Energy management systems, energy management methods, and programs

Abstract

A microgrid, including multiple energy storage devices of different types, is optimally operated based on various evaluation metrics and equipment operating priorities. [Solution] An energy management system for managing a microgrid including a water electrolysis device and multiple types of energy storage devices comprises: a state acquisition unit that acquires the operating status of the water electrolysis device from operating data of the water electrolysis device acquired at predetermined time intervals; an optimization unit that determines the priority according to the type of energy storage device; and an operation planning unit that creates an operation plan for each energy storage device according to the priority. The energy storage devices include an energy storage system and a hydrogen storage system. The optimization unit increases the priority of the hydrogen storage system when the water electrolysis device is in an operating state capable of producing hydrogen, and increases the priority of the energy storage system when the water electrolysis device is not in an operating state capable of producing hydrogen.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to an energy management system, an energy management method, and a program.

BACKGROUND ART

[0002] Since entering the 2020s, the introduction of energy supply systems such as microgrids has been progressing. In microgrids, for the purpose of reducing energy costs and greenhouse gas emissions, multiple types of power generation facilities, energy storage facilities, or hydrogen-related systems, such as renewable energy power generators including photovoltaic power generators, cogeneration systems capable of generating electric power and heat, energy storage devices including power storage devices and heat storage devices, water electrolysis devices, and hydrogen storage devices, may be used in combination.

[0003] For example, Patent Document 1 discloses an invention that formulates an operation plan including the amount of power purchased from a grid connected to other renewable energy power generators based on the predicted power generation amount of the renewable energy power generators in a microgrid that includes thermal power generation facilities and renewable energy power generators, in order to improve the renewable energy utilization rate in the power consumption of the microgrid.

PRIOR ART DOCUMENTS

PATENT DOCUMENTS

[0004]

PATENT DOCUMENT 1

SUMMARY OF THE INVENTION

PROBLEMS TO BE SOLVED BY THE INVENTION

[0005] However, the conventional art has a problem that it is not possible to optimally control multiple types of energy storage devices included in a microgrid so as to satisfy evaluation indices such as energy costs.

[0006] In light of the technical challenges described above, this disclosure aims to optimize the operation of a microgrid, which includes multiple energy storage devices of different types, based on the priority of the devices determined from the responsiveness and evaluation indicators of the devices. [Means for solving the problem]

[0007] An energy management system according to one aspect of this disclosure is an energy management system for managing a microgrid including energy storage devices that each have different equipment specifications such as storage capacity, input / output responsiveness, storage efficiency, storage capacity degradation rate, natural energy decay, and energy storage form, and comprises an optimization unit configured to determine the priority of energy storage devices that best satisfy target values ​​of evaluation indicators such as energy storage efficiency (including the effect of auxiliary power), running costs, energy self-sufficiency rate, and carbon dioxide emissions, and an operation planning unit configured to create an operation plan for each energy storage device according to the priority. In the optimization unit, for example, if a sudden energy surplus or shortage occurs, an energy storage device with high responsiveness is selected, and if a relatively small amount of energy is to be stored, an energy storage device with high storage efficiency and low natural energy decay is selected, and if the demand form is clear, an energy storage device of the same form as the demand form is selected. Furthermore, an energy management system according to one aspect of the present disclosure is an energy management system for managing a microgrid including a water electrolyzer and a plurality of types of energy storage devices, comprising: a state acquisition unit configured to acquire the operating status of the water electrolyzer from operating data of the water electrolyzer acquired at predetermined time intervals; an optimization unit configured to determine a priority according to the type of energy storage device; and an operation planning unit configured to create an operation plan for each of the energy storage devices according to the priority, wherein the energy storage devices include an energy storage system and a hydrogen storage system, and the optimization unit is configured to increase the priority of the hydrogen storage system when the water electrolyzer is in an operating state capable of producing hydrogen, and to increase the priority of the energy storage system when the water electrolyzer is not in an operating state capable of producing hydrogen. Furthermore, an energy management system according to one aspect of the present disclosure is an energy management system for managing a microgrid including a water electrolyzer and a plurality of types of energy storage devices, comprising: a state acquisition unit configured to acquire the operating status of the water electrolyzer from operating data of the water electrolyzer acquired at predetermined time intervals; an optimization unit configured to determine a priority according to the type of energy storage device; and an operation planning unit configured to create an operation plan for each of the energy storage devices according to the priority, wherein the energy storage device includes an energy storage system and a hydrogen storage system, and further comprises a characteristic acquisition unit that acquires the degradation degree and responsiveness characteristics of the energy storage system, and the optimization unit is configured to set a high operating priority for the battery in order to preferentially use the power stored in the battery, while taking into account the degradation degree and responsiveness acquired by the characteristic acquisition unit. Furthermore, an energy management system according to one aspect of the present disclosure is an energy management system for managing a microgrid including a water electrolyzer and an energy storage device, comprising: a state acquisition unit configured to acquire the operating status of the water electrolyzer from operating data of the water electrolyzer acquired at predetermined time intervals; and an operation planning unit configured to create an operation plan for the energy storage device, wherein the energy storage device includes a hydrogen storage system, and the operation planning unit is configured to create an operation plan including a hydrogen production plan for the water electrolyzer to satisfy the difference between the amount of hydrogen produced by the water electrolyzer included in the operating data and the hydrogen demand in the microgrid. Furthermore, an energy management system according to one aspect of the present disclosure is an energy management system for managing a microgrid including a water electrolyzer, a plurality of types of energy storage devices, a fuel cell, and a hydrogen boiler, comprising: a state acquisition unit configured to acquire the operating status of the water electrolyzer from operating data of the water electrolyzer acquired at predetermined time intervals; an optimization unit configured to determine a priority order according to the type of energy storage device; and an operation planning unit configured to create an operation plan for each of the energy storage devices according to the priority order, wherein the energy storage devices include an energy storage system and a hydrogen storage system, and the operation planning unit is configured to create an operation plan for the water electrolyzer in order of the order of hydrogen, electricity, and heat with the highest conversion efficiency from hydrogen. Furthermore, an energy management system according to one aspect of the present disclosure is an energy management system for managing a microgrid including a water electrolyzer and a plurality of types of energy storage devices, comprising: a state acquisition unit configured to acquire the operating status of the water electrolyzer from operating data of the water electrolyzer acquired at predetermined time intervals; an optimization unit configured to determine a priority order according to the type of energy storage device; an operation planning unit configured to create an operation plan for each of the energy storage devices according to the priority order; an operation data acquisition unit configured to collect the operation data; and a demand forecasting unit configured to forecast the power demand and hydrogen demand of the microgrid based on the operation data, wherein the energy storage devices include an energy storage system and a hydrogen storage system, and the demand forecasting unit is configured to calculate predicted values ​​of power demand and hydrogen demand based on measured values ​​from sensors of each device included in the microgrid. Furthermore, an energy management system according to one aspect of the present disclosure is an energy management system for managing a microgrid including a water electrolyzer and a plurality of types of energy storage devices, comprising: a state acquisition unit configured to acquire the operating status of the water electrolyzer from operating data of the water electrolyzer acquired at predetermined time intervals; an optimization unit configured to determine a priority according to the type of energy storage device; an operation planning unit configured to create an operation plan for each of the energy storage devices according to the priority; an operation data acquisition unit configured to collect the operation data; and a demand forecasting unit configured to forecast the electricity demand and hydrogen demand of the microgrid based on the operation data, wherein the energy storage devices include an energy storage system and a hydrogen storage system, and the demand forecasting unit is configured to calculate predicted values ​​of electricity demand and hydrogen demand based on a regression model based on past operating data, the structure of which the regression model is a machine learning model, a neural network or a deep neural network. [Effects of the Invention]

[0008] According to one aspect of this disclosure, a microgrid including multiple energy storage devices of different types can be optimally operated based on the priority of the devices determined from the responsiveness and evaluation indicators of various devices. [Brief explanation of the drawing]

[0009] [Figure 1] This is a block diagram showing an example of the overall configuration of a microgrid. [Figure 2] A block diagram showing an example of a computer hardware configuration. [Figure 3] This is a block diagram showing an example of the functional configuration of an energy management system. [Figure 4] This flowchart shows an example of the processing procedure for the energy management method in the first embodiment. [Figure 5] This flowchart shows an example of the processing procedure for the energy management method in the second embodiment. [Figure 6] This flowchart shows an example of the processing procedure for the energy management method in the third embodiment. [Modes for carrying out the invention]

[0010] Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. In this specification and drawings, components having substantially the same functional configuration are denoted by the same reference numerals, and redundant descriptions will be omitted.

