WO2014175374A1 - Dispositif de gestion de dispositif électrique, système de gestion de dispositif électrique, procédé et programme de gestion de dispositif électrique - Google Patents

Dispositif de gestion de dispositif électrique, système de gestion de dispositif électrique, procédé et programme de gestion de dispositif électrique Download PDF

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Publication number
WO2014175374A1
WO2014175374A1 PCT/JP2014/061547 JP2014061547W WO2014175374A1 WO 2014175374 A1 WO2014175374 A1 WO 2014175374A1 JP 2014061547 W JP2014061547 W JP 2014061547W WO 2014175374 A1 WO2014175374 A1 WO 2014175374A1
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Prior art keywords
plan
period
electrical equipment
priority
unit
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PCT/JP2014/061547
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English (en)
Japanese (ja)
Inventor
矢部　正明
一郎 丸山
聡司 峯澤
雄喜 小川
香 佐藤
忠昭 坂本
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三菱電機株式会社
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Publication of WO2014175374A1 publication Critical patent/WO2014175374A1/fr

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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
    • B60L3/12—Recording operating variables ; Monitoring of operating variables
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/30—Constructional details of charging stations
    • B60L53/305—Communication interfaces
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60—Monitoring or controlling charging stations
    • B60L53/65—Monitoring or controlling charging stations involving identification of vehicles or their battery types
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L55/00—Arrangements for supplying energy stored within a vehicle to a power network, i.e. vehicle-to-grid [V2G] arrangements
    • 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
    • H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
    • 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
    • H02J3/322—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means the battery being on-board an electric or hybrid vehicle, e.g. vehicle to grid arrangements [V2G], power aggregation, use of the battery for network load balancing, coordinated or cooperative battery charging
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2240/00—Control parameters of input or output; Target parameters
    • B60L2240/80—Time limits
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2250/00—Driver interactions
    • B60L2250/16—Driver interactions by display
    • 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
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • 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
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/70—Energy storage systems for electromobility, e.g. 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
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
    • 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
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10—Technologies relating to charging of electric vehicles
    • Y02T90/12—Electric charging stations
    • 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
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10—Technologies relating to charging of electric vehicles
    • Y02T90/16—Information or communication technologies improving the operation of electric vehicles
    • 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
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10—Technologies relating to charging of electric vehicles
    • Y02T90/16—Information or communication technologies improving the operation of electric vehicles
    • Y02T90/167—Systems integrating technologies related to power network operation and communication or information technologies for supporting the interoperability of electric or hybrid vehicles, i.e. smartgrids as interface for battery charging of electric vehicles [EV] or hybrid vehicles [HEV]
    • 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
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/12—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
    • Y04S10/126—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation the energy generation units being or involving electric vehicles [EV] or hybrid vehicles [HEV], i.e. power aggregation of EV or HEV, vehicle to grid arrangements [V2G]
    • 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
    • Y04S30/00—Systems supporting specific end-user applications in the sector of transportation
    • Y04S30/10—Systems supporting the interoperability of electric or hybrid vehicles
    • Y04S30/14—Details associated with the interoperability, e.g. vehicle recognition, authentication, identification or billing

Definitions

  • the present invention relates to an electric equipment management apparatus, an electric equipment management system, an electric equipment management method, and a program.
  • Independent operation refers to operating a load in the house with electric power supplied from a storage battery, a solar power generation system, or the like in a state where the house is separated from a system power supply supplied from an electric power company.
  • the control device described in Patent Document 1 determines an operation schedule of a load during a self-sustained operation and restricts power supply according to the operation schedule. And the control apparatus of patent document 1 changes an operation schedule as needed.
  • a power outage is not systematic like a rotary power outage, and if it is caused by a natural disaster such as an earthquake, typhoon, or tsunami, it will not always restore power reliably in a relatively short time.
  • a power outage lasts for a long period of time, such as several days to several weeks, the power consumption at the load in the house, the generated power of the solar power generation system, etc. may change due to user activities, weather, and the like. Therefore, when a power failure lasts for a long time, simply reconsidering the operation schedule for the remaining time until the scheduled power outage may change the degree of power supply restriction. This greatly changes the user's comfort from time to time.
  • the present invention has been made in view of the above-described circumstances, and an object thereof is to provide a device management apparatus and the like capable of maintaining the same level of comfort during independent operation.
  • an electrical equipment management apparatus includes: First planning means for predicting a total amount of power consumed in the first period, and determining a first plan for controlling the electrical equipment in the first period based on the predicted total amount of power; Based on the first plan determined by the first planning means, second planning means for determining a second plan for controlling electrical equipment in a second period divided from the first period; Third planning means for determining a third plan by modifying the first plan based on the second plan determined by the second planning means and an actual value that is an actual remaining capacity of the storage battery; Is provided.
  • FIG. 5 is a flowchart showing a flow of planning processing according to the first embodiment. It is a flowchart which shows the flow of a long-term plan process. It is a flowchart which shows the flow of a 1st remaining capacity prediction process.
  • an electric appliance management apparatus 100 includes a home appliance 102, a power conditioner 103, and a solar power generation system 104 installed in a house via a home network 101.
  • Manage electrical equipment such as.
  • the home network 101 may be configured by wire, wireless, or a combination thereof.
  • the electrical device management apparatus 100 communicates with a terminal device 105 carried by a resident by wireless or wired communication. As a result, the resident can browse the information provided from the electric device management apparatus 100 on the terminal device 105 and can give an instruction to the electric device management apparatus 100 from the terminal device 105.
