WO2021152667A1 - Appareil de gestion d'alimentation électrique et procédé de gestion d'alimentation électrique - Google Patents

Appareil de gestion d'alimentation électrique et procédé de gestion d'alimentation électrique Download PDF

Info

Publication number
WO2021152667A1
WO2021152667A1 PCT/JP2020/002796 JP2020002796W WO2021152667A1 WO 2021152667 A1 WO2021152667 A1 WO 2021152667A1 JP 2020002796 W JP2020002796 W JP 2020002796W WO 2021152667 A1 WO2021152667 A1 WO 2021152667A1
Authority
WO
WIPO (PCT)
Prior art keywords
power
supply
voltage
power supply
unit
Prior art date
Application number
PCT/JP2020/002796
Other languages
English (en)
Japanese (ja)
Inventor
義人 西田
Original Assignee
三菱電機株式会社
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 三菱電機株式会社 filed Critical 三菱電機株式会社
Priority to CN202080094153.0A priority Critical patent/CN115004501A/zh
Priority to JP2020543833A priority patent/JP6849154B1/ja
Priority to PCT/JP2020/002796 priority patent/WO2021152667A1/fr
Publication of WO2021152667A1 publication Critical patent/WO2021152667A1/fr

Links

Images

Classifications

    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20—End-user application control systems
    • Y04S20/222—Demand response systems, e.g. load shedding, peak shaving

