WO2013021502A1 - Dispositif de commande de demande pour équipement d'installation - Google Patents

Dispositif de commande de demande pour équipement d'installation Download PDF

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Publication number
WO2013021502A1
WO2013021502A1 PCT/JP2011/068380 JP2011068380W WO2013021502A1 WO 2013021502 A1 WO2013021502 A1 WO 2013021502A1 JP 2011068380 W JP2011068380 W JP 2011068380W WO 2013021502 A1 WO2013021502 A1 WO 2013021502A1
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WO
WIPO (PCT)
Prior art keywords
equipment
priority
demand control
power consumption
facility
Prior art date
Application number
PCT/JP2011/068380
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English (en)
Japanese (ja)
Inventor
山下　善臣
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 KR1020137029516A priority Critical patent/KR101515743B1/ko
Priority to JP2013527829A priority patent/JP5578284B2/ja
Priority to PCT/JP2011/068380 priority patent/WO2013021502A1/fr
Priority to CN201180070616.0A priority patent/CN103503263B/zh
Publication of WO2013021502A1 publication Critical patent/WO2013021502A1/fr

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    • 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
    • H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
    • H02J2310/10—The network having a local or delimited stationary reach
    • H02J2310/12—The local stationary network supplying a household or a building
    • H02J2310/14—The load or loads being home appliances
    • 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
    • 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
    • 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
    • Y04S20/242—Home appliances

