JP2023157130A - Operation plan creation device, energy resources control system, and operation plan creation method - Google Patents

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

The present invention relates to an operation plan creation device, an energy resource control system, and an operation plan creation method that create an operation plan for energy resources installed in a consumer.

Patent Document 1 discloses a system that creates an operation plan for energy resources such as heat source equipment and generators.

Japanese Patent Application Publication No. 2002-230099

Incidentally, in recent years, there has been a demand for reducing the amount of energy used by consumers due to environmental considerations, and it is desired to create an operation plan for energy resources that can reduce the amount of energy used.

Therefore, the present invention provides an operation plan creation device, an energy resource control system, and an operation plan creation method that can reduce energy usage.

An operation plan creation device according to one aspect of the present invention is an operation plan creation device that creates an operation plan for energy resources installed in a consumer, and includes an electricity conversion coefficient for converting electricity usage into energy usage. a first acquisition unit that acquires an electricity conversion coefficient whose value can vary at predetermined time intervals; a second acquisition unit that acquires measured data regarding the power of the energy resource; and based on the measured data, The electric power generating apparatus includes a prediction unit that calculates prediction data of electric power received by the consumer, and an operation plan creation unit that creates the operation plan based on the electricity conversion coefficient and the prediction data.

An energy resource control system according to one aspect of the present invention includes the above-mentioned operation plan creation device and a controller installed in a consumer, and the controller acquires the operation plan created by the operation plan creation device. It has a 4th acquisition part and a control part which controls the energy resource installed in the said consumer based on the said operation plan.

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 energy resources installed in a consumer, and includes an electricity conversion coefficient for converting electricity consumption into energy consumption. Acquire an electricity conversion coefficient whose value can fluctuate every predetermined time, acquire measurement data regarding the electric power of the energy resource, and predict data of electric power received by the consumer based on the measured data. is calculated, and the operation plan is created based on the electricity conversion coefficient and the prediction data.

According to one aspect of the present invention, it is possible to realize an operation plan creation device and the like that can reduce energy consumption.

FIG. 1 is a diagram for explaining a method of calculating energy consumption. FIG. 2 is a block diagram showing the functional configuration of the energy resource control system according to the embodiment. FIG. 3 is a diagram for explaining each coefficient and unit price according to the embodiment. FIG. 4 is a sequence diagram showing the operation of the energy resource control system according to the embodiment. FIG. 5 is a flowchart showing the operation of the operation plan creation device according to the embodiment. FIG. 6A is a first diagram for explaining demand shift. FIG. 6B is a second diagram for explaining the demand shift. FIG. 6C is a third diagram for explaining the demand shift. FIG. 6D is a fourth diagram for explaining the demand shift. FIG. 7 is a block diagram showing the functional configuration of an energy resource control system according to modification 1 of the embodiment. FIG. 8 is a block diagram showing a functional configuration of an energy resource control system according to a second modification of the embodiment. FIG. 9 is a block diagram showing the functional configuration of an energy resource control system according to modification 3 of the embodiment.

(How the present invention was achieved)
Prior to explaining the present invention, the circumstances leading to the present invention will be explained with reference to FIG. Figure 1 is a diagram for explaining the method of calculating energy usage (Source: Ministry of Economy, Trade and Industry homepage, [searched on March 24, 2020], Internet <URL: https://www.meti .go.jp/shingikai/enecho/shoene_shinene/sho_energy/pdf/036_01_00.pdf>). FIG. 1 shows an example in which the optimization coefficient varies from month to month. Note that the variation period of the optimization coefficient is not limited to monthly.

In Japan, the current "Act on the Rational Use of Energy, etc." (so-called Energy Saving Law) uses a conversion factor to convert electricity usage into energy usage. A constant value (fixed value) is adopted as this conversion coefficient for each daytime period, electricity demand leveling period, and nighttime. Due to the revision of the Energy Conservation Law (the "Act on the Rational Use of Energy and Conversion to Non-Fossil Energy" scheduled to come into effect in 2023), for example, the "average coefficient for all power sources" shown in Figure 1, A fixed average value for all power sources throughout the year may be used for electricity generated. Although not shown in FIG. 1, a value smaller than the average coefficient of all power sources (hereinafter referred to as a self-generated renewable energy coefficient) may be adopted for the power generated by the self-generated solar power generation device. Furthermore, due to the revision of the Energy Saving Act, an electricity conversion coefficient for converting the amount of electricity used into the amount of energy used, and whose value can fluctuate every predetermined time, will be introduced. The newly introduced electricity conversion factor may change dynamically depending on the supply side situation. This electricity conversion factor is determined by a public organization or the like based on the situation on the supply side, and is made public before the target date for creating the operation plan (for example, two days before the target date). Note that the electricity conversion coefficient is also referred to as an optimization coefficient. Due to the revision of the Energy Saving Act, in addition to the conventional energy consumption, the lower the energy consumption (total energy consumption in a certain period) calculated by the newly introduced electricity conversion factor, the lower the value for the business. That will happen. In addition, reducing these energy consumption leads to reducing environmental burden.

In Figure 1, the total electricity consumption of both Specified Businesses A and B (businesses whose total energy consumption (crude oil equivalent value) is 1500kl/year or more) is 1200kWh in one year (January to December). Similarly, specific business operator A increases electricity usage in months when the optimization coefficient is low, and specific business operator B uses a constant amount of electricity every month regardless of the optimization coefficient.

In the case of Figure 1, the total electricity usage of specific businesses A and B is the same, but the electricity usage (that is, energy usage) based on the optimization coefficient is lower for specific business operator A. There is. Specifically, the energy usage of specific business operator A is 9500 MJ, and the energy usage of specific business operator B is 10600 MJ. In this case, specified business operator A is evaluated more highly under the Energy Saving Act.

Therefore, it is desirable to control the energy resources installed at consumers in accordance with the changing electricity conversion coefficient so that the amount of energy used is reduced. Patent Document 1 does not disclose that energy resources are controlled in consideration of changing electricity conversion coefficients.

Therefore, the inventors of the present application have conducted intensive studies on an operation plan creation device, an energy resource control system, and an operation plan creation method that can reduce energy consumption when a fluctuating electricity conversion coefficient is used. We have developed an operation plan creation device, an energy resource control system, and an operation plan creation method that can reduce energy consumption as shown below.

Hereinafter, embodiments will be specifically described with reference to the drawings.

Note that the embodiments described below are all inclusive or specific examples. The numerical values, shapes, components, arrangement positions and connection forms of the components, steps, order of steps, etc. shown in the following embodiments are merely examples, and do not limit the present invention. Further, among the constituent elements in the following embodiments, constituent elements that are not described in the independent claims will be described as arbitrary constituent elements.

Furthermore, each figure is a schematic diagram and is not necessarily strictly illustrated. Therefore, for example, the scales and the like in each figure do not necessarily match. Further, in each figure, substantially the same configurations are denoted by the same reference numerals, and overlapping explanations will be omitted or simplified.

In addition, in this specification, terms that indicate relationships between elements such as coincidence, and numerical values and numerical ranges are not expressions that express only strict meanings, but are used to indicate substantially equivalent ranges, for example, on the order of several percent (e.g. , about 10%).

(Embodiment)
The operation plan creation device and the like according to this embodiment will be described below with reference to FIGS. 2 to 6D.