  • the area to be managed by the electrical device management apparatus 100 is not limited to a house, and may be, for example, a building or a facility.
  • Home appliances 102 are, for example, air conditioners, IH (Induction Heating) cookers, lighting fixtures, refrigerators, televisions, and hot water supply systems.
  • the power conditioner 103 is a device that converts power bidirectionally in order to charge and discharge a storage battery mounted on an EV (electric vehicle).
  • EV is an example of a storage battery, and a power storage system or the like may be installed in a house.
  • the solar power generation system 104 is an example of a power generation system installed in a residence, and is a system that generates power by receiving sunlight.
  • the electric devices are electrically connected to a light line 107 branched through a distribution board 106.
  • the electric lamp line 107 is connected to the system power supply 109 via the self-supporting switch 108.
  • the self-sustained switch 108 is a device that switches between electrical connection and disconnection between the system power supply 109 and the lamp line 107 under the control of the power conditioner 103. Note that the independent switch 108 may be switched between a connected state and a disconnected state by the electrical device management apparatus 100.
  • the self-sustained switch 108 is in a connected state, and can operate the home appliance 102, charge the EV 110 storage battery, and the like by the power supplied from the system power supply 109 and the solar power generation system 104. .
  • the self-sustained switch 108 When a power failure occurs, the self-sustained switch 108 is switched to a disconnected state. As a result, the power line 107 is disconnected from the system power supply 109. Therefore, the supply source of electric power to the house is limited to the storage battery of the EV 110 and the solar power generation system 104, and the home appliance 102 in the house operates by the electric power supplied from these (self-sustaining operation).
  • the power outage period can be as long as several days to a week.
  • sufficient power cannot be supplied only by the storage battery of the EV 110 and the solar power generation system 104, and the user's comfort is significantly reduced. Therefore, it is important that the home appliance 102 is systematically operated particularly during the independent operation.
  • the electrical device management apparatus 100 controls the operation of the home appliance 102 during the autonomous operation by providing the functional configuration shown in FIG.
  • the storage unit 111 is a flash memory, HDD (Hard Disk Drive) or the like that stores various data, and stores, for example, data 112 to 115 shown in FIG.
  • HDD Hard Disk Drive
  • the period data 112 includes information on various periods related to the independent operation, as shown in FIG.
  • the short-term planning period setting value is a period set in advance for making a short-term plan, and corresponds to, for example, a relatively short cycle (for example, one day) related to the user's lifestyle.
  • the correction period setting value is a period set in advance to correct the plan in accordance with the actual situation, and corresponds to a cycle (for example, about 10 minutes) shorter than the short-term planning period setting value.
  • the self-sustained operation period is a specific period in which self-sustained operation is scheduled, and is set based on user input.
  • the short-term plan period is a specific period set by the electric equipment management apparatus 100 based on the self-sustained operation period input by the user and the short-term plan period setting value.
  • the correction period is a specific period set by the electric appliance management apparatus 100 based on the short-term plan period and the correction period setting value.
  • the consumption history data 113 is data indicating a tendency of the amount of power consumed by the home appliance 102 in the past, and as shown in FIG. Includes the amount of power consumed.
  • the time zone represents a tendency of the user's power consumption.
  • the time zone may include information on days such as weekdays and holidays.
  • the suppression priority data 114 is data indicating the priority for suppressing the operation capability for each of the home appliances 102, and is preferably set in advance according to the user's preference.
  • a value indicating the priority is associated with an electrical device.
  • the smaller the value the higher the priority at which the operation capability is suppressed.
  • the home appliance 102 has a smaller value than the home appliance 102 with a larger value, and the operation capability is suppressed.
  • the priority may indicate which of the home appliances 102 is given priority for suppression, and the specific definition thereof may be changed as appropriate.
  • the priority at which the operation capability is suppressed may be defined to increase as the corresponding value increases.
  • the priority with which the operation capability is suppressed may be represented by a symbol, a character, or the like that is appropriately given.
  • the rated power consumption data 115 is data indicating the rated power consumption of each home appliance 102 as shown in FIG.
  • the input unit 116 is a touch panel, a button, or the like that is operated by the user to input a self-sustained operation period, the priority of the home appliance 102, and the like.
  • the power consumption acquisition unit 117 acquires the power consumption of each home appliance 102 in real time during the operation of the electric appliance management apparatus 100 and stores it in the storage unit 111 as the rated power consumption data 115.
  • the power consumption acquisition unit 117 acquires the power consumption of each home appliance 102 via the network 101. Thereby, the history of the power consumption of each home appliance 102 before the start of the self-sustaining operation period is stored as the rated power consumption data 115 in the storage unit 111.
  • the power consumption of each home appliance 102 may be acquired based on information obtained from an ammeter (not shown) or the like provided in the lamp line 107.
  • the remaining capacity acquisition unit 118 acquires the actual value that is the actual remaining capacity of the storage battery of the EV 110.
  • the timer unit 119 measures the current time.
  • the power generation amount prediction unit 120 predicts the power generation amount of the solar power generation system 104 based on regional information indicating a residential area, weather forecast information, date and time information, power generation capability information indicating the performance of the solar power generation system 104, and the like. .
  • the area information may be set in advance by the user and held by the power generation amount prediction unit 120.
  • the weather forecast information is information indicating a long-term weather forecast such as one week or a short-term weather forecast such as the current day, and may be acquired by the power generation amount prediction unit 120 via a wide area network or the like (not shown).
  • the date and time information may be acquired by the power generation amount prediction unit 120 from the time measuring unit 119.
