Operation planning device, energy resource control system, and operation planning method

Abstract

To provide an operation plan creation device and the like capable of reducing energy usage.SOLUTION: An operation plan creation device 10 is an operation plan creation device for creating an operation plan of an energy resource 30 installed at a user. The operation plan creation device includes: a factor acquisition unit 11 that acquires electricity conversion factors for converting electricity usage into energy usage, which are electricity conversion factors whose values may vary over a given period; a measured data acquisition unit 13 that acquires measured data relevant to the electricity of the energy resources 30; a prediction unit 14 that calculates prediction data of the electricity received by the consumer based on measured data; and an operation plan creation unit 15 that creates an operation plan based on the electricity conversion factors and prediction data.SELECTED DRAWING: Figure 2

Description

Technical Field

[0001] The present invention relates to an operation plan creation device for creating an operation plan of energy resources installed in a consumer, an energy resource control system, and an operation plan creation method.

Background Art

[0002] Patent Document 1 discloses a system for creating an operation plan of energy resources such as heat source equipment and generators.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] By the way, in recent years, due to environmental considerations, it has been required to reduce the energy consumption of consumers, and it is desired to create an operation plan of energy resources capable of reducing the energy consumption.

[0005] Therefore, the present invention provides an operation plan creation device, an energy resource control system, and an operation plan creation method capable of reducing energy consumption.

Means for Solving the Problems

[0006] An operation plan creation device according to one aspect of the present invention is an operation plan creation device for creating an operation plan for an energy resource installed at a customer, comprising: a first acquisition unit that acquires an electrical conversion coefficient for converting electricity consumption into energy consumption, the value of which can fluctuate at predetermined intervals; a second acquisition unit that acquires measurement data relating to the power of the energy resource; a prediction unit that calculates prediction data of the power to be received by the customer based on the measurement data; and an operation plan creation unit that creates the operation plan based on the electrical conversion coefficient and the prediction data.

[0007] An energy resource control system according to one aspect of the present invention comprises the above-mentioned operation plan creation device and a controller installed at a customer, wherein the controller has a fourth acquisition unit that acquires an operation plan created by the operation plan creation device and a control unit that controls the energy resources installed at the customer based on the operation plan.

[0008] An operation plan creation method according to one aspect of the present invention is an operation plan creation method for creating an operation plan for an energy resource installed at a consumer, comprising: obtaining an electrical conversion coefficient for converting electricity consumption into energy consumption, the electrical conversion coefficient whose value can fluctuate at predetermined intervals; obtaining measurement data relating to the power of the energy resource; calculating predicted data of the power to be received by the consumer based on the measurement data; and creating the operation plan based on the electrical conversion coefficient and the predicted data. [Effects of the Invention]

[0009] According to one aspect of the present invention, it is possible to realize an operation plan creation device that can reduce energy consumption. [Brief explanation of the drawing]

[0010] [Figure 1] Figure 1 is a diagram illustrating the method for calculating energy consumption. [Figure 2]Figure 2 is a block diagram showing the functional configuration of an energy resource control system according to an embodiment. [Figure 3] Figure 3 is a diagram illustrating the coefficients and unit prices related to the embodiment. [Figure 4] Figure 4 is a sequence diagram showing the operation of the energy resource control system according to the embodiment. [Figure 5] Figure 5 is a flowchart showing the operation of the operation plan creation device according to the embodiment. [Figure 6A] Figure 6A is the first figure illustrating the shift in demand. [Figure 6B] Figure 6B is the second figure illustrating the shift in demand. [Figure 6C] Figure 6C is the third figure illustrating the shift in demand. [Figure 6D] Figure 6D is Figure 4, which illustrates the shift in demand. [Figure 7] Figure 7 is a block diagram showing the functional configuration of an energy resource control system according to a modified example 1 of the embodiment. [Figure 8] Figure 8 is a block diagram showing the functional configuration of an energy resource control system according to a modified example 2 of the embodiment. [Figure 9] Figure 9 is a block diagram showing the functional configuration of an energy resource control system according to a modified example 3 of the embodiment. [Modes for carrying out the invention]

[0011] (Background leading to the present invention) Prior to describing the present invention, the background leading to this invention will be explained with reference to Figure 1. Figure 1 is a diagram illustrating the method for calculating energy consumption (Source: Ministry of Economy, Trade and Industry website, accessed March 24, 2022, Internet).<URL:https: / / www.meti.go.jp / shingikai / enecho / shoene_shinene / sho_energy / pdf / 036_01_00.pdf> Figure 1 shows an example where the optimization coefficient fluctuates monthly. Note that the fluctuation period of the optimization coefficient is not limited to monthly.

[0012] In Japan, the current "Act on the Rationalization of Energy Use, etc." (the so-called Energy Conservation Act) uses conversion factors to convert electricity consumption into energy consumption. These conversion factors are fixed values ​​for daytime, electricity demand leveling periods, and nighttime. With the amendment of the Energy Conservation Act (the "Act on the Rationalization of Energy Use and Transition to Non-Fossil Energy, etc." scheduled to be implemented in FY2023), for example, the "average coefficient for all power sources" shown in Figure 1 may be used for electricity received from the commercial grid, which is a fixed average value for all power sources throughout the year. In addition, although not shown in Figure 1, a value smaller than the average coefficient for all power sources (hereinafter referred to as the "renewable energy coefficient for private solar power generation equipment") may be used for the power generated by private solar power generation equipment. Furthermore, with the amendment of the Energy Conservation Act, an electricity conversion factor for converting electricity consumption into energy consumption will be introduced, whose value may fluctuate at predetermined intervals. The newly introduced electricity conversion factor may fluctuate dynamically depending on the supply side situation. This electricity conversion factor is determined by public institutions based on the supply side's situation and is published before the target date for creating the operation plan (for example, two days before the target date). This electricity conversion factor is also called the optimization factor. With the revision of the Energy Conservation Act, in addition to conventional energy consumption, businesses will be evaluated more favorably if the energy consumption calculated using this newly introduced electricity conversion factor (the total energy consumption over a certain period) is lower. Reducing these energy consumption amounts contributes to reducing the environmental burden.

[0013] Figure 1 shows that both specified businesses A and B (businesses whose total energy consumption (crude oil equivalent) is 1500 kl / year or more) have the same total electricity consumption of 1200 kWh for one year (January to December), but specified business A increases its electricity consumption in months with low optimization coefficients, while specified business B maintains a constant electricity consumption each month regardless of the optimization coefficient.

[0014] In Figure 1, although the total electricity consumption of specified businesses A and B is the same, the electricity consumption (i.e., energy consumption) calculated using the optimization coefficient is lower for specified business A. Specifically, the energy consumption of specified business A is 9500 MJ, while the energy consumption of specified business B is 10600 MJ. In this case, specified business A is evaluated more favorably under the Energy Conservation Act.

[0015] Therefore, it is desirable to control energy resources installed at consumer sites in accordance with fluctuating electricity conversion factors to minimize energy consumption. Patent Document 1 does not disclose how to control energy resources while considering fluctuating electricity conversion factors.

[0016] Therefore, the inventors of this application have diligently studied an operation planning device, an energy resource control system, and an operation planning method that can reduce energy consumption when fluctuating electrical conversion coefficients are used, and have devised the following operation planning device, energy resource control system, and operation planning method that can reduce energy consumption.

[0017] The embodiments will be described in detail below with reference to the drawings.

[0018] The embodiments described below are all comprehensive or specific examples. The numerical values, shapes, components, arrangement and connection configurations of components, steps, and the order of steps shown in the following embodiments are examples only and are not intended to limit the present invention. Furthermore, among the components in the following embodiments, those not described in an independent claim are described as optional components.

[0019] Furthermore, each figure is a schematic diagram and not necessarily a strictly accurate representation. Therefore, for example, the scale may not necessarily match in each figure. Also, in each figure, substantially identical components are given the same reference numerals, and redundant explanations are omitted or simplified.

[0020] Furthermore, in this specification, terms indicating relationships between elements such as agreement, as well as numerical values ​​and numerical ranges, are not expressions that represent only strict meanings, but also expressions that include substantially equivalent ranges, for example, differences of a few percent (for example, about 10%).

