the power consumption of all the power consumption list elements 330 from the start time to the end time in the power consumption list 224. This is, for example, the reverse operation of deletion in FIG.

Next, in step 602, the storage battery is adjusted. Details of the storage battery processing will be described later. Finally, in step 604, the selection flag (selected) of the operation list element 300 is updated. For example, in FIG. 21, when the process of targetPriority = 22 is performed, the priority 22 is a television, but when the process of targetPriority = 22 is started, the television operates at a priority of 0 (selected of priority 0 is Set to True). Therefore, in step 604, the previous priority of the television with respect to the priority 22 is first searched (that is, the priority is 0). The selected priority 0 is set to False. The previous priority is set only when the previous priority exists. For example, when the priority is 0, the previous priority does not exist. Finally, selected priority 22 is set to true.

  Next, adjustment of the storage battery will be described.

  First, an example of the effect of the storage battery will be described with reference to FIGS. 27 and 28 to 30. 27 to 30, the horizontal axis is time, and the vertical axis is power.

  FIG. 27 shows a case where no storage battery is used. This case is divided into two periods (period 1 and period 2) each of which is 1 hour. The dotted line is the utilization power line 620. In this example, in period 1, 1 KW (PV) generated by sunlight and 1 KW of electric power (UT) from an electric power company are used. Similarly, in period 2, 1 KW (PV) generated by solar light and 2 KW worth of power (UT) purchased from an electric power company are used. When selling electricity generated by sunlight, it sells for 40 yen per kWh. The unit price is indicated by a numerical value next to a symbol indicating the type of power generation device such as “PU” or “UT” in FIGS. “PV 40” shown in FIG. 27 indicates that the power of solar power generation can be sold at 40 yen per 1 kWh. As shown by “UT 28”, the electricity bill for power purchased from the power company is 28 yen per kWh in both period 1 and period 2 of FIG. In this case shown in FIG. 27, it is assumed that all the electric power generated by sunlight is used in the home. Therefore, there is no revenue from selling electricity. For this reason, the electricity bill is calculated as follows (the electricity bill calculated by selling electricity is treated as a negative value).

ここで、期間１の「２８＊１」の「１」は、購入電力量の１ＫＷｈを示す。期間１及び期間２における「４０＊０」の「０」は、太陽光発電の電力を売電していないため、単価は０と考えられるためである。この計算により、図２７における電気代は８４円となることが分かる。

Here, “1” of “28 * 1” in period 1 indicates 1 kWh of purchased electric energy. “0” of “40 * 0” in the period 1 and the period 2 is because the unit price is considered to be 0 because the power of solar power generation is not sold. This calculation shows that the electricity bill in FIG. 27 is 84 yen.

  Next, the case where a storage battery is employ | adopted in the same example as FIG. 27 is shown in FIGS.

  FIG. 28 and FIG. 29 show a case where a 3 kWh storage battery is used, and FIG. 30 shows a case where a 2.5 kWh storage battery is employed.

  FIG. 28A shows the case where a storage battery of period 1 to 3 kWh is inserted. The power used in period 1 is 2 kWh. Allocate 2 kWh from the 3 kWh storage battery to power consumption. 1 kWh remains as the power supply capacity of the storage battery. Here, it is assumed that 10 yen per 1 kWh is required to charge the storage battery. That is, the power charge when consuming the power of the storage battery is 10 yen per 1 kWh (BT 10). In period 1, the photovoltaic power generation generates 1 KW, and the necessary power can be supplied by the power of the storage battery, so that the power of the photovoltaic power generation can be sold.

  On the other hand, in period 2, the remaining 1 kWh of the storage battery and 1 kWh generated by sunlight are consumed, and further necessary power (1 kWh) is purchased from the power company (UT 28). For this reason, the electricity bill in period 1 and period 2 in this case is calculated as follows.