Definitions

  • This disclosure relates to technology for allocating electric power.
  • a voltage converter such as a DC / DC converter that boosts or lowers the voltage in order to match the voltage of the power supplied from the power supply device with the corresponding voltage of the power load device is generally known.
  • Reference 1 Japanese Unexamined Patent Publication No. 2014-128062 describes that the power supply is supplied from the distributed power supply unit connected to the DC / DC converter (voltage converter) to the loads L1 to L4. Since the DC / DC converter of Reference 1 is not a voltage converter that supplies power to a plurality of power load devices having different voltages, the distributed power supply unit supplies power to the loads L1 to L4.
  • Power is supplied from one voltage converter to multiple power load devices with different voltages. Power is supplied from multiple power supply devices to multiple power load devices through the voltage converter. In the system, the power distribution is appropriately determined. If this happens, it will not be possible to supply power efficiently. It is an object of the present disclosure to efficiently supply electric power in such a system.
  • the power supply management device in the present disclosure uses one or a plurality of voltage converters that convert one or more powers into a plurality of voltages from a plurality of power supply devices to a plurality of power load devices.
  • a voltage converter information unit that stores the conversion efficiency
  • a supply plan creation unit that creates a supply plan based on the required power and conversion efficiency for each power load device, and the power supply for each power supply device, and a supply plan. It is characterized by including a power source control unit that issues a control command value for allocating power from a power supply device to a power load device based on the above.
  • FIG. It is a figure which shows the structure of the consumer facility in Embodiment 1.
  • FIG. It is a figure of an example of the structure of the voltage converter targeted in Embodiment 1.
  • FIG. It is a figure which shows the example of the information of the contract power among the contract information in Embodiment 1.
  • FIG. It is a figure which shows the example of the electricity rate unit price among the contract information in Embodiment 1.
  • FIG. It is a figure which shows the example of the equipment information of the storage battery in Embodiment 1.
  • FIG. It is a figure which shows the example of the present storage amount of the storage battery in Embodiment 1.
  • FIG. 1 It is a figure which shows the example of the equipment information of the storage battery of the EV power storage device in Embodiment 1.
  • FIG. It is a figure which shows the example of the equipment information of the storage battery of the EV power storage device in Embodiment 1.
  • FIG. It is a figure which shows the example of the equipment information of the storage battery of the EV power storage device in Embodiment 1.
  • FIG. It is a figure which shows the example of the equipment information of the photovoltaic power generator managed by the renewable energy apparatus information part in Embodiment 1.
  • FIG. It is a figure which shows the example of the equipment information of the wind power generator managed by the renewable energy apparatus information part in Embodiment 1.
  • FIG. It is a figure which showed the change of the conversion efficiency according to the output power of the voltage converter in Embodiment 1.
  • FIG. It is a figure which shows the example of the management information of the voltage converter stored in the voltage converter information unit in Embodiment 1.
  • FIG. It is a figure which shows the example of the electric power demand forecast value of each electric power device in Embodiment 1.
  • FIG. It is a figure which shows the predicted value of the amount of power generation by a photovoltaic power generator in Embodiment 1.
  • FIG. It is a figure which shows the predicted value of the power generation amount by the wind power generator in Embodiment 1.
  • FIG. It is a figure which shows the example of the structure of the consumer facility in Embodiment 1.
  • FIG. It is a figure which shows the variable setting of the optimization problem with respect to the composition of a consumer facility in Embodiment 1.
  • FIG. It is a flowchart of the process of the power supply management apparatus in Embodiment 1. It is a figure which shows the information of the contract power of the power receiving point for explaining the flowchart in Embodiment 1.
  • FIG. It is a figure which shows the electricity charge unit price of the power receiving point for explaining the flowchart in Embodiment 1.
  • FIG. It is a figure which shows the equipment information of the storage battery for demonstrating the flowchart in Embodiment 1.
  • FIG. It is a figure which shows the equipment information of the storage battery for demonstrating the flowchart in Embodiment 1.
  • FIG. It is a figure which shows the equipment information of the storage battery for demonstrating the flowchart in Embodiment 1.
  • FIG. It is a figure which shows the equipment information of the solar power generator for demonstrating the flowchart in Embodiment 1.
  • FIG. It is a figure which shows the equipment information of the AC / DC converter connected to the power receiving point for explaining the flowchart in Embodiment 1.
  • FIG. It is a figure which shows the equipment information of the DC / DC converter connected to the storage battery for demonstrating the flowchart in Embodiment 1.
  • FIG. It is a figure which shows the equipment information of the DC / DC converter connected to the solar power generator for demonstrating the flowchart in Embodiment 1.
  • FIG. It is a figure which shows the demand power prediction value of the power load apparatus A (600V) for explaining the flowchart in Embodiment 1.
  • FIG. 1 It is a figure which shows the demand power prediction value of the power load apparatus B (200V) for explaining the flowchart in Embodiment 1.
  • FIG. It is a figure which shows the predicted value of the supply power of the solar power generator for demonstrating the flowchart in Embodiment 1.
  • FIG. It is a figure which shows the example of the supply plan of the power receiving point created in Embodiment 1.
  • FIG. It is a figure which shows the example of the supply plan for the power load device A (600V) of the power receiving point created in Embodiment 1.
  • FIG. It is a figure which shows the example of the supply plan for the power load device B (200V) of the power receiving point created in Embodiment 1.
  • FIG. It is a figure which shows the example of the supply plan of the storage battery created in Embodiment 1.
  • FIG. It is a figure which shows the example of the supply plan for the electric power load device A (600V) of the storage battery created in Embodiment 1.
  • FIG. It is a figure which shows the example of the supply plan for the electric power load device B (200V) of the storage battery created in Embodiment 1.
  • FIG. It is a figure which shows the example of the supply plan for the electric power load equipment A (600V) of the photovoltaic power generator created in Embodiment 1.
  • FIG. It is a figure which shows the example of the supply plan for the electric power load equipment B (200V) of the photovoltaic power generator created in Embodiment 1.
  • FIG. It is a hardware block diagram which shows the structure of the power supply management apparatus in Embodiment 1.
  • FIG. 1 is a diagram showing the configuration of a consumer facility.
  • Storage batteries electric power storage devices 102 such as electric vehicles (hereinafter referred to as "EV"), renewable energy devices such as solar generators and wind generators (hereinafter referred to as “renewable energy device 103"), power receiving points 107, etc.
  • the power supply device supplies power to the power load device 106 such as the power load device A (600V) and the power load device B (200V) having different voltages.
  • the renewable energy device 103 and the power receiving point 107 supply electric power to the power storage device 102.
  • the power receiving point 107 means AC power purchased from an electric power company.
  • the AC current at the power receiving point 107 is converted into DC power having a plurality of different voltages by the AC / DC converter (AC / DC converter 104).
  • the DC power of the power storage device 102 and the renewable energy device 103 is converted into DC power having a plurality of different voltages by the DC / DC converter (DC / DC converter 105).
  • the AC / DC converter (AC / DC converter 104) and the DC / DC converter (DC / DC converter 105) are collectively referred to as voltage converters (104, 105).
  • the power supply management device 101 creates a supply plan that determines the distribution of power supplied from the power supply device to the power load device 106 through the voltage converters (104, 105), and based on the supply plan, the power supply device and the power supply device A control command value is issued to a device such as a voltage converter (104, 105).
  • the solid line in FIG. 1 represents the flow of supplied power, and the dotted line represents the flow of information.
  • the information includes information about each device such as the power storage device 102, the renewable energy device 103, the power load device 106, and the power receiving point 107 acquired from the power supply management device 101, and the control output from the power supply management device 101 to each device. It refers to information such as command values.
  • the power load device A is 600 V and the power load device B is 200 V, but the present invention is not limited to this, and any voltage may be used as long as the voltage is different.
  • the number of power load devices 106 is not limited. In FIG. 1, there are two DC / DC converters 105 connected to the power storage device 102, one for charging and one for discharging, but the present invention is not limited to this, and one unit can be used for both charging and discharging. Electric power may be exchanged, and the number is not limited.
  • the power supply management device 101 monitors and measures the status of the voltage converters (104, 105) and the device, and controls the voltage converters (104, 105) and the device.
  • the consumer facility does not have to be one, and may be a community composed of a plurality of consumer facilities. In that case, each facility may be maintained for each customer facility, or may be retained as a shared facility in the community.