[0021] (Embodiment) The operation plan creation device and other components according to this embodiment will be described below with reference to Figures 2 to 6D.

[0022] [1-1. Configuration of the Energy Resource Control System] First, the configuration of the energy resource control system according to this embodiment will be described with reference to Figures 2 and 3. Figure 2 is a block diagram showing the functional configuration of the energy resource control system 1 according to this embodiment.

[0023] As shown in Figure 2, the energy resource control system 1 comprises an operation plan creation device 10 and an energy resource-side device 100.

[0024] The operation plan creation device 10 creates an operation plan for energy resources installed at the customer's site. Energy resources are distributed energy resources introduced at the customer's site and include, but are not limited to, electric vehicles equipped with storage batteries (on-board storage batteries) or stationary storage batteries that can be charged or discharged, power generation equipment such as solar power generation equipment and fuel cells, or load equipment such as heat pump water heaters. Electric vehicles refer to vehicles that can run on electricity as their power source and include vehicles powered solely by electricity (so-called electric vehicles: EVs), vehicles powered by electricity and other energy sources (e.g., fuels such as gasoline) (so-called hybrid vehicles: HVs), and hybrid vehicles equipped with an external charging function (so-called plug-in hybrid vehicles: PHVs). Furthermore, the customer may be a general customer (a general household), or a factory or facility (e.g., a hospital, a school, etc.).

[0025] The operation plan creation device 10 comprises a coefficient acquisition unit 11, a unit price acquisition unit 12, a measurement data acquisition unit 13, a prediction unit 14, and an operation plan creation unit 15. The operation plan creation device 10 is implemented by a computer or smartphone including a processor, memory, etc. Specifically, the operation plan creation device 10 realizes each functional configuration by the processor operating according to a program stored in memory. The operation plan creation device 10 is implemented by, for example, a server device, but may also be implemented by information terminals located at each customer.

[0026] The coefficient acquisition unit 11 acquires at least dynamically fluctuating electricity conversion coefficients from an external system (e.g., an external server device). The electricity conversion coefficients are coefficients set and distributed at predetermined intervals or time intervals (by time zone). The predetermined interval or time for setting and distribution does not have to coincide with the predetermined interval or time for changing the values. In this embodiment, the coefficient acquisition unit 11 acquires the electricity conversion coefficient and the primary energy conversion coefficient. The coefficient acquisition unit 11 functions as a first acquisition unit. Here, the predetermined interval means, for example, a time longer than one day, and the predetermined time means, for example, a relatively short time of one day or less. For example, one day shown in "Setting Cycle" in Figure 3 is an example of a predetermined time, and one month is an example of a predetermined interval.

[0027] The unit price acquisition unit 12 acquires electricity rates and primary energy rates from an external system (for example, an external server device). For example, the unit price acquisition unit 12 acquires electricity rates from an external system managed by a retail electricity provider. The unit price acquisition unit 12 is an example of a third acquisition unit. Note that the operation plan creation device 10 does not necessarily have to be equipped with a unit price acquisition unit 12.

[0028] The measurement data acquisition unit 13 acquires measurement data related to the power of the energy resource. If the energy resource is a device that can be charged and discharged, the measurement data acquisition unit 13 acquires the amount of charge / discharge of the energy resource, the current charge amount, and the available capacity as measurement data. If the energy resource is a power generation facility, it acquires the amount of power generated as measurement data. If the energy resource is a load device, it acquires the amount of power consumed as measurement data. If there are multiple energy resources, the measurement data acquisition unit 13 acquires measurement data for each of the multiple energy resources.

[0029] Furthermore, the measurement data acquisition unit 13 may acquire measurement data from, for example, an electricity meter installed at the customer's premises (for example, an electricity meter with communication capabilities (a so-called smart meter)). This meter may be a gas meter that measures gas, or a meter that collects and transmits measurement data measured by other meters. The measurement data acquisition unit 13 may also acquire data relating to the actual electricity demand at the customer as measurement data. For example, the measurement data acquisition unit 13 may acquire data on the electricity consumed at the customer, data on the electricity received (purchased) by the customer, and the actual controlled equipment amount (actual controlled power amount) that was controlled against the created operation plan as measurement data. In addition, the measurement data acquisition unit 13 may acquire primary energy usage, energy resource operation schedules, etc., as measurement data. The measurement data acquisition unit 13 is an example of a second acquisition unit.

[0030] The prediction unit 14 calculates predicted data for the electricity that consumers will receive based on the measurement data. For example, the prediction unit 14 predicts the amount of power generated by power generation equipment and the amount of electricity used for predetermined time intervals (for example, 48 intervals of 30 minutes) on the target day for which the operation plan is created, and calculates prediction data from the predicted amount of power generated and the amount of electricity used. For each predetermined time interval, the prediction unit 14 calculates the amount of electricity demand, which is the difference between the amount of power generated and the amount of electricity used during that time (use - amount of power generated). The amount of electricity demand is set to max(use - amount of power generated, 0). The prediction data includes the amount of electricity demand for each predetermined time interval. The amount of electricity demand is a predicted value of the amount of electricity that consumers need to receive, and the prediction unit 14 may directly predict the amount of electricity demand.

[0031] Note that the method for predicting the power generation amount in the prediction unit 14 is not particularly limited. However, the power generation amount in the time period or date and time for which the power generation amount is predicted may be predicted based on the weather forecast for that time period or date and time, or based on the data of the past power generation amount when at least one of the location, temperature, season, weather, etc. matches or is similar. Also, the method for predicting the usage amount in the prediction unit 14 is not particularly limited. However, the usage amount in the time period or date and time for which the usage amount is predicted may be predicted based on the data of the past usage amount when at least one of the location, temperature, season, weather, etc. matches or is similar in that time period or date and time.

[0032] The operation plan creation unit 15 creates an operation plan for the energy resource i based on at least the electric conversion coefficient and the prediction data. The operation plan for the charge / dischargeable energy resource includes at least one of the operation mode of the energy resource and the charge / discharge power / charge / discharge energy amount at a predetermined time t. The operation plan creation unit 15 may create an operation plan so that, for example, the following (Equation 1) is minimized.

[0033] Minimize Σ total power source average coefficient t ×(required power consumption t −Σ equipment control amount it ) + Σ self-generated renewable energy coefficient t × min(usage amount t −Σ equipment control amount it , power generation amount t ) + Σ electric conversion coefficient t ×(usage amount t −Σ equipment control amount it ) ··· (Equation 1)

[0034] Constraint condition Σ equipment control amount it ≦ rated output power i Σ equipment control amount it ≧ rated input power i Σ equipment control amount it ≦ required power consumption t

[0035] (Equation 1) is "Σ total power source average coefficientt ×(demand power amount t -Σ Instrument control quantity it ) and "Σ Self-generated renewable energy coefficient" t ×min(Usage amount t -Σ Instrument control quantity it , power generation t ) and "Σ Electrical Conversion Factor" t ×(Amount used t -Σ Instrument control quantity it This indicates minimizing the sum of ) and ). Also, "min(usage amount t -Σ Instrument control quantity it , power generation t )" is "Usage amount t -Σ Instrument control quantity it " and "Power generation t This indicates that the smallest value among them will be used. The same applies to (Equation 2) and subsequent equations.

[0036] The equipment control quantity indicates the amount of energy resource control, with a positive value indicating a decrease in the amount of electricity demanded. For example, in the case of an electric vehicle or a stationary battery, the equipment control quantity indicates the discharge power / discharge amount or the charge power / charge amount. The operation plan creation unit 15 solves the optimization problem (Equation 1) to determine the equipment control quantity for a predetermined time period such that the sum of the values ​​obtained by multiplying the electrical conversion coefficient by (amount of electricity demanded - equipment control quantity) (energy consumption) for a predetermined period (for example, one day) is minimized. Then, the operation plan creation unit 15 creates an operation plan according to the determined equipment control quantity.