[0011] [First Embodiment] One embodiment of the present disclosure is an energy management system for controlling a microgrid. The microgrid in this embodiment has multiple types of energy storage devices and hydrogen-related equipment, etc., with the aim of achieving self-sufficiency using renewable energy, etc. The energy storage devices in this embodiment include, as an example, a battery for storing electricity and a thermal storage device for storing thermal energy. The hydrogen-related equipment in this embodiment includes, as an example, a hydrogen storage device for storing hydrogen by electrolyzing water.

[0012] Energy storage devices have operating characteristics that correspond to the principle of energy storage and its implementation. In this embodiment, focusing on responsiveness as an operating characteristic of energy storage devices, an energy management system is realized that can optimally operate a microgrid including multiple types of energy storage devices based on various evaluation indicators. For example, when multiple types of energy storage devices with different responsiveness are included, the microgrid can be operated efficiently by formulating an operating plan that takes into account the constraints arising from the differences in responsiveness. Also, for example, when multiple types of energy storage devices with different characteristics are included, the microgrid can be operated optimally based on various evaluation indicators by formulating an operating plan that takes into account the constraints arising from the differences in characteristics. More specifically, assuming cooperation with the wholesale electricity market, the system minimizes the cost of electricity trading for the building's energy load (electricity and heat) using various energy storage devices and hydrogen-related devices. Alternatively, it minimizes the cost of received electricity over a certain period. Furthermore, the degree of deterioration of each component device is quantified as a cost, and a control plan that minimizes deterioration is implemented. Furthermore, if it is desired to establish a priority order among identical component devices (such as storage batteries), and this priority order is not reflected in the above-mentioned costs, then the priority order for each device is set as a constraint. In this embodiment, an optimal energy management system is realized by the above-mentioned approach.

[0013] <Overall configuration of the microgrid> The overall configuration of the microgrid in the present embodiment will be described with reference to Figure 1. Figure 1 is a block diagram showing an example of the overall configuration of the microgrid in the present embodiment.

[0014] As shown in Figure 1, the microgrid 1 in the present embodiment is connected to the grid 2 via a power distribution line E. The grid 2 is a power system different from the microgrid 1, and is managed by an energy supplier different from the operator of the microgrid 1.

[0015] The microgrid 1 in the present embodiment includes a consumer 3, an energy management system 10, a solar power generation device 11, a biomass power generation device 12, a plurality of storage batteries 13 (a first storage battery 13-1 and a second storage battery 13-2), a power storage control device 14, a heat storage device 15, a water electrolysis device 16, a fuel cell 17, a hydrogen storage device 18, a hydrogen boiler 19, and a heat source device 20.

[0016] The solar power generation device 11, the biomass power generation device 12, the storage battery 13, the water electrolysis device 16, the fuel cell 17, and the heat source device 20 are connected to the power distribution line E. The heat storage device 15 and the hydrogen boiler 19 are connected to a heat transfer line H. The consumer 3, the biomass power generation device 12, the fuel cell 17, and the heat source device 20 are connected to the power distribution line E and the heat transfer line H. The microgrid 1 supplies electric power and thermal energy to the consumer 3 through the power distribution line E and the heat transfer line H.

[0017] The consumer 3 is a facility that is an energy supply target, such as a factory or a building. The consumer 3 consumes electric power and thermal energy by supplying the electric power supplied through the power distribution line E and the thermal energy supplied through the heat transfer line H to equipment installed inside the facility.

[0018] The energy management system 10, the solar power generation device 11, the biomass power generation device 12, the power storage control device 14, the heat storage device 15, the water electrolysis device 16, the fuel cell 17, the hydrogen storage device 18, and the heat source device 20 are connected to a communication network N1 such as a LAN (Local Area Network). The first storage battery 13-1, the second storage battery 13-2, and the power storage control device 14 are connected to a communication network N2. The communication network N1 and the communication network N2 may be two mutually closed networks, two networks capable of mutual communication, or the same network.

[0019] The energy management system 10, the solar power generation device 11, the biomass power generation device 12, the power storage control device 14, the heat storage device 15, the water electrolysis device 16, the fuel cell 17, the hydrogen storage device 18, and the heat source device 20 can communicate with each other via the communication network N1. The first storage battery 13-1, the second storage battery 13-2, and the power storage control device 14 can communicate with each other via the communication network N2.

[0020] The solar power generation device 11, the biomass power generation device 12, the power storage control device 14, the heat storage device 15, the water electrolysis device 16, the fuel cell 17, the hydrogen storage device 18, and the heat source device 20 provide operation data to the energy management system 10. The energy management system 10 formulates an operation plan based on the operation data provided from each device. The solar power generation device 11, the biomass power generation device 12, the power storage control device 14, the heat storage device 15, the water electrolysis device 16, the fuel cell 17, the hydrogen storage device 18, and the heat source device 20 operate in accordance with the operation plan formulated by the energy management system 10. The power storage control device 14 controls the operations of the first storage battery 13-1 and the second storage battery 13-2 in accordance with the operation plan formulated by the energy management system 10.

[0021] The solar power generation device 11 is a renewable energy power generation device that generates electric power using sunlight and supplies the electric power to the microgrid 1 through a power distribution line E. The electric power generated by the solar power generation device 11 is supplied to the power distribution line E.

[0022] The biomass power generation device 12 is a renewable energy power generation device that generates electricity using biomass as fuel. The biomass power generation device 12 is also a cogeneration system that supplies the heat generated during power generation. The electricity generated by the biomass power generation device 12 is supplied to the distribution line E. The heat recovered by the biomass power generation device 12 is supplied to the heat transfer line H.

[0023] The battery 13 is an energy storage device that repeatedly stores electricity through an electrochemical reaction and discharges the stored electricity. The first battery 13-1 and the second battery 13-2 are batteries with different characteristics. The characteristics of the batteries in this embodiment include, for example, type (material), storage capacity, years of use, or number of charge-discharge cycles. Examples of batteries of different types are lithium-ion batteries and sodium-sulfur batteries (NAS batteries).

[0024] The battery 13 stores or discharges power according to the balance of power supply and demand in the microgrid 1. When the amount of power generated in the microgrid 1 exceeds the amount of power consumed, resulting in a surplus, the battery 13 stores the power supplied from the distribution line E. When the amount of power consumed exceeds the amount of power generated, and there is a shortage of power consumed by the consumer 3, the battery 13 releases the stored power to the distribution line E.

[0025] The energy storage control device 14 controls the amount of charge stored and discharged from the first battery 13-1 and the second battery 13-2 according to the operation plan formulated by the energy management system 10. In this embodiment, the energy storage control device 14 performs priority control to determine which battery to use preferentially from the first battery 13-1 and the second battery 13-2 during charging or discharging.