Definitions

  • This invention relates to a demand control device for equipment.
  • This demand control apparatus performs demand control by appropriately selecting a cyclic command method or a level-specific command method.
  • a demand control instruction is cyclically given to each group.
  • an instruction for demand control is given according to the acceptance level with respect to the peak cut level (see, for example, Patent Document 1).
  • the present invention has been made to solve the above-described problems, and an object of the present invention is to provide a demand control device for equipment that can control equipment in consideration of the comfort of residents. It is.
  • the demand control device for facility equipment includes an operation history storage unit that stores an operation history of each of the plurality of facility devices, and gives priority to each of the plurality of facility devices based on the operation history.
  • FIG. 1 is a block diagram of an entire system controlled by a demand control apparatus for facility equipment according to Embodiment 1 of the present invention.
  • reference numeral 1 denotes a group of equipment for demand control.
  • the equipment group 1 includes an air conditioning equipment group, a lighting equipment group, an electrical equipment group, a crime prevention equipment group, a disaster prevention equipment group, a satellite equipment group, a transport equipment group, and the like.
  • Reference numeral 2 denotes a power meter group.
  • the electric energy meter group 2 is provided corresponding to the facility equipment group 1.
  • the energy meter group 2 has a function of detecting the power consumption of each facility device in the facility device group 1.
  • Reference numeral 3 denotes a sensor group.
  • the sensor group 3 is provided corresponding to the equipment device group 1.
  • the sensor group 3 has a function of detecting the operating state of each facility device in the facility device group 1.
  • the device information database 4 is a device information database.
  • the device information database 4 has a function of storing attribute information of each facility device in the facility device group 1.
  • Reference numeral 5 denotes a sensor group arrangement information database.
  • the sensor group arrangement information database 5 has a function of storing information related to the equipment connected to the electric energy meter group 2 and information related to the arrangement of the sensor group 3.
  • the operation history information storage unit 6 is an operation history information storage unit.
  • the operation history information storage unit 6 has a function of storing information related to the operation history of each facility device in the facility device group 1.
  • Reference numeral 7 denotes a demand control history information storage unit.
  • the demand control history information storage unit 7 has a function of storing information related to the history of each equipment device of the equipment device group 1 that is demand-controlled.
  • Numeral 8 is a demand control target device operation analysis unit.
  • the demand control target device operation analysis unit 8 has a function of analyzing the operation status of each facility device in the facility device group 1.
  • the demand control target device operation analysis unit 8 has a function of normalizing and calculating the priority parameter of each facility device in the facility device group 1 at a predetermined time interval with respect to the predetermined parameter group based on the analysis result or the like.
  • the device-specific priority calculation parameter database 9 has a function of storing the calculation result of the demand control target device operation analysis unit 8.
  • Reference numeral 10 denotes an operating device selection unit.
  • the operating device selection unit 10 has a function of selecting facility devices to be operated at predetermined time intervals based on the contents stored in the priority calculation parameter database 9 for each device.
  • the operating device selection unit 10 has a function of outputting an operation command to the facility device based on the selection result. In other words, the operating device selection unit 10 has a function of switching facility devices that are dynamically operated at predetermined time intervals based on the selection result.
  • FIG. 2 is a diagram for explaining a device information database of the demand control device for facility equipment according to Embodiment 1 of the present invention.
  • the equipment information database 4 stores information on equipment. Specifically, the ID, type, model name, operating characteristic related to the start-up time, and operating characteristic related to power consumption are stored in association with each other. For example, an equipment device whose ID is “1” is an “air conditioning” equipment whose model name is “AC-1”. The startup time of this equipment is “10” minutes. The power consumption of this equipment group 1 is “10” kW.
  • FIGS. 3 and 4 are diagrams for explaining a sensor group arrangement information database of the demand control device for equipment according to Embodiment 1 of the present invention.
  • the sensor group arrangement information database 5 stores information regarding the equipment group 1 to which the power meter group 2 is connected as the power meter information. Specifically, the electric energy meter ID and the ID of the connected equipment are stored in association with each other. For example, FIG. 3 shows that the power meter ID “1” is connected to the equipment device ID “1”.
  • the sensor group arrangement information database 5 stores information related to the arrangement of the sensor group 3 as sensor group arrangement information. Specifically, a sensor ID, a room, an area, and a building are stored in association with each other. For example, FIG. 4 shows that the sensor ID “1” is arranged in the “1” room in the “N” area of the “B” building.
  • FIG. 5 is a diagram for explaining a machine operation history information storage unit of the equipment device demand control apparatus according to Embodiment 1 of the present invention.
  • the operation history information storage unit 6 stores the operation history of each facility device in the facility device group 1 as an operation history database.
  • the ID of the equipment, the operation rate, the accumulated service time, the final activation time, the final stop time, the initial priority, the previous priority, the operation command, the operation state, and the power consumption are stored in association with each other.
  • both the initial priority and the previous priority are “1”.
  • the last activation time of the equipment is “10:00”.
  • the final stop time of the equipment is “09:10” on the next day.
  • the operation command at this time is “cooling: 20 ° C.”.
  • the operation state at this time is “cooling: 23 degrees”.
  • the power consumption at this time is “3” kW.
  • the cumulative service time of the equipment is 120 hours.
  • the operating rate of the equipment is 40%.
  • FIG. 6 is a diagram for explaining a demand control history information storage unit of the demand control apparatus for facility equipment according to Embodiment 1 of the present invention.
  • the demand control history information storage unit 7 stores the time, state determination, and ID of the operated equipment device in association with each other.