[1-1. Energy resource control system configuration]
First, the configuration of the energy resource control system according to this embodiment will be described with reference to FIGS. 2 and 3. FIG. 2 is a block diagram showing the functional configuration of the energy resource control system 1 according to the present embodiment.

As shown in FIG. 2, the energy resource control system 1 includes an operation plan creation device 10 and an energy resource side device 100.

The operation plan creation device 10 creates an operation plan for energy resources installed at a consumer. Energy resources are distributed energy resources introduced to consumers, and include electric vehicles equipped with storage batteries (in-vehicle storage batteries), devices that can be charged or discharged such as stationary storage batteries, solar power generation equipment, and fuel cells. These include, but are not limited to, power generation equipment such as, and load devices such as heat pump water heaters. An electric vehicle refers to a vehicle that can run on electricity, and includes a vehicle that is powered only by electricity (so-called electric vehicle: EV), and a vehicle that is powered by electricity and other energy sources (for example, fuel such as gasoline). These include vehicles (so-called hybrid vehicles: HV), hybrid vehicles with an external charging function (so-called plug-in hybrid vehicles: PHV), and the like. Further, the consumer may be a general consumer (general household), a factory, a facility (for example, a hospital, a school, etc.).

The driving plan creation device 10 includes a coefficient acquisition section 11 , a unit price acquisition section 12 , a measurement data acquisition section 13 , a prediction section 14 , and a driving plan creation section 15 . The driving plan creation device 10 is realized by a computer or a smartphone including a processor, memory, and the like. Specifically, the driving plan creation device 10 realizes each functional configuration by a processor operating according to a program stored in a memory. The operation plan creation device 10 is realized, for example, by a server device, but may also be realized by an information terminal placed at each customer.

The coefficient acquisition unit 11 acquires at least a dynamically changing electricity conversion coefficient from an external system (for example, an external server device). The electricity conversion coefficient is a coefficient for each predetermined time (by time zone) that is set and distributed for each predetermined period or time. The predetermined period or time for setting and distribution may not match the predetermined period or time for changing the value. In this embodiment, the coefficient acquisition unit 11 acquires an electricity conversion coefficient and a primary energy conversion coefficient. The coefficient acquisition unit 11 functions as a first acquisition unit. Note that the predetermined period here means, for example, a time longer than one day, and the predetermined time here means a relatively short time, for example, one day or less. For example, one day shown in "Setting cycle" in FIG. 3 is an example of a predetermined time, and one month is an example of a predetermined period.

The unit price acquisition unit 12 acquires the electricity rate unit price and the primary energy unit price from an external system (for example, an external server device). For example, the unit price acquisition unit 12 acquires the unit price of electricity from an external system managed by a retail electricity company. The unit price acquisition unit 12 is an example of a third acquisition unit. Note that the operation plan creation device 10 does not need to include the unit price acquisition section 12.

The measurement data acquisition unit 13 acquires measurement data regarding the power of the energy resource. When the energy resource is a device that can be charged and discharged, the measurement data acquisition unit 13 acquires the charging and discharging amount of the energy resource, the current charging amount, the free capacity, etc. as measurement data, and when the energy resource is a power generation facility, The amount of power generation, etc. is acquired as measurement data, and if the energy resource is a load device, the amount of power consumption, etc. is acquired as measurement data. When there are multiple energy resources, the measurement data acquisition unit 13 acquires measurement data for each of the multiple energy resources.

Further, the measurement data acquisition unit 13 may acquire measurement data from, for example, a power meter installed at a consumer (for example, a power meter with a communication function (so-called smart meter)). The meter may be a gas meter that measures gas, or may be a meter that collects and transmits measurement data measured by other meters. The measurement data acquisition unit 13 may acquire data regarding real power demand at the consumer as measurement data. For example, the measurement data acquisition unit 13 collects data on the power consumed by the consumer, data on the power received (purchased) by the consumer, and the amount of equipment actually controlled (actual) based on the created operation plan. control power amount) may be acquired as measurement data. Furthermore, the measurement data acquisition unit 13 may acquire the amount of primary energy used, the operation schedule of energy resources, etc. as measurement data. The measurement data acquisition unit 13 is an example of a second acquisition unit.

The prediction unit 14 calculates prediction data of power received by the consumer 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 at predetermined time intervals (for example, 48 times every 30 minutes) on the target day for which the operation plan is created, and calculates the predicted amount of power generated. and calculate predicted data from usage. For each predetermined time period, the prediction unit 14 calculates the amount of power demand, which is the difference between the amount of power generation and the amount of usage (amount of usage - amount of power generation) at each predetermined time. Demand power amount = max (usage amount - power generation amount, 0). The prediction data includes the amount of power demanded at each predetermined time. The power demand is a predicted value of the power that a consumer needs to receive, and the prediction unit 14 may directly predict the power demand.

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

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

Minimize Σ Average coefficient of all power sources _t × (Demand power amount _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 Electricity conversion coefficient _t ×(Usage amount _t - ΣDevice control amount _it ) ... (Formula 1)

Constraint condition ΣDevice control amount _it ≦Rated output amount _i
ΣDevice control amount _it ≧Rated input amount _i
ΣDevice control amount _it ≦ Demand power amount _t

(Equation 1) is the sum of "Σ average coefficient of all power sources _t × (demand energy _t - Σ equipment control amount _it )" and "Σ self-generated renewable energy coefficient _t × min (usage amount _t - Σ equipment control amount _it , power generation This indicates that the sum of the amount _t ) and the Σelectricity conversion coefficient _t ×(usage _t -Σequipment control amount _it ) is minimized. In addition, "min (usage amount _t - Σ equipment control amount _it , power generation amount _t )" indicates that the minimum value of "usage amount _t - Σ equipment control amount _it " and "power generation amount _t " is used. show. The same holds true for (Formula 2) and thereafter.

The device control amount indicates the control amount of energy resources, and the direction of decreasing the amount of power demand is positive. The device control amount indicates, for example, discharge power/discharge amount or charging power/charge amount in the case of an electric vehicle or a stationary storage battery. By solving the optimization problem of (Formula 1), the operation plan creation unit 15 calculates a predetermined value (energy usage amount) multiplied by the electricity conversion coefficient and (demand power amount - equipment control amount) at each predetermined time. The device control amount for each predetermined time is determined so that the summed value for the period (for example, one day) is the minimum. Then, the operation plan creation unit 15 creates an operation plan according to the determined device control amount.

Note that, below, an example will be described in which the operation plan creation unit 15 creates an operation plan based on a primary energy conversion coefficient, an electricity rate unit price, and a primary energy unit price in addition to the electricity conversion coefficient and prediction data. Hereinafter, from (Equation 2) onward, the all power source average coefficient and the self-generated renewable energy coefficient are omitted from among the constraint conditions and the objective function for the sake of simplicity. For example, the operation plan creation unit 15 calculates a first value based on an electricity conversion coefficient, a primary energy conversion coefficient, a primary energy unit price, and prediction data, and calculates a second value based on an electricity rate unit price and prediction data. However, the driving plan may be created based on the sum of the calculated first value and second value. The driving plan creation unit 15 creates a driving plan using, for example, the following (Formula 2).