ここで、期間１の「１０＊２」が期間１の蓄電池費用であり、「−４０＊１」が売電できた電力の価格である。期間１の利益は２０円となる。一方、期間２では、電力会社からの「２８＊１」、太陽光発電の「−４０＊０」（売電していないため、単価は０）、及び蓄電池からの「１０＊１」である。期間２の電気代は３８円である。この結果、期間１と期間２とを通算した電気代の合計は１８円となる。

Here, “10 * 2” in period 1 is the storage battery cost in period 1, and “−40 * 1” is the price of the electric power that can be sold. Profit for period 1 will be 20 yen. On the other hand, in period 2, “28 * 1” from the power company, “−40 * 0” of solar power generation (the unit price is 0 because no power is sold), and “10 * 1” from the storage battery. . The electricity bill for period 2 is 38 yen. As a result, the total electricity bill for period 1 and period 2 is 18 yen.

  In FIG. 28B, a storage battery is not used in period 1 and a 3 kWh storage battery is used in period 2. Since a storage battery is not used in period 1, it is the same as period 1 in FIG. In period 2, since 3 kWh of the storage battery is used, all the electric power stored in the storage battery is used in period 2. In period 2, it is assumed that 1 KW of sunlight is generated, and therefore this power can be sold. For this reason, the electricity bill is calculated as follows.

このように、図２８（Ａ）と図２８（Ｂ）との電気代は両方とも１８円になり、どちらを選択しても同じ結果となる。

Thus, both the electricity charges in FIGS. 28A and 28B are 18 yen, and the same result is obtained regardless of which one is selected.

  FIG. 29A and FIG. 29B differ from the cases shown in FIG. 28A and FIG. 28B in that the power selling price of sunlight in period 2 is 50 yen. The calculation method of the electricity bill is the same as that shown in FIGS. 28 (A) and 28 (B). As a result, the electricity bill in FIG. 29A is 18 yen, and the electricity bill in FIG. 29B is 8 yen. Therefore, under this condition, it is better to allocate power according to FIG.

  FIG. 30A and FIG. 30B differ from the cases shown in FIG. 28A and FIG. 28B in that a 2.5 kWh storage battery is used instead of a 3 kWh storage battery. The calculation method of the electricity bill is the same as that shown in FIGS. 28 (A) and 28 (B). As a result, the electricity bill in FIG. 30A is 27 yen, and the electricity bill in FIG. 30B is 32 yen. Therefore, under this condition, it is better to allocate power according to FIG.

  In this way, by changing the conditions, it is changed to which period power is preferably allocated from the storage battery.

  Although the examples of FIGS. 27 to 30 relate to electricity costs, for example, optimization based on CO2 emissions is also possible. In that case, the value to be calculated (evaluation unit price) is not the electricity cost and the power selling price, but only the CO2 emission amount.

  Various methods for assigning the storage battery to which period can be considered. Here, a full search algorithm that considers all options is adopted.

  With reference to FIG. 31, the outline of the control structure of the program for determining the allocation of storage batteries by this all search algorithm will be described. Although only two periods are considered in FIG. 27, a case where there are five periods is considered here. And all the choices on the predetermined conditions of the combination of the electric power supply source and electric power sale using a storage battery are confirmed. The outline of the algorithm is as follows. Let five periods be periods 1, 2, 3, 4 and 5 in order. There are 5 × 4 × 3 × 2 × 1 = 120 ways of arranging these periods according to the permutation combination. A storage battery is assigned to all of them as a power supply source in the first period (the first period of the permutation). If the power supply capacity of the storage battery remains, the storage battery is allocated again in the period of the next order in the permutation. This is repeated until there is no remaining power supply capacity from the storage battery.

  This will be specifically described below. First, the first option is option 1.2.3 (upper left in FIG. 31). Here, first, the storage battery is assigned to period 1, the remaining power supply capacity is assigned to period 2, the remaining power is assigned to period 3, and if power supply capacity remains, they are assigned to periods 4 and 5 in order. As a result of the allocation in period 3, when there is no remaining, the storage battery allocation is terminated at that time, and the calculations as shown in FIG. 28 to FIG. 30 are performed on the remaining power usage. In this example, storage batteries are allocated to periods 1, 2, and 3, so this allocation is referred to as option 1.2.3. Next, evaluate option 1.2.4.5. In this case, instead of the period 3 in the option 1.2.3, the next period 4 is selected as the storage battery allocation period. If not all of the time period 4 is used up, the remaining time is allocated to period 5 in this example. In this way, an option for allocating storage batteries in the order of periods 1, 2, 4, and 5 is called option 1.2.4.5.