[0037] In the following, an example will be described in which the operation plan creation unit 15 creates an operation plan based on the primary energy conversion factor, electricity rate, and primary energy rate, in addition to the electricity conversion factor and forecast data. For simplification, the average coefficient for all power sources and the self-generated renewable energy coefficient will be omitted from the constraints and objective function from (Equation 2) onward. The operation plan creation unit 15 may, for example, calculate a first value based on the electricity conversion factor, primary energy conversion factor, primary energy rate, and forecast data, calculate a second value based on the electricity rate and forecast data, and then create an operation plan based on the sum of the calculated first and second values. The operation plan creation unit 15 may, for example, create an operation plan using the following (Equation 2).

[0038] Minimize w1 × Σ Electrical conversion factor t ×(Amount used t -Σ Instrument control quantity it ) × Primary energy conversion factor t × Primary energy unit price t +w2×Σ(demand power amount t -Σ Instrument control quantity it ) × Electricity rate per unit t ...(Formula 2)

[0039] The first term of (Equation 2) represents the price obtained by converting energy consumption into crude oil prices, and is a price corresponding to a dynamically fluctuating electricity conversion factor (an example of the first value). The second term of (Equation 2) represents the price at which consumers purchase electricity to cover any shortfall from their own power generation, etc. (an example of the second value), and is a price corresponding to a dynamically fluctuating electricity rate. The operation plan creation unit 15 uses (Equation 2) to create an operation plan corresponding to the equipment control amount at predetermined time intervals that minimizes energy consumption and electricity charges. Note that w1 and w2 are weighting variables and are set in advance. The weighting variables w1 and w2 may be dynamically changed from their pre-set values.

[0040] Here, the coefficients and unit prices described above will be explained with reference to Figure 3. Figure 3 is a diagram illustrating each coefficient and unit price related to this embodiment. Figure 3 is a table that associates a variable, an overview of the variable, an example of a predetermined time for the variable, a setting period, and an example of a method for acquiring the variable. The setting period is the time interval at which published values, various prices, etc., are set. Note that the information shown in Figure 3 is merely an example and may change due to revisions to the Energy Conservation Act, changes in market rules, etc. Figure 3 also illustrates the coefficients and prices used in each modified example of the embodiment. The coefficients and prices used in each modified example will be explained in the corresponding modified example.

[0041] The electricity conversion factor (MJ / kWh) is a coefficient used to calculate energy consumption (MJ) from electricity consumption (kWh). The electricity conversion factor is determined by public institutions, for example, on an hourly basis (e.g., every hour) or monthly basis (e.g., every month), and is a publicly announced value. The electricity conversion factor is also sometimes referred to as the primary energy conversion factor, heat conversion factor, or conversion factor.

[0042] The electricity conversion factor is used, for example, a renewable energy coefficient (a smaller setting than the thermal power average coefficient) during renewable energy output control, the thermal power average coefficient during other times, and a weighted coefficient of the thermal power average (a larger setting than the thermal power average coefficient, obtained by multiplying the thermal power average coefficient by a factor) during periods of tight supply and demand, but is not limited to these. Renewable energy output control refers to the control implemented by general transmission and distribution companies, etc., to limit power generation from renewable energy sources so that the amount of power generated does not exceed the amount of demand, or so as not to exceed the upper limit of the grid capacity (capacity of transmission lines and transformers).

[0043] The primary energy conversion coefficient (kl / GJ) is a primary energy conversion (crude oil conversion coefficient) used to calculate the primary energy equivalent (crude oil equivalent) of energy consumption (GJ). An example of the primary energy conversion coefficient is 0.0258 (kl / GJ).

[0044] The primary energy unit price (yen / barrel) is the crude oil price (crude oil unit price), which is obtained from the crude oil market in five fractional intervals (every five minutes).

[0045] The electricity rate (yen / kWh) is a rate set by retail electricity providers, etc., and is set, for example, every 30 minutes. The electricity rate is a rate that corresponds to the market price (market rate) in the wholesale electricity trading market at JEPX (Japan Electric Power Exchange), and is notified, for example, by retail electricity providers. The market price is also called the JEPX price. The wholesale electricity trading market may be, for example, a one-day-ahead market (spot market) or a same-day market (hourly-ahead market).

[0046] As shown in Figure 3, the specified time varies depending on the type of coefficient or unit price. In this specification, "specified time" refers to the period determined according to the type of coefficient or unit price.

[0047] [1-2. Operation of the Energy Resource Control System] Next, the operation of the energy resource control system 1 configured as described above will be explained with reference to Figures 4 and 5. Figure 4 is a sequence diagram showing the operation of the energy resource control system 1 according to this embodiment. In Figure 4, an example is described in which the operation plan creation device 10 is implemented by a server device and creates an operation plan for the customer. Furthermore, an example is described in which the energy resource side device 100 (customer side device) has a controller 20 and an energy resource 30.

[0048] The controller 20 is an information terminal capable of communicating with the operation plan creation device 10 and the energy resources 30, and controlling the operation of the energy resources 30. The controller 20 has an acquisition unit (an example of a fourth acquisition unit) that acquires the operation plan created by the operation plan creation device 10, and a control unit that controls the energy resources 30 installed at the customer's site based on the operation plan. The controller 20 is implemented by a computer or smartphone including a processor and memory. Specifically, the controller 20 realizes each functional configuration by having the processor operate according to a program stored in memory.

[0049] As shown in Figure 4, the operation plan creation device 10 acquires the electricity conversion coefficient and primary energy conversion coefficient, the electricity rate and primary energy rate, and measurement data from the external system 200 (S11-S13). The external system 200 includes at least one server device for managing the electricity conversion coefficient, a server device for managing the electricity rate, and a server device for managing measurement data. The operation plan creation device 10 may also acquire the measurement data from the controller 20.

[0050] Next, the operation plan creation device 10 creates an operation plan for the energy resource 30 based on the acquired electricity conversion coefficient, primary energy conversion coefficient, electricity rate, primary energy rate, and measurement data (S21). The operation plan creation device 10 creates the operation plan using, for example, the above (Equation 2).

[0051] Furthermore, if only the electrical conversion coefficient and measurement data are acquired in steps S11 to S13, or if the weight w2 in (Equation 2) is zero, the operation plan creation device 10 calculates the equipment control amount (equipment control amount per predetermined time) that minimizes the value of (Equation 1) above, and creates an operation plan according to the calculated equipment control amount. Also, if the customer is not a specified business operator, the operation plan creation device 10 calculates the equipment control amount (equipment control amount per predetermined time) that minimizes the electricity charge by setting w1 to 0, and creates an operation plan according to the calculated equipment control amount.

[0052] Next, the operation plan creation device 10 transmits the created operation plan to the controller 20, and the controller 20 acquires the operation plan (S22). Based on the acquired operation plan, the controller 20 generates a control command to control the energy resource 30 and outputs it to the energy resource 30 (S31). The controller 20 may also generate the operation plan received from the operation plan creation device 10 as a control command. The controller 20 also generates a control command that causes at least one of a demand increase (e.g., charging, consumption, etc.) and a demand decrease (e.g., discharging, power generation, etc.) based on the operation plan. The control command includes, for example, the operation mode. The control command also includes, for example, the operation mode and power / energy amount for predetermined time intervals, if the energy resource 30 is an electric vehicle or a stationary battery. Power / energy amount includes at least one of charging power / charge amount and discharge power / discharge amount. Power / energy amount is calculated from (Equation 1). On the other hand, the operation mode may specify a discharge mode, charging mode, standby mode, stop mode, etc. Furthermore, (Equation 1) may be transformed into an optimization problem that directly determines the operating mode, or the power / energy obtained in (Equation 1) may be converted to an operating mode. In addition, if a consumer has multiple energy resources 30 and specifies power / energy, the controller 20 may allocate at least one of the charging power / charging amount and the discharging power / discharging amount to the multiple energy resources 30 in order to achieve at least one of the charging power / charging amount and the discharging power / discharging amount included in the operating plan.

[0053] Figure 5 is a flowchart illustrating the operation of the operation plan creation device 10 according to this embodiment. The operation shown in Figure 5 is performed, for example, after the electricity conversion coefficient, electricity rate unit price, etc., have been determined. Furthermore, the operation shown in Figure 5 is performed, for example, by the day before the target day for which the operation plan is to be created. In the following, the target day for which the operation plan is to be created will also be simply referred to as the target day.