  • FIG. 2 is a diagram of an example of the configuration of the voltage converter (AC / DC converter 104).
  • the voltage converter (AC / DC converter 104) handled in the present embodiment converts one voltage converter (AC / DC converter 104) into electric power of a plurality of different voltages. Power can be supplied to the power load device 106.
  • a voltage converter (AC / DC converter 104) is used to convert voltage from a plurality of power supply devices to a plurality of power load devices 106.
  • the voltage converter shown in FIG. 2 is an example of the AC / DC converter 104.
  • FIG. 3 is a block diagram of the power supply management device 101.
  • the power supply management device 101 includes a power receiving point information unit 201, a power storage device information unit 202, a renewable energy device information unit 203, a voltage converter information unit 204, a power demand prediction unit 205, a power generation prediction unit 206, and a supply plan creation unit 207.
  • the power receiving point information unit 201 manages contract information (contract power, electricity rate unit price) with a business operator selling electricity such as a power retailing business operator at the power receiving point 107.
  • the power storage device information unit 202 manages the state of the power storage device 102 such as a storage battery and an EV.
  • the renewable energy device information unit 203 manages equipment information of the renewable energy device 103 such as a solar power generator and a wind power generator.
  • the voltage converter information unit 204 manages information such as conversion efficiency of the voltage converters (104, 105). Details will be described later.
  • the conversion efficiency means the conversion efficiency when the voltage is converted by the voltage converters (104, 105). Since the voltage converter of the present embodiment can convert a plurality of voltages, one voltage converter (104, 105) has a plurality of conversion efficiencies depending on the voltage to be converted.
  • the power demand forecasting unit 205 predicts the future power consumption of the power load equipment 106 having different voltages.
  • the electric power generation prediction unit 206 predicts the future electric power generated by the renewable energy device 103 or the like such as a solar power generator and a wind power generator.
  • the supply plan creation unit 207 is based on the power demand forecast information, the power generation forecast information, the status information of the power storage device 102 such as the storage battery and the EV, the conversion efficiency information of the voltage converters (104, 105), etc. Determine the optimum amount of power supply for each power supply device at each time so as to suppress the decrease in efficiency over a long period of time.
  • the power source control unit 208 calculates a control command value based on the supply plan created by the supply plan creation unit 207 and controls each device.
  • the power supply management device 101 includes a power generation prediction unit 206 that predicts the power supply prediction value of the power supply device, and a power demand prediction unit 205 that predicts the demand power prediction value of the power load device 106.
  • the supply plan creation unit 207 will create a supply plan based on the supply power forecast value and the demand power forecast value.
  • the power receiving point information unit 201 manages contract information (contract power, electricity rate unit price) with a business operator selling electricity such as an electric power retailer.
  • FIG. 4 is a diagram showing an example of contract power information among contract information.
  • the contract power information the minimum value of the contract power and the maximum value of the contract power are managed.
  • the minimum value of the contract power is 0 kW
  • the maximum value of the contract power is 200 kW.
  • FIG. 5 is a diagram showing an example of the electricity rate unit price in the contract information.
  • the unit price of electricity is managed hourly, and the contract is 15 yen per 1kWh from 9:00 to 21:00, 10 yen per 1kWh from 0:00 to 8:00, and 22:00 to 24:00. This is an example.
  • the unit price of electricity may be in minutes instead of hours as shown in FIG. 5, and the unit is not limited.
  • the power storage device information unit 202 provides equipment information (maximum charge power, minimum charge power, maximum discharge power, minimum discharge power, storage capacity, maximum usable storage amount, usable minimum storage amount, etc.) of the power storage device 102 such as a storage battery and EV.
  • equipment information maximum charge power, minimum charge power, maximum discharge power, minimum discharge power, storage capacity, maximum usable storage amount, usable minimum storage amount, etc.
  • the storage capacity is the capacity of power that can be stored by the power storage device 102
  • the maximum usable storage amount is the maximum value of the storage amount that can be actually used by the power storage device 102
  • the minimum usable storage amount is the case where power is used from the power storage device 102.
  • it refers to the minimum amount of electricity that remains.
  • FIG. 6 is a diagram showing an example of equipment information of the storage battery.
  • the maximum charge power of the storage battery is 100 kWh
  • the minimum charge power is 0 kWh
  • the maximum discharge power is 100 kWh
  • the minimum discharge power is 0 kWh
  • the storage capacity is 200 kWh
  • the maximum usable storage amount is 180 kWh
  • the minimum usable storage amount is 180 kWh. Is an example of 20kWh.
  • the capacity that can be used as electric power is 160 kWh, which is 20 kWh to 180 kWh.
  • FIG. 7 is a diagram showing an example of the current storage amount of the storage battery.
  • the equipment information of the storage battery is divided into two, FIG. 6 and FIG. 7, but the present invention is not limited to this, and may be one.
  • the current storage amount of the storage battery is managed, and in the example of FIG. 7, the current storage amount is 120 kWh.
  • the EV power storage device 102 in addition to the above-mentioned equipment information, information on the estimated arrival time, the scheduled departure time, the required storage amount at the time of departure, and the connection state to the charger is managed.
  • FIG. 8 is a diagram showing an example of equipment information of the storage battery of the EV power storage device 102.
  • the maximum charging power of the storage battery is 6kWh
  • the minimum charging power is 0kWh
  • the maximum discharging power is 6kWh
  • the minimum discharging power is 0kWh
  • the storage capacity is 32kWh
  • the maximum usable storage amount is 28.8kWh
  • the minimum usable amount is 12.8 kWh.
  • FIG. 9 is a diagram showing an example of equipment information of the storage battery of the EV power storage device 102.
  • the estimated arrival time of the EV is 08:30
  • the scheduled departure time is 17:30
  • the required storage amount at the time of departure of 24 kWh which is the storage amount that needs to be stored before the EV departs, is managed. be.
  • FIG. 10 is a diagram showing an example of equipment information of the storage battery of the EV power storage device 102.
  • the connection state 1 indicating whether or not the EV is connected to the charging station, and the current storage amount of 20.1 kWh are managed.
  • the connected state is 1 for connected and 0 for unconnected, but any information can be used as long as it is information that can determine whether connected or not connected.
  • the renewable energy device information unit 203 manages equipment information of the renewable energy device 103 such as a solar power generator and a wind power generator.
  • the rated output is managed as the equipment information of the photovoltaic power generator. Further, as the equipment information of the wind power generator, the rated output, the rated wind speed, the cut-in wind speed, and the cut-out wind speed are managed.
  • FIG. 11 is a diagram showing an example of equipment information of the photovoltaic power generator managed by the renewable energy device information unit 203.
  • the rated output of 20.0 kW is managed.
  • FIG. 12 is a diagram showing an example of equipment information of the wind power generator managed by the renewable energy device information unit 203.
  • the rated output of 5.0 kW, the rated wind speed of 12.0 m / s, the cut-in wind speed of 3.0 m / s, and the cut-out wind speed of 17.0 m / s are managed.
  • the information of the rated wind speed, the cut-in wind speed, and the cut-out wind speed is the information used for the power generation prediction, and the generated power is predicted by using these information from the predicted value of the wind speed.
  • the voltage converter information unit 204 manages equipment information of voltage converters (104, 105) such as AC / DC converter 104 and DC / DC converter 105.
  • voltage converters (104, 105) capable of supplying power of a plurality of different voltages from one unit are targeted.
  • As the equipment information different conversion efficiencies are managed according to the maximum output power, the minimum output power, and the output power of the voltage converters (104, 105).
  • FIG. 13 is a diagram showing changes in conversion efficiency according to the output power of the voltage converters (104, 105). As shown in FIG. 13, the conversion efficiency of the voltage converters (104, 105) varies depending on the output power, and increases as the output power increases. In this embodiment, it is defined as a non-linear model.
  • FIG. 14 is a diagram showing an example of management information of the voltage converters (104, 105) stored in the voltage converter information unit 204.
  • the maximum output power, the minimum output power, the conversion efficiency (second-order term), the conversion efficiency (first-order term), and the conversion efficiency (constant) are stored for each conversion voltage. Since the conversion efficiency differs depending on the output power, the conversion efficiency is stored here for each conversion voltage.
  • voltage converters (104, 105) capable of supplying power of one to a plurality of different voltages are targeted, information for each of a plurality of conversion voltages is provided for one voltage converter. Is managed.
  • the conversion efficiency of the modeled voltage converters (104, 105) is defined as a quadratic equation, so that the conversion efficiency is determined for each of the quadratic term, the primary term, and the constant.