[0026] The thermal storage device 15 is an energy storage device that repeatedly stores thermal energy generated by a heat source and releases the stored thermal energy. The thermal storage device 15 stores thermal energy in a thermal storage layer filled with water, ice, steam, or a thermal storage material. As the thermal storage material, for example, an adsorbent called hask clay disclosed in Reference 1 below can be used.

[0027] [Reference 1] Yoshi Kamada, Risuke Kawakami, Takamasa Oyama, Satoshi Matsuda, Masaya Suzuki, Kenji Marumo, Kazumasa Yamauchi, Hidetaka Miyahara, Katsuya Matsunaga, Masayuki Tanino, "Development of an open-system adsorbent heat storage heat pump system using Huskclay (Part 1): Experimental results of a small-scale device and a computational model of an adsorbent heat storage tank", Transactions of the Japan Society of Heating, Air-Conditioning and Sanitary Engineers, No. 281, pp. 9-16, 2020.

[0028] The thermal storage device 15 stores or releases heat according to the balance of thermal energy supply and demand in the microgrid 1 and the remaining capacity of the storage battery 13. When the amount of heat generated in the microgrid 1 exceeds the amount of heat consumed, and surplus heat is generated, the thermal storage device 15 stores the thermal energy of the heat transfer medium in the piping connected to the biomass power generation device 12 and the fuel cell 17. When the amount of heat consumed in the microgrid 1 exceeds the amount of heat generated, and there is a shortage of thermal energy consumed by the consumer 3, the thermal storage device 15 releases the stored thermal energy into the heat transfer line H.

[0029] The thermal storage device 15 uses an evaluation index that prioritizes energy storage over heat storage. When the amount of electricity generated in the microgrid 1 exceeds the amount of electricity consumed, resulting in surplus electricity, and the battery capacity reaches its maximum, the thermal storage device 15 stores the thermal energy generated from the heat source device 20, which is powered by the surplus electricity. The thermal storage device 15 also operates the heat source device 20 to store thermal energy in advance when the amount of electricity generated in the microgrid 1 falls below the amount of electricity consumed, and when it is predicted that the amount of electricity received will increase, for example, during peak hours when electricity rates are high.

[0030] The water electrolysis device 16 is an energy conversion device that produces hydrogen by electrolyzing water. The hydrogen produced by the water electrolysis device 16 can be used for power generation in the fuel cell 17. The hydrogen produced by the water electrolysis device 16 is stored in the hydrogen storage device 18.

[0031] The fuel cell 17 is a power generation device that generates electricity using the chemical energy of a fuel through an electrochemical reaction. In this embodiment, the fuel cell 17 is a hydrogen fuel cell that generates electricity using hydrogen as fuel. The fuel cell 17 generates electricity using hydrogen produced by the water electrolysis device 16 and stored in the hydrogen storage device 18. The fuel cell 17 is also a cogeneration system that recovers waste heat generated during the electrochemical reaction. The electricity generated by the fuel cell 17 is supplied to the power distribution line E. The heat recovered by the fuel cell 17 is supplied to the heat transfer line H.

[0032] In this embodiment, the battery 13 and the hydrogen storage device 18 are energy storage devices with different responsiveness. Responsiveness in this embodiment includes the processing time for planned or sudden startup and shutdown of the energy storage devices. For example, since the water electrolysis device 16 takes time to become able to stably produce hydrogen after startup, the hydrogen storage device 18 that stores the hydrogen produced by the water electrolysis device 16 has lower responsiveness compared to the battery 13.

[0033] The energy management system 10 collects operating data from each device connected to the microgrid 1 at predetermined time intervals (hereinafter also referred to as the "measurement interval"). The energy management system 10 also transmits an operating plan generated based on the collected operating data to each device at predetermined time intervals (hereinafter also referred to as the "control interval").

[0034] The energy management system 10 collects power generation data and controls the output of the solar power generation device 11. The energy management system 10 collects power generation and heat recovery data and controls the output of the biomass power generation device 12 and the fuel cell 17. The energy management system 10 collects energy storage data and controls the input and output power of the battery for the energy storage control device 14.

[0035] The energy management system 10 collects the amount of heat stored and controls the amount of heat stored and released for the heat storage device 15. The energy management system 10 collects the amount of hydrogen produced and controls the input power for the water electrolysis device 16. The energy management system 10 collects the amount of hydrogen stored for the hydrogen storage device 18. The energy management system 10 collects the output and controls the amount of heat released for the heat source device 20.

[0036] The energy management system 10 controls the input and output power (control of the amount of stored energy) by prioritizing the storage of energy storage devices with high responsiveness. In this embodiment, the microgrid 1 is connected to a battery 13 with high responsiveness and a water electrolyzer 16 with low responsiveness. Therefore, when an evaluation index that prioritizes hydrogen production is used and the water electrolyzer 16 is capable of producing hydrogen, the energy management system 10 prioritizes hydrogen production using the water electrolyzer 16, and when the water electrolyzer 16 is not capable of producing hydrogen, it prioritizes charging the battery 13. However, even when an evaluation index that prioritizes hydrogen production is used and the water electrolyzer 16 is capable of producing hydrogen, the energy management system 10 may also prioritize charging the battery 13 and use the surplus power to produce hydrogen using the water electrolyzer 16.

[0037] <Hardware configuration of the energy management system> The hardware configuration of the energy management system in this embodiment will be described with reference to Figure 2.

[0038] Computer Hardware Configuration The energy management system 10 in this embodiment is implemented, for example, by a computer. Figure 2 is a block diagram showing an example of the hardware configuration of the computer 500 in this embodiment.

[0039] As shown in Figure 2, the computer 500 includes a CPU (Central Processing Unit) 501, ROM (Read Only Memory) 502, RAM (Random Access Memory) 503, HDD (Hard Disk Drive) 504, input device 505, display device 506, communication interface 507, and external interface 508. The CPU 501, ROM 502, and RAM 503 form what is known as a computer. Each piece of hardware in the computer 500 is interconnected via a bus line 509. The input device 505 and display device 506 may also be used by connecting them to the external interface 508.

[0040] The CPU 501 is a processing unit that controls and implements the overall functions of the computer 500 by reading programs and data from storage devices such as the ROM 502 or HDD 504 onto the RAM 503 and executing processing.

[0041] ROM502 is an example of non-volatile semiconductor memory (storage device) that can retain programs and data even when the power is turned off. ROM502 functions as the main memory, storing various programs and data necessary for the CPU501 to execute the programs installed on HDD504. Specifically, ROM502 stores boot programs such as BIOS (Basic Input / Output System) and EFI (Extensible Firmware Interface) that are executed when the computer 500 starts up, as well as OS (Operating System) settings, network settings, and other data.

[0042] RAM503 is an example of volatile semiconductor memory (storage device) whose programs and data are erased when the power is turned off. RAM503 includes, for example, DRAM (Dynamic Random Access Memory) and SRAM (Static Random Access Memory). RAM503 provides a working area that is expanded when various programs installed on HDD504 are executed by CPU501.

[0043] HDD504 is an example of a non-volatile storage device that stores programs and data. The programs and data stored in HDD504 include the operating system (OS), which is the basic software that controls the entire computer 500, and applications that provide various functions on the OS. Note that computer 500 may use a storage device that uses flash memory as its storage medium (e.g., SSD: Solid State Drive) instead of HDD504.

[0044] The input device 505 includes a touch panel used by the user to input various signals, operation keys and buttons, a keyboard and mouse, and a microphone for inputting sound data such as voice.