  After all the allocation methods based on the options with the first period 1 are calculated, the options with the first period 2 are selected, the options with the first period 3 are, and the options with the first period 5 are selected. All are evaluated and the option with the least electricity bill (or the least amount of generated CO2) is adopted.

  FIG.32 and FIG.33 shows the control structure of the program for realizing such a storage battery allocation method in a flowchart form. FIG. 34 shows an example in which the storage battery is removed from FIG. In this embodiment, a storage battery is allocated (charging or feeding) from this state. FIG. 34 also shows power usage (power consumption list 224).

Referring to FIG. 32, first, at step 640, the charging time is searched. Basically, in each period (power consumption list element 330), a graph is assumed in which the amount of power that can be used is accumulated in order from the lowest power cost. On this graph, a power usage line is drawn as shown in FIG. If this power line is within the rectangle indicating the purchase of power from the power company (the rectangle marked “UT ” ) and the electricity bill for that period is the cheapest as the electricity bill from the power company, Charging is possible. When the power line is on a portion where solar power cannot be sold, the period can be charged. When the power line is in a rectangle (UT) indicating purchase from an electric power company and the electricity cost is higher than the lowest price, power can be supplied from a charged storage battery during that period. In other words, power from the storage battery is used during such a period. When the usage power line is in a rectangle (UT) indicating purchase from an electric power company and the power of solar power generation can be sold, power can be supplied from a charged storage battery within that period. In other periods, for example, when the electricity bill is less than half of the maximum electricity bill, charging is possible, and when it is more than half, the charged power may be used. That is, in the case of FIG. 34, the period from 3 o'clock to 7 o'clock and the period from 13:30 to 15 o'clock are chargeable periods.

  In this example, only the electric power company and sunlight are used, but if there is other power generation, it can be handled in the same manner as solar power generation.

  Here, with reference to FIG. 18, the storage battery related variables incorporated in the power consumption list element 330 will be described. The battery-related variables include the battery status batteryStatus, initial charge status batteryInitialCharge, final charge status batteryFinalCharge, chargeable capacity batteryExtraCharge, usable capacity batteryPossibleUse, used capacity batteryUsed, and the power consumption list element 330 is already included in the recursive algorithm described later. It includes a used flag usedByRecursive which is a flag indicating whether or not it has already been used.

  The storage battery status batteryStatus is information for distinguishing between a period during which the storage battery can be charged and a period during which power can be supplied. The storage battery status batteryStatus takes a value of CanCharge during a period during which the storage battery can be charged, and the storage battery status batteryStatus takes a value of CanUse during a period during which power can be supplied. For a period when the storage battery status batteryStatus = CanCharge, that is, a period during which the storage battery can be charged, how much the storage battery can be charged in that period is calculated according to the characteristics of the storage battery and the charging status.

  The initial charging status batteryInitialCharge holds information indicating the charging status of the storage battery at the start time of the chargeable period of the power consumption list element 330.

  The final charge status batteryFinalCharge holds information indicating the charge status of the storage battery after being charged at the end time of the chargeable period. For example, when the storage battery is already fully charged and cannot be charged any longer even during the period when charging is possible, the initial charging status batteryInitialCharge = the final charging status batteryFinalCharge.

  When there are two or more non-continuous charging periods, for example, when there is a charging period, then there is a usage period, and then the charging period and the usage period continue, the power of the storage battery is used during that period. There is a possibility that. In the case of FIG. 34, the first charging period is between 3 o'clock and 7 o'clock. The second chargeable period is from 13:30 to 15:00. However, there is a possibility that electric power stored between 3 o'clock and 7 o'clock may be used between 7 o'clock and 13:30. For example, when there is a possibility that the power of the storage battery is used even after 15:00, it is better to charge the battery from 13:30 to 15:00. However, it is not known at the time of step 640 in FIG. 32 how the storage battery is used between 7:00 and 13:30. As a result, it is not known how much charging is possible between 13:30 and 15:00. Therefore, in the chargeable period, the chargeable capacity batteryExtraCharge of each power consumption list element 330 holds the chargeable amount during that period.