  • the power generation capacity information may be acquired by the power generation amount prediction unit 120 from the solar power generation system 104 via the network 101.
  • the short-term plan period setting unit 121 divides the self-sustained operation period into short-term plan periods by referring to the short-term plan period setting value of the period data 112.
  • the short-term plan period setting unit 121 stores period data 112 including specific dates and times of each divided short-term plan period in the storage unit 111.
  • the long-term planning unit (first planning means) 122 includes, as long-term priorities, a priority that allows the user to live the remaining self-sustaining operation period with the same level of comfort each time the beginning of the short-term planning period arrives. Determine the plan (first plan).
  • the long-term plan unit 122 continuously acquires the current time from the time measuring unit 119 and refers to the period data 112. And the long-term plan part 122 determines the long-term priority which is the priority of the remaining independent operation period, whenever the beginning of the short-term plan period included in the period data 112 comes.
  • the long-term planning unit 122 determines the long-term priority which is the priority of the remaining independent operation period, whenever the beginning of the short-term plan period included in the period data 112 comes.
  • the long-term planning unit 122 determines the long-term priority which is the priority of the remaining independent operation period, whenever the beginning of the short-term plan period included in the period data 112 comes.
  • the long-term planning unit 122 determines the long-term priority which is the priority of the remaining independent operation period, whenever the beginning of the short-term plan period included in the period data 112 comes.
  • the long-term planning unit 122 determines the long-term priority which is the priority of the remaining independent operation period, whenever the beginning of the short-term plan
  • the long-term priority is obtained as the highest priority, and the predicted value of the remaining capacity of the EV110 storage battery at the end of the self-sustaining operation period is not smaller than a predetermined value (0 in the present embodiment).
  • the highest priority means that the degree to which the operation capability of the home appliance 102 is suppressed is the smallest, and in this embodiment, the priority is the smallest value.
  • the predicted value of the remaining capacity of the storage battery of the EV 110 at the end of the self-sustained operation period is the actual value acquired by the remaining capacity acquisition unit 118 at the beginning of the short-term planning period, and the power generation amount prediction unit when generating power in the short-term planning period when the starting period comes It is calculated based on the power generation amount predicted by 120 and the total power amount predicted to be consumed by the home appliance 102 during the remaining self-sustained operation period.
  • This total power amount is the total power amount that is predicted to be consumed during the remaining self-sustained operation period when the operation capability of the home appliance 102 is suppressed according to the priority indicated by the suppression priority data 114.
  • the total power amount is predicted based on, for example, consumption history data 113 in a time period corresponding to the remaining self-sustained operation period.
  • the correction period setting unit 123 refers to the correction period setting value of the period data 112, and divides the short-term plan period in which the start time comes into correction periods.
  • the correction period setting unit 123 stores period data 112 including specific dates and times of the divided correction periods in the storage unit 111.
  • the short-term plan unit (second plan unit) 124 determines a short-term plan (second plan) including a plan value of the remaining capacity of the storage battery of the EV 110 in each correction period.
  • the short-term plan is determined in order to correct the long-term priority according to the actual usage status of the electric power supplied from the EV 110 storage battery.
  • the short-term planning unit 124 acquires the current time from the time measuring unit 119 and refers to the period data 112. Then, each time the start of the short-term plan period included in the period data 112 arrives, the short-term plan unit 124 determines the remaining capacity of the storage battery of the EV 110 at the end of each of the correction periods included in the short-term plan period. Determine the planned value.
  • it may be about several minutes from the time set as the start time, as in the long-term planning unit 122.
  • the planned value of the remaining capacity of the storage battery of the EV 110 at the end of each correction period includes the actual value acquired by the remaining capacity acquisition unit 118 when it is determined that the start of the short-term plan period has arrived, and the short-term plan period in which the start period arrives Is calculated based on the power generation amount predicted by the power generation amount prediction unit 120 when power is generated in each of the correction periods included, and the total power amount predicted to be consumed by the home appliance 102 in each of the correction periods.
  • This total electric energy is calculated in each of the correction periods included in the short-term plan period in which the start period comes when the operation capability of the household electric appliance 102 to be suppressed is suppressed according to the long-term priority in the suppression priority data 114. This is the total power consumed.
  • home appliance 102 that is subject to suppression according to long-term priority is home appliance 102 whose priority value in suppression priority data 114 is equal to or lower than long-term priority.
  • the total amount of power consumed in each correction period is predicted based on, for example, consumption history data 113 in a time zone corresponding to each correction period.
  • the correction unit (third planning means) 125 determines a correction plan including a correction priority obtained by correcting the long-term priority according to the actual usage state of the power supplied from the storage battery of the EV 110.
  • the correcting unit 125 continuously acquires the current time from the time measuring unit 119 and refers to the period data 112. And the correction
  • the correcting unit 125 determines the correction priority which is a priority applied to control of the household appliances 102 in the correction period, whenever the start of the correction period contained in the period data 112 comes.
  • it may be about several minutes from the time set as the start time as in the case of the long-term plan unit 122.
  • the correction priority is obtained as the highest priority, and the predicted value of the remaining capacity of the EV 110 storage battery at the end of the correction period does not become smaller than the planned value of the remaining capacity of the EV 110 storage battery.
  • the planned value corresponds to the correction period in which the beginning of the planned value of the remaining capacity of the storage battery of the EV 110 at the end of the correction period determined by the short-term planning unit 124.
