WO2025205513A1 - Energy conversion plan creation device, and energy conversion device control system and method - Google Patents

Abstract

The present invention improves energy conversion profitability. An energy conversion plan creation device according to one embodiment of the present invention comprises: a smoothing process unit that performs a smoothing process with respect to a prediction value of the electricity market price in a prescribed period in the future; and a plan creation unit that creates an energy conversion plan of an energy conversion device on the basis of the prediction value subjected to the smoothing process.

Description

Energy conversion plan creation device, energy conversion device control system and method

The present invention relates to an energy conversion plan creation device, an energy conversion device control system, and a method.

Traditionally, electricity has been traded in electricity markets such as the spot market. For example, in a spot market, the price of electricity traded in the electricity market (hereinafter also referred to as the electricity market price) fluctuates every time slot (for example, in Japan, one slot is 30 minutes) (meaning that different electricity market prices can be formed for each slot).

Generally, electricity market prices are determined based on the balance between supply and demand, and are cheaper when there is a surplus of electricity and more expensive when there is a shortage. For example, businesses that own storage batteries can increase their profitability by charging their batteries when the electricity market price is cheap and discharging them when the electricity market price is expensive.

For example, when using the spot market, a battery charging and discharging plan is created based on the predicted electricity market price before the electricity market price becomes known, the electricity used for charging is procured from the market, and the discharged electricity is sold back to the market.

Patent No. 5579954

However, it is difficult to predict electricity market prices with a high degree of accuracy, and if electricity market price predictions are incorrect, it will not be possible to achieve sufficient profitability.

The purpose of this invention is to improve the profitability of energy conversion.

An energy conversion plan creation device according to one embodiment of the present invention includes a smoothing processing unit that performs a smoothing process on predicted values of electricity market prices for a predetermined future period, and a plan creation unit that creates an energy conversion plan for an energy conversion device based on the smoothed predicted values.

The present invention makes it possible to improve the profitability of energy conversion.

1 is a diagram showing an overall configuration according to an embodiment of the present invention; FIG. 2 is a diagram illustrating a functional configuration of a control device according to an embodiment of the present invention. 1 is a flowchart of a process for creating an energy conversion plan according to an embodiment of the present invention. FIG. 3 is a sequence diagram of an energy conversion process based on an energy conversion plan according to one embodiment of the present invention. 10A and 10B are diagrams for explaining the difference between a case where smoothing processing is performed and a case where smoothing processing is not performed according to an embodiment of the present invention. 10A and 10B are diagrams for explaining the difference between a case where smoothing processing is performed and a case where smoothing processing is not performed according to an embodiment of the present invention. FIG. 1 is a diagram for explaining an example of application of an energy conversion plan according to an embodiment of the present invention to a virtual power plant. FIG. 2 is a diagram illustrating a hardware configuration of a control device according to an embodiment of the present invention.

The following describes an embodiment of the present invention with reference to the drawings.

<Terminology>
In this specification, "energy conversion" refers to at least one of converting fuel, etc. into electricity (e.g., charging) and converting electricity (electrical energy) into other energy (e.g., discharging).
In this specification, an "energy conversion device" refers to at least one of a power generation device that converts fuel, etc. into electricity (e.g., a thermal power generation device, a fuel cell, etc.), a power utilization device that converts electricity into other energy sources (e.g., a hydrogen production device, an air conditioner, a heat pump, etc.), and a device that can both generate electricity and utilize electricity (e.g., a storage battery, a hydroelectric power generation device, etc.).
In this specification, the "energy conversion plan" refers to at least one of a plan for when and how much fuel or the like is converted into electricity (e.g., a charging plan) and a plan for when and how much electricity is converted into other energy sources (e.g., a discharging plan). The "energy conversion plan" may be a plan that combines plans for conversion into electricity by a plurality of energy conversion devices and plans for conversion from electricity.

<System Configuration>
1 is a diagram showing the overall configuration of an embodiment of the present invention. The energy conversion device control system 1 includes a control device 10 and an energy conversion device 20 controlled by the control device 10.