  • the state determinations A to C indicate the degree of goodness of the state. Specifically, the smaller the power consumption, the better the state. State determination A shows the best case. State determination B shows the worst case. If the condition is good, the number of equipment to be operated increases. On the other hand, when the state is bad, the number of operating facilities decreases. For example, the state determination at time “10:00” is “A”. At this time, the IDs of the installed equipment devices are “1”, “12”, “33”, “14”, and “25”.
  • FIG. 7 is a block diagram for explaining a demand control target device operation analysis unit of the equipment device demand control apparatus according to Embodiment 1 of the present invention.
  • FIG. 8 is a diagram for explaining a demand control target device operation analysis unit of the equipment device demand control apparatus according to Embodiment 1 of the present invention.
  • the demand control target device operation analysis unit 8 includes a power consumption measurement unit 8a, a control target state measurement unit 8b, and a priority parameter calculation unit 8c.
  • the power consumption measuring unit 8 a has a function of detecting the power consumption of each facility device in the facility device group 1 based on the detection result of the energy meter group 2 and the information in the sensor group arrangement information database 5.
  • the control target state measurement unit 8b has a function of detecting the operation state of each facility device in the facility device group 1 based on the detection result of the sensor group 3 and the information in the sensor group arrangement information database 5.
  • the priority parameter calculation unit 8c is based on information from the device information database 4, the operation history information storage unit 6, the demand control history information storage unit 7, the power consumption measurement unit 8a, and the control target state measurement unit 8b.
  • a function for calculating a priority parameter for determining the operating priority of all the equipments of group 1 is provided.
  • the parameter group for priority calculation includes operation rate, cumulative service time, influence on electric energy, response time, priority (initial setting value), priority (previous calculation value), control It consists of the usage status of the target space, operating efficiency, error from the command value, and external environment.
  • the operating rate is the rate at which the equipment provided the service.
  • the priority of equipment with high availability is low.
  • the priority of equipment with a low operation rate is high.
  • Cumulative service time is the cumulative time that the clause device has provided services. The priority of equipment with a long cumulative service time is low.
  • the effect on the amount of power is the relationship between the amount of power that can be used at a certain point in time and the amount of power consumed by equipment.
  • the amount of remaining power is greatly reduced when the equipment is used, the priority of the equipment is lowered.
  • Response time is the response time of equipment to the start and stop control commands. If the command is invalid in relation to the demand control period, such as the facility device cannot be started within the demand period even if the activation command is sent, the priority of the facility device is lowered.
  • Priority is a static priority of equipment. This priority is a fixed value.
  • the priority previously calculated value
  • This priority is the latest priority.
  • the usage status of the control target space is the usage status of the space near the equipment.
  • the priority of the equipment is high.
  • the priority of the equipment is low.
  • “Operating efficiency” refers to a summary of power consumption during operation from the viewpoint of effectiveness. For example, in the case of air conditioning, the relationship of temperature to power consumption is arranged from the viewpoint of effect. In the case of illumination, the relationship of illuminance to power consumption is arranged from the viewpoint of effect. The priority of equipment with high effect is high. On the other hand, the priority of the said equipment with a low effect becomes low.
  • the error from the command value is the deviation from the control target.
  • the difference between the measured temperature and the set temperature and the difference between the measured humidity and the set humidity are set as the divergence status.
  • the difference between the measured illuminance and the set illuminance is regarded as a divergence situation.
  • the priority of equipment that is highly effective in reducing errors is higher.
  • the priority of equipment that is less effective in reducing errors is lower.
  • the external environment is the latest status of the external environment in the vicinity of equipment such as outside air temperature, outside air humidity, outside light, and wind.
  • the priority of nearby equipment that has become an external environment in which the equipment is not required or cannot be operated becomes low.
  • FIG. 9 is a block diagram for explaining a priority calculation parameter database for each device of the demand control apparatus for facility equipment according to Embodiment 1 of the present invention.
  • the priority parameter of each parameter group is stored for each facility device in the priority calculation parameter database 9 for each device.
  • the priority regarding the operation rate is “1”.
  • the priority regarding the accumulated service time is “1”.
  • the priority regarding the influence on the electric energy is “2”.
  • the priority regarding the influence on the electric energy is “2”.
  • the priority regarding the response time is “5”.
  • the priority for the initial priority is “1”.
  • the priority related to the previous priority is “4”.
  • the priority regarding the use of the target space is “5”.
  • the priority for operating efficiency is “5”.
  • the priority regarding the error from the command value is “3”.
  • the priority for the external environment is “5”.
  • FIG. 10 is a block diagram for illustrating a movable device selection unit of the demand control device for facility equipment according to Embodiment 1 of the present invention.
  • FIG. 11 is a diagram for explaining a priority correspondence table generated by the movable device selection unit of the demand control apparatus for facility equipment according to Embodiment 1 of the present invention.
  • FIG. 12 is a diagram for explaining a priority / power consumption correspondence table generated by the movable device selection unit of the demand control apparatus for facility equipment according to Embodiment 1 of the present invention.
  • the operating device selection unit 10 includes an operation stage determination unit 10a, a priority weight calculation unit 10b, a priority calculation unit for each device 10c, a priority distribution calculation unit 10d, an expected power consumption calculation unit 10e, an operation A device operation command generation unit 10f is provided.
  • the operation stage determination unit 10a has a function of determining an operation stage of demand control.
  • the priority weight calculation unit 10b has a function of calculating priority weights for calculating the overall priority.