Minimize w1 × Σ Electricity conversion coefficient _t × (Usage amount _t - Σ Equipment control amount _it ) × Primary energy conversion coefficient _t × Primary energy unit price _t + w2 × Σ (Demand power amount _t - Σ Equipment control amount _it ) × Electricity rate Unit price _t ... (Formula 2)

The first term of (Formula 2) indicates the price obtained by converting the amount of energy used into crude oil price, and is a price (an example of the first value) according to the electricity conversion coefficient that changes dynamically. The second term in (Equation 2) indicates the price (an example of the second value) at which the consumer purchases the electricity in short supply from in-house power generation, etc. The price will be adjusted accordingly. The operation plan creation unit 15 uses (Equation 2) to create an operation plan according to the device control amount for each predetermined time that minimizes energy consumption and electricity charges. Note that w1 and w2 are weighting variables and are set in advance. Weighting variables w1 and w2 may be dynamically changed from preset values.

Here, the coefficients and unit prices described above will be explained with reference to FIG. 3. FIG. 3 is a diagram for explaining each coefficient and each unit price according to this embodiment. FIG. 3 is a table in which variables, a summary of the variables, an example of a predetermined time for the variable, a setting period, and an example of the method of acquiring the variable are associated with each other. The setting cycle is a time interval at which published values, various prices, etc. are set. Note that the information shown in FIG. 3 is just an example, and may change depending on the content of amendments to the Energy Saving Act, changes in market rules, etc. Further, FIG. 3 also illustrates coefficients and prices used in each modification of the embodiment. The coefficients and prices used in each variant are explained in the corresponding variant.

The electricity conversion coefficient (MJ/kWh) is a coefficient for calculating energy usage (MJ) from electricity usage (kWh). The electricity conversion coefficient is, for example, a published value determined hourly (for example, every hour) or monthly (for example, every month) by a public institution and notified by the public institution. Note that the electricity conversion coefficient is sometimes referred to as a primary energy conversion coefficient, a heat amount conversion coefficient, a conversion coefficient, etc.

Regarding electricity conversion coefficients, for example, when controlling renewable energy output, a renewable energy coefficient (set value smaller than the thermal power average coefficient) is used, at other times, the thermal power average coefficient is used, and when supply and demand is tight, the thermal power average is weighted. A coefficient (a setting value greater than the average thermal power coefficient, which is obtained by multiplying the average thermal power coefficient by a coefficient) is used, but is not limited thereto. Renewable energy output control refers to the control of renewable energy by general power transmission and distribution companies to ensure that the amount of power generated does not exceed demand or exceed the upper limit of system capacity (capacity of transmission lines and transformers). This refers to control that suppresses power generation.

The primary energy conversion coefficient (kl/GJ) is a primary energy conversion coefficient (crude oil conversion coefficient), and is a coefficient for calculating the amount of energy consumption (GJ) converted into primary energy (crude oil conversion). The primary energy conversion coefficient is, for example, 0.0258 (kl/GJ).

The primary energy unit price (yen/barrel) is the crude oil price (crude oil unit price), and is obtained from the crude oil market every 5 minutes, for example.

The electricity rate unit price (yen/kWh) is a unit price set by a retail electricity company or the like, and is set every 30 minutes, for example. The electricity rate unit price is a unit price according to the market price (market unit price) in the wholesale power trading market of JEPX (Japan Electric Power Exchange), and is notified by, for example, a retail electricity business. The market price is also referred to as the JEPX price. The wholesale power trading market may be, for example, a day-ahead market (spot market) or a same-day market (an hourly market).

Note that, as shown in FIG. 3, the predetermined time varies depending on the type of coefficient or unit price. In this specification, the term "predetermined time" refers to a period determined depending on the type of coefficient or unit price.

[1-2. Operation of energy resource control system]
Next, the operation of the energy resource control system 1 configured as described above will be explained with reference to FIGS. 4 and 5. FIG. 4 is a sequence diagram showing the operation of the energy resource control system 1 according to this embodiment. In addition, in FIG. 4, an example will be described in which the operation plan creation device 10 is realized by a server device and creates an operation plan for a customer. Furthermore, an example including a controller 20 and an energy resource 30 will be described as the energy resource side device 100 (consumer side device).

The controller 20 is an information terminal that can communicate with the operation plan creation device 10 and the energy resources 30 and can control the operation of the energy resources 30. The controller 20 includes 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 in the consumer based on the operation plan. has. The controller 20 is realized by a computer or a smartphone including a processor, memory, and the like. Specifically, the controller 20 realizes each functional configuration by a processor operating according to a program stored in a memory.

As shown in FIG. 4, the operation plan creation device 10 acquires an electricity conversion coefficient, a primary energy conversion coefficient, an electricity rate unit price, a primary energy unit price, and measurement data from the external system 200 (S11 to S13). The external system 200 includes at least one of a server device that manages electricity conversion coefficients, a server device that manages electricity rate unit prices, and a server device that manages measurement data. Note that the operation plan creation device 10 may acquire measurement data from the controller 20.

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 unit price, primary energy unit price, and measurement data ( S21). The driving plan creation device 10 creates a driving plan using, for example, (Equation 2) above.

Note that if only the electricity conversion coefficient and measurement data are acquired in steps S11 to S13, or if the weight w2 of (Formula 2) is zero, the operation plan creation device 10 determines that the value of (Formula 1) above is the minimum. The device control amount (equipment control amount for each predetermined time) is calculated, and an operation plan is created according to the calculated device control amount. In addition, if the consumer is not a specific business operator, the operation plan creation device 10 calculates the equipment control amount (equipment control amount for each predetermined time) that minimizes the electricity bill by setting w1 to 0, Create an operation plan according to the calculated equipment control amount.

Next, the driving plan creation device 10 transmits the created driving plan to the controller 20, and the controller 20 acquires the driving plan (S22). The controller 20 generates a control command for controlling the energy resource 30 based on the acquired operation plan, and outputs it to the energy resource 30 (S31). The controller 20 may generate the driving plan received from the driving plan creation device 10 as a control command. Further, the controller 20 generates a control command that causes at least one of demand increase (for example, charging, consumption, etc.) and demand reduction (for example, discharge, power generation, etc.) based on the operation plan. The control command includes, for example, the driving mode. Further, the control command includes, for example, when the energy resource 30 is an electric vehicle or a stationary storage battery, at least one of the operation mode and electric power/electric energy for each predetermined time. The power/power amount includes at least one of charging power/charging amount and discharging power/discharging amount. Power/power amount is obtained from (Formula 1). On the other hand, in the operation mode, discharge mode, charge mode, standby mode, stop mode, etc. are specified. Furthermore, (Formula 1) may be transformed into an optimization problem that directly determines the operation mode, or the power/electric energy determined by (Formula 1) may be converted to the operation mode. Note that when the consumer has a plurality of energy resources 30 and specifies the power/power amount, the controller 20 is configured to achieve at least one of the charging power/amount and the discharging power/amount included in the operation plan. Additionally, at least one of the charging power/amount and the discharging power/amount may be distributed to the plurality of energy resources 30.

FIG. 5 is a flowchart showing the operation of the operation plan creation device 10 according to the present embodiment. The operation shown in FIG. 5 is executed, for example, after the electricity conversion coefficient, electricity rate unit price, etc. are determined. Moreover, the operation shown in FIG. 5 is executed, for example, by the day before the target date for creating the driving plan. Note that, below, the target date for creating an operation plan will also be simply referred to as the target date.