  • the conversion efficiency may be defined as a linear expression, or may be defined by a coefficient instead of an expression, and the definition of the conversion efficiency is not limited.
  • the conversion voltage is divided into voltage A and voltage B, but the present invention is not limited to this, and the conversion voltage may be any number.
  • the voltage A and the voltage B are a voltage of 600 V and a voltage of 200 V.
  • the power demand forecasting unit 205 predicts the power consumption of each power load device 106 having a different voltage at each time.
  • the power demand forecasting method is estimated based on the past power consumption of each power load device 106.
  • FIG. 15 is a diagram showing an example of the electric power demand forecast value of each electric power device. As a specific prediction method, any of the known prediction methods is used. The example of FIG. 15 is an example of how many kW of demand is predicted every hour, but it may be predicted every minute, and the resolution of the predicted period is not limited.
  • the electric power generation prediction unit 206 predicts the amount of power generated at each time of the renewable energy device 103 such as a solar power generator and a wind power generator.
  • the prediction method is estimated based on the relationship between the weather information (solar radiation amount, wind speed) and the power generation amount of each device, but the specific prediction method is the same as the power demand forecast and is one of the known prediction methods. Use the method.
  • FIG. 16 is a diagram showing a predicted value of the amount of power generated by the photovoltaic power generator.
  • FIG. 16 is a diagram showing a prediction of how many kW of power is generated every hour, but it may be predicted every minute, and the resolution of the predicted period is not limited. Since the amount of power generated by solar power generation increases in the daytime when the amount of solar radiation is large, the amount of power generated in the daytime is large as shown in FIG. 16, but the amount of power generation is not limited to this, and the amount of power generation varies depending on the weather conditions.
  • FIG. 17 is a diagram showing a predicted value of the amount of power generated by the wind power generator.
  • FIG. 17 is a diagram showing a prediction of how many kW of power is generated every hour, but it may be predicted every minute, and the resolution of the predicted period is not limited.
  • the supply plan creation unit 207 uses power based on the information of the power receiving point information unit 201, the power storage device information unit 202, the renewable energy device information unit 203, the voltage converter information unit 204, the power demand prediction unit 205, and the power generation prediction unit 206.
  • a supply plan is created for which power load device 106, when, and how much power is supplied from the supply device and the voltage converter (104, 105).
  • the supply plan creation unit 207 supplies each power load device 106 based on the demand power of the power load device 106, the conversion efficiency of the voltage converters (104, 105), and the power supply for each power supply device. You will create a plan.
  • the supply plan creation unit 207 has an optimization problem based on the equipment information of the power supply equipment such as the storage battery, the equipment information of the voltage converters (104, 105), the power demand predicted value, and the power generation predicted value. Set the constraint conditions of, and create a supply plan as an objective function that minimizes the power purchase cost during the planning period.
  • one storage battery, one solar power generator, two DC / DC converters 105 (connected to the storage battery and the solar power generator, respectively), and a low voltage load group (200V) are high.
  • the constraint conditions of the optimization problem when the equipment configuration consisting of the voltage load group (600V), the supply plan to be created is in units of 1 hour, and the period is 1 day (24 hours) are as follows. The unit and period for creating a supply plan are not limited to this.
  • FIG. 18 is a diagram showing an example of the configuration of a consumer facility.
  • one storage battery one solar generator, three voltage converters (DC / DC converter 105) (connected to the storage battery and the solar generator, respectively), and a voltage converter for the power receiving point 107.
  • AC / DC converter 104 is composed of one power load device 106 (power load device A (600V) and power load device B (200V)).
  • FIG. 18 there are two DC / DC converters 105 connected to the power storage device 102, one for charging and one for discharging, but the present invention is not limited to this, and one unit can be used for both charging and discharging. Electric power may be exchanged, and the number is not limited.
  • FIG. 19 is a diagram showing a variable setting of an optimization problem for the configuration of a consumer facility.
  • the constraint conditions of the optimization problem when the supply plan to be created is in units of 1 hour and the period is 1 day (24 hours) are as shown in Equations 1 and 2 below.
  • Equations 1 and 2 are power supply and demand balance constraints. Equation 1 represents the power supply-demand balance constraint for the low-voltage power load device B (200V). Equation 2 represents the power supply-demand balance constraint for the high-voltage power load device A (600V).
  • the load low of the formula 1 represents the power demand forecast value of the power load device B (200 V), and the load high of the formula 2 represents the power demand forecast value of the power load device A (600 V).
  • the Rec low of the formula 1 represents the power supplied to the power load device B (200V) at the power receiving point 107, and the Rec high of the formula 2 represents the power supplied to the power load device A (600V) at the power receiving point 107.
  • F Rec_low and f Rec_high of formula 2 of the formula 1 represents the model equation of the conversion efficiency of the AC / DC converter 104.
  • the Pv low of the formula 1 is the power supplied to the power load device B (200V) in the amount of power generated by the renewable energy device 103 (solar generator), and the Pv high of the formula 2 is the renewable energy device 103 (solar generator).
  • power load device a (600V) to supply power of the power generation amount, f pv_low and f Pv_high of formula 2 of the formula 1 represents the model equation of the conversion efficiency of the DC / DC converter 105.
  • the renewable energy device 103 is a solar power generator, but the renewable energy device 103 may be a wind power generator, or both of them, and is not limited thereto.
  • Bat Low_charge and Bat High_discharge of formula 2 of the formula 1 represent a model equation of the conversion efficiency of the DC / DC converter 105.
  • the power storage device 102 is used as a storage battery, but the power storage device 102 may be an EV or both, and is not limited thereto.
  • the connection status of the charging station is determined based on the EV equipment information, and the charging power and the discharging power are determined. To ask.
  • FIG. 19 there are two DC / DC converters 105 connected to the power storage device 102, one for charging and the other for discharging, but since it is assumed that the DC / DC converter 105 has the same capacity, the equation 1 f Bat_low and f Bat_high of formula 2 is using a model equation of the same conversion efficiency charge for discharging. However, when DC / DC converters 105 having different capacities for charging and discharging are used, models with different conversion efficiencies for charging and discharging are used.
  • a single DC / DC converter 105 connected to the power storage device 102 may exchange power in both directions of charging and discharging, and the number of DC / DC converters 105 is not limited.
  • the power storage device 102 When the power storage device 102 is discharged, power is distributed to the power load device 106, and when the power storage device 102 is charged, power is received from a power supply device such as a power receiving point 107 or a renewable energy device 103.
  • the supply plan creation unit 207 is based on the conversion efficiency of the voltage converters (104, 105) corresponding to the demand power of the power load device 106 and the power supply for each power supply device for each power load device 106.
  • a supply plan that is equal to the sum of the distributed power (desired power) distributed from the power supply device for each device 102, the renewable energy device 103, and the power receiving point 107) and satisfies the constraint condition for each power supply is created.
  • the supply plan creation unit 207 creates a supply plan in which the required power is equal to the total distributed power for each power supply device reflecting the conversion efficiency and satisfies the constraint condition for each power supply.
  • the power supply device includes at least one of the renewable energy device 103, the power receiving point 107, and the power storage device 102.
  • the constraint conditions are for each power supply device (power storage device 102, renewable energy device 103, power receiving point 107), and vary depending on the power supply device connected to the system. The details of the constraint conditions will be described below.
  • the power supply devices are the power storage device 102, the energy storage device 103, and the power receiving point 107, but the combination is not limited to this, and the combination of the power receiving point 107 and the storage battery and the power storage device 102 and the power storage device 102 are regenerated. Any combination with the energy device 103 is not limited. Equations 3, 4, and 5 of the constraint conditions of the voltage converter (AC / DC converter 104) connected to the power receiving point 107 will be described.
  • Equations 3, 4, and 5 are relational expressions of the voltage converter (AC / DC converter 104) connected to the power receiving point 107, and Rec represents the power of the power receiving point 107. Further, Rec low Min and Rec high Min represent the minimum output power which is the minimum power for each voltage of the voltage converter (AC / DC converter 104) connected to the power receiving point 107. Rec low Max and Rec high Max represent the maximum output power which is the maximum power for each voltage of the voltage converter (AC / DC converter 104) connected to the power receiving point 107.