  The available capacity batteryPossibleUse and the used capacity batteryUsed of the power consumption list element 330 set to storage battery status batteryStatus = CanUse are set. In the initial state, the available capacity batteryPossibleUse is a power consumption list element whose storage battery status batteryStatus = CanCharge, and the final charge status batteryFinalCharge that is temporally earlier than the power consumption list element being processed is used in the usage capacity batteryUsed Are set to 0, respectively. When the storage battery is used during the storage battery adjustment process, the available capacity batteryPossibleUse and the used capacity batteryUsed are adjusted according to the usage amount.

  Next, in step 642, the used flag usedByRecursive of the total power consumption list element 330 of the power consumption list 224 is set to False. The used flag usedByRecursive indicates whether or not the power consumption list element 330 is already used in the recursive algorithm in the next step 644. If the value of the used flag usedByRecursive is True, the power consumption list element 330 has already been used, and if it is False, it has not been used yet.

  In step 644, the actual allocation is performed as follows. Details of step 644 are shown in FIGS.

  The routine shown in FIG. 33 shows a control structure of a program that realizes a storage battery allocation function by a recursive algorithm. The variable (power pointer powerPointer) used here is a variable generated on the stack each time this routine is executed following a recursive call. That is, when this recursive function is called, one power pointer powerPointer is put on the stack, and when the recursive function is called again, another power pointer powerPointer is put on the stack.

  When the recursive function shown in FIG. 33 is entered, first, at step 660, the power pointer powerPointer is set to the first power consumption list element 330 of the power consumption list 224.

  In step 662, the first power consumption list element 330 for which the used flag usedByRecursive = False is searched. If such a power consumption list element 330 is found, control transitions to step 664, and if not found, execution of this program ends.

  In step 664, the power pointer powerPointer is set to the power consumption list element 330 found in step 662.

  In step 666, the used flag usedByRecursive of the power consumption list element 330 pointed to by the power pointer powerPointer is set to True.

  In step 668, the time axis list element 230 corresponding to the same time zone is searched for the time zone of the power consumption list element 330 pointed to by the power pointer powerPointer, and is substituted into the time pointer timePointer which is a variable. As described above, the time zone of one power consumption list element 330 is always included in the time zone of one time axis list element 230. Next, the waste power wastePower, which is a variable indicating the power generated in vain, is the sum of the available power ranges PowerRange of the power axis list element 240 in the time pointer timePointer whose waste flag wasteFlag is True. Then, the available capacity batteryPossibleUse and the used capacity batteryUsed of the power consumption list element 330 pointed to by the power pointer powerPointer are updated according to the following expression.

Usage capacity batteryUsed = Power consumption * Time zone-Waste power wastePower * Time zone Here, when available capacity batteryPossibleUse> used capacity batteryUsed,
Available capacity batteryPossibleUse = Available capacity batteryPossibleUse-Used capacity batteryUsed
And

Otherwise (available capacity batteryPossibleUse ≦ used capacity batteryUsed),
Used capacity batteryUsed = Available capacity batteryPossibleUse
Available capacity batteryPossibleUse = 0
And

  Next, at step 670, the used capacity batteryUsed of the power pointer powerPointer is substituted into the variable reductionAmount. The variable reductionPointer is set in the first power consumption list element 330 of the power consumption list 224 (powerConsumptionList).

  Next, in step 672, it is determined whether or not the storage battery status batteryStatus = CanUse of the power consumption list element 330 indicated by the variable reductionPointer and the used flag usedByRecursive = False. If the determination is affirmative, control transitions to step 674, otherwise it transitions to step 676.

  In step 674, the following update is performed. Thereafter, control proceeds to step 676.

  When the chargeable capacity batteryExtraCharge> variable reductionAmount of the power consumption list element 330 indicated by the variable reductionPointer is updated as follows.