  • the predicted value of the remaining capacity of the storage battery of the EV 110 at the end of the correction period is predicted by the actual value acquired by the remaining capacity acquisition unit 118 at the beginning of the correction period, and by the power generation amount prediction unit 120 when power is generated in the correction period when the start period comes. It is calculated based on the amount of generated power and the total amount of power that is expected to be consumed by the home appliance 102 during the correction period when the start date comes. This total electric energy is the total electric energy consumed in the correction period when the start time comes when the operation capability of the home appliance 102 is suppressed according to the priority indicated by the suppression priority data 114. This is predicted based on the consumption history data 113 in the time period corresponding to the correction period in which the start period comes.
  • the electrical device control unit 126 controls the household electrical appliance 102 that is the target of suppression according to the correction priority determined by the correction unit 125 in the suppression priority data 114. More specifically, the electric appliance control unit 126 targets the electric home appliance 102 whose priority value in the suppression priority data 114 is equal to or lower than the correction priority, and sets the electric appliance control unit 126 in the correction period corresponding to the correction priority. Suppress operating ability.
  • the function of the device control unit 126 is realized by a processor that executes a software program (program) using, for example, a RAM (Random Access Memory) as a work area.
  • the program may be stored in advance in a ROM (Read Only Memory), a flash memory, or the like that can be accessed by the processor.
  • the display unit 127 is a liquid crystal display for presenting various types of information to the user.
  • the display unit 127 includes, for example, the priority determined in the long-term plan or the short-term plan, the applied priority, the home appliance 102 in which the operation capability is suppressed, the remaining capacity of the storage battery of the EV 110, during the independent operation period, The amount of power generated by the solar power generation system 104 is displayed. Accordingly, the user can know the current state and can grasp what kind of life should be done, and therefore can support the suppression of the deterioration of comfort.
  • the electrical device management apparatus 100 executes the planning process illustrated in FIG.
  • the short-term plan period setting unit 121 divides the self-sustained operation period into short-term plan periods by referring to the short-term plan period setting value of the period data 112, and the period data 112 including specific dates and times of the divided short-term plan periods. Is set (step S101).
  • the long-term planning unit 122 executes long-term planning processing for determining long-term priority (step S102).
  • the long-term planning unit 122 acquires a priority setting value (step S111).
  • This set value may be a value that is held in advance (for example, 0), or may be a value that is set during the autonomous operation.
  • the long-term planning unit 122 executes a first remaining capacity prediction process for predicting the remaining capacity of the storage battery of the EV 110 (step S112).
  • the long-term planning unit 122 refers to the suppression priority data 114 and extracts the household electrical appliance 102 having the priority to be suppressed according to the set value (step S131).
  • home appliances 102 in which the priority value of suppression priority data 114 is smaller than the set value are extracted.
  • the long-term planning unit 122 refers to the consumption history data 113 corresponding to the remaining independent operation period, and accumulates power consumption other than the home appliance 102 that is the object of suppression for each remaining time period.
  • the total amount of power consumed is predicted (step S132). For example, if the remaining autonomous operation period includes 12:00 to 13:00 on May 2, 2013 (weekdays), among the histories included in the consumption history data 113, 12:00 to 13:00 on weekdays.
  • the average of the power consumption of each of the home appliances 102 used in the above is integrated.
  • the power consumption can be predicted in consideration of the tendency of the home appliance 102 used by the user from 12:00 to 13:00 on weekdays, so that the prediction system can be improved.
  • the long-term plan unit 122 acquires the power generation amount predicted to be generated by the solar power generation system 104 from the power generation amount prediction unit 120 during the remaining independent operation period (step S133).
  • the long-term planning unit 122 acquires the actual value from the remaining capacity acquisition unit 118 (step S134).
  • the long-term planning unit 122 subtracts the total power amount predicted in step S132 from the sum of the power generation amount acquired in step S133 and the actual value acquired in step S134, thereby obtaining the storage battery of the EV 110 at the end of the self-sustaining operation period.
  • a predicted value of the remaining capacity is calculated (step S135), and the process returns to the long-term planning process shown in FIG.
  • the long-term planning unit 122 determines whether or not the predicted value is greater than 0 (step S113). When it determines with a predicted value not being larger than 0 (step S113; No), the long-term plan part 122 determines whether a predicted value is 0 (step S114). If it is determined that the predicted value is 0 (step S114; Yes), the long-term planning unit 122 determines the long-term priority as the current set value (step S115).
  • the long-term plan unit 122 determines whether or not the set value is equal to the maximum value (step S116). When it is determined that the set value is equal to the maximum value (step S116; Yes), the long-term plan unit 122 notifies the user by displaying on the display unit 127 that the set value is the maximum value (step S117). The long-term priority is determined as the current set value (step S115). Note that the long-term planning unit 122 may notify the user, for example, by displaying on the terminal device 105 in step S117.
  • step S116 When it is determined that the set value is not equal to the maximum value (step S116; No), the long-term plan unit 122 adds 1 to the set value (step S118), and executes the first remaining capacity prediction process (step S112). Then, it is determined whether or not the predicted value is 0 or more (step S119). When it is determined that the predicted value is not greater than or equal to 0 (step S119; No), the long-term plan unit 122 repeatedly executes steps S116 to S118 and step S112. When it determines with a predicted value being 0 or more (step S119; Yes), the long-term plan part 122 determines a long-term priority to the present setting value (step S115).
  • the long-term plan unit 122 determines whether the set value is greater than 0 (step S120). When it is determined that the set value is not greater than 0 (step S120; No), the long-term plan unit 122 determines the long-term priority as the current set value (step S115).