  • Equation 3 low power load device B of the voltage of the power supplied from the power Rec low (t) and the receiving point 107 to a high power load device A of the voltage supplied (200V) to the receiving point 107 Rec high (t) It is shown that the total is the power Rec (t) of the power receiving point 107. t indicates time, and Rec (t) indicates that electric power is a function that converts hour by time.
  • the above equation represents the upper and lower limit constraints of the power receiving point 107, where Rec min represents the lower limit value (contract power (minimum value)) and Rec max represents the upper limit value (contract power (maximum value)).
  • the constraint condition of the supply planning unit 207 is that the power distributed from the power receiving point 107 does not exceed the contracted power and the power purchase cost is reduced. The details of the conditions for reducing the power purchase cost will be described later.
  • equations 7, 8 and 9 of the constraint conditions of the voltage converter (DC / DC converter 105) connected to the photovoltaic generator will be described.
  • the above equation is a relational expression of the voltage converter (DC / DC converter 105) connected to the renewable energy device 103 (photovoltaic generator), and Pv is the relational expression of the renewable energy device 103 (photovoltaic generator).
  • Pv low Min and Pv high Min represent the minimum output power which is the minimum power for each voltage of the voltage converter (DC / DC converter 105) connected to the renewable energy device 103.
  • Pv low Max and Pv high Max represent the maximum output power which is the maximum power for each voltage of the voltage converter (DC / DC converter 105) connected to the renewable energy device 103.
  • the constraint condition of the supply planning unit 207 is that the sum of the electric power distributed from the renewable energy device 103 to each power load device 106 is the predicted power generation amount of the renewable energy device 103. It is a condition that each of the electric powers distributed to each power load device 106 is within the rated output.
  • Equation 7 shows the power Pv low (t) supplied from the renewable energy device 103 (solar generator) to the low-voltage power load device B (200V) and the high-voltage power device A to the renewable energy device 103 (solar power generation). It is shown that the total of the electric power Pv high (t) supplied from the machine) is the generated power Pv (t) of the renewable energy device 103 (solar generator). t indicates time, and Pv (t) indicates that electric power is a function that converts each time.
  • the renewable energy device 103 is described as a solar power generator, but even if it is a wind power generator, the same constraint conditions apply.
  • the constraint condition of the supply plan creation unit 207 is that the sum of the powers distributed from the power storage device 102 to each power load device 106 is the discharge power of the power storage device 102, and the power storage is performed.
  • the sum of the charging power of the voltage corresponding to the power load device 106 supplied from the power supply device other than the device 102 is the charging power to be charged to the power storage device 102, and the charging power is from the minimum power to the maximum for each power load device 106. It is within the power, the discharge power is within the minimum power to the maximum power of each power load device 106, and the power storage device 102 cannot be charged and discharged at the same time.
  • the formulas 10 to 15 are relational expressions of the voltage converter (DC / DC converter 105) connected to the power storage device 102 (storage battery), and the Bat charge is the charging power of the power storage device 102 (storage battery), Bat.
  • the display represents the discharge power of the power storage device 102 (storage battery).
  • Bat low_charge Min, Bat high_charge Min, Bat low_dicharge Min, and Bat high_dichage Min are the minimum powers for charging and discharging each conversion voltage of the voltage converter (DC / DC converter 105) connected to the power storage device 102 (storage battery). Represents the minimum output power.
  • the Bat low_charge Max, Bat high_charge Max, Bat low_dichage Max, and Bat high_dichage Max are the charge / discharge of each conversion voltage of the voltage converter (DC / DC converter 105) connected to the power storage device 102 (storage battery). Represents the maximum output power.
  • Equation 10 is supplied from the power storage device 102 (storage battery) to the low-voltage power load device B (200V) and the discharge power Bat low_discharge (t) supplied from the power storage device 102 (storage battery) to the high-voltage power device A.
  • total discharge power Bat high_discharge (t) have shown that the discharge power Bat discharge of the power storage device 102 (storage battery) (t).
  • the total of the charging power Bat low_charge (t) of the voltage B supplied from the power supply device other than the power storage device 102 (storage battery) and the charging power Bat high_charge (t) of the voltage A is the power storage device 102 (storage battery). It is shown that the charging power of Bat charge (t) is obtained. t represents time, Bat discharge (t), Bat charge (t) indicates that power is a function that converts every time.
  • the charging power means the power charged in the power storage device 102 (storage battery).
  • Equations 16 and 17 are control constraints for the power storage device 102 (storage battery), and represent restrictions that allow only charging or discharging from the power storage device 102 (storage battery) at the same time.
  • Equations 18 to 20 are upper and lower limit constraints for charging and discharging the power storage device 102 (storage battery), Bat charge Min is the minimum charging power which is the lower limit of charging power, and Bat charge Max is the upper limit of charging power.
  • the maximum charge power, Bat display Min represents the minimum discharge power which is the lower limit value of the discharge power, and the Bat display Max represents the maximum discharge power which is the upper limit value of the discharge power.
  • Equation 18 the batch storage of the storage capacity is the charge power multiplied by the conversion efficiency f charge minus the discharge power multiplied by the conversion efficiency f display , and added to the already charged capacity. It is an expression indicating that it is a thing.
  • a condition may be provided as a constraint condition at the time of discharging so that the power cannot be distributed more than the power that can be distributed by the power storage device 102.
  • the current storage amount is 120kWh
  • the storage capacity is 200kWh
  • the maximum usable storage amount is 180kWh
  • the minimum usable storage amount is 20kWh
  • the power that can be distributed is 100kWh, which is obtained by subtracting the usable minimum storage amount of 20kWh from the current storage amount of 120kWh.
  • the power that can be distributed is 160kWh, which is obtained by subtracting the minimum usable storage amount of 20kWh from the maximum usable storage amount of 180kWh.
  • a condition may be provided so that the electric power exceeding the storage capacity of the power storage device 102 cannot be distributed to the power storage device 102.
  • the connection of the EV charging station is predicted from the information of the scheduled arrival time and the scheduled departure time of the EV equipment information, and the charging power and the discharging power at the time when the EV is not connected are set to 0.
  • a constraint condition is set so that the power storage at the scheduled departure time of the EV does not fall below the required power storage.
  • the formula of formula 21 represents the power purchase cost obtained by multiplying the power receiving point power by the unit price of electricity (unit).
  • the supply plan creation unit 207 creates a supply plan for each power supply device.
  • the supply plan of each facility discharge power of the power storage device 102 distributed to each power load device 106, power of the power receiving point 107, power of the renewable energy device 103, etc., so as to minimize the power purchase cost, (Charging power to the power storage device 102 distributed from each power load device 106, etc.) is created.
  • the supply plan refers to a plan of how much power is supplied from which power supply device to which power load device 106 through the voltage converters (104, 105).
  • the power source control unit 208 controls each device using the supply plan of each power supply device created by the supply plan creation unit 207 as a control command value. In this way, the power source control unit 208 issues a control command value for allocating power from the power supply device to the power load device 106 based on the supply plan.
  • FIG. 20 is a flowchart of processing of the power supply management device 101. The processing of the power supply management device 101 will be described with reference to the flowchart of FIG.
  • the supply plan creation unit 207 acquires the contract information (contract power, electricity rate unit price) managed by the power receiving point information unit 201.
  • the supply plan creation unit 207 describes the maximum charge power, the minimum charge power, the maximum discharge power, the minimum discharge power, the storage capacity, and the current state of the storage battery managed by the power storage device information unit 202. Acquires information on the amount of electricity stored, the maximum amount of electricity that can be used, and the minimum amount of electricity that can be used.
  • the supply plan creation unit 207 indicates that the maximum charge power, the minimum charge power, the maximum discharge power, the minimum discharge power, the storage capacity, the current storage amount, the maximum usable storage amount, and the use of the EV. Acquires information on the minimum possible storage capacity, usage plan (scheduled arrival time, scheduled departure time, required storage capacity at the time of departure), and connection status.
  • the supply planning unit 207 acquires the rated output of the photovoltaic generator managed by the photovoltaic power generator information unit 203, and when the renewable energy device 103 is a wind power generator. To obtain the rated output, rated wind speed, cut-in wind speed, and cut-out wind speed of the wind power generator.