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

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

Next, the measurement data acquisition unit 13 of the operation plan creation device 10 acquires past measurement data of the energy resource 30 (S103). The measurement period and acquisition period 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 FIG.

Note that in steps S101 to S103, it is not necessary to obtain all of the electricity conversion coefficient, primary energy conversion coefficient, electricity rate unit price, primary energy unit price, and measurement data, and the publication timing of each coefficient and each unit price, measurement of measurement data, etc. Depending on the timing, only data that has updated data needs to be acquired.

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 measured data (S104). For example, the prediction unit 14 predicts the power generation amount for each predetermined time on the target day based on the weather forecast or past performance data of the power generation amount of power generation equipment, and predicts the power generation amount for each predetermined time on the target day, based on the past performance data of the amount of electricity used. , predict the amount of usage for each predetermined hour of the target day. The prediction unit 14 outputs the predicted power generation amount and usage amount to the operation plan creation unit 15. The prediction cycle of the amount of power generation and the prediction cycle of the usage amount may be the same or different. Note that the method for predicting the amount of power generation and amount used is not particularly limited, and any known method may be used.

Furthermore, the prediction unit 14 may predict the controllable amount (for example, the chargeable amount, the dischargeable amount, etc.) of the energy resource 30 for each predetermined time on the target day. The measurement data includes data indicating the past controllable amount of the energy resource 30, and the prediction unit 14 may predict the controllable amount of the energy resource 30 based on the 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.

Next, the operation plan creation unit 15 of the operation plan creation device 10 calculates the electricity conversion coefficient, the primary energy conversion coefficient, the electricity rate unit price, the primary energy unit price, and predicted data of the amount of power generation and usage (based on the measured data). An operation plan for the energy resource 30 is created based on the information) (S105). The operation plan creation device 10 calculates the equipment control amount (equipment control amount for each predetermined time) that minimizes the value of (Equation 2) above, and creates an operation plan according to the calculated equipment control amount. For example, the driving plan creation device 10 creates a driving plan according to the device control amount for 48 frames every 30 minutes. Steps S104 and S105 correspond to step S21 shown in FIG. 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, when the controllable amount of the energy resource 30 becomes 0, the operation plan creation unit 15 may re-create the operation plan at a cycle shorter than the normal creation cycle.

Next, the driving plan creation unit 15 transmits the created driving plan to the controller 20 (S106). In addition, the operation plan creation unit 15 transmits the created operation plan to at least one of a retail electricity business operator (an example of a first business operator) and a specified wholesale supplier (aggregator) (an example of a second business operator). You may. Further, the operation plan creation unit 15 may transmit the actual controlled power amount of the energy resource 30 to at least one of the retail electricity company and the specified wholesale supplier instead of or together with the operation plan. Step S106 corresponds to step S22 shown in FIG. 4. The driving plan that the driving plan creating unit 15 sends to the controller 20 may include information for each plan of the driving plan creating unit 15, or if the same driving plan continues, the driving plan and the duration. The information may include a set of information. Further, the driving plan creation unit 15 may not transmit the driving plan to the controller 20 if there is no change in the created driving plan.

A specified wholesale supplier is a company that conducts a specified wholesale supply business (aggregation), which integrates consumer-side energy resources (including power generation equipment, power storage equipment, and demand equipment), distributed energy resources, etc. It is a business operator that provides energy services such as virtual power plants (VPPs) and demand response (DR).

Note that the acquisition processing shown in steps S101 to S103 and the driving plan creation processing shown in steps S104 to S106 are not limited to being performed consecutively. The acquisition process and the operation plan creation process may be executed at different timings.

[1-3. About demand shift and operation plan]
FIGS. 6A to 6D are diagrams for explaining demand shifts. The first axis (left axis) in FIGS. 6A to 6D indicates the electricity conversion coefficient (MJ/kWh), and the second axis (right axis) indicates the electricity rate unit price (yen/kWh). FIGS. 6A to 6D show the case where the electricity conversion coefficient varies from time to time. Further, time t1 to t2 shown in FIG. 6A, time t3 to t4 shown in FIG. 6B, and time t5 to t6 shown in FIG. 6C indicate the daytime time period, and time t7 to t8 shown in FIG. 6D indicate the evening time period. The period before that indicates the morning or daytime period, and the period after that indicates the evening or nighttime period.

Figure 6A shows the electricity conversion coefficient and electricity rate unit price when small values are set for the electricity conversion coefficient and electricity rate unit price in the daytime hours, and large values are set for the electricity conversion coefficient and electricity rate unit price in the evening and night hours. It shows the daily fluctuation of By setting the electricity conversion coefficient and electricity rate unit price as shown in Figure 6A, we can increase the amount of electricity used during the day when the supply increases from solar power generation, etc., and reduce the amount of electricity used at night when the demand for electricity increases. It has the effect of reducing

In the case of FIG. 6A, the operation plan creation unit 15 determines the device control amount so as to shift the demand to a time period when the electricity conversion coefficient and electricity rate unit price are small. In other words, the operation plan creation unit 15 increases the amount of electricity used during daytime hours ("demand increase control" in the diagram) and reduces the amount of electricity used especially in the evening and night hours ("demand increase control" in the diagram). The equipment control amount is determined as follows: For example, the operation plan creation unit 15 increases the amount of electricity purchased (that is, increases the amount of equipment control in the upward direction) in the time period (time period from time t1 to time t2), and especially in the time period after time t2. An operation plan will be created to reduce the amount of electricity purchased (in other words, increase the amount of equipment control in the downward direction).

For example, when the operation plan creation unit 15 creates an operation plan using (Formula 1) or (Formula 2), the amount of electricity purchased is increased (that is, equipment control in the upward direction) especially during the time period t1 to t2. An operation plan is created so as to reduce the amount of purchased electricity (in other words, increase the amount of equipment control in the downward direction), especially in the time period after time t2.

Figure 6B shows the daily fluctuations in the electricity conversion coefficient and electricity rate unit price when a small electricity conversion coefficient is set during the daytime hours and a large electricity conversion coefficient is set during the evening and night hours. There is. It is assumed that the electricity rate unit price is a constant value throughout the day.

In the case of FIG. 6B, the operation plan creation unit 15 determines the device control amount so as to shift the demand to a time period when the electricity conversion coefficient and electricity rate unit price are small. That is, the operation plan creation unit 15 increases the amount of electricity used during the daytime hours ("demand increase control" in the figure) and reduces the amount of electricity used in the evening and night hours ("demand decrease control" in the figure). The amount of equipment control is determined as follows: For example, the operation plan creation unit 15 increases the amount of electricity purchased (that is, increases the amount of equipment control in the upward direction) during the time period (time period t3 to t4), and increases the amount of electricity purchased (in other words, increases the amount of equipment control in the upward direction) during the time period (time period from time t3 to time t4), and increases the amount of electricity purchased (in other words, increases the amount of equipment control in the upward direction) during the time period (time period from time t3 to time t4). An operation plan is created to reduce the amount of electricity purchased at night (that is, increase the amount of equipment control in the downward direction).

For example, when the operation plan creation unit 15 creates an operation plan using (Formula 1) or (Formula 2), the amount of purchased electricity is increased (in other words, the amount of equipment control in the upward direction is An operation plan is created so as to increase the amount of electricity purchased (in other words, increase the device control amount in the downward direction) in the time period after time t4.