  • step S120 When it is determined that the set value is greater than 0 (step S120; Yes), the long-term plan unit 122 subtracts 1 from the set value (step S121), executes the first remaining capacity prediction process (step S112), and performs prediction. It is determined whether or not the value is smaller than 0 (step S122). When it determines with a predicted value being smaller than 0 (step S122; Yes), the long-term plan part 122 adds 1 to a setting value (step S123), and determines a long-term priority to the setting value (step S115).
  • the long-term plan unit 122 determines whether the predicted value is 0 (step S124). If it is determined that the predicted value is not 0 (step S124; No), the long-term plan unit 122 repeatedly executes step S120 to step S123 and step S112. When it determines with a predicted value being 0 (step S124; Yes), the long-term plan part 122 determines a long-term priority to the present setting value (step S115), and returns to the planning process shown in FIG.
  • the correction period setting unit 123 refers to the correction period setting value of the period data 112 to divide the short-term plan period in which the start period comes into correction periods, and period data including specific dates and times of the divided correction periods 112 is stored in the storage unit 111 (step S103).
  • the short-term planning unit 124 executes a short-term planning process for determining a planned value of the remaining capacity of the storage battery of the EV 110 in each correction period (step S104).
  • the short-term planning unit 124 refers to the suppression priority data 114 and performs suppression according to the long-term priority determined in the long-term planning process (step S ⁇ b> 102) illustrated in FIG. 8.
  • the target home appliance 102 is extracted from the suppression priority data 114 (step S141).
  • the short-term plan unit 124 refers to the consumption history data 113 corresponding to the short-term plan period in which the start period arrives, and integrates power consumption other than the home appliances 102 to be suppressed for each time zone. Thus, the total amount of power consumed in the short-term plan period in which the start time comes is predicted (step S142).
  • the short-term planning unit 124 acquires the power generation amount predicted to be generated by the solar power generation system 104 from the power generation amount prediction unit 120 during the short-term planning period when the start time comes (step S143).
  • the short-term planning unit 124 acquires the actual value of the remaining capacity of the storage battery of the EV 110 from the remaining capacity acquisition unit 118 (step S144).
  • the short-term planning unit 124 calculates the sum of the power generation amount acquired in step S133 and the actual value acquired in step S134.
  • the short-term planning unit 124 subtracts, from the sum, each of the total electric energy predicted in step S132 in order from the one corresponding to the short-term planning period in which the final period arrives earlier, so that the EV 110 at the end of each short-term planning period.
  • the predicted value of the remaining capacity of the storage battery is calculated.
  • the short-term planning unit 124 determines the calculated predicted value as a planned value (step S145), and returns to the planning process shown in FIG.
  • the correction unit 125 executes a correction process for correcting the priority of the correction period in which the start time comes according to the actual usage state of the power supplied from the storage battery of the EV 110 (step S105).
  • the correction unit 125 acquires a priority setting value (step S161).
  • This set value may be a value that is held in advance (for example, 0), or may be a value that is set during the autonomous operation.
  • the correction unit 125 acquires, from the short-term planning unit 124, the plan value of the remaining capacity determined in step S145, which corresponds to the correction period in which the final period comes (step S162).
  • the correcting unit 125 acquires the actual value of the remaining capacity from the remaining capacity acquiring unit 118 (step S163).
  • the correction unit 125 determines whether or not the planned value acquired in step S162 is larger than the actual value acquired in step S163 (step S164). When it determines with a plan value not being larger than an actual value (step S164; No), the correction part 125 determines whether a plan value and an actual value are equal (step S165). When it determines with a plan value and a performance value being equal (step S165; Yes), the correction part 125 determines a correction priority to the present setting value (step S166).
  • step S165 If it is determined that the planned value and the actual value are not equal (step S165; No), the correcting unit 125 determines whether or not the set value is greater than 0 (step S167). When it is determined that the set value is not greater than 0 (step S167; No), the correction unit 125 determines the correction priority as the current set value (step S166).
  • step S167 When it is determined that the set value is greater than 0 (step S167; Yes), the correcting unit 125 executes a second remaining capacity prediction process for predicting the remaining capacity of the storage battery of the EV 110 (step S168).
  • the correction unit 125 refers to the suppression priority data 114, and extracts the household electrical appliance 102 having the priority to be suppressed according to the set value (step S181).
  • the correction unit 125 refers to the consumption history data 113 corresponding to the correction period in which the start time comes, and accumulates power consumption other than that of the household electrical appliance 102 that is the target of suppression, thereby being consumed in the correction period in which the start time comes.
  • the total power amount is predicted (step S182).
  • the correction unit 125 acquires, from the power generation amount prediction unit 120, the power generation amount predicted to be generated by the solar power generation system 104 during the correction period in which the start period comes (step S183).
  • the correction unit 125 subtracts the total power amount predicted in step S182 from the sum of the actual value acquired in step S163 (see FIG. 11) and the power generation amount acquired in step S183. Thereby, the correction unit 125 calculates a predicted value of the remaining capacity of the storage battery of the EV 110 at the end of the correction period in which the start period comes (step S184), and returns to the correction process illustrated in FIG.
  • the correcting unit 125 determines whether or not the planned value acquired in step S162 is smaller than the predicted value calculated in step S168 (step S169). When determining that the planned value is not smaller than the predicted value (step S169; No), the correcting unit 125 determines whether the planned value and the predicted value are equal (step S170). When it is determined that the planned value and the predicted value are equal (step S170; Yes), the correction unit 125 determines the correction priority as the current set value (step S166). When it is determined that the plan value and the predicted value are not equal (step S170; No), the correction unit 125 adds 1 to the current setting value (step S171), and determines the correction priority as the current setting value. (Step S166). When determining that the planned value is smaller than the predicted value (step S169; Yes), the correcting unit 125 subtracts 1 from the current set value (step S172), and returns to step S168.