<<Control device>>
The control device 10 controls the energy conversion device 20 according to the energy conversion plan. The control device 10 can transmit and receive data to and from the energy conversion device 20 via any network. The control device 10 is composed of one or more computers.

The control device 10 includes an energy conversion plan creation device 11. The energy conversion plan creation device 11 performs smoothing processing on predicted values of electricity market prices for a predetermined future period, and creates an energy conversion plan for the energy conversion device 20 based on the smoothed predicted values.

<<Energy conversion device>>
The energy conversion device 20 is any device that converts energy (specifically, converts fuel or the like into electricity, or converts electricity into other energy). For example, the energy conversion device includes at least one of a storage battery, a hydrogen production device, and a power generation device (e.g., a thermal power generation device). The energy conversion device 20 operates in response to commands from the control device 10.

For example, if the energy conversion device 20 is a storage battery, the storage battery charges and discharges in response to commands from the control device 10. Note that storage batteries can include industrial storage batteries, household storage batteries, EVs (Electric Vehicles), etc.

For example, if the energy conversion device 20 is a hydrogen production device, the hydrogen production device adjusts the amount of hydrogen produced in response to commands from the control device 10. Note that the hydrogen production device may include a water electrolysis device that produces hydrogen using electricity from renewable energy sources, an organic hydride production device, etc.

The present invention can also be applied when hydrogen produced in a hydrogen production device using renewable energy is stored in a tank and then used to generate electricity in a power generation device such as a fuel cell or hydrogen power plant. The present invention can also be applied when organic hydride is produced in an organic hydride production device using renewable energy, and the hydrogen extracted from the organic hydride through a dehydrogenation reaction is introduced into a power generation device to generate electricity.

For example, if the energy conversion device 20 is a power generation device (e.g., a thermal power generation device), the power generation device adjusts the amount of power generation in response to commands from the control device 10.

<Functional configuration>
2 is a diagram showing the functional configuration of a control device 10 according to one embodiment of the present invention. The control device 10 can include a predicted value acquisition unit 111, a smoothing processing unit 112, a plan creation unit 113, an information acquisition unit 121, and a command unit 122. The control device 10 can function as the predicted value acquisition unit 111, the smoothing processing unit 112, the plan creation unit 113, the information acquisition unit 121, and the command unit 122 by executing a program.

The energy conversion plan creation device 11 can include a predicted value acquisition unit 111, a smoothing processing unit 112, and a plan creation unit 113. By executing a program, the energy conversion plan creation device 11 can function as the predicted value acquisition unit 111, the smoothing processing unit 112, and the plan creation unit 113.

The forecast value acquisition unit 111 acquires a forecast value for the electricity market price for a specified future period (e.g., the next day, the next week, etc.).

In addition, any method can be used to predict electricity market prices. For example, the method for predicting electricity market prices may be a method based on electricity demand forecasts and power source operation status, or a method based on past performance using machine learning or other methods.

[Electricity market price]
Here, the electricity market price will be explained. The electricity market price is the price of electricity traded in the electricity market at a predetermined time. Note that the predetermined time may be a time period (i.e., a period of time from one time to another) or a time (i.e., a moment).

For example, the electricity market price is the price of electricity traded in the electricity market during a specified time period. For example, the specified time period is the time span of one unit (e.g., 30 minutes in Japan), which is the unit of trading in the electricity market (e.g., the spot market).

The smoothing processing unit 112 performs smoothing processing on the predicted value of the electricity market price for a specified future period acquired by the predicted value acquisition unit 111.

Any method can be used as the smoothing method. For example, the smoothing process can be a moving average process, or a smoothing process using a Gaussian filter. The width of the section used for the smoothing process can be any width, but it is preferable to use a width of no more than five frames before and after the reference frame, and more preferably two to four frames before and after the reference frame.

The moving average process calculates the average value of the predicted values within an interval centered on a reference frame (for example, the simple average value of multiple frames within the interval).