Rechargeable capacity batteryExtraCharge = Rechargeable capacity batteryExtraCharge−reductionAmount
reductionAmount = 0
If not, make the following updates:

reductionAmount = reductionAmount−Chargeable capacity batteryExtraCharge
Chargeable capacity batteryExtraCharge = 0
Available capacity batteryPossibleUse = Available capacity batteryPossibleUse−reductionAmount
In step 676, the variable reductionPointer is set to the next power consumption list element 330 in the list.

  In step 678, it is determined whether or not the processing has been completed up to the end of the power consumption list element 330 as a result of the processing in step 676. If the determination in step 678 is negative, control returns to step 672. If the determination in step 678 is affirmative, it is determined in step 680 whether or not the capacity of the storage battery has been used, or whether or not the storage battery has been allocated in all periods. If either determination is negative, control proceeds to step 682 and calls the battery allocation recursive function again. Thereafter, the control transitions to step 662. If any of the determinations in step 680 are positive, control transitions to step 684.

  In step 684, the used flag usedByRecursive = False of the power consumption list element 330 indicated by the power pointer powerPointer is set. When the processing of step 684 is finished, the execution of this program is finished.

  By executing a program having a control structure shown in FIG. 33 on a computer, an optimum solution for storage battery allocation can be obtained. However, the calculation amount becomes enormous. For this reason, an algorithm with a smaller calculation amount may be used.

  In order to reduce the amount of calculation, for example, power may be supplied from the storage battery in the order of the time period in which the electricity cost is high. As another example, power may be supplied from the storage battery in the order of the time period in which the electricity cost is high and the amount of power used is small. When there is solar power generation, priority may be given to a time period during which power generation by solar power generation is present.

  It is not necessary to change the structure of the above-described program so as to correspond to the time shift. For example, if the user does not like the time shift, it is not necessary to make the operation time shiftable for each device. In this case, it is not necessary to execute Steps 446 to 454 in FIG. Further, the operable time list 304 and the operation type operationType are not required.

  In addition, it is not necessary to correspond this algorithm to electric power sales (for example, sunlight) (house without sunlight). In this case, the evaluation unit price is only the meaning of electricity bill or CO2 emission.

In the home storage battery is not provided, in the computer programs and data structures, parts component associated with the storage battery is not required. For example, in this case, the storage battery adjustment in step 602 in FIG. 26 is not necessary. The storage battery related variables in the power consumption list element 330 shown in FIG. 18 are also unnecessary.

  In addition, there is an upper limit of power that can be used in the distribution board. When the upper limit is exceeded, the distribution board cuts off the power supply, and the power supply to all commodities connected to the distribution board stops. In order to avoid such a case, a variable breakerLimit indicating the upper limit of the distribution board may be provided in the smart meter list element 270 shown in FIG. In this case, in step 458 of FIG. 23 and step 572 of FIG. 25, it is checked for each time zone whether or not the total power consumption (power consumption list 224) exceeds the value of the variable breakerLimit, and the total power consumption Scheduling must be limited so that is less than or equal to the variable breakerLimit. If any option is eventually exceeded, a warning may be attached to the schedule 180, which is the output shown in FIGS.

  There is an upper limit of power that can be used for each switchboard switch. When the upper limit is exceeded, the switch is disconnected. In order to avoid such a case, for example, the switchboard switch list element 280 shown in FIG. 9 may be provided with a variable switchLimit indicating the upper limit of power that can be used by the switch. In this case, normally, switchLimit <breakerLimit and breakerLimit <total of all switchLimits. In this case, it is necessary to calculate a power consumption list 224 (see FIGS. 3, 6, and 18) for each switch. In step 458 of FIG. 23 and step 572 of FIG. 25, it is necessary to confirm from the power consumption (power consumption list 224) that the value of variable switchLimit has not been exceeded. If any option is eventually exceeded, a warning may be issued to the schedule 180, which is the output shown in FIGS.