Figure 6C shows the electricity conversion coefficient and electricity rate unit price for one day when a small value is set for the electricity rate unit price in the daytime period, and a large value is set for the electricity rate unit price and the electricity rate unit price in the evening/night time period. It shows fluctuation.

In the case of FIG. 6C, the operation plan creation unit 15 determines the device control amount so as to shift the demand to a time period in which either the electricity conversion coefficient or the electricity rate unit price is smaller. That is, the operation plan creation unit 15 increases the amount of electricity used during the daytime hours ("demand increase control" in the figure) and reduces the amount of electricity used in the evening and night hours ("demand decrease control" in the figure). The amount of equipment control is determined as follows: For example, the operation plan creation unit 15 increases the amount of electricity purchased (that is, increases the amount of equipment control in the upward direction) in the time period (time period from time t5 to t6), and especially in the time period after time t6. An operation plan will be created to reduce the amount of electricity purchased (in other words, increase the amount of equipment control in the downward direction).

For example, when the operation plan creation unit 15 creates an operation plan using (Formula 1), the amount of purchased electricity is reduced (that is, the amount of equipment control in the downward direction is increased) in the time period after time t6. A driving plan is created. Further, for example, when the operation plan creation unit 15 creates an operation plan using (Equation 2), the amount of electricity purchased is increased (that is, the amount of electricity purchased is An operation plan is created so as to increase the device control amount in the upward direction) and reduce the amount of electricity purchased in the time period after time t6 (that is, increase the device control amount in the downward direction).

FIG. 6D shows daily fluctuations in the electricity conversion coefficient and electricity rate unit price when a large electricity conversion coefficient is set in the evening time zone and a high electricity rate unit price is set in the evening/night time zone.

In the case of FIG. 6D, since the time period when the electricity conversion coefficient is low does not correspond to the time period when the electricity rate unit price is low, the operation plan creation unit 15 implements a system to realize the equipment control amount according to the value of the objective function. An operation plan will be created. For example, when the operation plan creation unit 15 creates an operation plan using (Equation 1), the amount of electricity purchased (in other words, the amount of equipment control in the downward direction is increased) is reduced during the period from time t7 to time t8. An operation plan is created. Further, for example, when the operation plan creation unit 15 creates an operation plan using (Equation 2), the device control amount in each time period is determined so that the value of (Equation 2) becomes the minimum.

[1-4. Effects, etc.]
As described above, the operation plan creation device 10 according to the present embodiment is an operation plan creation device that creates an operation plan for the energy resources 30 installed in a consumer, and converts electricity usage into energy usage. a coefficient acquisition unit 11 (an example of a first acquisition unit) that acquires an electricity conversion coefficient that is an electricity conversion coefficient that can change at a predetermined time interval; and a coefficient acquisition unit 11 (an example of a first acquisition unit) that acquires measurement data regarding the power of the energy resource 30 A measurement data acquisition unit 13 (an example of a second acquisition unit) that calculates the predicted power received by the consumer based on the measurement data, and a prediction unit 14 that calculates the predicted data of the power that the consumer will receive based on the measured data, and the It also includes an operation plan creation section 15 that creates a plan.

Thereby, the operation plan creation device 10 creates an operation plan using the electrical conversion coefficient whose value can change at predetermined time intervals, so it is possible to create an operation plan according to fluctuations in the electrical conversion coefficient. Therefore, the operation plan creation device 10 can reduce energy consumption even when the electricity conversion coefficient changes every predetermined time.

The coefficient acquisition unit 11 further 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 an electricity rate unit price and a primary energy unit price. Be prepared. The operation plan creation unit 15 further creates an operation plan based on the primary energy conversion coefficient, the electricity rate unit price, and the primary energy unit price.

Thereby, the operation plan creation device 10 creates an operation plan using the energy usage amount and the electricity rate, so it is possible to create an operation plan according to fluctuations in the electricity conversion coefficient and the electricity rate unit price. Therefore, the operation plan creation device 10 can further reduce electricity charges.

In addition, the operation plan creation unit 15 calculates a first value based on an electricity conversion coefficient, a primary energy conversion coefficient, a primary energy unit price, and predicted data, and a second value based on an electricity rate unit price and predicted data. An operation plan is created based on the sum of the first value and the second value.

Thereby, by using the sum of the first value and the second value, it is possible to create an operation plan according to fluctuations in the electricity conversion coefficient and electricity rate unit price.

In addition, the operation plan creation unit 15 controls at least one of the operation plan and the actual control amount of power of the energy resource 30 to a retail electricity business that retails electricity (an example of a first business) and to the control of the energy resource 30. The information is sent to at least one of the specified wholesale supply companies (an example of a second company) that performs the above.

This is expected to improve the accuracy of the plans created by allowing retail electricity companies or specified wholesale suppliers to create business-related plans with reference to the operation plan. In addition, it is expected that the accuracy of the plans created will be improved by having retail electricity utilities or specified wholesale suppliers evaluate their performance based on the actual amount of controlled electricity and reflect the performance evaluation in the plans they create. Ru.

Moreover, the energy resource control system 1 according to the present embodiment includes an operation plan creation device 10 and a controller 20 installed at a consumer. The controller 20 includes 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 consumer based on the operation plan. It has a section.

Thereby, the energy resources 30 are controlled based on the operation plan created by the above-mentioned operation plan creation device 10, so that the amount of energy used by the consumer can be automatically reduced.

Further, the operation plan creation method according to the present embodiment is an operation plan creation method for creating an operation plan for the energy resources 30 installed in a consumer, and is an operation plan creation method for creating an operation plan for the energy resources 30 installed in a consumer. An electricity conversion coefficient, which is a conversion coefficient and whose value can fluctuate every predetermined time, is acquired (S101), measurement data regarding the electric power of the energy resource 30 is acquired (S103), and based on the measurement data, the consumer Predicted data of received power is calculated (S104), and an operation plan is created based on the electricity conversion coefficient and the predicted data (S105).

Thereby, the same effect as the above-mentioned operation plan creation device 10 is achieved.

(Modification 1 of the embodiment)
Below, the operation plan creation device according to this modification will be described with reference to FIG. 7. FIG. 7 is a block diagram showing the functional configuration of the energy resource control system 1 according to this modification. In the following, differences from the embodiments will be mainly described, and descriptions of contents that are the same or similar to the embodiments will be omitted or simplified. The functional configuration of the driving plan creation device 10 according to this modification may be the same as the functional configuration of the driving plan creation device 10 according to the embodiment, and the description thereof will be omitted.

As shown in FIG. 7, in addition to the coefficient acquisition unit 11 of the embodiment, the coefficient acquisition unit 11 of the operation plan creation device 10 acquires the emission coefficient for each predetermined time on the target day for creating the operation plan, The obtained emission coefficient is output to the operation plan creation section 15. Further, in addition to the unit price acquisition unit 12 of the embodiment, the unit price acquisition unit 12 of the operation plan creation device 10 acquires the CO ₂ unit price for each predetermined time on the target day for creating the operation plan, and collects the CO ₂ unit price that has been acquired. The unit price is output to the operation plan creation section 15. The emission coefficient and CO ₂ unit price are obtained from the external system 200, for example.