  • step S164 If it is determined that the planned value is greater than the actual value (step S164; Yes), the correcting unit 125 determines whether or not the current set value is equal to the maximum value (step S173). When it is determined that the set value is equal to the maximum value (step S173; Yes), the long-term plan unit 122 notifies the user by displaying on the display unit 127 that the set value is the maximum value (step S174). The correction priority is determined as the current set value (step S166).
  • step S173 When it is determined that the set value is not equal to the maximum value (step S173; No), the long-term plan unit 122 executes the second remaining capacity prediction process (step S168), and the plan value acquired in step S162 is the step. It is determined whether or not the predicted value calculated in S168 is larger (step S175). When it determines with a plan value being larger than a predicted value (step S175; Yes), the correction part 125 adds 1 to a setting value (step S176), and returns to step S173.
  • step S175 If it is determined that the planned value is not larger than the predicted value (step S175; No), the correction unit 125 determines the correction priority as the current set value (step S166), and returns to the planning process shown in FIG.
  • the electric appliance control unit 126 suppresses the operation capability of the household electric appliance 102 according to the correction priority determined in step S166, that is, the electric appliance 102 whose priority value is equal to or lower than the correction priority in the suppression priority data 114. (Step S106).
  • the correction unit 125 continuously acquires the current time from the time measuring unit 119 and refers to the period data 112 to determine whether or not the start of the correction period has arrived (step S107). When the start of the correction period comes (step S107; Yes), step S105 and step S106 are repeatedly executed.
  • step S107 When the start of the correction period does not arrive (step S107; No), the short-term planning unit 124 acquires the current time from the time measuring unit 119 and refers to the period data 112 to determine whether or not the start of the short-term plan period comes. Is determined (step S108). When the start of the short-term plan period comes (step S108; Yes), the processing from step S102 to step S107 is repeatedly executed. If the start of the short-term planning period has not arrived (step S108; No), the end of the self-sustaining operation period has arrived, and the electrical equipment management apparatus 100 ends the planning process.
  • FIG. 13 shows an example of a change in the remaining capacity of the storage battery of EV 110 when the electric device management apparatus 100 according to the present embodiment is operated independently.
  • the self-sustained operation period is 7 days under the condition that the initial remaining capacity of the storage battery is 16 kWh and the upper limit during charging during the self-sustaining operation is 12.8 kWh (80% of the total capacity).
  • the weather during the self-sustaining operation is an example in which the weather changes to clear, clear, clear, cloudy, cloudy, rainy, and rainy.
  • the power consumption is predicted with reference to the power consumption of each home appliance 102 for each time period, thereby determining the priority for identifying the home appliance 102 that suppresses the operation capability. To do. Thereby, it is possible to suppress power consumption while suppressing the operation capability of the home appliance 102 according to the usage tendency of the user's home appliance 102 that changes according to the time zone. Therefore, it becomes possible to suppress deterioration of comfort during independent operation.
  • the home appliance 102 to be suppressed is determined, so that it is possible to suppress the deterioration of comfort due to the suppression of the operation ability.
  • step S102 Whenever the start of the short-term plan period comes, the long-term plan process (step S102) is executed. As a result, even if the remaining capacity of the EV110 storage battery has become less than the planned value because, for example, a sunny day in the long-term weather forecast was actually rainy, the life with the same level of comfort was achieved. Long-term priorities are recalculated as possible. Therefore, it becomes possible to make the comfort of the remaining self-sustaining operation uniform.
  • the correction priority applied to each of the correction periods included in the short-term planning period is determined by correcting the long-term priority. This correction is determined with reference to the plan value of the remaining capacity based on the long-term priority as described above. In this way, the home appliance 102 is controlled according to the correction priority obtained by finely adjusting the long-term priority. Therefore, it becomes possible to suppress the deterioration of comfort due to the suppression of the operation ability.
  • the user may appropriately set the self-sustained switch 108 to a disconnected state and perform a self-sustaining operation. Thereby, reduction of power consumption can be aimed at, suppressing the deterioration of comfort.
  • Embodiment 2 based on the suppression priority data 114 and the correction priority, the operation capability is suppressed without exception for the household electrical appliance 102 that is the target of suppression.
  • the present embodiment based on the suppression priority data 114 and the correction priority, even if the household appliance 102 is a target of suppression, the remaining amount of the storage battery of the EV 110 is compared with the power consumption of the household appliance 102.
  • An example in which the suppression of the operation capability of the household electrical appliance 102 is released when there is room in the capacity will be described.
  • the electrical device management apparatus 200 includes an electrical device control unit 226 that replaces the electrical device control unit 126 of the electrical device management apparatus 100 according to the first embodiment.
  • a release unit 228 is provided.
  • the suppression release unit 228 determines the remaining battery of the EV 110 in the light of the power consumption of the household appliance 102 even if the household appliance 102 is the target of suppression. When the capacity is sufficient, the suppression of the operation capability of the home appliance 102 is released.
  • the suppression release unit 228 selects, from the home appliances 102 that are targets of suppression, in descending order of priority based on the suppression priority data 114 and the correction priority, The following processes (1) to (3) are repeatedly executed until the highest household electric appliance 102 is selected.
  • the suppression release unit 228 predicts the device power consumption that is the amount of power consumed when the selected home appliance 102 is used in the correction period.