In the smoothing process using a Gaussian filter, a weighted average is calculated for predicted values within an interval centered on a reference frame, with weights based on coefficients based on a kernel with a normal distribution shape.

The plan creation unit 113 creates an energy conversion plan for the energy conversion device 20 based on the predicted value of the electricity market price smoothed by the smoothing processing unit 112. For example, the plan creation unit 113 uses mathematical programming (mathematical optimization). For example, the objective function of the mathematical programming includes the sum, over a predetermined period (e.g., one day, one week, etc.), of the product of the predicted value of the electricity market price smoothed for each time and the amount of charged and discharged electricity. Note that each time may be a time period (i.e., a span of time from one time to another) or a time (i.e., a moment in time).

The objective function of the mathematical programming (for a one-day plan with 30-minute time periods) is expressed by the following formula. c_i is the predicted value of the smoothed electricity market price at time i, and E_i is the amount of charged/discharged electricity at time i.

In addition, constraints in mathematical programming may include the maximum value of charging and discharging power, the continuity of the storage battery's SoC (State of charge, which indicates the charging rate or state of charge), and upper and lower limits of the storage battery's SoC.

[Energy Conversion Plan]
The energy conversion plan will now be described. For example, the energy conversion plan is either a plan for the next day (i.e., a one-day plan) or a plan for the next week (i.e., a one-week plan).

For example, the energy conversion plan is a plan for charging and discharging the storage battery. The energy conversion plan is created based on the predicted value of the electricity market price smoothed by the smoothing processing unit 112 and the SoC of the storage battery.

For example, the energy conversion plan is a hydrogen production plan for a hydrogen production device. The energy conversion plan is created based on the predicted value of the electricity market price smoothed by the smoothing processing unit 112, the hydrogen inventory amount, and the hydrogen demand forecast value.

For example, the energy conversion plan is a power generation plan for a power generation device. The energy conversion plan is created based on the predicted value of the electricity market price, fuel price, fuel inventory, and power demand forecast value, all of which have been smoothed by the smoothing processing unit 112.

[Multiple energy conversion plans]
For example, the energy conversion device 20 may include a storage battery, a hydrogen production device, and a power generation device, and the plan creation unit 113 may create a charging plan and a discharging plan for the storage battery based on the SoC of the storage battery, create a hydrogen production plan for the hydrogen production device based on the hydrogen demand forecast value, and create a power generation plan for the power generation device based on the power demand forecast value.

For example, the energy conversion device 20 may include a hydrogen production device, an organic hydride production device, and a power generation device, and the plan creation unit 113 may create a hydrogen production plan for the hydrogen production device, an organic hydride production plan for the organic hydride production device, and a power generation plan for the power generation device based on the hydrogen demand forecast value and the power demand forecast value.

The information acquisition unit 121 acquires information about the energy conversion device 20 from the energy conversion device 20.

The command unit 122 controls the energy conversion device 20 in accordance with the energy conversion plan for the energy conversion device 20 created by the plan creation unit 113. Specifically, the command unit 122 commands the energy conversion device 20 to convert energy in accordance with the energy conversion plan for the energy conversion device 20 created by the plan creation unit 113.

<Processing method>
FIG. 3 is a flowchart of a process for creating an energy conversion plan according to an embodiment of the present invention.

In step 1 (S1), the forecast value acquisition unit 111 acquires a forecast value for the electricity market price for a specified future period.

In step 2 (S2), the smoothing processing unit 112 performs smoothing processing on the predicted value of the electricity market price for a specified future period obtained in S1.

In step 3 (S3), the plan creation unit 113 creates an energy conversion plan for the energy conversion device 20 based on the predicted values smoothed in S2.

Figure 4 is a sequence diagram of the energy conversion process based on an energy conversion plan according to one embodiment of the present invention.

In step 11 (S11), the energy conversion plan creation device 11 executes the process of creating an energy conversion plan for the energy conversion device 20 (S1 to S3 in Figure 3).

In step 12 (S12), the energy conversion plan creation device 11 sends the energy conversion plan for the energy conversion device 20 created in S11 to the command unit 122.