As shown in FIG. 3, the emission coefficient is a coefficient used when calculating greenhouse gas emissions, and is, for example, a CO ₂ emission coefficient. Emission factors are published values published annually. Further, the CO ₂ unit price is a unit price for buying and selling CO ₂ emission allowances (price per unit amount of CO ₂ ), and is set, for example, on a daily basis. The CO ₂ unit price may be a market price (market unit price) such as an emissions futures trading market or an emissions trading market (cap-and-trade system), or may be a credit unit price (baseline system). For example, the CO ₂ unit price includes the unit price set by the consumer (internal carbon price), the unit price of CO ₂ emissions credits traded in the market (CO ₂ emissions trading unit price), and the unit price of CO ₂ emissions traded in the market. It may be any unit price for quantity.

Further, the emission coefficient is determined for each electricity rate menu (for example, the type of power generation to be supplied) of a retail electricity company, for example. When a retail electricity company supplies electricity derived from renewable energy to consumers, the emission factor is 0 or a value close to 0, and when a retail electricity company supplies electricity derived from fossil fuels to consumers, the emission factor is 0 or a value close to 0. A value larger than a value close to 0.

In this way, the operation plan creation unit 15 according to the present modification creates an operation plan based on the emission coefficient and CO ₂ unit price in addition to the electricity conversion coefficient, primary energy conversion coefficient, primary energy unit price, and prediction data. For example, in addition to the first value and the second value, the operation plan creation unit 15 calculates a third value based on the emission coefficient, the CO ₂ unit price, and the predicted data, and calculates the calculated first value, An operation plan may be created based on the sum of the second value and the third value. The driving plan creation unit 15 creates a driving plan using, for example, the following (Formula 3).

Minimize w1 × Σ Electricity conversion coefficient _t × (Usage amount _t - Σ Equipment control amount _it ) × Primary energy conversion coefficient _t × Primary energy unit price _t + w2 × Σ (Demand power amount _t - Σ Equipment control amount _it ) × Electricity rate Unit price _t +w3×ΣEmission coefficient _t ×(Electricity demand _t −ΣDevice control amount _it )× _CO2 unit price _t ...(Formula 3)

The first and second terms of (Formula 3) are the same as (Formula 2), and the _third term is the price (3 An example of the value of The operation plan creation unit 15 uses (Formula 3) to create an operation plan according to the device control amount for each predetermined time that minimizes energy usage, electricity charges, and CO ₂ emissions. Note that w3 is a weighting variable and is set in advance, but may be dynamically changed. In addition, when procuring non-fossil certificates separately, for example, the third term is w3×Σ{emission coefficient _t × (demanded electricity amount _t − equipment control amount _it − non-fossil certificate procurement amount _t )×CO ₂ unit price _t ) + amount of non-fossil certificates procured _t × unit price of non-fossil certificates _t }. At this time, the unit price acquisition unit 12 acquires the unit price of non-fossil certificates.

As described above, the coefficient acquisition unit 11 (an example of a first acquisition unit) of the operation plan creation device 10 according to the present modification further acquires the emission coefficient, and the unit price acquisition unit 12 (an example of a third acquisition unit) further obtains the CO ₂ unit price. The operation plan creation unit 15 further creates an operation plan based on the emission coefficient and the CO ₂ unit price.

As a result, the operation plan creation device 10 creates an operation plan using the energy usage amount, the electricity rate, and the CO ₂ unit price, so it is possible to further reduce CO ₂ emissions.

The operation plan creation unit 15 also generates a first value based on an electricity conversion coefficient, a primary energy conversion coefficient, a primary energy unit price, and predicted data, a second value based on an electricity rate unit price and predicted data, an emission coefficient, and a CO ₂ unit price and a third value based on the predicted data, and create an operation plan based on the sum of the calculated first value, second value, and third value.

Thereby, by using the sum of the first to third values, it is possible to create an operation plan that can reduce CO ₂ emissions.

Further, the CO ₂ unit price is any one of a unit price set by a consumer, a unit price of CO ₂ emission rights traded in the market, and a unit price for CO ₂ emissions traded in the market.

Thereby, the operation plan creation device 10 uses any one of the unit price set by the consumer, the unit price of CO ₂ emission rights traded in the market, and the unit price for CO ₂ emissions traded in the market. , it is possible to create a driving plan.

(Modification 2 of embodiment)
Below, the operation plan creation device according to this modification will be described with reference to FIG. 8. FIG. 8 is a block diagram showing the functional configuration of the energy resource control system 1a according to this modification. Note that, below, differences from the first modification of the embodiment will be mainly described, and descriptions of contents that are the same as or similar to the first modification of the embodiment will be omitted or simplified. The operation plan creation device 10a according to this modification includes a performance calculation unit 16 in addition to the operation plan creation device 10 according to the first modification of the embodiment. Note that in this modification, the measurement data acquisition unit 13 also outputs the acquired measurement data to the performance calculation unit 16.

The performance calculation unit 16 calculates the performance value of the energy resource 30 based on the acquired measurement data. According to the Energy Saving Act, if a business operator's energy consumption (crude oil equivalent value) is 1,500 kl or more, regular reports on energy usage status, etc. are required, and the performance calculation unit 16, for example, Calculate the actual value. For example, the performance calculation unit 16 may calculate the amount of energy used by the customer's business office or the like as a performance value based on the electricity conversion coefficient. For example, the performance calculation unit 16 calculates the amount of energy used by the energy resource 30 by calculating the actual value of the amount of electricity purchased (amount of received power) at each predetermined time by the consumer and the electricity conversion coefficient for each predetermined time. You may calculate the actual value of . The performance calculation unit 16 may calculate the amount of energy used by the customer's business office or the like as a performance value based on the average value of all power sources or the self-generated renewable energy coefficient. The performance calculation unit 16 may calculate performance values such as energy consumption basic unit, industry benchmark, electricity demand leveling evaluation basic unit, electricity demand optimization basic unit, etc. from the calculated energy usage amount. The performance calculation unit 16 may subtract a portion of non-fossil energy from the energy input (measurement data) when calculating the energy consumption unit.

Furthermore, the performance calculation unit 16 may calculate the CO ₂ emissions (Scope 1 emissions or Scope 2 emissions of supply chain emissions) of the energy resource 30 as the performance value, for example, based on the emission coefficient. For example, the performance calculation unit 16 calculates the CO ₂ emissions of the energy resource 30 by calculating the actual value of the amount of electricity purchased (amount of received power) at each predetermined time by the consumer and the emission coefficient for each predetermined time. The actual value of (Scope 2 emissions of supply chain emissions) may be calculated.

Furthermore, the performance calculation unit 16 may calculate the profit obtained by adjusting the device control amount for the business operator or the consumer who manages the operation plan creation device 10.

As described above, the operation plan creation device 10a according to this modification further includes the performance calculation unit 16 that calculates the performance value of the energy resource 30 based on the electricity conversion coefficient and outputs the calculated performance value. Good too. Moreover, the operation plan creation device 10a according to this modification may further include a performance calculation unit 16 that calculates the performance value of the energy resource 30 based on the emission coefficient and outputs the calculated performance value.

This makes it possible to easily create periodic reports required by the revised Energy Saving Law.