  • the suppression cancellation unit 228 includes the predicted device power consumption amount, the total power amount predicted by the correction unit 125, the actual value acquired by the remaining capacity acquisition unit 118 at the beginning of the correction period, and the start time. Based on the power generation amount predicted by the power generation amount prediction unit 120 when power is generated during the correction period, a predicted value of the remaining capacity of the storage battery of the EV 110 at the end of the correction period is calculated.
  • the suppression release unit 228 specifies the selected electrical device as a target for release of suppression when the calculated predicted value does not become smaller than the planned value of the remaining capacity of the storage battery of the EV 110 at the end of the correction period. The device power consumption of the identified home appliance 102 is added to the total power.
  • the remaining capacity of the storage battery of the EV 110 is not reduced below the planned value even if the suppression is canceled among the household electrical appliances 102 to be suppressed based on the suppression priority data 114 and the correction priority. Can be identified.
  • the device power consumption may be predicted by referring to the rated power consumption data 115, for example, to operate at the rated power consumption during the correction period. Further, the device power consumption may be predicted by referring to the consumption history data 113, for example, based on the power consumption when the selected home appliance 102 is used in a time zone corresponding to the correction period.
  • the electrical device control unit 226 suppresses the use of the household electrical appliance 102 that is the target of suppression in the correction period according to the priority determined by the correction unit 125 in the suppression priority data 114, and as a target of suppression cancellation. For the household electric appliance 102 specified by the suppression release unit 228, the suppression of the operation capability during the correction period is canceled.
  • the electric appliance control unit 226 selects the electric home appliance 102 that is specified as the target of the suppression release among the electric home appliances 102 that are the targets of suppression according to the priority determined by the correction unit 125 in the suppression priority data 114. Suppress the use of removed items during the modification period.
  • the correction process replaces the correction process (step S ⁇ b> 105) according to the first embodiment and the process (step S ⁇ b> 106) that suppresses the operation capability of the electrical device.
  • S205 and a process (step S206) for suppressing the operation capability of the electric device are executed.
  • step S205 after the correction unit 125 executes step S166, the suppression release unit 228 sets the value obtained by subtracting 1 from the correction priority determined in step S166 to N. Set (step S291).
  • the suppression cancellation unit 228 executes a third remaining capacity prediction process (step S292) for predicting the remaining capacity of the storage battery of the EV 110.
  • the suppression release unit 228 refers to the suppression priority data 114 to cancel the suppression in step S ⁇ b> 294 among the home appliances 102 to be controlled according to the correction priority.
  • the household appliances 102 specified as the target and the suppression priority data 114 those other than the household appliances 102 whose priority value is N are extracted (step S301).
  • the suppression cancellation unit 228 refers to the consumption history data 113 corresponding to the correction period when the start time comes, and accumulates the power consumption of the home appliances 102 extracted at step S301, thereby consuming the correction period when the start time comes.
  • the total amount of power to be calculated is predicted (step S302).
  • the suppression cancellation unit 228 acquires the power generation amount predicted to be generated by the solar power generation system 104 from the power generation amount prediction unit 120 during the correction period in which the start time comes (step S303).
  • the suppression cancellation unit 228 subtracts the total power amount predicted in step S302 from the sum of the actual value acquired in step S163 (see FIG. 11) and the power generation amount acquired in step S303. Thereby, the suppression release unit 228 calculates a predicted value of the remaining capacity of the storage battery of the EV 110 at the end of the correction period in which the start time comes (step S304), and returns to the correction processing illustrated in FIG.
  • the suppression release unit 228 determines whether or not the planned value acquired in step S162 is smaller than the predicted value calculated in step S292 (step S293). When it determines with a plan value being smaller than a predicted value (step S293; Yes), the household appliances 102 whose priority is N in the suppression priority data 114 are specified as suppression cancellation
  • step S293 If it is determined that the planned value is not smaller than the predicted value (step S293; No), or after step S294, the suppression release unit 228 sets a value obtained by subtracting N from 1 to N (step S295).
  • the suppression release unit 228 determines whether N is 0 (step S296). When it determines with N not being 0 (step S296; No), the suppression cancellation
  • the power consumption is predicted by referring to the power consumption of each home appliance 102 for each time period, thereby suppressing the operation capability. Determine the priority for identification.
  • the home appliance 102 to be suppressed is determined. Therefore, as in the first embodiment, it is possible to suppress deterioration in comfort during independent operation.
  • the EV 110 When the remaining capacity of the storage battery has a margin, the suppression of the operation capability of the home appliance 102 is released. As a result, it is possible to reduce the number of home appliances 102 whose operating ability is limited, and thus it is possible to suppress deterioration in comfort.
  • the present invention may be implemented by a program for causing a computer to realize the functions provided in the electrical equipment management apparatus according to each embodiment.
  • Computers include, for example, CPU (Central Processing Unit), RAM (Random Access Memory), ROM (Read Only Memory), HDD (Hard Disk Drive), SSD (Solid State Drive), keyboard, mouse, liquid crystal display, touch panel, communication interface
  • CPU Central Processing Unit
  • RAM Random Access Memory
  • ROM Read Only Memory
  • HDD Hard Disk Drive
  • SSD Solid State Drive
  • keyboard keyboard
  • mouse liquid crystal display
  • touch panel liquid crystal display
  • communication interface A general-purpose device configured by appropriately combining reading devices or writing devices of various storage media may be used.
  • the program is distributed via a communication line, a storage medium, etc., and is installed in the computer.
  • the present invention can be suitably used for, for example, an electrical equipment management apparatus that manages the operation of electrical equipment during independent operation.