[0054] As shown in Figure 5, the coefficient acquisition unit 11 of the operation plan creation device 10 acquires the electrical conversion coefficient and primary energy conversion coefficient for predetermined time intervals on the target day from the external system 200 (S101). The acquisition cycles for the electrical conversion coefficient and primary energy conversion coefficient may be the same or different. The coefficient acquisition unit 11 outputs the acquired electrical conversion coefficient and primary energy conversion coefficient to the operation plan creation unit 15. Step S101 corresponds to step S11 shown in Figure 4.

[0055] Next, the unit price acquisition unit 12 of the operation plan creation device 10 acquires the electricity rate unit price and primary energy rate unit price for predetermined time intervals on the target day from the external system 200 (S102). The acquisition cycles for the electricity rate unit price and primary energy rate unit price may be the same or different. The unit price acquisition unit 12 outputs the acquired electricity rate unit price and primary energy rate unit price to the operation plan creation unit 15. Step S102 corresponds to step S12 shown in Figure 4.

[0056] Next, the measurement data acquisition unit 13 of the operation plan creation device 10 acquires past measurement data of the energy resources 30 (S103). The measurement cycle and acquisition cycle of each data may be the same or different. The measurement data acquisition unit 13 outputs the acquired measurement data to the prediction unit 14 and the operation plan creation unit 15. Step S103 corresponds to step S13 shown in Figure 4.

[0057] In steps S101 to S103, it is not necessary to acquire all of the following: the electricity conversion factor, the primary energy conversion factor, the electricity rate, the primary energy rate, and the measurement data. Only the data that is updated according to the publication timing of each factor and each rate, and the measurement timing of the measurement data, needs to be acquired.

[0058] Next, the prediction unit 14 of the operation plan creation device 10 predicts the amount of power generated and the amount of electricity used by the power generation equipment on the target day based on the measurement data (S104). The prediction unit 14 predicts the amount of power generated for predetermined time intervals on the target day based on, for example, weather forecasts or past data on the amount of power generated by the power generation equipment, and predicts the amount of electricity used for predetermined time intervals on the target day based on past data on the amount of electricity used. The prediction unit 14 outputs the predicted amount of power generated and the amount of electricity used to the operation plan creation unit 15. The prediction cycle for the amount of power generated and the prediction cycle for the amount of electricity used may be the same or different. The method for predicting the amount of power generated and the amount of electricity used is not particularly limited, and any known method may be used.

[0059] Furthermore, the prediction unit 14 may predict the controllable amount of energy resource 30 (e.g., chargeable amount, dischargeable amount, etc.) for each predetermined hour on the target day. The measurement data includes data showing the past controllable amount of energy resource 30, and the prediction unit 14 may predict the controllable amount of energy resource 30 based on this data. The prediction unit 14 outputs the predicted controllable amount to the operation plan creation unit 15. Note that the method for predicting the controllable amount is not particularly limited, and any known method may be used.

[0060] Next, the operation plan creation unit 15 of the operation plan creation device 10 creates an operation plan for the energy resource 30 based on the electricity conversion coefficient, the primary energy conversion coefficient, the electricity rate unit price, the primary energy unit price, and predicted data of power generation and consumption (information based on measurement data) (S105). The operation plan creation device 10 calculates the equipment control amount (equipment control amount for a predetermined time interval) that minimizes the value of (Equation 2) above, and creates an operation plan according to the calculated equipment control amount. For example, the operation plan creation device 10 creates an operation plan according to the equipment control amount for 48 30-minute intervals. Steps S104 and S105 correspond to step S21 shown in Figure 4. The operation plan creation unit 15 may also create an operation plan for the energy resource 30 using the measurement data acquired by the measurement data acquisition unit 13. For example, if the controllable amount of the energy resource 30 becomes 0, the operation plan creation unit 15 may recreate the operation plan at a shorter interval than the normal creation cycle.

[0061] Next, the operation plan creation unit 15 transmits the created operation plan to the controller 20 (S106). The operation plan creation unit 15 may also transmit the created operation plan to at least one of the retail electricity provider (an example of a first provider) and the specified wholesale supplier (aggregator) (an example of a second provider). The operation plan creation unit 15 may also transmit the actual controlled power amount of the energy resource 30 to at least one of the retail electricity provider and the specified wholesale supplier, either in place of the operation plan or together with the operation plan. Step S106 corresponds to step S22 shown in Figure 4. The operation plan transmitted by the operation plan creation unit 15 to the controller 20 may include information on the planning unit of the operation plan creation unit 15, or, if the same operation plan is consecutive, it may include information that combines the operation plan and its duration. The operation plan creation unit 15 may also choose not to transmit the operation plan to the controller 20 if there are no changes to the created operation plan.

[0062] A specified wholesale supplier is a business that conducts specified wholesale supply business (aggregation), and provides energy services such as virtual power plants (VPPs) and demand response (DR) by integrating and controlling energy resources on the customer side (including power generation facilities, energy storage facilities, and demand facilities) and distributed energy resources.

[0063] Furthermore, the acquisition process shown in steps S101 to S103 and the operation plan creation process shown in steps S104 to S106 are not necessarily performed consecutively. The acquisition process and the operation plan creation process may be executed at different times.

[0064] [1-3. Demand shift and operational plan] Figures 6A to 6D are diagrams illustrating demand shifts. The first axis (left axis) in Figures 6A to 6D shows the electricity conversion factor (MJ / kWh), and the second axis (right axis) shows the electricity rate (yen / kWh). Figures 6A to 6D show the case where the electricity conversion factor fluctuates over time. Also, the times t1-t2 in Figure 6A, t3-t4 in Figure 6B, and t5-t6 in Figure 6C represent daytime hours, the times t7-t8 in Figure 6D represent evening hours, before these times represent morning or daytime hours, and after these times represent evening or nighttime hours.

[0065] Figure 6A shows the daily fluctuations in the electricity conversion factor and electricity rate when small values ​​are set for the daytime electricity conversion factor and electricity rate, and large values ​​are set for the evening and nighttime electricity conversion factor and electricity rate. Setting the electricity conversion factor and electricity rate as shown in Figure 6A has the effect of increasing the amount of electricity used during the daytime when the supply increases due to solar power generation, and decreasing the amount of electricity used at night when the demand for electricity increases.

[0066] In the case of Figure 6A, the operation plan creation unit 15 determines the equipment control amount to shift demand to time periods when the electricity conversion coefficient and electricity rate are low. That is, the operation plan creation unit 15 determines the equipment control amount to increase electricity consumption during daytime hours ("Demand Increase Control" in the figure) and decrease electricity consumption in particular during evening and nighttime hours ("Demand Decrease Control" in the figure). For example, the operation plan creation unit 15 will create an operation plan to increase the amount of electricity purchased during that time period (time period t1 to t2) (i.e., increase the equipment control amount in the upward direction) and decrease the amount of electricity purchased in particular during the time period after time t2 (i.e., increase the equipment control amount in the downward direction).

[0067] For example, when the operation plan creation unit 15 creates an operation plan using (Equation 1) or (Equation 2), the operation plan is created to increase the amount of electricity purchased (i.e., increase the amount of equipment control in the upward direction) particularly during the time period from t1 to t2, and to decrease the amount of electricity purchased (i.e., increase the amount of equipment control in the downward direction) particularly during the time period from t2 onward.

[0068] Figure 6B shows the daily fluctuations in the electricity conversion coefficient and electricity rate when a small value is set for the daytime and a large value for the evening / nighttime. The electricity rate is assumed to be constant throughout the day.

[0069] In the case of Figure 6B, the operation plan creation unit 15 determines the equipment control amount to shift demand to time periods when the electricity conversion coefficient and electricity rate are low. That is, the operation plan creation unit 15 determines the equipment control amount to increase electricity consumption during daytime hours ("Demand Increase Control" in the figure) and decrease electricity consumption during evening and nighttime hours ("Demand Decrease Control" in the figure). For example, the operation plan creation unit 15 will create an operation plan to increase the amount of electricity purchased during that time period (time t3 to t4) (i.e., increase the equipment control amount in the upward direction) and decrease the amount of electricity purchased outside of that time period, especially in the evening and nighttime (i.e., increase the equipment control amount in the downward direction).