[0045] The display device 506 consists of a display such as a liquid crystal or organic EL (Electro-Luminescence) that displays a screen, and a speaker that outputs sound data such as audio.

[0046] Communication I / F 507 is an interface that connects to a communication network and allows computer 500 to perform data communication.

[0047] External I / F 508 is an interface for external devices. Examples of external devices include the drive device 510.

[0048] The drive device 510 is a device for setting the recording medium 511. The recording medium 511 here includes media that record information optically, electrically, or magnetically, such as CD-ROMs, flexible disks, and magneto-optical disks. The recording medium 511 may also include semiconductor memory that records information electrically, such as ROMs and flash memory. This allows the computer 500 to read and / or write to the recording medium 511 via the external I / F 508.

[0049] The various programs to be installed on the HDD 504 are installed, for example, when the distributed recording medium 511 is set in a drive device 510 connected to an external I / F 508, and the various programs recorded on the recording medium 511 are read by the drive device 510. Alternatively, the various programs to be installed on the HDD 504 may be downloaded via the communication I / F 507 from a network other than the communication network and installed that way.

[0050] <Functional Configuration of Energy Management System> The functional configuration of the energy management system in this embodiment will be described with reference to Figure 3. Figure 3 is a block diagram showing an example of the functional configuration of the energy management system 10 in this embodiment.

[0051] ≪Functional Configuration of the Energy Management System≫ As shown in Figure 3, the energy management system 10 in this embodiment includes an operation data collection unit 101, a status acquisition unit 102, a demand forecasting unit 103, a characteristic acquisition unit 104, a supply forecasting unit 105, an optimization unit 106, and an operation planning unit 107.

[0052] The operation data collection unit 101, the status acquisition unit 102, the demand forecasting unit 103, the characteristic acquisition unit 104, the supply forecasting unit 105, the optimization unit 106, and the operation planning unit 107 are realized by a process in which a program loaded from the HDD 504 shown in Figure 2 onto the RAM 503 is executed by the CPU 501.

[0053] The operation data collection unit 101 collects operation data from each device connected to the microgrid 1. The devices from which the operation data collection unit 101 acquires operation data include at least a photovoltaic power generation device 11, a biomass power generation device 12, an energy storage control device 14, a heat storage device 15, a water electrolysis device 16, a fuel cell 17, and a heat source device 20.

[0054] The operation data acquisition unit 101 acquires operation data at predetermined measurement intervals. The predetermined measurement interval may be, for example, 1 minute. The measurement interval may vary depending on the data source device.

[0055] The status acquisition unit 102 acquires the operating status of each device connected to the microgrid 1 based on the operating data collected by the operating data acquisition unit 101. The devices whose operating status is acquired by the status acquisition unit 102 include at least the water electrolysis device 16.

[0056] The operational data collected from the solar power generation device 11 includes the amount of power generated by the solar power generation device 11. The operational data collected from the biomass power generation device 12 includes the amount of power generated and the amount of heat recovered by the biomass power generation device 12. The operational data collected from the energy storage control device 14 includes the amount of energy stored and discharged from the first battery 13-1 and the second battery 13-2. The operational data collected from the thermal storage device 15 includes the amount of heat stored and the amount of heat released by the thermal storage device 15.

[0057] The operating data collected from the water electrolysis unit 16 includes the input power and hydrogen production amount of the water electrolysis unit 16. The operating data collected from the fuel cell 17 includes the power generation amount and heat recovery amount of the fuel cell 17. The operating data collected from the hydrogen storage unit 18 includes the hydrogen storage amount of the hydrogen storage unit 18. The operating data collected from the heat source unit 20 includes the input power and heat dissipation amount of the heat source unit 20.

[0058] The demand forecasting unit 103 forecasts the electricity demand, heat demand, and hydrogen demand in the microgrid 1 based on the operating data collected by the operating data collection unit 101.

[0059] The demand forecasting unit 103 forecasts the electricity demand, heat demand, and hydrogen demand of customer 3 for a predetermined forecast period based on the operating data collected by the operating data collection unit 101. The forecasts for electricity demand, heat demand, and hydrogen demand may be calculated based on actual values ​​from sensors etc. of each device, or they may be based on a regression model based on past operating data. The structure of the regression model may be a machine learning model, a neural network, or a deep neural network.

[0060] The supply forecasting unit 105 predicts the amount of electricity, thermal energy, and hydrogen supplied in the microgrid 1 based on the operating data collected by the operating data collection unit 101.

[0061] The supply forecasting unit 105 forecasts the amount of electricity supplied, thermal energy supplied, and hydrogen supplied to customer 3 during a predetermined forecast period, based on the operating data collected by the operating data collection unit 101. The forecasts for the amount of electricity supplied, thermal energy supplied, and hydrogen supplied may be calculated based on actual values ​​from sensors etc. of each device, or they may be based on a regression model based on past operating data. The structure of the regression model may be a machine learning model, a neural network, or a deep neural network.

[0062] The characteristic acquisition unit 104 acquires the characteristics of each device connected to the microgrid 1. The devices whose characteristics are acquired by the characteristic acquisition unit 104 include at least the first battery 13-1 and the second battery 13-2. The information representing the characteristics of each device connected to the microgrid 1 may be pre-set by the microgrid 1's operator or the like, or may be included in the operating data.

[0063] The optimization unit 106 creates an operation plan for each device that best satisfies the preset evaluation indicators, based on the operating status of each device acquired by the status acquisition unit 102, the power demand, heat demand, and hydrogen demand of customer 3 predicted by the demand forecasting unit 103, the characteristics of each device acquired by the characteristic acquisition unit 104, and the power supply, thermal energy supply, and hydrogen supply of each device predicted by the supply forecasting unit 105.

[0064] The operation planning unit 107 transmits the operation plan generated by the optimization unit 106 to each device connected to the microgrid 1. The devices to which the operation planning unit 107 transmits the operation plan include at least a photovoltaic power generation device 11, a biomass power generation device 12, an energy storage control device 14, a heat storage device 15, a water electrolysis device 16, a fuel cell 17, and a heat source device 20.

[0065] The operation planning unit 107 transmits the operation plan at predetermined control intervals. The predetermined control interval may be, for example, 10 minutes. The control interval may vary depending on the receiving device.

[0066] <Processing Procedures for Energy Management Systems> The processing procedure of the energy management method executed by the energy management system 10 in this embodiment will be described with reference to Figure 4. Figure 4 is a flowchart showing an example of the processing procedure of the energy management method in this embodiment.

[0067] In step S1, the operation data collection unit 101 of the energy management system 10 collects operation data from the energy storage control device 14 and the water electrolysis device 16. The operation data collection unit 101 stores the collected operation data in a storage device such as an HDD 504.

[0068] In step S2, the status acquisition unit 102 of the energy management system 10 reads the operation data stored in the memory device. Based on the read operation data, the status acquisition unit 102 acquires the operating status of the water electrolyzer 16. The status acquisition unit 102 sends the acquired operating status of the water electrolyzer 16 to the optimization unit 106.

[0069] The operating status of the water electrolysis unit 16 is information that can determine whether or not the water electrolysis unit 16 is in a state where it can produce hydrogen. The operating status of the water electrolysis unit 16 can be determined based on the change in the amount of hydrogen produced in the operating data collected from the water electrolysis unit 16. If the operating data collected from the water electrolysis unit 16 contains information that indicates the operating status, then that information should be acquired.

[0070] In step S3, the optimization unit 106 of the energy management system 10 receives the operating status of the water electrolyzer 16 from the status acquisition unit 102. Based on the operating status of the water electrolyzer 16, the optimization unit 106 determines the operating priority between the battery 13 and the water electrolyzer 16.