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  • Mechanical Engineering (AREA)
  • Life Sciences & Earth Sciences (AREA)
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Abstract

La présente invention concerne une unité de planification à long terme (122) qui prévoit l'énergie totale qui sera consommée au cours d'une période de planification à long terme en fonction de ladite consommation totale prévue, et qui détermine un plan à long terme pour commander le dispositif électrique pendant la période de planification à long terme. En fonction dudit plan à long terme déterminé par l'unité de planification à long terme (122), une unité de planification à court terme (124) détermine un plan à court terme pour commander le dispositif électrique pendant les périodes de planification à court terme qui constituent des divisions de la période de planification à long terme. Ce dispositif de gestion de dispositif électrique (100) rectifie le plan à long terme et commande le dispositif électrique en fonction du plan à court terme déterminé par l'unité de planification à court terme (124) et la valeur réelle de performance, qui est la véritable capacité restante de la batterie de stockage.
PCT/JP2014/061547 2013-04-26 2014-04-24 Dispositif de gestion de dispositif électrique, système de gestion de dispositif électrique, procédé et programme de gestion de dispositif électrique WO2014175374A1 (fr)

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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016067469A1 (fr) * 2014-10-31 2016-05-06 三菱電機株式会社 Dispositif de gestion d'équipement électrique, procédé de gestion d'équipement électrique, système de gestion d'équipement électrique et programme
CN108803404A (zh) * 2017-04-27 2018-11-13 浙江苏泊尔家电制造有限公司 释放残余电压的电路系统、方法以及烹饪器具
DE112017003022T5 (de) 2016-06-17 2019-03-07 Panasonic Intellectual Property Management Co., Ltd. Verwaltungssystem für elektrische Leistung
CN110268366A (zh) * 2017-02-24 2019-09-20 索尼移动通信株式会社 信息处理装置、信息处理方法和程序
US20210300204A1 (en) * 2020-03-27 2021-09-30 Honda Motor Co., Ltd. Power calculation apparatus and power calculation method
US11342751B2 (en) 2017-12-15 2022-05-24 Panasonic Intellectual Property Management Co., Ltd. Power management system for customer connected to power network and having load apparatus and power storage apparatus
CN116231707A (zh) * 2023-02-10 2023-06-06 广州汇锦能效科技有限公司 一种家用光伏及储能智慧能源系统

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6304008B2 (ja) * 2014-12-09 2018-04-04 株式会社デンソー 電力供給システム
JP2016220450A (ja) * 2015-05-22 2016-12-22 三菱重工業株式会社 電源制御装置、電源システム、電源制御方法およびプログラム
JP6490234B2 (ja) * 2015-11-27 2019-03-27 三菱電機株式会社 情報収集ユニット、情報処理方法およびプログラム
WO2024048876A1 (fr) * 2022-09-01 2024-03-07 삼성전자주식회사 Appareil électronique et son procédé de commande

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009148009A (ja) * 2007-12-11 2009-07-02 Panasonic Electric Works Co Ltd 電力供給システム
JP2011083088A (ja) * 2009-10-05 2011-04-21 Panasonic Electric Works Co Ltd 直流配電システム
WO2011065496A1 (fr) * 2009-11-30 2011-06-03 京セラ株式会社 Appareil de commande, système de commande et procédé de commande

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009148009A (ja) * 2007-12-11 2009-07-02 Panasonic Electric Works Co Ltd 電力供給システム
JP2011083088A (ja) * 2009-10-05 2011-04-21 Panasonic Electric Works Co Ltd 直流配電システム
WO2011065496A1 (fr) * 2009-11-30 2011-06-03 京セラ株式会社 Appareil de commande, système de commande et procédé de commande

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016067469A1 (fr) * 2014-10-31 2016-05-06 三菱電機株式会社 Dispositif de gestion d'équipement électrique, procédé de gestion d'équipement électrique, système de gestion d'équipement électrique et programme
JPWO2016067469A1 (ja) * 2014-10-31 2017-04-27 三菱電機株式会社 管理装置、管理方法、管理システム及びプログラム
DE112017003022T5 (de) 2016-06-17 2019-03-07 Panasonic Intellectual Property Management Co., Ltd. Verwaltungssystem für elektrische Leistung
US11164111B2 (en) 2016-06-17 2021-11-02 Panasonic Intellectual Property Management Co., Ltd. Electric power management system for reducing large and rapid change in power received from electricity delivery system
CN110268366A (zh) * 2017-02-24 2019-09-20 索尼移动通信株式会社 信息处理装置、信息处理方法和程序
US11609621B2 (en) 2017-02-24 2023-03-21 Sony Mobile Communications Inc. Information processing apparatus, information processing method, and program
CN108803404A (zh) * 2017-04-27 2018-11-13 浙江苏泊尔家电制造有限公司 释放残余电压的电路系统、方法以及烹饪器具
US11342751B2 (en) 2017-12-15 2022-05-24 Panasonic Intellectual Property Management Co., Ltd. Power management system for customer connected to power network and having load apparatus and power storage apparatus
US20210300204A1 (en) * 2020-03-27 2021-09-30 Honda Motor Co., Ltd. Power calculation apparatus and power calculation method
US11897361B2 (en) * 2020-03-27 2024-02-13 Honda Motor Co., Ltd. Power calculation apparatus and power calculation method
CN116231707A (zh) * 2023-02-10 2023-06-06 广州汇锦能效科技有限公司 一种家用光伏及储能智慧能源系统
CN116231707B (zh) * 2023-02-10 2024-01-30 广州汇锦能效科技有限公司 一种家用光伏及储能智慧能源系统

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