WO2019064905A1 - Demand control device and method - Google Patents

Demand control device and method Download PDF

Info

Publication number
WO2019064905A1
WO2019064905A1 PCT/JP2018/028791 JP2018028791W WO2019064905A1 WO 2019064905 A1 WO2019064905 A1 WO 2019064905A1 JP 2018028791 W JP2018028791 W JP 2018028791W WO 2019064905 A1 WO2019064905 A1 WO 2019064905A1
Authority
WO
WIPO (PCT)
Prior art keywords
request
demand
power
demand control
control device
Prior art date
Application number
PCT/JP2018/028791
Other languages
French (fr)
Japanese (ja)
Inventor
正剛 今林
亮介 中村
広考 高橋
正俊 熊谷
Original Assignee
株式会社日立製作所
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 株式会社日立製作所 filed Critical 株式会社日立製作所
Publication of WO2019064905A1 publication Critical patent/WO2019064905A1/en

Links

Images

Classifications

    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply
    • 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
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
    • H02J2310/50—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
    • H02J2310/56—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
    • H02J2310/58—The condition being electrical
    • H02J2310/60—Limiting power consumption in the network or in one section of the network, e.g. load shedding or peak shaving
    • 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
    • H02J2310/50—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
    • H02J2310/56—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
    • H02J2310/62—The condition being non-electrical, e.g. temperature
    • H02J2310/64—The condition being economic, e.g. tariff based load management
    • 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
    • Y04S50/00—Market activities related to the operation of systems integrating technologies related to power network operation or related to communication or information technologies
    • Y04S50/10—Energy trading, including energy flowing from end-user application to grid