In step 13 (S13), the command unit 122 controls the energy conversion device 20 in accordance with the energy conversion plan of S12. Specifically, the command unit 122 commands the energy conversion device 20 to convert energy in accordance with the energy conversion plan of S12.

In step 14 (S14), the energy conversion device 20 converts energy in response to a command from the command unit 122.

Figure 5 is a diagram illustrating the difference between when smoothing processing is performed and when it is not performed, according to one embodiment of the present invention.

Figure 5 shows the revenue results for price differential trading based on a charge/discharge simulation for the period from April 1, 2023 to September 30, 2023, when price differential trading is conducted in the spot market of the Japan Electric Power Exchange (JEPX) using a storage battery with a rated output of 5 MW and a rated capacity of 10 MWh. In all examples and comparative examples, the predicted value for S1 in Figure 3 is the spot market price as of 8:00 a.m. the previous day, which was obtained from an external institution.

The comparative example shows the results when the smoothing process in S2 of Figure 3 is not performed.

Examples 1-1 to 1-4 show the results when smoothing processing is performed using a simple average of the interval from one frame before and after to four frames before and after.

Examples 2-1 to 2-4 show the results of smoothing processing by applying a Gaussian filter to one to four frames before and after.

In all examples, the number of charge/discharge cycles per day ("Number of charge/discharge cycles per day" in Figure 5) decreased, while the price differential trading revenue ("Price differential trading revenue per day" in Figure 5) and revenue per discharge amount ("Revenue per discharge amount" in Figure 5) increased, indicating that profitability can be improved by performing appropriate smoothing processing. This shows that deterioration associated with the charging and discharging of storage batteries is suppressed, while at the same time, the damage to price differential trading revenue due to incorrect predictions of electricity market prices is suppressed, indicating that the expected effects are being achieved.

Figure 6 is a diagram illustrating the difference between when smoothing processing is performed and when smoothing processing is not performed according to one embodiment of the present invention.

- "Actual spot market price" indicates the price of electricity actually traded in the electricity market.
"Spot market price forecast (before smoothing)" indicates the forecast value of the electricity market price without smoothing processing.
"Spot market price forecast (after smoothing: Example 1-2)" indicates the forecast value of the electricity market price after smoothing processing using a simple average of the two frames before and after.
"Charge/Discharge Amount (Comparative Example)" indicates a charge/discharge amount plan created based on predicted values of the electricity market price that have not been subjected to smoothing processing.
"Charge/Discharge Amount (Example 1-2)" indicates a charge/discharge amount plan created based on predicted values of the electricity market price that have been smoothed by simple averaging of the two frames before and after.

As shown in Figure 6a, if smoothing processing is not performed, charging and discharging will occur based on small price differences in the predicted value of the electricity market price. However, such small price differences rarely occur in the actual electricity market price as predicted, and as a result, as shown in Figure 6a, the average price during discharging is lower than the average price during charging, and charging and discharging often results in a negative balance. By performing smoothing processing, small price differences in the predicted value of the electricity market price are averaged out, and as a result, it is possible to reduce such small charging and discharging and price difference trading where prediction accuracy cannot be expected.

As shown in Figure 6b, when there are consecutive frames where the predicted electricity market price is 0.01 yen/kWh, the probability that the price will actually be 0.01 yen/kWh varies for each frame, and it is thought that the first and last frames of the time period where the price is 0.01 yen/kWh are less likely to actually be 0.01 yen/kWh. However, when this predicted data is used to create a plan, the difference in the probability of the price actually being 0.01 yen/kWh is not usually taken into account, and a plan is created to charge at a random frame among these frames. By performing smoothing processing, the first and last frames of the time period where the price is 0.01 yen/kWh are averaged with the prices of the frames before and after, resulting in a predicted price higher than 0.01 yen/kWh. This makes it possible to obtain a plan to charge near the center of the time period where the price is 0.01 yen/kWh, increasing the likelihood of creating a plan to charge at a time when the electricity market price is likely to be 0.01 yen/kWh.