[0071] The operating priority refers to information indicating the order in which chargers and dischargers are used preferentially at each time point. Specifically, during charging, the system first charges the energy storage device with the highest operating priority, and when that device is fully charged, it switches to charging the energy storage device with the next highest operating priority. Similarly, during discharging, the system first discharges from the energy storage device with the highest operating priority, and when sufficient output is no longer available, it switches to discharging from the energy storage device with the next highest operating priority.

[0072] The optimization unit 106 increases the operating priority of the water electrolysis unit 16 when an evaluation index prioritizing hydrogen production is used and the water electrolysis unit 16 is in an operational state capable of producing hydrogen. The optimization unit 106 increases the operating priority of the battery 13 when the water electrolysis unit 16 is not in an operational state capable of producing hydrogen. Since the water electrolysis unit 16 takes longer to start up and stop than the battery 13, it is efficient to prioritize the use of the battery 13 for charging and discharging when the water electrolysis unit 16 is not in an operational state capable of producing hydrogen.

[0073] The optimization unit 106 may set the operating priority of the battery 13 higher than that of the water electrolyzer 16, regardless of the operating status of the water electrolyzer 16. The battery 13 has the characteristic of gradually decreasing in stored energy due to self-discharge. For example, the stored energy of the battery 13 decreases by 5% over one month from a fully charged state. On the other hand, the hydrogen produced by the water electrolyzer 16 does not decrease over time. Therefore, it may be efficient to set the operating priority of the battery 13 higher in order to preferentially use the power stored in the battery 13.

[0074] In step S4, the optimization unit 106 of the energy management system 10 creates an operation plan, including charge and discharge plans for the battery 13 and the water electrolyzer 16, based on the operation priority determined in step S3. The charge and discharge plan is information that specifies the amount of energy to be stored and discharged in a predetermined time interval. The operation planning unit 107 transmits the operation plan created by the optimization unit 106 to the energy storage control device 14 and the water electrolyzer 16.

[0075] According to the operation plan, when an evaluation indicator prioritizing hydrogen production is used, and the water electrolyzer 16 is in an operational state capable of producing hydrogen, control is performed to prioritize charging the water electrolyzer 16. Conversely, when the water electrolyzer 16 is not in an operational state capable of producing hydrogen, control is performed to prioritize charging the battery 13. When charging the battery 13, it is possible to determine whether to prioritize charging the first battery 13-1 or the second battery 13-2 by any method.

[0076] In some cases, the charge-discharge plan included in the operating plan may not be achieved, and even though the water electrolyzer 16 is operational and capable of producing hydrogen, the power required for hydrogen production may not be supplied to the water electrolyzer 16. In this case, the energy management system 10 may increase the discharge rate of the storage battery 13 and control it so that the power required for hydrogen production is supplied to the water electrolyzer 16.

[0077] <Effects of the First Embodiment> The energy management system in this embodiment determines an operating priority according to the type of energy storage device in a microgrid that includes multiple types of energy storage devices, and creates an operating plan for each energy storage device according to that operating priority. Therefore, the energy management system in this embodiment can efficiently operate a microgrid that includes multiple energy storage devices of different types.

[0078] The energy management system in this embodiment determines the operating priority based on the operating status of a water electrolysis device that produces hydrogen, in a microgrid that includes a hydrogen storage device for storing hydrogen, which is used as fuel for fuel cells, and an energy storage device for storing surplus electricity. Specifically, an evaluation index that prioritizes hydrogen production is used, and when the water electrolysis device is in an operating state capable of producing hydrogen, the operating priority of the water electrolysis device is increased. When the water electrolysis device is not in an operating state capable of producing hydrogen, the operating priority of the energy storage device is increased. Therefore, the energy management system in this embodiment enables efficient operation of a microgrid that includes a hydrogen storage device and an energy storage device.

[0079] [Second Embodiment] The microgrid in the second embodiment of this disclosure comprises energy generation equipment including renewable energy power generation equipment and a cogeneration system, and energy storage equipment including multiple types of energy storage devices. The energy storage devices in this embodiment include, as an example, an energy storage device for storing electricity and a thermal storage device for storing thermal energy. In other words, the microgrid in this embodiment has the function of generating, storing, and supplying multiple types of energy.

[0080] In this embodiment of the microgrid, the energy demand side includes equipment that utilizes electricity and equipment that utilizes thermal energy. On the energy supply side, there are equipment that generates electricity (e.g., a solar power generation device 11 and a fuel cell 17) and equipment that generates both electricity and thermal energy (e.g., a biomass power generation device 12). Furthermore, as energy storage facilities, there are equipment that stores electricity (a storage battery 13 and a hydrogen storage device 18) and equipment that stores thermal energy (a thermal storage device 15). This embodiment realizes an energy management system that can efficiently operate a microgrid with demand and supply for multiple types of energy.

[0081] <Processing Procedures for Energy Management Systems> The processing procedure of the energy management method executed by the energy management system 10 in this embodiment will be described with reference to Figure 5. Figure 5 is a flowchart showing an example of the processing procedure of the energy management method in this embodiment.

[0082] In step S11, the operation data collection unit 101 of the energy management system 10 collects operation data from the photovoltaic power generation device 11, the biomass power generation device 12, the energy storage control device 14, the heat storage device 15, the water electrolysis device 16, and the fuel cell 17. The operation data collection unit 101 stores the collected operation data in a storage device such as an HDD 504.

[0083] In step S12, the demand forecasting unit 103 of the energy management system 10 reads the operation data stored in the memory device. Based on the read operation data, the demand forecasting unit 103 forecasts the power demand in the microgrid 1. The demand forecasting unit 103 sends the power demand in the microgrid 1 to the operation planning unit 107.

[0084] In step S13, the demand forecasting unit 103 of the energy management system 10 forecasts the heat demand in the microgrid 1 based on the operating data read in step S12. The demand forecasting unit 103 sends the heat demand in the microgrid 1 to the operation planning unit 107.

[0085] In step S14, the demand forecasting unit 103 of the energy management system 10 forecasts the hydrogen demand in the microgrid 1 based on the operating data read in step S12. The demand forecasting unit 103 sends the hydrogen demand in the microgrid 1 to the operation planning unit 107.

[0086] In step S15, the operation planning unit 107 of the energy management system 10 reads the operation data stored in the memory device. The operation planning unit 107 also receives the electricity demand, heat demand, and hydrogen demand for the microgrid 1 from the demand forecasting unit 103.

[0087] The operation planning unit 107 creates operation plans for the energy storage control device 14 and the water electrolyzer 16 to meet the power demand in the microgrid 1. Specifically, the operation planning unit 107 creates operation plans, including charge and discharge plans for the battery 13 and the water electrolyzer 16, to satisfy the difference between the sum of the power generation amounts of the solar power generation device 11, the biomass power generation device 12, and the fuel cell 17 included in the operation data, and the power demand in the microgrid 1. The operation planning unit 107 transmits the created operation plans to the energy storage control device 14 and the water electrolyzer 16.

[0088] The operation planning unit 107 may create an operation plan for the water electrolyzer 16 to meet the hydrogen demand in the microgrid 1. Specifically, the operation planning unit 107 creates an operation plan that includes a hydrogen production plan for the water electrolyzer 16 to meet the difference between the amount of hydrogen produced by the water electrolyzer 16 included in the operation data and the hydrogen demand in the microgrid 1. The operation planning unit 107 transmits the created operation plan to the water electrolyzer 16.