  • the device-specific priority calculation unit 10c is configured to comprehensively calculate each facility device of the facility device group 1 based on the information in the device-specific priority calculation parameter database 9 and the priority calculation weight calculated by the priority weight calculation unit 10b. Has a function to calculate priority.
  • the priority distribution calculation unit 10d has a function of calculating a priority distribution based on the calculation result of the device-specific priority calculation unit 10c and generating a priority correspondence table.
  • the predicted power consumption calculation unit 10e calculates the predicted power consumption in order of priority based on the calculation result of the priority distribution calculation unit 10d and the attribute information of the equipment group 1 stored in the device information database 4. -A function for generating a power consumption correspondence table is provided.
  • the operating device operation command generation unit 10f has a function of selecting each facility device in the facility device group 1 to be operated based on the calculation result of the predicted power consumption calculation unit 10e and generating an operation command.
  • the overall priority is associated with the ID of the corresponding equipment. For example, when the overall priority is “1”, the equipment device IDs are “1” and “12”.
  • the expected power consumption when the equipment is operated in the order of the overall priority is calculated. For example, when only the equipment with the overall priority “1” operates, the total predicted power consumption is calculated as 70% of the preset allowable power. Furthermore, when the equipment with the overall priority “2” is operated, the total expected power consumption is calculated as 75% of the allowable power. In FIG. 12, when the equipment with the overall priority “5” is operated, the total expected power consumption reaches 100% of the allowable power.
  • FIG. 13 is a diagram for explaining a control policy of the demand control apparatus for facility equipment according to Embodiment 1 of the present invention.
  • the control policy of this embodiment is divided into a plurality of stages according to the elapsed time. For example, in FIG. 13, the control policy is divided into a first stage to a third stage. In the first stage, the operation of equipment is prioritized over power consumption. In the second stage, power consumption and operation of equipment are treated equally. In the third stage, power consumption is prioritized over the operation of equipment.
  • FIG. 14 is a flowchart for explaining the operation of the demand control apparatus for facility equipment according to Embodiment 1 of the present invention.
  • step S1 the operation history information storage unit 6, the demand control history information storage unit 7 and the like are initialized. Then, it progresses to step S2 and the operation
  • the priority weight calculation unit 10b places a heavy weight on the error from the command value of the priority parameter, the operation rate, and the accumulated service time.
  • the priority weight calculating unit 10b handles all parameters with equal weights.
  • the priority weight calculation unit 10b places a heavy weight on the influence on the electric energy and the operation efficiency.
  • step S3 the device priority calculation unit 10c performs a weighted addition process on the initial value of the device priority calculation parameter database 9 to calculate the overall priority of each facility device.
  • the device priority calculation unit 10c gives priority to comfort and calculates the overall priority of each facility device.
  • the priority calculation unit for each device 10c calculates the overall priority of each facility device in consideration of the comfort and the total power consumption.
  • the priority calculation unit for each device 10c gives priority to the total power consumption and calculates the total priority of each facility device.
  • step S4 the priority distribution calculation unit 10d creates a priority distribution based on the output of the device-specific priority calculation unit 10c.
  • the predicted power consumption calculation unit 10 e calculates the predicted power consumption for each priority based on the priority distribution and the attribute information of the equipment in the device information database 4. Specifically, the sum of power consumption from the highest level (level 1) to the level is calculated as a ratio of the allowable power in demand control.
  • step S5 the operating equipment operation command generation unit 10f determines to what priority the equipment is to be operated based on the predicted power consumption by priority. Thereafter, the operating device operation command generation unit 10f generates an operation command for the device to be operated.
  • the operation command for air conditioning includes an operation mode and a set temperature. As the operation mode, cooling or the like is set. As the set temperature, 20 ° C. or the like is set. Thereafter, the operating device operation command generation unit 10f outputs an operation command to the device to be operated. At this time, information related to the operation command is stored in the operation history information storage unit 6.
  • step S6 the demand control target device operation analysis unit 8 analyzes the operation status of the facility device that has received the operation command.
  • the demand control target device operation analysis unit 8 collects information from the electric energy meter group 2 and the sensor group 3.
  • step S7 the power consumption measuring unit 8a obtains the power consumption of each facility device from the information on the power meter group 2 and the power meter information in the sensor group arrangement information database 5.
  • the control target state measurement unit 8b obtains the state (temperature, illuminance, etc.) in the control target from the information of the sensor group 3 and the sensor group arrangement information in the sensor group arrangement information database 5.
  • step S8 the priority parameter calculation unit 8c outputs the control target state measurement unit 8b, the output of the power consumption measurement unit 8a, the operation history information storage unit 6, and the information stored in the demand control history information storage unit 7.
  • a parameter group for priority calculation is obtained according to a predetermined priority update policy. These parameters are normalized in five stages as shown in FIG. Then, it returns to step S2 and the said operation
  • the priority of the equipment to be operated is calculated based on the operation history of the equipment. For this reason, it is possible to dynamically control the equipment in consideration of both allowable power and occupant comfort.
  • the weighting between the operation history of equipment and power consumption is changed according to time. Specifically, as the cumulative value of the power consumption of the facility device increases, the power consumption weighting in calculating the priority increases so that the priority of the device with low power consumption increases. For this reason, equipment can be controlled according to the actual situation.
  • the demand control device for equipment can be used for a system for controlling equipment in consideration of the comfort of residents.