  • the supply plan creation unit 207 acquires the equipment information of the AC / DC converter 104 and the DC / DC converter 105 managed by the voltage converter information unit 204.
  • the data acquisition of the supply plan creation unit 207 in step S101 will be described with reference to FIGS. 21 to 28 with specific examples.
  • FIG. 21 is a diagram showing information on the contracted power of the power receiving point 107 for explaining the flowchart.
  • the supply plan creation unit 207 acquires information of a minimum contract power value of 0 kW and a maximum contract power value of 200 kW from the power receiving point information unit 201.
  • FIG. 22 is a diagram showing the electricity rate unit price of the power receiving point 107 for explaining the flowchart.
  • the supply plan creation unit 207 acquires the hourly electricity rate unit price from the power receiving point information unit 201.
  • FIG. 23 is a diagram showing equipment information of the power storage device 102 (storage battery) for explaining the flowchart.
  • the supply plan creation unit 207 from the power storage device information unit 202 has a maximum charge power of 100 kW, a minimum charge power of 0 kW, a maximum discharge power of 100 kW, a minimum discharge power of 0 kW, a storage capacity of 200 kWh, an efficiency of 0.9, and a maximum usable storage amount. Acquire 180kWh and the minimum usable storage amount of 20kWh.
  • FIG. 24 is a diagram showing equipment information of the power storage device 102 (storage battery) for explaining the flowchart.
  • the supply plan creation unit 207 acquires the current storage amount of 120 kWh from the power storage device information unit 202.
  • FIG. 25 is a diagram showing equipment information of the renewable energy device 103 (solar power generator) for explaining the flowchart.
  • the supply plan creation unit 207 acquires the rated output of the photovoltaic power generator of 20.0 kWh from the renewable energy device information unit 203.
  • FIG. 26 is a diagram showing equipment information of the AC / DC converter 104 connected to the power receiving point 107 for explaining the flowchart.
  • the supply plan creation unit 207 tells the voltage converter information unit 204 that the maximum output voltage is 200 kW, the minimum output voltage is 0 kW, and the conversion efficiency (secondary item) is 0. 001, the conversion efficiency (first-order term) is 0.8, and the conversion efficiency (constant) is 0.
  • the supply planning unit 207 converts the maximum output voltage to 200 kW, the minimum output voltage to 0 kW, the conversion efficiency (secondary term) to 0.002, and the conversion from the voltage converter information unit 204.
  • the efficiency (first-order term) is 0.9, and the conversion efficiency (constant) is 0.
  • FIG. 27 is a diagram showing equipment information of the DC / DC converter 105 connected to the power storage device 102 (storage battery) for explaining the flowchart.
  • the supply plan creation unit 207 tells the voltage converter information unit 204 that the maximum output voltage is 100 kW, the minimum output voltage is 0 kW, and the conversion efficiency (secondary item) is 0. 001, the conversion efficiency (first-order term) is 0.8, and the conversion efficiency (constant) is 0.
  • the supply planning unit 207 converts the maximum output voltage to 100 kW, the minimum output voltage to 0 kW, the conversion efficiency (secondary term) to 0.002, and the conversion from the voltage converter information unit 204.
  • the efficiency (first-order term) is 0.9, and the conversion efficiency (constant) is 0.
  • FIG. 28 is a diagram showing equipment information of the DC / DC converter 105 connected to the renewable energy device 103 (solar power generator) for explaining the flowchart.
  • the supply plan creation unit 207 tells the voltage converter information unit 204 that the maximum output voltage is 20 kW, the minimum output voltage is 0 kW, and the conversion efficiency (secondary item) is 0. 001, the conversion efficiency (first-order term) is 0.8, and the conversion efficiency (constant) is 0.
  • the supply planning unit 207 converts the maximum output voltage to 20 kW, the minimum output voltage to 0 kW, the conversion efficiency (secondary term) to 0.002, and the conversion from the voltage converter information unit 204.
  • the efficiency (first-order term) is 0.9, and the conversion efficiency (constant) is 0.
  • the calculation of the predicted values of the power demand forecasting unit 205 and the power generation forecasting unit 206 in step S102 will be described with reference to FIGS. 29 to 31 with specific examples.
  • the power demand prediction unit 205 predicts the demand power prediction value, which is the predicted value of the power consumption at each time of each power load device 106 having a different voltage.
  • the predicted power generation amount which is the predicted value of the power generation amount at each time of the renewable energy device 103 such as a light generator and a wind power generator, is predicted.
  • FIG. 29 is a diagram showing a predicted power demand value of the power load device A (600V) for explaining the flowchart.
  • the power demand forecasting unit 205 predicts the demand power forecast value of the power load device A (600V).
  • the power demand is predicted by a known method such as prediction from past actual data.
  • FIG. 30 is a diagram showing a predicted power demand value of the power load device B (200V) for explaining the flowchart.
  • the power demand forecasting unit 205 predicts the demand power forecast value of the power load device B (200V).
  • the power demand is predicted by a known method such as prediction from past actual data.
  • FIG. 31 is a diagram showing a predicted power supply value of the renewable energy device 103 (solar power generator) for explaining the flowchart.
  • the power generation prediction unit 206 predicts the power supply of the photovoltaic power generator.
  • the power supply is predicted by a known method such as prediction from observation data such as meteorological information.
  • the wind power generator is not shown, the wind power generator is also predicted by a known method such as prediction from observation data such as weather information. Predict using information such as rated wind power, cut-in wind speed, and cut-out wind speed.
  • the supply plan creation unit 207 uses the information acquired in step S101 and the predicted value calculated in step S102 to supply and demand balance constraints and constraint conditions of each facility in the optimization problem.
  • (Relational expressions of voltage converters (104, 105), upper and lower limit constraints, state changes, operation constraints, etc.) are created.
  • the supply-demand balance constraints and constraints at the time are as follows.
  • the power demand forecast value (Road low ) of the power load device A (600V) and the power demand forecast value (Load high ) of the power load device B (200V) are obtained.
  • the conversion efficiency is set by the conversion voltage of the voltage converters (104, 105) for each power supply device. Other than that, it is a decision variable calculated by the optimization calculation.
  • the following is the relational expression of the AC / DC converter 104 connected to the power receiving point 107.
  • the values in FIG. 26 are set as follows, and the power (Rec) of the power receiving point 107 and the power load of the power receiving point 107 are set as follows.
  • power supplied to the device B 200V
  • Rec low power supplied to the power load device a of receiving point 107
  • 600V power supplied to the power load device a of receiving point 107
  • the following is the relational expression of the DC / DC converter 105 connected to the solar generator.
  • the values in FIGS. 28 and 31 are set as follows, and the electric power in the power generation amount of the solar generator is set as follows.
  • the power supplied to the load device B (200V) (Pv low ) and the power supplied to the power load device A (600V) in the amount of power generated by the solar generator (Pv high ) are determinants calculated by the optimization calculation. It becomes.
  • the values in FIG. 27 are set as follows, and the charging power of the power storage device 102 (storage battery) is included.
  • power supplied to the power load device B (200V) (Bat low_charge) power storage device 102 supplies the power load device B of the discharge power (battery) (200V) power (Bat low_discharge)
  • power storage device 102 supplies the power load device a of the discharge power (battery) (600V) power (Bat high_discharge) is It is a determinant calculated by the optimization calculation.
  • the values in FIG. 23 are set as follows, and the power storage amount (Bat storage ) of the power storage device 102 (storage battery) and the power storage device 102 (storage battery).
  • the charging power (Bat charge ) and the discharging power (Bat dishage ) of the power storage device 102 (storage battery) are determinants calculated by the optimization calculation.
  • the supply plan creation unit 207 creates an objective function in the optimization problem.
  • the value of the electricity rate unit price at each time in FIG. 5 is set to unit with respect to the objective function of the optimization problem defined by the supply plan creation unit 207 described above.
  • the supply plan creation unit 207 solves the optimization problem created in steps S103 and S104 using the optimization solver, and uses the optimization solver to solve the power (Rec) of the power receiving point 107, which is a determinant. ), the power load device B (200V) to supply electric power receiving point 107 (Rec low), calculates the power (Rec high) supplied to the power load device a of receiving point 107 (600V).
  • the supply plan creation unit 207 supplies electric power (Pv low ) to the power load device B (200V) in the amount of power generated by the renewable energy device 103 (solar generator), and the renewable energy device 103 (solar generator). ), The power (Pv high ) to be supplied to the power load device A (600V) is calculated.
  • the supply planning unit 207 is charged with a voltage of 200 V ( Batterow_charge ) supplied from the power supply device to the power storage device 102 (storage battery) and a charge power with a voltage of 600 V supplied from the power supply device to the power storage device 102 (storage battery). (Bat high_charge ), is calculated.