[0089] The operation planning unit 107 creates an operation plan for the thermal storage device 15 to meet the heat demand in the microgrid 1. Specifically, the operation planning unit 107 creates an operation plan, including a thermal storage plan for the thermal storage device 15, to meet the difference between the heat output of the biomass power generation device 12 included in the operation data and the heat demand in the microgrid 1. The thermal storage plan is information that specifies the amount of heat stored and the amount of heat released in a predetermined time interval. The operation planning unit 107 transmits the created operation plan to the thermal storage device 15.

[0090] According to this operation plan, the first battery 13-1, the second battery 13-2, and the water electrolyzer 16 can be controlled to meet the power demand in microgrid 1. In addition, the heat storage device 15 can be controlled to meet the heat demand in microgrid 1.

[0091] <Effects of the second embodiment> The energy management system in this embodiment creates operating plans for the water electrolyzer and the energy storage device to meet the power demand of the microgrid, and creates an operating plan for the heat storage device to meet the heat demand of the microgrid, in a microgrid including a water electrolyzer, a heat storage device, and an energy storage device. Therefore, the energy management system in this embodiment enables efficient operation of a microgrid including a water electrolyzer, a heat storage device, and an energy storage device.

[0092] [Third Embodiment] The microgrid in the third embodiment of this disclosure has an energy storage system that includes multiple types of energy storage devices. The energy storage devices in this embodiment include, for example, multiple lithium-ion batteries and NAS batteries.

[0093] Energy storage devices have operating characteristics that depend on the materials used for storing electricity and their implementation. Furthermore, even with energy storage devices of the same type, it may be desirable to operate them differently depending on characteristics such as the number of charge / discharge cycles and capacity. In this embodiment, an energy management system is realized that can efficiently operate a microgrid including multiple types of energy storage devices.

[0094] <Processing Procedures for Energy Management Systems> The processing procedure of the energy management method executed by the energy management system 10 in this embodiment will be described with reference to Figure 6. Figure 6 is a flowchart showing an example of the processing procedure of the energy management method in this embodiment.

[0095] In step S21, the operation data collection unit 101 of the energy management system 10 collects operation data from the solar power generation device 11, the biomass power generation device 12, the energy storage control device 14, the water electrolysis device 16, and the fuel cell 17. The operation data collection unit 101 stores the collected operation data in a storage device such as an HDD 504.

[0096] In step S22, the characteristic acquisition unit 104 of the energy management system 10 acquires the characteristics of the first battery 13-1 and the second battery 13-2, respectively. The characteristic acquisition unit 104 sends the acquired characteristics of the first battery 13-1 and the second battery 13-2 to the optimization unit 106.

[0097] The characteristic acquisition unit 104 can read characteristics that have been pre-set by the operator or manager of the microgrid 1. If the operating data collected from the energy storage control device 14 contains information representing the characteristics of the first battery 13-1 and the second battery 13-2, then that information should be acquired.

[0098] In step S23, the optimization unit 106 of the energy management system 10 receives the characteristics of the first battery 13-1 and the second battery 13-2 from the characteristic acquisition unit 104. Based on the characteristics of the first battery 13-1 and the second battery 13-2, the optimization unit 106 determines the operating priority of the first battery 13-1 and the second battery 13-2. The optimization unit 106 sends the determined operating priority to the operation planning unit 107.

[0099] For example, different types of storage batteries 13 have different responsiveness and operating environments. NAS batteries have a low self-discharge rate but require heating to over 300°C during operation. On the other hand, lithium-ion batteries have a relatively high self-discharge rate but have fewer restrictions on their operating environment. In this case, the optimization unit 106 sets the operating priority of the lithium-ion battery higher than that of the NAS battery.

[0100] For example, even if the storage batteries 13 are made of the same material, the storage battery 13 that is preferred to be used may change depending on the storage capacity, years of use, or number of charge-discharge cycles. For example, with lithium-ion batteries, if the amount of change in a single charge-discharge cycle is small compared to the maximum storage capacity, the utilization efficiency decreases. In environments where charging and discharging are repeated frequently, this problem can be mitigated by prioritizing the use of lithium-ion batteries with small storage capacity for charging and discharging. In this case, the optimization unit 106 sets the operating priority of lithium-ion batteries with small storage capacity higher than the operating priority of lithium-ion batteries with large storage capacity.

[0101] Furthermore, for example, batteries with a long service life or a high number of charge / discharge cycles are likely to have a shorter remaining lifespan. Therefore, by prioritizing the use of batteries with a long service life or a high number of charge / discharge cycles for charging and discharging, it is possible to implement an operation where batteries are used up and then replaced with new ones. In this case, the optimization unit 106 sets the operating priority of batteries with a high number of charge / discharge cycles higher than the operating priority of batteries with a low number of charge / discharge cycles.

[0102] In step S24, the operation planning unit 107 of the energy management system 10 receives priorities from the optimization unit 106. Based on the priorities, the operation planning unit 107 creates an operation plan that includes a charge and discharge plan for the first battery 13-1 and the second battery 13-2. The operation planning unit 107 transmits the created operation plan to the energy storage control device 14.

[0103] According to this operation plan, control is performed to prioritize charging and discharging of either the first battery 13-1 or the second battery 13-2 according to their respective characteristics. For example, in a microgrid including lithium-ion batteries and NAS batteries, lithium-ion batteries can be used preferentially for charging and discharging. For example, in a microgrid including multiple rechargeable batteries with different storage capacities, rechargeable batteries with smaller storage capacities can be used preferentially for charging and discharging. For example, in a microgrid including multiple rechargeable batteries with different service lifespans, rechargeable batteries with longer service lifespans can be used preferentially for charging and discharging.

[0104] <Effects of the Third Embodiment> The energy management system in this embodiment determines the operating priority of a microgrid containing multiple types of energy storage devices based on the characteristics of each device. Specifically, it determines the operating priority of the energy storage devices based on their storage capacity, years of service, number of charge / discharge cycles, or material. Therefore, the energy management system in this embodiment enables efficient operation of a microgrid containing multiple types of energy storage devices.

[0105] [supplement] The battery 13 and energy storage control device 14 in the above embodiment are examples of an energy storage system. The heat storage device 15 is an example of a heat storage system. The water electrolysis device 16 and hydrogen storage device 18 are examples of a hydrogen storage system.

[0106] In the above embodiment, heat is transferred through the heat transfer line H, but a medium such as water, air, or a heat transfer medium is required to transport heat. The heat storage device 15 may be configured to include two types of heat storage devices: one that directly stores heat in a medium flowing through the heat transfer line H (for example, a type that stores hot water, cold water, ice, or steam), and another that stores heat in a heat storage material (such as zeolite, hask clay, or chemical heat storage material) and exchanges heat with the medium when in use. In this case, the type that directly stores heat in a medium has a relatively high rate of natural heat dissipation, so the amount of stored heat tends to decrease easily (a decrease of 20-50% in a few days), while the type that stores heat in a heat storage material has a relatively low rate of natural heat dissipation, so the amount of stored heat does not decrease easily (a decrease of about 10% even after more than a year). Under these circumstances, when a demand for heat is expected, prioritizing heat storage devices that directly store heat in a medium reduces heat conversion losses and allows for a quicker response to heat demand. When no heat demand is predicted, prioritizing heat storage devices that use heat storage materials allows for securing heat storage for a relatively long period.

[0107] Furthermore, in the above embodiment, the biomass power generation device 12 is both a power generation device and a heat generation device. When operating energy generation devices that produce multiple types of energy (electricity, heat, and hydrogen) in this manner, it is preferable to operate the corresponding types of energy storage devices as a set. When operating the biomass power generation device 12 or the fuel cell 17, it is desirable to control the operation of the heat storage device 15 and the battery 13. Conversely, if there is insufficient capacity in both the heat storage device 15 and the battery 13, the operation of devices that generate multiple types of energy can be suppressed, and the operation of devices that generate a single type of energy can be prioritized.