Abstract

L'invention porte sur un système de commande de demande pour un équipement d'installation, lequel système est apte à commander un équipement d'installation tout en prenant en considération le confort d'un résident. Pour ce faire, il est procuré ce qui suit : une unité de stockage d'historique de fonctionnement qui stocke les historiques de fonctionnement de chacun des équipements d'installation d'une pluralité d'équipements d'installation, une unité de calcul de priorité qui calcule une priorité pour chacun desdits équipements d'installation sur la base des historiques de fonctionnement des équipements d'installation, et une unité de sélection qui sélectionne un équipement d'installation ayant une priorité élevée en tant qu'équipement d'installation devant fonctionner, de telle manière que la puissance consommée totale de l'équipement d'installation en fonctionnement ne dépasse pas une valeur prédéterminée.
PCT/JP2011/068380 2011-08-11 2011-08-11 Dispositif de commande de demande pour équipement d'installation WO2013021502A1 (fr)

Priority Applications (4)

Application Number Priority Date Filing Date Title
KR1020137029516A KR101515743B1 (ko) 2011-08-11 2011-08-11 설비기기의 디맨드 제어 장치
JP2013527829A JP5578284B2 (ja) 2011-08-11 2011-08-11 設備機器のデマンド制御装置
PCT/JP2011/068380 WO2013021502A1 (fr) 2011-08-11 2011-08-11 Dispositif de commande de demande pour équipement d'installation
CN201180070616.0A CN103503263B (zh) 2011-08-11 2011-08-11 机器设备的需求控制装置

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2011/068380 WO2013021502A1 (fr) 2011-08-11 2011-08-11 Dispositif de commande de demande pour équipement d'installation

Publications (1)

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WO2013021502A1 true WO2013021502A1 (fr) 2013-02-14

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JP (1) JP5578284B2 (fr)
KR (1) KR101515743B1 (fr)
CN (1) CN103503263B (fr)
WO (1) WO2013021502A1 (fr)

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2014018045A (ja) * 2012-07-11 2014-01-30 Kyocera Corp サーバ装置
JP2014183717A (ja) * 2013-03-21 2014-09-29 Denso Corp 電力供給システム
WO2014196199A1 (fr) * 2013-06-04 2014-12-11 京セラ株式会社 Procédé de gestion d'énergie et dispositif de gestion d'énergie
WO2015159410A1 (fr) * 2014-04-17 2015-10-22 三菱電機株式会社 Système de commande de dispositifs, appareil de commande de dispositifs, dispositif, procédé de commande de dispositifs, et programme
WO2020003684A1 (fr) * 2018-06-28 2020-01-02 三菱電機株式会社 Programme et dispositif de régulation de demande
JPWO2020194010A1 (fr) * 2019-03-22 2020-10-01
US11843271B2 (en) 2019-03-22 2023-12-12 Nissan Motor Co., Ltd. Power reception control method for power storage element and power reception control device