[0070] For example, when the operation plan creation unit 15 creates an operation plan using (Equation 1) or (Equation 2), the operation plan is created to increase the amount of electricity purchased (i.e., increase the amount of equipment control in the upward direction) during the time period from t3 to t4, and to decrease the amount of electricity purchased (i.e., increase the amount of equipment control in the downward direction) during the time period from t4 onward.

[0071] Figure 6C shows the daily fluctuations in the electricity conversion coefficient and electricity rate when a small value is set for the daytime electricity rate and a large value is set for the electricity conversion coefficient and electricity rate during the evening and nighttime hours.

[0072] In the case of Figure 6C, the operation planning unit 15 determines the equipment control amount so as to shift demand to a time period when either the electricity conversion coefficient or the electricity rate per unit is small. That is, the operation planning unit 15 determines the equipment control amount so as to increase electricity consumption during the daytime ("Demand Increase Control" in the figure) and decrease electricity consumption during the evening and nighttime ("Demand Decrease Control" in the figure). For example, the operation planning unit 15 will create an operation plan so as to increase the amount of electricity purchased during that time period (the time period from time t5 to t6) (i.e., increase the equipment control amount in the upward direction) and especially decrease the amount of electricity purchased during the time period from time t6 onwards (i.e., increase the equipment control amount in the downward direction).

[0073] For example, when the operation plan creation unit 15 creates an operation plan using (Equation 1), the operation plan is created to reduce the amount of electricity purchased (i.e., to increase the amount of equipment control in the downward direction) during the time period from time t6 onwards. Also, for example, when the operation plan creation unit 15 creates an operation plan using (Equation 2), the operation plan is created to increase the amount of electricity purchased (i.e., to increase the amount of equipment control in the upward direction) during the time period when the electricity rate per unit is low (the time period from time t5 to t6), and to reduce the amount of electricity purchased (i.e., to increase the amount of equipment control in the downward direction) during the time period from time t6 onwards.

[0074] Figure 6D shows the daily fluctuations in the electricity conversion factor and electricity rate when a large electricity conversion factor is set for the evening hours and a high electricity rate is set for the evening and nighttime hours.

[0075] In the case of Figure 6D, since there is no correspondence between the time periods with low electricity conversion coefficients and the time periods with low electricity rates, the operation plan creation unit 15 will create an operation plan that realizes the equipment control amount corresponding to the value of the objective function. For example, if the operation plan creation unit 15 creates an operation plan using (Equation 1), the operation plan will be created to reduce the amount of electricity purchased (i.e., increase the equipment control amount in the downward direction) during the time period from t7 to t8. Also, for example, if the operation plan creation unit 15 creates an operation plan using (Equation 2), the equipment control amount for each time period will be determined so that the value of (Equation 2) is minimized.

[0076] [1-4. Effects, etc.] As described above, the operation plan creation device 10 according to this embodiment is an operation plan creation device that creates an operation plan for an energy resource 30 installed at a customer, and comprises a coefficient acquisition unit 11 (an example of a first acquisition unit) that acquires an electrical conversion coefficient for converting electricity consumption into energy consumption, the value of which can fluctuate at predetermined intervals; a measurement data acquisition unit 13 (an example of a second acquisition unit) that acquires measurement data related to the power of the energy resource 30; a prediction unit 14 that calculates prediction data of the power to be received by the customer based on the measurement data; and an operation plan creation unit 15 that creates an operation plan based on the electrical conversion coefficient and the prediction data.

[0077] As a result, the operation plan creation device 10 creates an operation plan using an electrical conversion coefficient whose value can fluctuate at predetermined time intervals, thus enabling the creation of an operation plan that responds to fluctuations in the electrical conversion coefficient. Therefore, the operation plan creation device 10 can reduce energy consumption even when the electrical conversion coefficient fluctuates at predetermined time intervals.

[0078] Furthermore, the coefficient acquisition unit 11 acquires a primary energy conversion coefficient, and the operation plan creation device 10 further includes a unit price acquisition unit 12 (an example of a third acquisition unit) that acquires the electricity rate unit price and the primary energy unit price. The operation plan creation unit 15 then creates an operation plan based on the primary energy conversion coefficient, the electricity rate unit price and the primary energy unit price.

[0079] As a result, the operation plan creation device 10 creates an operation plan using energy consumption and electricity rates, and can create an operation plan that responds to fluctuations in the electricity conversion coefficient and electricity rate. Therefore, the operation plan creation device 10 can further reduce electricity costs.

[0080] Furthermore, the operation plan creation unit 15 calculates a first value based on the electricity conversion factor, primary energy conversion factor, primary energy unit price, and forecast data, and a second value based on the electricity rate unit price and forecast data, and creates an operation plan based on the sum of the calculated first and second values.

[0081] This allows for the creation of an operating plan that adapts to fluctuations in the electricity conversion factor and electricity rates by using the sum of the first and second values.

[0082] Furthermore, the operation plan creation unit 15 transmits at least one of the operation plan and the actual controlled power amount of the energy resources 30 to at least one of the retail electricity business operator that sells electricity (an example of the first business operator) and the specified wholesale supplier that controls the energy resources 30 (an example of the second business operator).

[0083] This is expected to improve the accuracy of plans created by retail electricity providers or specified wholesale suppliers by allowing them to create business plans based on operational plans. Furthermore, it is expected to improve the accuracy of plans created by retail electricity providers or specified wholesale suppliers by allowing them to conduct performance evaluations based on actual controlled power consumption and reflect these evaluations in the plans they create.

[0084] Furthermore, the energy resource control system 1 according to this embodiment includes an operation plan creation device 10 and a controller 20 installed at the customer's site. The controller 20 has an operation plan acquisition unit (an example of a fourth acquisition unit) that acquires the operation plan created by the operation plan creation device 10, and a control unit that controls the energy resources 30 installed at the customer's site based on the operation plan.

[0085] As a result, the energy resources 30 are controlled based on the operation plan created by the operation plan creation device 10, thereby automatically reducing the amount of energy used by consumers.

[0086] Furthermore, the operation plan creation method according to this embodiment is an operation plan creation method for creating an operation plan for an energy resource 30 installed at a customer, and involves obtaining an electrical conversion coefficient for converting electricity consumption into energy consumption, the value of which can fluctuate at predetermined intervals (S101), obtaining measurement data regarding the power of the energy resource 30 (S103), calculating predicted data of the power to be received by the customer based on the measurement data (S104), and creating an operation plan based on the electrical conversion coefficient and the predicted data (S105).

[0087] This achieves the same effect as the operation plan creation device 10 described above.

[0088] (Modification 1 of the embodiment) The following describes the operation plan creation device according to this modified example with reference to Figure 7. Figure 7 is a block diagram showing the functional configuration of the energy resource control system 1 according to this modified example. In the following description, the differences from the embodiment will be the main focus, and the same or similar content as in the embodiment will be omitted or simplified. The functional configuration of the operation plan creation device 10 according to this modified example may be the same as the functional configuration of the operation plan creation device 10 according to the embodiment, and the explanation will be omitted.

[0089] As shown in Figure 7, the coefficient acquisition unit 11 of the operation plan creation device 10 acquires emission coefficients for predetermined time intervals on the target day for which the operation plan is to be created, in addition to the coefficient acquisition unit 11 of the embodiment, and outputs the acquired emission coefficients to the operation plan creation unit 15. In addition, the unit price acquisition unit 12 of the operation plan creation device 10 acquires CO2 unit prices for predetermined time intervals on the target day for which the operation plan is to be created, in addition to the unit price acquisition unit 12 of the embodiment, and outputs the acquired CO2 unit prices to the operation plan creation unit 15. The emission coefficients and CO2 unit prices are acquired, for example, from an external system 200.

[0090] As shown in Figure 3, the emission factor is a coefficient used when calculating greenhouse gas emissions, for example, the CO2 emission factor. The emission factor is a published value that is released annually. The CO2 unit price is the unit price (price per unit amount of CO2) in the buying and selling of CO2 emission allowances, for example, it is set daily. The CO2 unit price may be a market price (market unit price) such as in the emissions futures market or emissions trading market (cap and trade system), or it may be a credit unit price (baseline system). For example, the CO2 unit price may be a unit price set by the consumer (internal carbon price), a unit price of CO2 emission allowances traded in the market (CO2 emission allowance trading unit price), or a unit price for CO2 emissions traded in the market.