[0108] Furthermore, in the above embodiment, hydrogen can meet hydrogen demand, electricity demand (conversion by fuel cell 17), and heat demand (conversion by hydrogen boiler 19). However, for energy sources with low conversion efficiency, it is desirable to prioritize direct utilization.

[0109] Furthermore, this invention is highly effective in the renewal work, system upgrades, and modifications of microgrid systems. Specifically, when upgrading a system using energy storage devices (such as batteries) from the old system, a system with a mix of old and new energy storage devices is created. In this case, the priority can be easily changed by setting the characteristics of each device.

[0110] Each of the embodiments described above can be implemented by one or more processing circuits. Hereinafter, "processing circuit" as used herein includes processors programmed to execute each function by software, such as processors implemented by electronic circuits, as well as devices such as ASICs (Application Specific Integrated Circuits), DSPs (Digital Signal Processors), FPGAs (Field Programmable Gate Arrays), and conventional circuit modules designed to execute each of the functions described above.

[0111] Although embodiments of the present invention have been described in detail above, the present invention is not limited to these embodiments, and various modifications or changes are possible within the scope of the gist of the present invention as described in the claims. [Explanation of symbols]

[0112] 1 Microgrid 2 grids 3 Consumer 10 Energy Management Systems 11. Solar power generation equipment 12. Biomass power generation equipment 13. Storage Battery 14 Energy storage control device 15 Heat storage device 16 Water electrolysis equipment 17 Fuel Cell 18. Hydrogen storage device 19 Hydrogen boiler 20 Heat source device 101 Operation Data Collection Unit 102 Status acquisition unit 103 Demand Forecasting Department 104 Characterization Unit 105 Supply Forecasting Department 106 Optimization Unit 107 Operation Planning Department

Claims

1. An energy management system for managing a microgrid, which includes a water electrolysis device and multiple types of energy storage devices, A status acquisition unit is configured to acquire the operating status of the water electrolysis apparatus from operating data of the water electrolysis apparatus acquired at predetermined time intervals, An optimization unit configured to determine a priority order according to the type of energy storage device, An operation planning unit is configured to create an operation plan for each of the energy storage devices in accordance with the aforementioned priority order, Equipped with, The aforementioned energy storage device includes an energy storage system and a hydrogen storage system. The optimization unit is configured to increase the priority of the hydrogen storage system when the water electrolysis device is in an operational state capable of producing hydrogen, and to increase the priority of the energy storage system when the water electrolysis device is not in an operational state capable of producing hydrogen. Energy management system.

2. An energy management system for managing a microgrid, which includes a water electrolysis device and multiple types of energy storage devices, A status acquisition unit is configured to acquire the operating status of the water electrolysis apparatus from operating data of the water electrolysis apparatus acquired at predetermined time intervals, An optimization unit configured to determine a priority order according to the type of energy storage device, An operation planning unit is configured to create an operation plan for each of the energy storage devices in accordance with the aforementioned priority order, Equipped with, The aforementioned energy storage device includes an energy storage system and a hydrogen storage system. The system further comprises a characteristic acquisition unit that acquires the degree of degradation and responsiveness characteristics of the aforementioned energy storage system. The optimization unit is configured to set a high operating priority for the battery in order to preferentially use the power stored in the battery, while taking into account the degree of degradation and responsiveness acquired by the characteristic acquisition unit. Energy management system.

3. An energy management system for managing a microgrid, which includes a water electrolysis device and an energy storage device, A status acquisition unit is configured to acquire the operating status of the water electrolysis apparatus from operating data of the water electrolysis apparatus acquired at predetermined time intervals, An operation planning unit configured to create an operation plan for the aforementioned energy storage device, Equipped with, The aforementioned energy storage device includes a hydrogen storage system, The operation planning unit is configured to create an operation plan, including a hydrogen production plan for the water electrolysis unit, so as to satisfy the difference between the amount of hydrogen produced by the water electrolysis unit included in the operation data and the hydrogen demand in the microgrid. Energy management system.

4. An energy management system for managing a microgrid including a water electrolysis device, multiple types of energy storage devices, a fuel cell, and a hydrogen boiler, A status acquisition unit is configured to acquire the operating status of the water electrolysis apparatus from operating data of the water electrolysis apparatus acquired at predetermined time intervals, An optimization unit configured to determine a priority order according to the type of energy storage device, An operation planning unit is configured to create an operation plan for each of the energy storage devices in accordance with the aforementioned priority order, Equipped with, The aforementioned energy storage device includes an energy storage system and a hydrogen storage system. The aforementioned operation planning unit is configured to create an operation plan for the water electrolysis apparatus in order of the order of hydrogen, electricity, and heat, based on their conversion efficiency from hydrogen. Energy management system.

5. An energy management system for managing a microgrid, which includes a water electrolysis device and multiple types of energy storage devices, A status acquisition unit is configured to acquire the operating status of the water electrolysis apparatus from operating data of the water electrolysis apparatus acquired at predetermined time intervals, An optimization unit configured to determine a priority order according to the type of energy storage device, An operation planning unit is configured to create an operation plan for each of the energy storage devices in accordance with the aforementioned priority order, An operating data collection unit configured to collect the aforementioned operating data, A demand forecasting unit is configured to predict the electricity demand and hydrogen demand of the microgrid based on the aforementioned operating data, Equipped with, The aforementioned energy storage device includes an energy storage system and a hydrogen storage system. The demand forecasting unit is configured to calculate predicted values ​​for electricity demand and hydrogen demand based on actual measurements from sensors in each device included in the microgrid. Energy management system.

6. An energy management system for managing a microgrid, which includes a water electrolysis device and multiple types of energy storage devices, A status acquisition unit is configured to acquire the operating status of the water electrolysis apparatus from operating data of the water electrolysis apparatus acquired at predetermined time intervals, An optimization unit configured to determine a priority order according to the type of energy storage device, An operation planning unit is configured to create an operation plan for each of the energy storage devices in accordance with the aforementioned priority order, An operating data collection unit configured to collect the aforementioned operating data, A demand forecasting unit is configured to predict the electricity demand and hydrogen demand of the microgrid based on the aforementioned operating data, Equipped with, The aforementioned energy storage device includes an energy storage system and a hydrogen storage system. The demand forecasting unit is configured to calculate predicted values ​​for electricity demand and hydrogen demand based on a regression model derived from past operating data. The structure of the regression model is a machine learning model, a neural network, or a deep neural network. Energy management system.

7. An energy management system that manages a microgrid, including a water electrolysis device and multiple types of energy storage devices, A procedure for obtaining the operating status of the water electrolysis apparatus from operating data of the water electrolysis apparatus acquired at predetermined time intervals, A procedure for determining the priority order according to the type of energy storage device, A procedure for creating an operating plan for each of the energy storage devices in accordance with the aforementioned priority order, Execute, The aforementioned energy storage device includes an energy storage system and a hydrogen storage system. The procedure for making the determination described above involves increasing the priority of the hydrogen storage system when the water electrolysis device is in an operational state capable of producing hydrogen, and increasing the priority of the energy storage system when the water electrolysis device is not in an operational state capable of producing hydrogen. Energy management methods.