FIG. 7 is a diagram illustrating an example of application of an energy conversion plan according to one embodiment of the present invention to a virtual power plant. As shown in FIG. 7, the energy conversion plan created by the energy conversion plan creation device 11 may be a plan for converting energy used by a virtual power plant (VPP) 2 that buys and sells electricity in the electricity market system 4.

For example, each of the multiple control devices 10 can create an energy conversion plan for each of the multiple energy conversion devices 20 controlled by the control device 10. The integrated control device 3 may also be equipped with an energy conversion plan creation device 11 (in this case, the integrated control device 3 can create an energy conversion plan for each of the multiple energy conversion devices 20 controlled by each of the multiple control devices 10).

In this way, by creating a plan for the energy conversion of multiple energy conversion devices 20 (specifically, at least one of converting fuel, etc. into electricity and converting electricity into other energy sources), multiple energy conversion devices 20 can be managed collectively to adjust supply and demand (when the electricity market price is low, electricity is converted into other energy sources, and when the electricity market price is high, fuel, etc. is converted into electricity).

Specifically, it is possible to combine and control the targets of supply and demand adjustment (i.e., energy conversion devices 20) according to the predicted value of the electricity market price after smoothing processing. For example, when the electricity market price is low, in addition to charging the storage battery, the water electrolysis device and organic hydride production device are controlled taking into account the remaining hydrogen tank and organic hydride tank, etc. When the electricity market price is high, it becomes possible to perform integrated management such as discharging the storage battery and generating electricity using hydrogen and organic hydride.

<Effects>
In one embodiment of the present invention, fluctuations in the electricity market price are taken into consideration, thereby reducing energy costs and improving energy efficiency. Specifically, by performing a smoothing process on the predicted value of the electricity market price, it is possible to extract and reflect price trends with high prediction accuracy (i.e., rough trends in fluctuations in the electricity market price) in charging and discharging, while suppressing wasteful charging and discharging caused by taking into consideration small price differences with low prediction accuracy (i.e., fine trends in fluctuations in the electricity market price).

With the spread of solar power generation, electricity market prices are shown as a curve that shows lower prices during the day and higher prices in the evening. While the general trends in such electricity market price fluctuations can be predicted with a relatively high degree of accuracy, it is difficult to predict the detailed trends in electricity market price fluctuations with a high degree of accuracy. For example, a typical method for creating a battery charge/discharge plan is to create a charging and discharging plan when a certain value difference is predicted in the electricity market price. With this method, the charge/discharge plan is created without distinguishing between electricity market prices with low prediction accuracy (i.e., the detailed trends in electricity market price fluctuations) and electricity market prices with high prediction accuracy (i.e., the general trends in electricity market price fluctuations), resulting in unnecessary charging and discharging, which ultimately reduces profitability. By performing a smoothing process on the predicted value of the electricity market price, as in the present invention, profitability can be improved.

<Hardware configuration>
8 is a diagram showing the hardware configuration of the control device 10 according to one embodiment of the present invention. The same applies to the energy conversion plan creation device 11.

The control device 10 can include a control unit 1001, a main memory unit 1002, an auxiliary memory unit 1003, an input unit 1004, an output unit 1005, and an interface unit 1006. Each of these units will be described below.

The control unit 1001 is a processor (e.g., a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), etc.) that executes various programs installed in the auxiliary storage unit 1003.

The main memory unit 1002 includes non-volatile memory (ROM (Read Only Memory)) and volatile memory (RAM (Random Access Memory)). The ROM stores various programs, data, etc. required for the control unit 1001 to execute the various programs installed in the auxiliary memory unit 1003. The RAM provides a working area into which the various programs installed in the auxiliary memory unit 1003 are expanded when executed by the control unit 1001.

The auxiliary memory unit 1003 is an auxiliary memory device that stores various programs and information used when the various programs are executed.

The input unit 1004 is an input device through which the operator of the control device 10 inputs various instructions to the control device 10.