[0091] Furthermore, emission factors are determined for each electricity rate menu offered by a retail electricity provider (for example, the type of electricity generated). When a retail electricity provider supplies electricity derived from renewable energy to consumers, the emission factor is 0 or close to 0, while when a retail electricity provider supplies electricity derived from fossil fuels to consumers, the emission factor is greater than 0 or close to 0.

[0092] Thus, the operation plan creation unit 15 in this modified example creates an operation plan based on the emission factor and CO2 unit price, in addition to the electricity conversion factor, primary energy conversion factor, primary energy unit price, and forecast data. The operation plan creation unit 15 may, for example, calculate a third value based on the emission factor, CO2 unit price, and forecast data, in addition to the first and second values, and create an operation plan based on the sum of the calculated first, second, and third values. The operation plan creation unit 15 creates an operation plan using, for example, the following (Equation 3).

[0093] Minimize w1 × Σ Electrical conversion factor t ×(Amount used t -Σ Instrument control quantity it ) × Primary energy conversion factor t × Primary energy unit price t +w2×Σ(demand power amount t -Σ Instrument control quantity it ) × Electricity rate per unit t +w3 × Σ emission factor t ×(demand power amount t -Σ Instrument control quantity it ) × CO2 unit price t ...(Formula 3)

[0094] The first and second terms of (Equation 3) are the same as those in (Equation 2), and the third term is the price corresponding to the CO2 emissions required to generate the electricity purchased by the consumer (an example of the third value). The operation planning unit 15 uses (Equation 3) to create an operation plan corresponding to the equipment control amount at predetermined time intervals that minimizes energy consumption, electricity charges, and CO2 emissions. Note that w3 is a weighting variable and is set in advance, but may be changed dynamically. Also, if non-fossil fuel certificates are procured separately, for example, the third term becomes w3 × Σ{emission coefficient}. t ×(demand power amount t - Equipment control quantity it - Non-fossil fuel certificate procurement volume t ) × CO2 unit price t ) + amount of non-fossil certificates procured t × Non-fossil certificate unit price t}. At this time, the unit price acquisition unit 12 acquires the unit price of the non-fossil certificate.

[0095] As described above, the coefficient acquisition unit 11 (an example of a first acquisition unit) of the operation plan creation device 10 according to this modified example further acquires the emission coefficient, and the unit price acquisition unit 12 (an example of a third acquisition unit) further acquires the CO2 unit price. Then, the operation plan creation unit 15 further creates an operation plan based on the emission coefficient and the CO2 unit price.

[0096] As a result, the operation plan creation device 10 creates an operation plan using energy consumption, electricity charges, and CO2 unit price, making it possible to further reduce CO2 emissions.

[0097] Furthermore, the operation plan creation unit 15 calculates a first value based on the electricity conversion factor, primary energy conversion factor, primary energy unit price, and forecast data, a second value based on the electricity rate unit price and forecast data, and a third value based on the emission factor, CO2 unit price, and forecast data, and creates an operation plan based on the sum of the calculated first, second, and third values.

[0098] This allows for the creation of an operational plan that can reduce CO2 emissions by using the sum of the first to third values.

[0099] Furthermore, the CO2 unit price is one of the following: the unit price set by the consumer, the unit price of CO2 emission allowances traded in the market, or the unit price for CO2 emissions traded in the market.

[0100] As a result, the operation plan creation device 10 can create an operation plan using one of the following: the unit price set by the customer, the unit price of CO2 emission rights traded in the market, or the unit price for CO2 emissions traded in the market.

[0101] (Modified example 2 of the embodiment) The following describes the operation plan creation device according to this modified example with reference to Figure 8. Figure 8 is a block diagram showing the functional configuration of the energy resource control system 1a according to this modified example. In the following description, the differences from Modification Example 1 of the Embodiment will be the main focus, and the same or similar content as in Modification Example 1 of the Embodiment will be omitted or simplified. The operation plan creation device 10a according to this modified example includes a performance calculation unit 16 in addition to the operation plan creation device 10 according to Modification Example 1 of the Embodiment. In this modified example, the measurement data acquisition unit 13 also outputs the acquired measurement data to the performance calculation unit 16.

[0102] The performance calculation unit 16 calculates the actual values ​​of energy resources 30 based on the acquired measurement data. Under the Energy Conservation Act, businesses are required to periodically report on their energy usage if their energy consumption (crude oil equivalent) is 1500 kl or more, and the performance calculation unit 16 calculates the actual values ​​used in such periodic reports, for example. The performance calculation unit 16 may also calculate the energy consumption of a customer's business premises as an actual value based on an electricity conversion factor. For example, the performance calculation unit 16 may calculate the actual energy consumption of energy resources 30 by calculating the actual value of the amount of electricity purchased (received) at a customer for a predetermined time period and the electricity conversion factor for a predetermined time period. The performance calculation unit 16 may also calculate the energy consumption of a customer's business premises as an actual value based on the average value of all power sources or the self-generated renewable energy coefficient. The performance calculation unit 16 may also calculate actual values ​​such as energy consumption intensity, industry-specific benchmarks, electricity demand leveling evaluation intensity, and electricity demand optimization intensity from the calculated energy consumption. The performance calculation unit 16 may calculate the energy consumption per unit by partially subtracting non-fossil energy from the energy input (measurement data).

[0103] Furthermore, the performance calculation unit 16 may calculate the actual value of CO2 emissions from the energy resource 30 (Scope 1 emissions or Scope 2 emissions of supply chain emissions) based on, for example, an emission factor. For example, the performance calculation unit 16 may calculate the actual value of CO2 emissions from the energy resource 30 (Scope 2 emissions of supply chain emissions) by calculating the actual value of the amount of electricity purchased (received) by the customer at predetermined intervals and the emission factor at predetermined intervals.

[0104] Furthermore, the performance calculation unit 16 may calculate the profit obtained by adjusting the equipment control amount to the business operator or customer who manages the operation plan creation device 10.

[0105] As described above, the operation plan creation device 10a according to this modified example may further include an actual calculation unit 16 that calculates the actual value of energy resources 30 based on an electrical conversion coefficient and outputs the calculated actual value. Furthermore, the operation plan creation device 10a according to this modified example may further include an actual calculation unit 16 that calculates the actual value of energy resources 30 based on an emission coefficient and outputs the calculated actual value.

[0106] This makes it easier to prepare the periodic reports that are mandated by the revised Energy Conservation Act.

[0107] (Modification 3 of the embodiment) In the following, the operation plan creation device according to this modified example will be described with reference to Figure 9. Figure 9 is a block diagram showing the functional configuration of the energy resource control system 1b according to this modified example. In the following, the differences from Modified Example 2 of the Embodiment will be the main focus of the explanation, and the same or similar content as in Modified Example 2 of the Embodiment will be omitted or simplified.

[0108] A specified wholesale supplier may engage in adjustment power transactions with businesses such as retail electricity suppliers. For example, a specified wholesale supplier may control the energy resources 30 owned by a customer under desired control conditions based on a request from a business such as a retail electricity supplier, general transmission and distribution company, or power generation company. Desired control conditions are, for example, conditions based on power services such as demand response (DR). The operation plan creation device 10b in this modified example creates an operation plan taking such requests into consideration. The permissible range of adjustment power may be predetermined, for example, by a contract between the specified wholesale supplier and the customer.

[0109] As shown in Figure 9, the operation plan creation device 10b according to this modified example includes a receiving unit 17 in addition to the operation plan creation device 10b according to the modified example 2 of the embodiment.

[0110] The receiving unit 17 receives commands from the external system 200 regarding the control of energy resources 30. The commands include, for example, the amount of adjustment for electricity usage at predetermined time intervals on the target day. The commands are obtained from at least one of a retail electricity provider and a specified wholesale electricity provider. The commands include increase commands, which indicate an increase in electricity usage, and decrease commands, which indicate a decrease in electricity usage. The form of the commands may change due to changes in contracts or market rules, etc.