8. An energy management system that manages a microgrid, including a water electrolysis device and multiple types of energy storage devices, A procedure for obtaining the operating status of the water electrolysis apparatus from operating data of the water electrolysis apparatus acquired at predetermined time intervals, A procedure for determining the priority order according to the type of energy storage device, A procedure for creating an operating plan for each of the energy storage devices in accordance with the aforementioned priority order, Execute, The aforementioned energy storage device includes an energy storage system and a hydrogen storage system. Further steps are taken to obtain the degradation level and responsiveness characteristics of the aforementioned energy storage system. The aforementioned determination procedure involves setting a high operating priority for the battery in order to prioritize the use of the power stored in the battery, while taking into account the degree of degradation and responsiveness obtained in the aforementioned acquisition procedure. Energy management methods.

9. An energy management system that manages a microgrid including a water electrolysis device and an energy storage device, A procedure for obtaining the operating status of the water electrolysis apparatus from operating data of the water electrolysis apparatus acquired at predetermined time intervals, The procedure for creating an operating plan for the aforementioned energy storage device, Execute, The aforementioned energy storage device includes a hydrogen storage system, The procedure described above involves creating an operating plan that includes a hydrogen production plan for the water electrolysis device, so as to satisfy the difference between the amount of hydrogen produced by the water electrolysis device included in the operating data and the hydrogen demand in the microgrid. Energy management methods.

10. An energy management system that manages a microgrid including a water electrolysis device, multiple types of energy storage devices, a fuel cell, and a hydrogen boiler, A procedure for obtaining the operating status of the water electrolysis apparatus from operating data of the water electrolysis apparatus acquired at predetermined time intervals, A procedure for determining the priority order according to the type of energy storage device, A procedure for creating an operating plan for each of the energy storage devices in accordance with the aforementioned priority order, Execute, The aforementioned energy storage device includes an energy storage system and a hydrogen storage system. The procedure described above involves creating an operating plan for the water electrolysis apparatus in order of the highest conversion efficiency from hydrogen among hydrogen, electricity, and heat. Energy management methods.

11. An energy management system that manages a microgrid, including a water electrolysis device and multiple types of energy storage devices, A procedure for obtaining the operating status of the water electrolysis apparatus from operating data of the water electrolysis apparatus acquired at predetermined time intervals, A procedure for determining the priority order according to the type of energy storage device, A procedure for creating an operating plan for each of the energy storage devices in accordance with the aforementioned priority order, The procedure for collecting the aforementioned operating data, A procedure for predicting the electricity demand and hydrogen demand of the microgrid based on the aforementioned operating data, Execute, The aforementioned energy storage device includes an energy storage system and a hydrogen storage system. The aforementioned prediction procedure calculates predicted values ​​for electricity demand and hydrogen demand based on actual measurements from sensors in each device included in the microgrid. Energy management methods.

12. An energy management system that manages a microgrid, including a water electrolysis device and multiple types of energy storage devices, A procedure for obtaining the operating status of the water electrolysis apparatus from operating data of the water electrolysis apparatus acquired at predetermined time intervals, A procedure for determining the priority order according to the type of energy storage device, A procedure for creating an operating plan for each of the energy storage devices in accordance with the aforementioned priority order, The procedure for collecting the aforementioned operating data, A procedure for predicting the electricity demand and hydrogen demand of the microgrid based on the aforementioned operating data, Execute, The aforementioned energy storage device includes an energy storage system and a hydrogen storage system. The aforementioned prediction procedure calculates predicted values ​​for electricity demand and hydrogen demand based on a regression model that uses historical operating data. The structure of the regression model is a machine learning model, a neural network, or a deep neural network. Energy management methods.

13. An energy management system that manages a microgrid including a water electrolysis device and multiple types of energy storage devices, A procedure for obtaining the operating status of the water electrolysis apparatus from operating data of the water electrolysis apparatus acquired at predetermined time intervals, A procedure for determining the priority order according to the type of energy storage device, A procedure for creating an operating plan for each of the energy storage devices in accordance with the aforementioned priority order, Make it run, The aforementioned energy storage device includes an energy storage system and a hydrogen storage system. The procedure for making the determination described above involves increasing the priority of the hydrogen storage system when the water electrolysis device is in an operational state capable of producing hydrogen, and increasing the priority of the energy storage system when the water electrolysis device is not in an operational state capable of producing hydrogen. program.

14. An energy management system that manages a microgrid including a water electrolysis device and multiple types of energy storage devices, A procedure for obtaining the operating status of the water electrolysis apparatus from operating data of the water electrolysis apparatus acquired at predetermined time intervals, A procedure for determining the priority order according to the type of energy storage device, A procedure for creating an operating plan for each of the energy storage devices in accordance with the aforementioned priority order, Make it run, The aforementioned energy storage device includes an energy storage system and a hydrogen storage system. Further steps are taken to obtain the degradation level and responsiveness characteristics of the aforementioned energy storage system. The aforementioned determination procedure involves setting a high operating priority for the battery in order to prioritize the use of the power stored in the battery, while taking into account the degree of degradation and responsiveness obtained in the aforementioned acquisition procedure. program.

15. An energy management system that manages a microgrid including a water electrolysis device and an energy storage device, A procedure for obtaining the operating status of the water electrolysis apparatus from operating data of the water electrolysis apparatus acquired at predetermined time intervals, The procedure for creating an operating plan for the aforementioned energy storage device, Make it run, The aforementioned energy storage device includes a hydrogen storage system, The procedure described above involves creating an operating plan that includes a hydrogen production plan for the water electrolysis device, so as to satisfy the difference between the amount of hydrogen produced by the water electrolysis device included in the operating data and the hydrogen demand in the microgrid. program.

16. An energy management system that manages a microgrid including a water electrolysis device, multiple types of energy storage devices, a fuel cell, and a hydrogen boiler, A procedure for obtaining the operating status of the water electrolysis apparatus from operating data of the water electrolysis apparatus acquired at predetermined time intervals, A procedure for determining the priority order according to the type of energy storage device, A procedure for creating an operating plan for each of the energy storage devices in accordance with the aforementioned priority order, Make it run, The aforementioned energy storage device includes an energy storage system and a hydrogen storage system. The procedure described above involves creating an operating plan for the water electrolysis apparatus in order of the highest conversion efficiency from hydrogen among hydrogen, electricity, and heat. program.

17. An energy management system that manages a microgrid including a water electrolysis device and multiple types of energy storage devices, A procedure for obtaining the operating status of the water electrolysis apparatus from operating data of the water electrolysis apparatus acquired at predetermined time intervals, A procedure for determining the priority order according to the type of energy storage device, A procedure for creating an operating plan for each of the energy storage devices in accordance with the aforementioned priority order, The procedure for collecting the aforementioned operating data, A procedure for predicting the electricity demand and hydrogen demand of the microgrid based on the aforementioned operating data, Make it run, The aforementioned energy storage device includes an energy storage system and a hydrogen storage system. The aforementioned prediction procedure calculates predicted values ​​for electricity demand and hydrogen demand based on actual measurements from sensors in each device included in the microgrid. program.

18. An energy management system that manages a microgrid including a water electrolysis device and multiple types of energy storage devices, A procedure for obtaining the operating status of the water electrolysis apparatus from operating data of the water electrolysis apparatus acquired at predetermined time intervals, A procedure for determining the priority order according to the type of energy storage device, A procedure for creating an operating plan for each of the energy storage devices in accordance with the aforementioned priority order, The procedure for collecting the aforementioned operating data, A procedure for predicting the electricity demand and hydrogen demand of the microgrid based on the aforementioned operating data, Make it run, The aforementioned energy storage device includes an energy storage system and a hydrogen storage system. The aforementioned prediction procedure calculates predicted values ​​for electricity demand and hydrogen demand based on a regression model that uses historical operating data. The structure of the regression model is a machine learning model, a neural network, or a deep neural network. program.

Images