  • the reason why the charging power is a voltage of 200V is that the voltage converters (104, 105) perform voltage conversion at a voltage of 200V corresponding to the power load device B (200V). Further, the reason why the charging power becomes a voltage of 400V is that the voltage converters (104, 105) perform voltage conversion at a voltage of 600V corresponding to the power load device A (600V).
  • the supply plan creation unit 207 is a power load device in the power load device A (200V) in the discharge power of the power storage device 102 (storage battery) (Bat low_discharge ) and a power load device in the discharge power of the power storage device 102 (storage battery).
  • the electric power (Bat high_discharge ) supplied to A (600V) is calculated.
  • Supply planning unit 207 the storage amount of the power storage device 102 (storage battery) (Bat storage), the charging power of the power storage device 102 (storage battery) (Bat charge), the discharge power of the power storage device 102 (storage battery) (Bat Discharge) Calculate the time value.
  • the supply plan creation unit 207 creates a supply plan for each facility based on the result calculated in step S105.
  • FIG. 32 is a diagram showing an example of the supply plan of the created power receiving point 107.
  • the supply plan creation unit 207 creates a supply plan for the power receiving point 107.
  • the supply plan of the power receiving point 107 is a plan of how much power should be accommodated in total of the supply from the power receiving point 107 to the power load device 106 and the charging to the power storage device 102 per hour.
  • FIG. 33 is a diagram showing an example of a supply plan for the created power load device A (600V) at the power receiving point 107.
  • the supply plan creation unit 207 creates a supply plan for the power load device A (600V) at the power receiving point 107.
  • the supply plan for the power load device A (600V) at the power receiving point 107 is how much power is converted from the power receiving point 107 to 600V by the AC / DC converter 104 and supplied to the power load device A (600V) per hour. It is a plan to do it.
  • FIG. 34 is a diagram showing an example of a supply plan for the power load device B (200V) at the created power receiving point 107.
  • the supply plan creation unit 207 creates a supply plan for the power load device B (200V) at the power receiving point 107.
  • the supply plan for the power load device B (200V) at the power receiving point 107 is how much power is converted from the power receiving point 107 to 200V by the AC / DC converter 104 per hour and supplied to the power load device B (200V). It is a plan to do it.
  • FIG. 35 is a diagram showing an example of a supply plan of the created power storage device 102 (storage battery).
  • the supply plan creation unit 207 determines how much power the power storage device 102 (storage battery) supplies to the power load device 106 per hour, and how much power is supplied to the power storage device 102 (storage battery) per hour. It is a plan of charge / discharge power including whether to charge.
  • FIG. 36 is a diagram showing an example of a supply plan for the power load device A (600V) of the created power storage device 102 (storage battery).
  • the supply plan creation unit 207 creates a supply plan for the power load device A (600V) of the power storage device 102 (storage battery).
  • the supply plan for the power load device A (600V) of the power storage device 102 (storage battery) is the power load device that converts how much power from the power storage device 102 (storage battery) into 600V by the DC / DC converter 105 per hour. It is a plan to supply to A (600V).
  • FIG. 37 is a diagram showing an example of a supply plan for the power load device B (200V) of the created power storage device 102 (storage battery).
  • the supply plan creation unit 207 creates a supply plan for the power load device B (200V) of the power storage device 102 (storage battery).
  • the supply plan for the power load device B (200V) of the power storage device 102 (storage battery) is the power load device that converts how much power from the power storage device 102 (storage battery) into 200V by the DC / DC converter 105 per hour. It is a plan to supply to B (200V).
  • FIG. 38 is a diagram showing an example of a supply plan for the power load device A (600V) of the created renewable energy device 103 (solar power generator).
  • the supply plan creation unit 207 creates a supply plan for the power load device A (600V) of the renewable energy device 103 (photovoltaic generator).
  • the supply plan for the power load device A (600V) is the power load device A (600V) by converting how much power from the renewable energy device 103 (solar generator) into 600V with the DC / DC converter 105 per hour. ) Is planned to be supplied.
  • FIG. 39 is a diagram showing an example of a supply plan for the power load device B (200V) of the created renewable energy device 103 (solar power generator).
  • the supply plan creation unit 207 creates a supply plan for the power load device B (200V) of the renewable energy device 103 (photovoltaic generator).
  • the supply plan for the power load device B (200V) of PV is the power load device B by converting how much power from the renewable energy device 103 (photovoltaic generator) into 200V by the DC / DC converter 105 per hour. It is a plan to supply (200V).
  • the supply plan creation unit 207 has a power load device A (600 V) and a power load device B for each device. Create a power supply plan for (200V).
  • the power receiving point 107, the storage battery, and the solar power generator are set as the power supply device, but the present invention is not limited to this, and a combination of the power receiving point 107 and the storage battery may be used. , Various patterns of power supply equipment can be considered.
  • the power storage device 102 may be an EV, and the renewable energy device 103 may be a wind power generator.
  • the power load device 106 is a power load device A (600V) and a power load device B (200V), but the number of power load devices 106 and the number of volts are not limited.
  • the power source control unit 208 issues a control command value based on the supply plan of each facility set in step S106, and outputs the power storage device 102, the renewable energy device 103, and the power load. It controls each device such as the device 106.
  • the supply plan creation unit 207 determines whether or not it is the timing to update the supply plan. When it is determined that it is time to update the supply plan, the process returns to step S103, and the supply plan is created and updated again. As for the determination of the renewal timing, an existing method such as determining based on a predetermined date and period can be considered. If it is determined that it is not the timing to update the supply plan, the process proceeds to step S109.
  • the power generation prediction unit 206 determines whether or not the predicted values such as the demand power predicted value and the supplied power predicted value are at the timing of updating. If it is determined that there is a timing for the update, the process returns to step S102, the predicted value is calculated again, and the predicted value is updated. An existing method is conceivable for determining the timing of updating the predicted value based on a predetermined date and period. If it is determined that it is not the timing for updating the predicted value, the process proceeds to step S110.
  • the supply plan creation unit 207 determines whether or not to terminate the process.
  • the determination of whether or not to end may be made based on the input from the user as the end of acceptance, or may be determined based on a predetermined date and period, and an existing method can be considered.
  • FIG. 40 is a hardware configuration diagram showing the configuration of the power supply management device 101.
  • the power supply management device 101 includes an input interface 301, a CPU (Central Processing Unit) 302, a storage device 303, and an output interface 304.
  • the interface will be referred to as IF hereafter.
  • Information stored in the power receiving point information unit 201, the power storage device information unit 202, the renewable energy device information unit 203, the voltage converter information unit 204, etc. is acquired through the input IF 301.
  • the acquired data is stored in the storage device 303, and the functions of the power demand forecasting unit 205, the power generation forecasting unit 206, the supply planning creating unit 207, and the like are realized by the CPU 302 executing the program.
  • the predicted power demand value and the predicted power supply value may be acquired from the outside through the input IF301.
  • the created supply plan is output from the output IF 304 by calculating the control command value based on the supply plan by the power source control unit 208.
  • the supply plan itself may be output from the output IF 304, and a control command value may be issued by an external device.
  • the storage device 303 is a storage medium such as an HDD, SSD, and flash memory.
  • the power supply management device 101 as described above optimally controls a plurality of power sources in consideration of the conversion efficiency of different voltage converters (104, 105) according to the amount of power for the power load devices 106 having different voltages. By supplying electric power to the electric power, it is possible to improve the efficiency of electric power use.
  • a plurality of power load devices 106 from a plurality of power supply devices using one or a plurality of voltage converters (104, 105) that convert one voltage converter (104, 105) into a plurality of voltages.
  • a voltage converter information unit 204 that stores the conversion efficiency that converts the voltage to, and a supply plan creation unit that creates a supply plan based on the required power and conversion efficiency for each power load device 106 and the power supply for each power supply device. Since the power supply management device 101 includes the 207 and the power source control unit 208 that issues a control command value for allocating power from the power supply device to the power load device based on the supply plan, the power can be efficiently supplied.
  • 101 power supply management device 102 power storage device, 103 renewable energy device, 104 AC / DC converter, 105 DC / DC converter, 106 power load device, 107 power receiving point, 201 power receiving point information unit, 202 power storage device information unit, 203 Re-energy device information unit, 204 Voltage converter information unit, 205 Electric power demand prediction unit, 206 Electric power generation prediction unit, 207 Supply plan creation unit, 208 Power source control unit.