[0111] Furthermore, the unit price acquisition unit 12 of the operation plan creation device 10b, in addition to the unit price acquisition unit 12 of the modified embodiment 2, acquires the adjustment unit price for each predetermined hour on the target day for which the operation plan is to be created, and outputs the acquired adjustment unit price to the operation plan creation unit 15. The adjustment unit price is acquired, for example, from an external system 200.

[0112] As shown in Figure 3, the adjustment unit price is the unit price for the provision of adjustment power (buying and selling of adjustment power) with at least one of the retail electricity provider and the specified wholesale supplier, and may be the price (unit price) in a bilateral contract between the customer and the retail electricity provider or between the customer and the specified wholesale supplier. The adjustment unit price is determined, for example, at predetermined intervals such as every 30 minutes. The adjustment unit price may also be a price based on the market price (market unit price) in a supply and demand adjustment market, for example, and may be determined at predetermined intervals such as every 5 minutes, 30 minutes, or 3 hours. The adjustment unit price is the unit price for calculating the amount (incentive) paid to the customer for the amount of electricity adjusted in accordance with the directive, and is set at predetermined intervals. In addition, there are upward adjustment unit prices for calculating the amount paid for increasing electricity usage and downward adjustment unit prices for calculating the amount paid for decreasing electricity usage.

[0113] The operation plan creation unit 15 in this modified example creates an operation plan based on commands and adjustment unit prices, in addition to the modifications described in the embodiment 2. The operation plan creation unit 15 may, for example, calculate a third value based on adjustment unit prices and forecast data, in addition to the first to third values, and create an operation plan based on the sum of the calculated first, second, and third values. The operation plan creation unit 15 creates an operation plan using, for example, the following (Equation 4).

[0114] Minimize w1 × Σ Electrical conversion factor t ×(Amount used t -Σ Instrument control quantity it ) × Primary energy conversion factor t × Primary energy unit price t +w2×Σ(demand power amount t -Σ Instrument control quantity it ) × Electricity rate per unit t +w3 × Σ emission factor t ×(demand power amount t -Σ Instrument control quantity it ) × CO2 unit price t +w4 × Σ(-Σ Instrument control quantity) it ) × Adjustment unit price t ...(Formula 4)

[0115] Terms 1 to 3 of (Equation 4) are the same as in (Equation 3), and term 4 is the price corresponding to the amount of adjustment power provided by the consumer (an example of the fourth value). The operation planning unit 15 uses (Equation 4) to create an operation plan corresponding to the amount of equipment control at predetermined time intervals that minimizes energy consumption, electricity charges, and CO2 emissions, and maximizes the provision of adjustment power. Note that w4 is a weighting variable and is set in advance, but may be changed dynamically.

[0116] As described above, the operation plan creation device 10b according to this modified example further includes a receiving unit 17 that receives commands regarding the control of energy resources 30 from at least one of a retail electricity business operator that sells electricity (an example of a first business operator) and a specified wholesale supplier that controls energy resources (an example of a second business operator), and a unit price acquisition unit 12 (an example of a third acquisition unit) acquires an adjustment unit price for the provision of adjustment capacity with at least one of the retail electricity business operator and the specified wholesale supplier. The operation plan creation unit 15 then creates an operation plan for energy resources 30 based on the adjustment unit price and the commands regarding control.

[0117] As a result, the operation plan creation device 10b can create an operation plan that corresponds to a command (e.g., DR) related to the control of the energy resource 30.

[0118] (Other embodiments) Although the operation plan creation device, etc., according to one or more embodiments has been described above based on embodiments, the present invention is not limited to these embodiments. As long as it does not depart from the spirit of the present invention, various modifications that a person skilled in the art can conceive of may be applied to these embodiments, and forms constructed by combining components from different embodiments may also be included in the present invention.

[0119] For example, in the above embodiments, an example was described in which the operation plan creation unit determines the equipment control amount so that the values ​​of (Equation 1) to (Equation 4) are minimized. However, it is not limited to this, and for example, the equipment control amount may be determined so that it is less than or equal to a standard value determined by the customer or the like.

[0120] Furthermore, while the above embodiments describe an example in which the customer's energy resources are controlled based on an operation plan created by the operation plan creation device, the created operation plan may also be proposed to the customer. The operation plan creation device may, for example, transmit the created operation plan to an information terminal managed by the customer.

[0121] Furthermore, in the embodiments described above, an example was given in which energy consumption is converted to price using crude oil equivalent, as shown in (Equation 2), but it is not limited to crude oil equivalent as long as it can be converted to price. For example, a publicly available conversion factor other than the primary energy conversion factor may be used.

[0122] Furthermore, in the modified example 1 of the above embodiment, the second term of (Equation 3) may be omitted. The operation plan creation unit may create an operation plan using, for example, the following (Equation 5).

[0123] Minimize w1 × Σ Electrical conversion factor t ×(Amount used t -Σ Instrument control quantity it ) × Primary energy conversion factor t × Primary energy unit price t +w3 × Σ emission factor t ×(demand power amount t -Σ Instrument control quantity it ) × CO2 unit price t ...(Formula 5)

[0124] This allows the operation planning unit to create an operation plan that corresponds to the amount of equipment control at predetermined time intervals that minimizes energy consumption and CO2 emissions.

[0125] Furthermore, in the modified example 3 of the above embodiment, at least one of the second and third terms of (Equation 4) may be omitted. The operation plan creation unit may create an operation plan using, for example, the following (Equation 6).

[0126] Minimize w1 × Σ Electrical conversion factort ×(Amount used t -Σ Instrument control quantity it ) × Primary energy conversion factor t × Primary energy unit price t +w4 × Σ(-Σ Instrument control quantity) it ) × Adjustment unit price t ...(Formula 6)

[0127] This allows the operation planning unit to create operation plans that are compatible with demand response (DR) while reducing energy consumption.

[0128] Furthermore, in the above embodiments, each component may be implemented by being composed of dedicated hardware or by executing a software program suitable for each component. Each component may also be implemented by a program execution unit such as a CPU or processor reading and executing a software program recorded on a recording medium such as a hard disk or semiconductor memory.

[0129] Furthermore, the order in which each step in the flowchart is executed is illustrative for the purpose of specifically illustrating the present invention, and may be in a different order. Also, some of the above steps may be executed simultaneously (in parallel) with other steps, and some of the above steps may not be executed.

[0130] Furthermore, the division of functional blocks in the block diagram is just one example; multiple functional blocks can be implemented as a single functional block, a single functional block can be divided into multiple parts, or some functions can be moved to other functional blocks. In addition, the functions of multiple functional blocks with similar functions can be processed in parallel or time-sharing by a single piece of hardware or software.

[0131] Furthermore, these general or specific embodiments may be implemented in a system, method, integrated circuit, computer program, or a non-temporary recording medium such as a computer-readable CD-ROM, or in any combination of a system, method, integrated circuit, computer program, or recording medium. The program may be pre-stored on the recording medium or supplied to the recording medium via a wide-area communication network, including the Internet.

[0132] Furthermore, the operation plan creation device according to the above embodiments may be implemented as a single device or as a plurality of devices. When the operation plan creation device is implemented as a plurality of devices, the individual components of the operation plan creation device may be distributed among the plurality of devices in any manner. For example, a controller may implement some or all of the functions of the operation plan creation device. When the operation plan creation device is implemented as a plurality of devices, the method of communication between the plurality of devices is not particularly limited and may be wireless communication or wired communication. In addition, wireless communication and wired communication may be combined between the devices.

[0133] Furthermore, each component described in the above embodiments may be implemented as software, or typically as an integrated circuit (LSI). These may be individually integrated onto a single chip, or some or all of them may be integrated onto a single chip. Here, we refer to them as LSIs, but depending on the degree of integration, they may also be called ICs, system LSIs, super LSIs, or ultra LSIs. Moreover, the method of integrated circuit implementation is not limited to LSIs; it may also be implemented using dedicated circuits (general-purpose circuits that execute dedicated programs) or general-purpose processors. After LSI manufacturing, a programmable FPGA (Field Programmable Gate Array) or a reconfigurable processor that allows for the reconfiguration of the connections or settings of circuit cells inside the LSI may be used. Furthermore, if an integrated circuit implementation technology that replaces LSIs emerges due to advances in semiconductor technology or other derived technologies, it is naturally possible to integrate the components using that technology.