  Depending on the structure of the house, it may not be clear which outlet is connected to which switch. In such a case, only the variable breakerLimit is used. When the overall power consumption of the smart meter exceeds the value of the variable breakerLimit, the above procedure may be followed. Even if the total power consumption of the smart meter is less than or equal to the value of the variable breakerLimit, a warning that the switch may be dropped if the value of the variable switchLimit of any distribution panel switch is exceeded is shown in FIGS. What is necessary is just to output to the schedule 180 shown.

  The operation of one product may depend on the operation of another product. An example of this dependency relationship is shown in FIG. For example, when watching TV, there is an idea that brighter lighting is easier on the eyes. In other words, there is a relationship that the power consumption of lighting increases when the power of the television is on, and there is a dependency relationship between the power of the television and the lighting. When using a vacuum cleaner, it is desirable to open a window or shutter. If the window and shutter are electrically operated, there is a dependency between the operation of using a vacuum cleaner and the opening / closing operation of the window or shutter. For such a case, an item indicating a product on which the product of the operation list element 300 depends may be added to each of the operation list element 300 (FIG. 11). The dependent product may be provided with a variable indicating in which time zone there is a product that depends on the product. In this case, when calculating the power consumption, the total power consumption is calculated with reference to this dependency.

  The embodiment disclosed herein is merely an example, and the present invention is not limited to the above-described embodiment. The scope of the present invention is indicated by each claim of the claims after taking into account the description of the detailed description of the invention, and all modifications within the meaning and scope equivalent to the wording described therein are included. Including.

100 Energy management environment 102 Electric power company 104 Service 106 Internet 108 Product 110 HEMS
112 Solar panel 114 Storage battery 116 Power conditioner 118 Smart meter 120 Internet GW
122 Product 150 Database 152 Scheduler unit 154 Advice unit 156 Automatic control unit 160 Power company information 162 Domestic power generation information 164 Climate 166 Product 168 User priority 170 Target 200 Power generation information organization unit 202 Product information organization unit 204 Schedule algorithm unit 210 Power generation organization Information 212 Product arrangement information 220 Time axis list 224 Power consumption list 230 Time axis list element 232 Power axis list 240 Power axis list element 250 Smart meter list 270 Smart meter list element 272 Distribution panel switch list 280 Distribution panel switch list element 282 Item list 290 Item list element 292 Action list 300 Action list element 302 Action step list 304 Actionable time list 310 Action step list element 320 Action Possible time list element 330 power consumption list element 620 using power line

Claims (6)