The output unit 1005 is an output device that outputs the internal state of the control device 10, etc.

The interface unit 1006 is a communication device that connects to a network and communicates with other devices.

Although the embodiments of the present invention have been described in detail above, the present invention is not limited to the specific embodiments described above, and various modifications and variations are possible within the scope of the gist of the present invention.

[Note]
This specification discloses at least the following devices, systems, methods, programs, and storage media.
(Appendix 1)
a smoothing processing unit that performs a smoothing process on the predicted value of the electricity market price for a predetermined future period;
and a plan creation unit that creates an energy conversion plan for the energy conversion device based on the predicted value that has been smoothed.
(Appendix 2)
The energy conversion plan creation device according to (Supplementary Note 1), wherein the smoothing process is a moving average process.
(Appendix 3)
The energy conversion plan creation device according to (Supplementary Note 1) or (Supplementary Note 2), wherein the electricity market is a spot market.
(Appendix 4)
In the smoothing process, up to five frames before and after the reference frame are used (Supplementary Note 3).
The energy conversion plan creation device according to claim 1.
(Appendix 5)
The energy conversion plan uses mathematical programming,
The energy conversion plan creation device according to any one of (Appendix 1) to (Appendix 4), wherein the objective function of the mathematical programming includes the sum, over the specified period, of the products of the smoothed predicted values and the charge/discharge power amounts for each time period.
(Appendix 6)
An energy conversion plan creation device described in any of (Appendix 1) to (Appendix 5), wherein the energy conversion plan is a plan that combines plans for conversion into electricity and plans for conversion from electricity by multiple energy conversion devices.
(Appendix 7)
The energy conversion plan creation device according to any one of (Supplementary Note 1) to (Supplementary Note 6), wherein the energy conversion plan is a charging plan and a discharging plan for a storage battery.
(Appendix 8)
The energy conversion plan creation device according to (Supplementary Note 7), wherein the energy conversion plan is created based on the SoC of the storage battery.
(Appendix 9)
The energy conversion plan creation device according to any one of (Appendix 1) to (Appendix 8), wherein the energy conversion plan is a hydrogen production plan for a hydrogen production device and is created based on a hydrogen demand forecast value.
(Appendix 10)
The energy conversion plan creation device according to any one of (Supplementary Note 1) to (Supplementary Note 9), wherein the energy conversion plan is a power generation plan for a power generation device and is created based on a predicted power demand value.
(Appendix 11)
the energy conversion device includes a storage battery, a hydrogen production device, and a power generation device;
The energy conversion plan creation device described in any one of (Appendix 1) to (Appendix 10), wherein the plan creation unit creates a charging plan and a discharging plan for the storage battery based on the SoC of the storage battery, creates a hydrogen production plan for the hydrogen production device based on a hydrogen demand forecast value, and creates a power generation plan for the power generation device based on a power demand forecast value.
(Appendix 12)
the energy conversion device includes a hydrogen production device, an organic hydride production device, and a power generation device;
An energy conversion plan creation device described in any of (Appendix 1) to (Appendix 11), wherein the plan creation unit creates a hydrogen production plan for the hydrogen production device, an organic hydride production plan for the organic hydride production device, and a power generation plan for the power generation device based on a hydrogen demand forecast value and a power demand forecast value.
(Appendix 13)
The energy conversion plan creation device according to any one of (Supplementary Note 1) to (Supplementary Note 12), wherein the energy conversion plan is either a plan for the next day or a plan for the next week.
(Appendix 14)
An energy conversion device control system including a control device and an energy conversion device controlled by the control device,
The control device
a smoothing processing unit that performs a smoothing process on the predicted value of the electricity market price for a predetermined future period;
a plan creation unit that creates an energy conversion plan for the energy conversion device based on the predicted value that has been smoothed;
and a command unit that controls the energy conversion device according to the energy conversion plan.
(Appendix 15)
A method executed by an energy conversion device control system including a control device and an energy conversion device controlled by the control device, the method comprising:
The control device performs a smoothing process on a predicted value of the electricity market price for a predetermined future period;
The control device creates an energy conversion plan for the energy conversion device based on the predicted value that has been smoothed;
and the controller controlling the energy conversion device according to the energy conversion plan.
(Appendix 16)
A program that causes a computer to execute the method of (Appendix 15), or a storage medium that stores the program.