(Variation 3 of the embodiment)
Below, the operation plan creation device according to this modification will be described with reference to FIG. 9. FIG. 9 is a block diagram showing the functional configuration of the energy resource control system 1b according to this modification. Note that, below, differences from the second modification of the embodiment will be mainly explained, and descriptions of contents that are the same as or similar to the second modification of the embodiment will be omitted or simplified.

Specified wholesale suppliers may conduct adjustment power transactions with businesses such as retail electricity businesses. For example, based on a request from a business such as a retail electricity business, a general power transmission/distribution business, or a power generation business, the specified wholesale supplier controls the energy resources 30 owned by the consumer as desired based on the request. It may be controlled by conditions. The desired control conditions are, for example, conditions based on electric power services such as demand response (DR). The driving plan creation device 10b according to this modification creates a driving plan in consideration of such requests. Note that the allowable range of the adjustment power may be set in advance by, for example, a contract between a specified wholesale supplier and a consumer.

As shown in FIG. 9, the driving plan creation device 10b according to this modification includes a receiving section 17 in addition to the driving plan creation device 10b according to the second modification of the embodiment.

The receiving unit 17 receives instructions regarding control of the energy resources 30 from the external system 200 . The command includes, for example, the amount of electricity usage adjustment for each predetermined time on the target day. The directive is obtained from at least one of a retail electricity utility and a specified wholesale supplier. Note that the commands include an increase command that indicates an increase in the amount of electricity used, and a decrease command that indicates that the amount of electricity used is reduced. The form of a directive may change due to changes in contracts or market rules.

In addition to the unit price acquisition unit 12 of the second modification of the embodiment, the unit price acquisition unit 12 of the operation plan creation device 10b also acquires and acquires the adjusted unit price for each predetermined time on the target day for creating the operation plan. The adjusted unit price is output to the operation plan creation section 15. The adjusted unit price is obtained from the external system 200, for example.

As shown in Figure 3, the adjustment unit price is the unit price for providing adjustment power (buying and selling adjustment power) with at least one of the retail electricity business and the specified wholesale supplier, and is the unit price for providing adjustment power (buying and selling adjustment power) between the consumer and the retail electricity business. It may be a price (unit price) in a bilateral contract or a bilateral contract between a consumer and a specified wholesale supplier. The adjustment unit price is determined every predetermined period of time, such as 30 minutes, for example. The adjusted unit price may be, for example, a price based on a market price (market unit price) in a supply and demand adjustment market, and is determined at predetermined time intervals such as 5 minutes, 30 minutes, and 3 hours. The adjustment unit price is a unit price for calculating the amount (incentive) to be paid to the consumer for the amount of power adjusted according to the command, and is set at every predetermined time. The adjustment unit price includes an increase adjustment unit price for calculating the amount paid for increasing the amount of electricity used, and an increase adjustment unit price for calculating the amount paid for reducing the amount of electricity used. There is a downward adjustment unit price.

In addition to the modification 2 of the embodiment, the operation plan creation unit 15 according to this modification creates an operation plan based on the command and the adjusted unit price. For example, in addition to the first to third values, the operation plan creation unit 15 calculates a third value based on the adjusted unit price and prediction data, and calculates the calculated first value and second value. An operation plan may be created based on the sum of the third value and the third value. The driving plan creation unit 15 creates a driving plan using, for example, the following (Formula 4).

Minimize w1 × Σ Electricity conversion coefficient _t × (Usage amount _t - Σ Equipment control amount _it ) × Primary energy conversion coefficient _t × Primary energy unit price _t + w2 × Σ (Demand power amount _t - Σ Equipment control amount _it ) × Electricity rate Unit price _t + w3 x Σ Emission coefficient _t x (Electricity demand _t - Σ Equipment control amount _it ) x _CO2 unit price _t + w4 x Σ (-Σ Equipment control amount _it ) x Adjustment unit price _t ... (Formula 4)

The first to third terms of (Formula 4) are the same as (Formula 3), and the fourth term is the price (an example of the fourth value) according to the amount of adjustment power provided by the consumer. . The operation plan creation unit 15 uses (Formula 4) to determine the amount of equipment control for each predetermined time that minimizes energy usage, electricity charges, and CO ₂ emissions, and maximizes the provision of adjustment power. Create an operation plan. Note that w4 is a weighting variable and is set in advance, but may be dynamically changed.

As described above, the operation plan creation device 10b according to the present modification further includes a retail electricity business that retails electricity (an example of a first business) and a specified wholesale supplier (an example of a first business) that controls energy resources. The unit price acquisition unit 12 (an example of a third acquisition unit) includes a receiving unit 17 that receives a command regarding control of the energy resource 30 from at least one of the second business operator (an example of a second business operator), and a unit price acquisition unit 12 (an example of a third acquisition unit) that Obtain an adjusted unit price regarding provision of adjustment power with at least one of the wholesale suppliers. The operation plan creation unit 15 further creates an operation plan for the energy resource 30 based on the adjustment unit price and the command regarding control.

Thereby, the operation plan creation device 10b can create an operation plan corresponding to a command (for example, DR) regarding control of the energy resource 30.

(Other embodiments)
Although the operation plan creation device and the like according to one or more aspects have been described above based on the embodiments, the present invention is not limited to the embodiments and the like. Unless departing from the spirit of the present invention, the present invention may include various modifications that can be thought of by those skilled in the art to this embodiment, and embodiments constructed by combining components of different embodiments. .

For example, in the above embodiments, an example has been described in which the operation plan creation unit determines the device control amount so that the values of (Formula 1) to (Formula 4) are minimized, but the invention is not limited to this. For example, the device control amount may be determined to be equal to or less than a reference value determined by a consumer or the like.

Furthermore, in the above embodiments, etc., an example has been described in which the energy resources of the consumer are controlled based on the operation plan created by the operation plan creation device, but the created operation plan is not proposed to the customer. Good too. For example, the driving plan creation device may transmit the created driving plan to an information terminal managed by the customer.

Further, in the above embodiments, an example has been described in which energy consumption is converted into crude oil as shown in (Formula 2) etc., but it is not limited to converting into crude oil as long as it can be converted into a price. For example, a published conversion factor other than the primary energy conversion factor may be used.

Further, in (Formula 3) in Modification 1 of the above embodiment, the second term may not be included. The driving plan creation unit may create the driving plan using, for example, the following (Formula 5).

Minimization w1 × Σ Electricity conversion coefficient _t × (Usage amount _t - Σ Equipment control amount _it ) × Primary energy conversion coefficient _t × Primary energy unit price _t + w3 × Σ Emission coefficient _t × (Demand power amount _t - Σ Equipment control amount _it ) x _CO2 unit price _t ... (Formula 5)

Thereby, the operation plan creation unit can create an operation plan according to the device control amount for each predetermined time, which minimizes energy consumption and CO ₂ emissions.

Furthermore, in (Formula 4) in Modification 3 of the above embodiment, at least one of the second term and the third term may not be included. The driving plan creation unit may create the driving plan using, for example, the following (Equation 6).

Minimization w1 x Σ Electricity conversion coefficient _t x (Usage amount _t - Σ Equipment control amount _it ) x Primary energy conversion coefficient _t x Primary energy unit price _t + w4 x Σ (-Σ Equipment control amount _it ) x Adjustment unit price _t ... (Formula 6)

Thereby, the operation plan creation unit can create an operation plan compatible with DR while reducing energy consumption.