Dividing a predetermined period into a plurality of time zones, the available power in each time zone, and time zone information for identifying the time between zones, as time zone available power listed with evaluation values of the respective power in each time slot Power information storage means for storing;
Regarding the one or more electrical products that operate using electric power, The energy management method in an energy management system comprising a product-information storage means for storing product information including the time and power consumption required for the operation,
The one or more electrical products includes an operable electrical product on the operating mode of the multiple,
Before Symbol product information, including a list of actions that lists information about the operation mode of the electric products as an element,
Each of the elements of the action list is
The priority of the operation mode corresponding to the element,
Operation step time information that defines, for each time zone, a step in which the product operates in the operation mode corresponding to the element,
The operation step time information is:
Operation time information for specifying an operation time corresponding to the operation step time information;
And a information related to the power consumption which the product is consumed by the operation of the operation time information of the operation step time information,
Setting the target priority to the highest priority,
For each time zone, with respect to electrical products, among the elements of the corresponding action list, a priority or priorities that match the target priority, the lowest priority among the elements of the action list A first calculation step of calculating power consumption using information on power consumption of elements having and calculating a total for each time period;
The total of the power consumption calculated for each time zone by the first calculation step, the time zone information of the time zone use power list stored in the power information storage means, the evaluation value, and the usage A second calculation step of calculating a sum of the evaluation values in the predetermined period based on possible power ;
Comparing the sum of the evaluation values calculated in the second calculation step with a given target;
In the step of comparing, determining the operation schedule of the electrical product before Kifuku number according elements of the action list used to compute the sum of the evaluation value when the their If the target is achieved, before SL and performing target a set of pre-Symbol target priority if it is not achieved to a lower priority value of the first calculation step after processing again, energy management methods. The elements of the action list further includes the type of operation of the operation mode corresponding to the element type of the operation of the operation mode, fixed time period of operation is fixed, and, the operation time of the predetermined Shiftable time that can be shifted in a time width of
Said elements operating list In addition, when the type of operation of the operation mode is the shiftable time comprises one or a plurality of the operation time information to the operation of the corresponding electric products is allowed,
The first calculation step includes:
For each time zone, with respect to electrical products, for those types of the operation of the corresponding action list is a fixed time, the elements of the action list, the priority or priorities that match the target priority A fixed time calculation step of calculating power consumption using information on the power consumption of the element having the lowest priority among the elements of the operation list, and calculating the total for each time zone;
For each time zone, with respect to electrical products, for those types of the operation of the corresponding operation list is shiftable time, among the elements of the action list, priority or priorities that match the target priority And using the information on the power consumption of the element having the lowest priority among the elements of the operation list, the operation time with the lowest power consumption within the time specified by the operable time information is obtained. A shiftable time calculation step for determining and calculating the total power consumption for each time period;
A summation step of summing the sum of the power consumption calculated in the fixed time calculation step and the sum of the power consumption calculated in the shiftable time calculation step for each time period. Item 2. The energy management method according to Item 1. The hourly power usage list further includes a generator type for each power,
The type represented by the generator type can be classified into power purchase and power sales,
The said 2nd calculation step treats the said evaluation value as expense or profit according to whether the said generator kind shows the purchase of electric power, or shows the sale of electric power, The claim 1 or Claim characterized by the above-mentioned. 2. The energy management method according to 2. The type of generator represented by the generator type further includes a storage battery,
The operation period of the storage battery is divided into a power storage period and a power supply period,
4. The energy management according to claim 3 , wherein, in the second calculation step, a charge amount of the storage battery is preferentially allocated to power supply to power consumption within a range of the total power consumption during the power supply period. 5. Method. In the second calculation step, the amount of charge of the storage battery is allocated to power supply for power consumption so that the profit is maximized within the range of the total power consumption during the power supply period. Item 5. The energy management method according to Item 4 . Dividing a predetermined period into a plurality of time zones, the available power in each time zone, and time zone information for identifying the time between zones, as time zone available power listed with evaluation values of the respective power in each time slot Power information storage means for storing;
The energy management system comprising a product-information storage means for storing product information including regarding one or multiple electrical products that operate using electric power, the time and power consumption required for the operation,
The one or more electrical products includes an operable electrical product on the operating mode of the multiple,
Before Symbol product information, including a list of actions that lists information about the operation mode of the electric products as an element,
Each of the elements of the action list is
The priority of the operation mode corresponding to the element,
Operation step time information that defines, for each time zone, a step in which the product operates in the operation mode corresponding to the element,
The operation step time information is:
Operation time information for specifying an operation time corresponding to the operation step time information;
And a information related to the power consumption which the product is consumed by the operation of the operation time information of the operation step time information,
The energy management system includes:
A target priority setting means for setting the target priority to the highest priority,
For each time zone, with respect to electrical products, among the elements of the corresponding action list, a priority or priorities that match the target priority, the lowest priority among the elements of the action list A first calculation means for calculating power consumption using information on power consumption of elements having and calculating a total for each time zone;
The total of the power consumption calculated for each time zone by the first calculation means, the time zone information of the time zone use power list stored in the power information storage means, the evaluation value, and the usage A second calculating means for calculating a sum of the evaluation values in the predetermined period based on possible power ;
Comparing means for comparing the sum of the evaluation values calculated by the second calculating means with a given target;
Comparison of the results of said comparing means, if said been target is achieved, determining the operation schedule of the electrical product before Kifuku number according elements of the action list used to compute the sum of the evaluation value at that time An operation schedule determination means for
In the comparison by the comparison means, if the target is not achieved, the target priority is set to a lower priority value , and the processing by the first calculation means, the second calculation means, and the comparison means is performed again. An energy management system including a repeat control means for executing.

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