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

La présente invention est caractérisée en ce qu'elle est pourvue : d'une unité d'informations de convertisseur de tension (204) qui stocke l'efficacité de conversion pour convertir une tension provenant d'une pluralité de dispositifs d'alimentation électrique en une pluralité de dispositifs de charge de puissance (106) en utilisant un ou plusieurs convertisseurs de tension qui convertissent chacun une tension en une pluralité de tensions ; d'une unité de génération de plan d'alimentation (207) qui génère, pour chacun des dispositifs de charge de puissance, un plan d'alimentation sur la base de l'énegie de demande et de l'efficacité de conversion et de la puissance d'alimentation de chacun des dispositifs d'alimentation électrique ; et d'une unité de commande de source d'alimentation (208) qui délivre en sortie une valeur d'instruction de commande pour attribuer de la puissance à partir des dispositifs d'alimentation électrique aux dispositifs de charge de puissance sur la base du plan d'alimentation.
PCT/JP2020/002796 2020-01-27 2020-01-27 Appareil de gestion d'alimentation électrique et procédé de gestion d'alimentation électrique WO2021152667A1 (fr)

Priority Applications (3)

Application Number Priority Date Filing Date Title
CN202080094153.0A CN115004501A (zh) 2020-01-27 2020-01-27 电力供给管理装置以及电力供给管理方法
JP2020543833A JP6849154B1 (ja) 2020-01-27 2020-01-27 電力供給管理装置及び電力供給管理方法
PCT/JP2020/002796 WO2021152667A1 (fr) 2020-01-27 2020-01-27 Appareil de gestion d'alimentation électrique et procédé de gestion d'alimentation électrique

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2020/002796 WO2021152667A1 (fr) 2020-01-27 2020-01-27 Appareil de gestion d'alimentation électrique et procédé de gestion d'alimentation électrique

Publications (1)

Publication Number Publication Date
WO2021152667A1 true WO2021152667A1 (fr) 2021-08-05

Family

ID=74879302

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2020/002796 WO2021152667A1 (fr) 2020-01-27 2020-01-27 Appareil de gestion d'alimentation électrique et procédé de gestion d'alimentation électrique

Country Status (3)

Country Link
JP (1) JP6849154B1 (fr)
CN (1) CN115004501A (fr)
WO (1) WO2021152667A1 (fr)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2016067104A (ja) * 2014-09-24 2016-04-28 レノボ・シンガポール・プライベート・リミテッド 携帯型情報処理装置、そのバッテリ制御方法、及びコンピュータが実行可能なプログラム
JP2017028869A (ja) * 2015-07-22 2017-02-02 富士電機株式会社 需給計画作成装置、プログラム
JP2018102121A (ja) * 2016-12-21 2018-06-28 ビセド オサケユイチア 電気機械的動力伝達チェーン用の電気システム
JP2018121486A (ja) * 2017-01-27 2018-08-02 三菱電機株式会社 エネルギーマネジメントシステム
JP2018207745A (ja) * 2017-06-09 2018-12-27 三菱電機ビルテクノサービス株式会社 需要家電力管理システム及びアグリゲータシステム

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2016067104A (ja) * 2014-09-24 2016-04-28 レノボ・シンガポール・プライベート・リミテッド 携帯型情報処理装置、そのバッテリ制御方法、及びコンピュータが実行可能なプログラム
JP2017028869A (ja) * 2015-07-22 2017-02-02 富士電機株式会社 需給計画作成装置、プログラム
JP2018102121A (ja) * 2016-12-21 2018-06-28 ビセド オサケユイチア 電気機械的動力伝達チェーン用の電気システム
JP2018121486A (ja) * 2017-01-27 2018-08-02 三菱電機株式会社 エネルギーマネジメントシステム
JP2018207745A (ja) * 2017-06-09 2018-12-27 三菱電機ビルテクノサービス株式会社 需要家電力管理システム及びアグリゲータシステム

Also Published As

Publication number Publication date
JP6849154B1 (ja) 2021-03-24
JPWO2021152667A1 (fr) 2021-08-05
CN115004501A (zh) 2022-09-02

Similar Documents

Publication Publication Date Title
Abdelaziz et al. A multistage centralized control scheme for islanded microgrids with PEVs
KR102346944B1 (ko) 태양광 발전량 및 부하량 예측을 통한 전기 에너지 충/방전 관리 시스템 및 방법
KR102563891B1 (ko) 신재생기반 독립형 마이크로그리드의 최적 운전을 위한 운영 시스템 및 방법
Hambridge et al. Solid State Transformer (SST) as an energy router: Economic dispatch based energy routing strategy
JP6298465B2 (ja) 電力管理装置、電力管理システム、サーバ、電力管理方法、プログラム
EP2688173A1 (fr) Fourniture de multisystème avec système de stockage d'énergie
US11916422B2 (en) Battery charge and discharge power control in a power grid
CN105684257A (zh) 用于控制微电网的操作的微电网能量管理系统和方法
JP6430775B2 (ja) 蓄電池装置
WO2013141039A1 (fr) Dispositif de gestion d'énergie, procédé de gestion d'énergie et programme
JP6196339B2 (ja) 電力管理システム
WO2020153443A1 (fr) Système de gestion d'énergie et son procédé de commande
WO2013038482A1 (fr) Dispositif de commande de coupure de puissance de crête
JP6640954B2 (ja) 電力制御システム、制御装置及び電力制御方法
Liu et al. A two-layer model for microgrid real-time scheduling using approximate future cost function
Silva et al. Hour-ahead energy resource management in university campus microgrid
JP4192131B2 (ja) 二次電池を用いた発電計画方法および発電計画装置
JP2021141778A (ja) 計画作成装置、計画作成方法およびコンピュータプログラム
JP2020178472A (ja) 施設内の充放電制御システム
US20160352116A1 (en) Energy management system
Luna et al. Generation and demand scheduling for a grid-connected hybrid microgrid considering price-based incentives
WO2021152667A1 (fr) Appareil de gestion d'alimentation électrique et procédé de gestion d'alimentation électrique
JP2017046507A (ja) 系統安定化システム
JP6705652B2 (ja) 蓄電池制御方法
El Kafazi et al. Multiobjective optimization-based energy management system considering renewable energy, energy storage systems, and electric vehicles

Legal Events

Date Code Title Description
ENP Entry into the national phase

Ref document number: 2020543833

Country of ref document: JP

Kind code of ref document: A

121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 20916301

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 20916301

Country of ref document: EP

Kind code of ref document: A1