[0134] A system LSI is a highly functional LSI manufactured by integrating multiple processing units onto a single chip. Specifically, it is a computer system consisting of a microprocessor, ROM (Read Only Memory), RAM (Random Access Memory), and other components. The ROM stores the computer program. The system LSI achieves its function by operating according to the computer program, with the microprocessor performing its operations.

[0135] Furthermore, one aspect of the present invention may be a computer program that causes a computer to perform each characteristic step included in the operation plan creation method shown in either Figure 4 or Figure 5.

[0136] Furthermore, for example, the program may be a program to be executed by a computer. In another aspect of the present invention, such a program may be recorded on a computer-readable non-temporary recording medium. For example, such a program may be recorded on a recording medium and distributed or made available. For example, by installing the distributed program on a device having another processor and having that processor execute the program, it becomes possible to have that device perform the above-mentioned processes. [Explanation of Symbols]

[0137] 1, 1a, 1b Energy Resource Control System 10, 10a, 10b Operation plan creation device 11. Coefficient acquisition unit (first acquisition unit) 12. Unit Price Acquisition Section (Third Acquisition Section) 13. Measurement data acquisition unit (second acquisition unit) 14 Prediction Section 15. Operation Planning Department 16 Performance Calculation Department 17 Receiving Unit 20 controllers 30 Energy Resources

Claims

1. An operation planning device that creates an operation plan for energy resources installed at a consumer's site, An electrical conversion coefficient for converting electricity consumption into energy consumption, a first acquisition unit that acquires an electrical conversion coefficient whose value can fluctuate at predetermined intervals, A second acquisition unit acquires measurement data related to the power of the aforementioned energy resource, A prediction unit calculates the predicted data for the electricity received by the customer at predetermined time intervals based on the measurement data, The system includes an operation plan creation unit that creates the operation plan based on the aforementioned electricity conversion coefficient and the aforementioned prediction data, The first acquisition unit further acquires the primary energy conversion factor, The aforementioned operation plan creation device further includes a third acquisition unit for acquiring electricity rates and primary energy rates. The aforementioned operation plan creation unit, At each predetermined time interval, a subtraction value is calculated by subtracting the amount of energy resource control from the predicted data. At each predetermined time interval, a first value is calculated by multiplying the electricity conversion coefficient and the subtraction value by the primary energy conversion coefficient and the primary energy unit price, and a second value is calculated by multiplying the subtraction value and the electricity rate unit price. The amount of control for the energy resource at predetermined intervals is determined so as to minimize the sum of the calculated first and second values. The operation plan is created according to the amount of energy resource control determined for each predetermined time period. Operation plan creation device.

2. An operation plan creation device for creating an operation plan for energy resources installed at a consumer, An electrical conversion coefficient for converting electricity consumption into energy consumption, a first acquisition unit that acquires an electrical conversion coefficient whose value can fluctuate at predetermined intervals, A second acquisition unit acquires measurement data related to the power of the aforementioned energy resource, A prediction unit calculates the predicted data for the electricity received by the customer at predetermined time intervals based on the measurement data, The system includes an operation plan creation unit that creates the operation plan based on the aforementioned electricity conversion coefficient and the aforementioned prediction data, The first acquisition unit further acquires the primary energy conversion factor and the emission factor, The aforementioned operation plan creation device further includes a third acquisition unit for acquiring electricity rates, primary energy rates, and CO2 rates. The aforementioned operation plan creation unit, At each predetermined time interval, a subtraction value is calculated by subtracting the amount of energy resource control from the predicted data. At each predetermined time interval, a first value is calculated by multiplying the electricity conversion coefficient and the subtraction value by the primary energy conversion coefficient and the primary energy unit price, and a second value is calculated by multiplying the subtraction value and the electricity rate unit price. At each predetermined time interval, a third value is calculated by multiplying the emission coefficient, the subtraction value, and the CO2 unit price. The amount of energy resource to be controlled at predetermined intervals is determined so as to minimize the sum of the calculated first value, second value, and third value. The operation plan is created according to the amount of energy resource control determined for each predetermined time period. Operation plan creation device.

3. The aforementioned CO2 unit price is one of the following: the unit price set by the consumer, the unit price of CO2 emission rights traded in the market, or the unit price for CO2 emissions traded in the market. The operation plan creation device according to claim 2.

4. Furthermore, the system includes a performance calculation unit that calculates the actual value of the energy resource based on the aforementioned electricity conversion coefficient and outputs the calculated actual value. The operation plan creation device according to claim 1 or 2.

5. Furthermore, the system includes a performance calculation unit that calculates the actual value of the energy resource based on the emission coefficient and outputs the calculated actual value. The operation plan creation device according to claim 2.

6. The operation plan creation unit transmits at least one of the operation plan and the actual controlled power amount of the energy resources to at least one of the first electricity retailer and the second electricity control company that controls the energy resources. The operation plan creation device according to claim 1 or 2.

7. Furthermore, the system includes a receiving unit that receives commands relating to the control of the energy resources from at least one of the first business operator that retails electricity and the second business operator that controls the energy resources. The third acquisition unit acquires an adjustment unit price for providing coordination capabilities with at least one of the first business operator and the second business operator, The operation planning unit further creates an operation plan for the energy resources based on the adjustment unit price and the control commands. The operation plan creation device according to claim 1 or 2.

8. An operation plan creation device according to claim 1 or 2, Equipped with a controller installed at the customer's location, The aforementioned controller, A fourth acquisition unit that acquires the operation plan created by the operation plan creation device, It includes a control unit that controls energy resources installed at the customer based on the aforementioned operating plan. Energy resource control system.

9. A method for creating an operation plan, which is performed by an operation plan creation device that creates an operation plan for energy resources installed at a consumer's site, An electrical conversion coefficient for converting electricity consumption into energy consumption, wherein an electrical conversion coefficient whose value can fluctuate at predetermined intervals is obtained, Obtain measurement data regarding the power of the aforementioned energy resource, Based on the measurement data, predictive data for the electricity received by the consumer at predetermined time intervals is calculated. Based on the aforementioned electricity conversion coefficient and the aforementioned prediction data, the operation plan is created. Furthermore, we obtained the primary energy conversion factor, Furthermore, we obtain electricity rates and primary energy rates. At each predetermined time interval, a subtraction value is calculated by subtracting the amount of energy resource control from the predicted data. At each predetermined time interval, a first value is calculated by multiplying the electricity conversion coefficient and the subtraction value by the primary energy conversion coefficient and the primary energy unit price, and a second value is calculated by multiplying the subtraction value and the electricity rate unit price. The amount of control for the energy resource at predetermined intervals is determined so as to minimize the sum of the calculated first and second values. The operation plan is created according to the amount of energy resource control determined for each predetermined time period. Method for creating a driving plan.

10. A method for creating an operation plan, which is performed by an operation plan creation device that creates an operation plan for energy resources installed at a consumer, An electrical conversion coefficient for converting electricity consumption into energy consumption, wherein an electrical conversion coefficient whose value can fluctuate at predetermined intervals is obtained, Obtain measurement data regarding the power of the aforementioned energy resource, Based on the measurement data, predictive data for the electricity received by the consumer at predetermined time intervals is calculated. Based on the aforementioned electricity conversion coefficient and the aforementioned prediction data, the operation plan is created. Furthermore, we obtain the primary energy conversion factor and emission factor, Furthermore, we obtain electricity rates, primary energy rates, and CO2 rates. At each predetermined time interval, a subtraction value is calculated by subtracting the amount of energy resource control from the predicted data. At each predetermined time interval, a first value is calculated by multiplying the electricity conversion coefficient and the subtraction value by the primary energy conversion coefficient and the primary energy unit price, and a second value is calculated by multiplying the subtraction value and the electricity rate unit price. At each predetermined time interval, a third value is calculated by multiplying the emission coefficient, the subtraction value, and the CO2 unit price. The amount of energy resource to be controlled at predetermined intervals is determined so as to minimize the sum of the calculated first value, second value, and third value. The operation plan is created according to the amount of energy resource control determined for each predetermined time period. Method for creating a driving plan.

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