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3101617B1 (fr) * 2014-01-28 2020-07-15 Patched Conics, LLC. Système et procédé de régulation de puissance, et système et procédé de commande d'aptitude à la communication d'informations
JP6229594B2 (ja) * 2014-05-29 2017-11-15 三菱電機株式会社 デマンド制御装置
JP6718427B2 (ja) * 2017-12-01 2020-07-08 株式会社Ｓｕｂａｒｕ 車両の制御装置及び車両の制御方法

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH11215700A (ja) * 1998-01-27 1999-08-06 Mitsubishi Electric Corp デマンドコントロール方法および装置
JP2009144950A (ja) * 2007-12-12 2009-07-02 Hitachi Appliances Inc 空気調和機

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002051462A (ja) * 1998-12-08 2002-02-15 Tetsuo Toshima 電力の供給側と需要側の諸特性を随時に調整し、そのシステムの効用を最大にする電力利用方式
JP4363244B2 (ja) 2003-10-30 2009-11-11 株式会社日立製作所 エネルギー管理装置
KR101368456B1 (ko) * 2007-11-22 2014-02-28 엘지전자 주식회사 전기기기 시스템의 디맨드 제어장치
KR100953403B1 (ko) * 2008-08-06 2010-04-19 중앙대학교 산학협력단 실시간 지능 자율 부하관리 장치 및 방법
JP5255462B2 (ja) * 2009-01-13 2013-08-07 株式会社日立製作所 電力需給運用管理サーバ、および電力需給運用管理システム
JP2011142753A (ja) 2010-01-07 2011-07-21 Panasonic Corp 家電機器制御装置及び家電機器制御システム

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH11215700A (ja) * 1998-01-27 1999-08-06 Mitsubishi Electric Corp デマンドコントロール方法および装置
JP2009144950A (ja) * 2007-12-12 2009-07-02 Hitachi Appliances Inc 空気調和機

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2014018045A (ja) * 2012-07-11 2014-01-30 Kyocera Corp サーバ装置
JP2014183717A (ja) * 2013-03-21 2014-09-29 Denso Corp 電力供給システム
WO2014196199A1 (fr) * 2013-06-04 2014-12-11 京セラ株式会社 Procédé de gestion d'énergie et dispositif de gestion d'énergie
JP2014236631A (ja) * 2013-06-04 2014-12-15 京セラ株式会社 提示方法、電力管理装置、および提示プログラム
WO2015159410A1 (fr) * 2014-04-17 2015-10-22 三菱電機株式会社 Système de commande de dispositifs, appareil de commande de dispositifs, dispositif, procédé de commande de dispositifs, et programme
JP2020005408A (ja) * 2018-06-28 2020-01-09 三菱電機ビルテクノサービス株式会社 デマンド制御装置及びプログラム
WO2020003684A1 (fr) * 2018-06-28 2020-01-02 三菱電機株式会社 Programme et dispositif de régulation de demande
JP6991106B2 (ja) 2018-06-28 2022-01-12 三菱電機ビルテクノサービス株式会社 デマンド制御装置及びプログラム
JPWO2020194010A1 (fr) * 2019-03-22 2020-10-01
WO2020194010A1 (fr) * 2019-03-22 2020-10-01 日産自動車株式会社 Procédé de commande de réception d'énergie d'éléments de réception d'énergie, et dispositif de commande de réception d'énergie
US11390186B2 (en) 2019-03-22 2022-07-19 Nissan Motor Co., Ltd. Power reception control method for power reception element and power reception control device
JP7213335B2 (ja) 2019-03-22 2023-01-26 日産自動車株式会社 受電要素の受電制御方法、及び受電制御装置
US11843271B2 (en) 2019-03-22 2023-12-12 Nissan Motor Co., Ltd. Power reception control method for power storage element and power reception control device

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CN103503263A (zh) 2014-01-08
JP5578284B2 (ja) 2014-08-27

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