This international application claims priority from Japanese Patent Application No. 2024-048945, filed on March 26, 2024, the entire contents of which are hereby incorporated by reference into this international application.

REFERENCE SIGNS LIST 1 Energy conversion device control system 2 Virtual power plant 3 Integrated control device 4 Electricity market system 10 Control device 11 Energy conversion plan creation device 20 Energy conversion device 111 Prediction value acquisition unit 112 Smoothing processing unit 113 Plan creation unit 121 Information acquisition unit 122 Command unit 1001 Control unit 1002 Main memory unit 1003 Auxiliary memory unit 1004 Input unit 1005 Output unit 1006 Interface unit

Claims (15)

a smoothing processing unit that performs a smoothing process on the predicted value of the electricity market price for a predetermined future period;
and a plan creation unit that creates an energy conversion plan for the energy conversion device based on the predicted value that has been smoothed. The energy conversion plan creation device of claim 1, wherein the smoothing process is a moving average process. The energy conversion plan creation device of claim 1, wherein the electricity market is a spot market. The energy conversion plan creation device of claim 3, wherein the smoothing process uses up to five frames before and after the reference frame. The energy conversion plan uses mathematical programming,
2. The energy conversion plan creation device according to claim 1, wherein an objective function of the mathematical programming includes a sum, over the predetermined period, of a product of the smoothed predicted value for each time period and the amount of charge/discharge power. The energy conversion plan creation device of claim 1, wherein the energy conversion plan is a plan that combines plans for conversion to electricity and plans for conversion from electricity by multiple energy conversion devices. The energy conversion plan creation device of claim 1, wherein the energy conversion plan is a charging plan and a discharging plan for a storage battery. The energy conversion plan creation device of claim 7, wherein the energy conversion plan is created based on the SoC of the storage battery. The energy conversion plan creation device of claim 1, wherein the energy conversion plan is a hydrogen production plan for a hydrogen production device and is created based on a hydrogen demand forecast value. The energy conversion plan creation device of claim 1, wherein the energy conversion plan is a power generation plan for a power generation device and is created based on a predicted power demand value. the energy conversion device includes a storage battery, a hydrogen production device, and a power generation device;
2. The energy conversion plan creation device according to claim 1, wherein the plan creation unit creates a charging plan and a discharging plan for the storage battery based on an SoC of the storage battery, creates a hydrogen production plan for the hydrogen production device based on a hydrogen demand forecast value, and creates a power generation plan for the power generation device based on a power demand forecast value. the energy conversion device includes a hydrogen production device, an organic hydride production device, and a power generation device;
2. The energy conversion plan creation device according to claim 1, wherein the plan creation unit creates a hydrogen production plan for the hydrogen production device, an organic hydride production plan for the organic hydride production device, and a power generation plan for the power generation device based on a hydrogen demand forecast value and an electric power demand forecast value. The energy conversion plan creation device of claim 1, wherein the energy conversion plan is either a plan for the next day or a plan for the next week. An energy conversion device control system including a control device and an energy conversion device controlled by the control device,
The control device
a smoothing processing unit that performs a smoothing process on the predicted value of the electricity market price for a predetermined future period;
a plan creation unit that creates an energy conversion plan for the energy conversion device based on the predicted value that has been smoothed;
and a command unit that controls the energy conversion device according to the energy conversion plan. A method executed by an energy conversion device control system including a control device and an energy conversion device controlled by the control device, the method comprising:
The control device performs a smoothing process on a predicted value of the electricity market price for a predetermined future period;
The control device creates an energy conversion plan for the energy conversion device based on the predicted value that has been smoothed;
and the controller controlling the energy conversion device according to the energy conversion plan.