Further, in the above embodiments and the like, each component may be configured with dedicated hardware, or may be realized by executing a software program suitable for each component. Each component may be realized by a program execution unit such as a CPU or a processor reading and executing a software program recorded on a recording medium such as a hard disk or a semiconductor memory.

Further, the order in which the steps in the flowchart are executed is for illustrative purposes to specifically explain the present invention, and may be in an order other than the above. Furthermore, some of the above steps may be executed simultaneously (in parallel) with other steps, or some of the above steps may not be executed.

Furthermore, the division of functional blocks in the block diagram is just an example; multiple functional blocks can be realized as one functional block, one functional block can be divided into multiple functional blocks, or some functions can be moved to other functional blocks. It's okay. Further, functions of a plurality of functional blocks having similar functions may be processed in parallel or in a time-sharing manner by a single piece of hardware or software.

Further, these general or specific aspects may be implemented in a system, method, integrated circuit, computer program, or non-transitory storage medium such as a computer readable CD-ROM, and the system, method, integrated circuit, etc. It may be realized by any combination of a circuit, a computer program, or a recording medium. The program may be stored in advance on a recording medium, or may be supplied to the recording medium via a wide area communication network including the Internet.

Further, the operation plan creation device according to the above embodiments may be realized as a single device or may be realized by a plurality of devices. When the driving plan creation device is realized by a plurality of devices, each component included in the driving plan creation device may be distributed to 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 driving plan creation device is realized by a plurality of devices, the communication method between the plurality of devices is not particularly limited, and may be wireless communication or wired communication. Additionally, wireless communication and wired communication may be combined between devices.

Furthermore, each of the components described in the above embodiments may be realized as software, or typically, as an LSI that is an integrated circuit. These may be individually integrated into one chip, or may be integrated into one chip including some or all of them. Although it is referred to as an LSI here, it may also be called an IC, system LSI, super LSI, or ultra LSI depending on the degree of integration. Moreover, the method of circuit integration is not limited to LSI, and may be implemented using a dedicated circuit (a general-purpose circuit that executes a dedicated program) or a general-purpose processor. After the LSI is manufactured, a programmable FPGA (Field Programmable Gate Array) or a reconfigurable processor that can reconfigure the connections or settings of circuit cells inside the LSI may be used. Furthermore, if an integrated circuit technology that replaces LSI emerges due to advances in semiconductor technology or other derivative technologies, that technology may of course be used to integrate the components.

A system LSI is a super-multifunctional LSI manufactured by integrating multiple processing units on a single chip, and specifically includes a microprocessor, ROM (Read Only Memory), RAM (Random Access Memory), etc. A computer system that includes: A computer program is stored in the ROM. The system LSI achieves its functions by the microprocessor operating according to a computer program.

Further, one aspect of the present invention may be a computer program that causes a computer to execute each characteristic step included in the operation plan creation method shown in either FIG. 4 or FIG. 5.

Further, for example, the program may be a program to be executed by a computer. Further, one aspect of the present invention may be a computer-readable non-transitory recording medium in which such a program is recorded. For example, such a program may be recorded on a recording medium and distributed or distributed. For example, by installing a distributed program on a device having another processor and having that processor execute the program, it is possible to cause that device to perform each of the above processes.

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 department (3rd acquisition department)
13 Measurement data acquisition section (second acquisition section)
14 Prediction unit 15 Operation plan creation unit 16 Actual performance calculation unit 17 Receiving unit 20 Controller 30 Energy resource

Claims (12)

An operation plan creation device that creates an operation plan for energy resources installed in a consumer,
a first acquisition unit that acquires an electricity conversion coefficient that is an electricity conversion coefficient for converting electricity usage into energy usage and whose value can fluctuate at predetermined time intervals;
a second acquisition unit that acquires measurement data regarding the power of the energy resource;
a prediction unit that calculates predictive data of power received by the consumer based on the measurement data;
An operation plan creation device, comprising: an operation plan creation unit that creates the operation plan based on the electricity conversion coefficient and the prediction data. The first acquisition unit further acquires a primary energy conversion coefficient,
The operation plan creation device further includes a third acquisition unit that acquires an electricity rate unit price and a primary energy unit price,
The operation plan creation device according to claim 1, wherein the operation plan creation unit further creates the operation plan based on the primary energy conversion coefficient, the electricity rate unit price, and the primary energy unit price. The operation plan creation unit calculates a first value based on the electricity conversion coefficient, the primary energy conversion coefficient, the primary energy unit price, and the prediction data, and a second value based on the electricity rate unit price and the prediction data. The driving plan creation device according to claim 2, wherein the driving plan is created based on the calculated sum of the first value and the second value. The first acquisition unit further acquires an emission factor,
The third acquisition unit further acquires a CO ₂ unit price,
The operation plan creation device according to claim 2, wherein the operation plan creation unit further creates the operation plan based on the emission coefficient and the CO ₂ unit price. The operation plan creation unit includes a first value based on the electricity conversion coefficient, the primary energy conversion coefficient, the primary energy unit price, and the prediction data, and a second value based on the electricity rate unit price and the prediction data, The emission coefficient, the CO ₂ unit price, and a third value based on the predicted data are calculated, and based on the sum of the calculated first value, second value, and third value, the The operation plan creation device according to claim 4, which creates an operation plan. Claim 4: The CO ₂ unit price is any one of a unit price set by the consumer, a unit price of CO ₂ emission rights traded in the market, and a unit price for CO ₂ emissions traded in the market. or the operation planning device described in 5. The operation plan creation device according to any one of claims 1 to 5, further comprising a performance calculation unit that calculates a performance value of the energy resource based on the electricity conversion coefficient and outputs the calculated performance value. . The operation plan creation device according to claim 4 or 5, further comprising a performance calculation unit that calculates a performance value of the energy resource based on the emission coefficient and outputs the calculated performance value. The operation plan creation unit determines at least one of the operation plan and the actual controlled power amount of the energy resource by a first business operator that retails electricity and a second business operator that controls the energy resource. The operation plan creation device according to claim 4 or 5, wherein the operation plan creation device transmits to at least one side. Furthermore, it includes a receiving unit that receives a command regarding control of the energy resource from at least one of a first business operator that retails electricity and a second business operator that controls the energy resource,
The third acquisition unit acquires an adjustment unit price regarding provision of adjustment power with at least one of the first business operator and the second business operator,
The operation plan creation device according to any one of claims 2 to 5, wherein the operation plan creation unit further creates an operation plan for the energy resource based on the adjustment unit price and the command regarding the control. The operation plan creation device according to any one of claims 1 to 5,
Equipped with a controller installed at the consumer,
The controller includes:
a fourth acquisition unit that acquires the operation plan created by the operation plan creation device;
An energy resource control system, comprising: a control unit that controls energy resources installed in the consumer based on the operation plan. An operation plan creation method for creating an operation plan for energy resources installed at a consumer, the method comprising:
Obtaining an electricity conversion coefficient for converting electricity usage into energy usage, the value of which can fluctuate at predetermined intervals;
Obtaining measurement data regarding the power of the energy resource,
Based on the measured data, calculate predicted data of the power received by the consumer,
An operation plan creation method, wherein the operation plan is created based on the electricity conversion coefficient and the prediction data.

Images