Definitions

  • the present invention relates to demand control devices and methods.
  • energy saving The need for energy saving (hereinafter referred to as energy saving) is increasing in various facilities in a city due to the recent energy shortage and limitation, cost cutting for management, and the like.
  • demand response technology is considered in which the facility manager requests power adjustment such as power reduction or utilization to the personnel in the facility.
  • the decision on the response to the demand response is left to the decision of the person who has received the request for the power adjustment.
  • Personnel make a comprehensive judgment on their own interests, characteristics, and whether they can act according to the external environment and judge the response to the request. Therefore, there is a problem that some personnel give priority to their own convenience and do not respond even if they receive a power adjustment request.
  • Patent Document 1 analyzes personal characteristics from the interest of personnel, finds the user's action possibility from the number of times of facility use in the past, and recommended license information, and extracts action with high possibility of execution We are developing technology to improve response rates by recommending them.
  • Patent Document 2 the behavior characteristic of each customer is analyzed from the power consumption data of each customer and the determination rule, the demand adjustment request command suitable for the behavior characteristic is created, and the response rate of each customer is increased.
  • Patent Document 2 does not take into consideration whether or not the behavior due to the external environment is taken into consideration, and has a problem that it can not cope with changes in personnel composition because it positions the tendency in the entire facility as a character.
  • the present invention relates to a demand control device which makes a demand for power demand adjustment to a power demander, wherein the power demand based on the power consumption behavior of the power demander and the response history to the demand
  • the response rate to the power adjustment request is increased, and the power demand control effect in the facility is improved.
  • FIG. 1 shows an example of the overall device configuration of the present system.
  • the structural example of a demand control apparatus is shown.
  • An example of processing function composition of a demand control device is shown.
  • 7 shows data accumulated in the result accumulation unit DB 100.
  • the contents of processing of the result accumulation creation unit 0300 are shown.
  • the processing content of the request determination unit 0200 is shown.
  • the example of a display screen structure of the content of a request is shown.
  • FIG. 1 shows the device configuration of this system.
  • This system is composed of the equipment in building 000.
  • the component devices there are devices (for example, 020 camera, 010 smart meter, 030 IoT device) used for grasping the behavior of a power demander (hereinafter referred to as an individual). All of the devices from 010 to 030 are not necessary, and some may be present. Here, it is assumed that all of the devices of 010 to 030 are present.
  • Other devices include a server 060 and devices (smartphone 040, PC 050, etc.) for displaying a demand adjustment request to an individual in the building. All 040 to 050 are not necessary, as long as the demand adjustment request can be displayed to individuals in the building. In this case, it is assumed that the request is displayed on the smartphone 040 and the PC 050.
  • server 060 receives measurement data from camera 020, smart bean 010, IoT device 030 and calculates the demand adjustment request method, it sends the calculated demand adjustment method to display devices such as smartphone 040 and PC 050. And notify individuals.
  • the demand control device of the present invention is a system program incorporated in the server 060.
  • the demand control device will be described below.
  • FIG. 2 is a diagram showing a configuration example of a demand control apparatus according to an embodiment of the present invention.
  • the demand control device is constituted by a computer system, and a display device 11, input means 12 such as a keyboard or a mouse, a computer CPU, communication means 14, random access memory RAM, and various databases are connected to a bus line 30.
  • the computer CPU executes a calculation program to instruct image data to be displayed, search data in various databases, and the like.
  • the random access memory RAM is a memory for temporarily storing various data. Based on these data, the computer CPU generates necessary image data and displays it on the display device 11 (for example, a display screen).
  • the demand adjustment content determination program PR is stored in the program database DB1. These programs are read by the computer CPU as needed and calculations are performed.
  • the processing function configuration of the demand control device of the present invention will be described using FIG.
  • the demand device control device is currently operated by the action grasping unit 0010, the request determination unit 0200, the request response determination unit 0400, the sensitivity calculation unit 0300, the request pattern input unit 0500, the results storage unit DB100, the weather data D001, electricity It consists of charge data D002 and tightness data D003.
  • the functions of these blocks will be described below.
  • the weather data D001, the electricity rate data D002, and the tightness of supply and demand data D003 are weather data, electricity rate data, and tightness of supply and demand data when the request is issued. These may not be databases, but may be data obtained online via the Internet.
  • the request pattern input unit 0500 is a portion where the manager of the building inputs the request content of the demand adjustment. Details of the contents of the request will be described in the result accumulation unit DB 100.
  • the current action grasping unit 0100 is a function of grasping the device used by the individual and the current action of the individual from the data of the camera, the data of the soybean, and the data of the IoT device.
  • the current behavior of the individual using camera data is grasped by image processing. Since the data of the IoT device can be used to understand the device that is operating, it can be understood that the user of the device takes a power consumption behavior. From the data of Smame, it is possible to estimate the operation state of the device by using Non-Patent Document 1, so it can be understood that the user of the device being used takes power consumption behavior.
  • the request / response determination unit 0400 is a function to determine whether the individual has responded to the demand adjustment request.
  • the request / response determining unit 0400 also uses the measurement data of the camera 020, the smart phone 010, and the IoT device 030, similarly to the current action determining unit 0100, and determines whether the individual follows the request after the request.
  • the determination method is the same as that of the action grasping unit 0100 at present, and hence the description is omitted.
  • FIG. 4 shows data stored in the DB 100.
  • Individuals under the conditions of the current behavior DB 102, weather DB 103, electricity rate DB 104, and tightness of supply and demand DB 105, which are individual conditions, response sensitivity DB 106 to request content DB 101, total command A frequency DB 107 and a response frequency DB 108 are stored.
  • DB 100 is created for each individual in the building.
  • the DB 100 is updated each time the demand adjustment device issues a demand adjustment request to an individual.
  • the request content DB 101 is input by the operator of the building by the request pattern input unit 0500.
  • the request content DB 101 is the request content for the individual.
  • the result accumulation creation unit 0300 will be described with reference to FIG.
  • the result accumulation creation unit 0300 is a function of creating the DB 100.
  • FIG. 5 is a flow of the result accumulation creation unit 0300.
  • the result accumulation creation unit advances the processing in the order of the corresponding request frequency update S0301, the presence / absence of response to the individual request S0302, the corresponding response frequency update S0303, the response rate calculation S0304, and the data storage S305.
  • the corresponding request frequency update S0301 updates the corresponding total request frequency DB 107 of the result accumulation unit DB 100.
  • the corresponding total number of requests is the total request number DB 107 of the request content DB 101 for requests issued to the individual, which matches the current behavior DB 102, weather DB 103, electricity rate DB 104, and tightness of demand / supply DB 105, which is the individual's situation. For example, when a request for “10% off when using a cafeteria at ⁇ time” is issued, the current action of the individual is PC work, the weather is fine, the electricity rate is 100 to 110 yen, and the tightness of supply and demand is 80%.
  • the cell to be updated is the top cell of the column of the DB 107 in FIG. 5, the value before updating is 50, and the value after updating is 51.
  • the current action of the individual can use the determination result of the current action grasp 0100 shown in FIG.
  • the weather, the electricity rate, and the tightness of supply and demand can be determined from D001 to D003 in FIG.
  • S0302 determines whether the individual has responded to the request issued by the demand control device. It is determined by the request / response determining unit 0400 described in FIG. 3 whether the individual has responded. The presence / absence of response to the individual request S0302 is determined using the result of the request / response determination unit 0400.
  • the corresponding response number update S 0303 updates the corresponding response number SB 108 of the result accumulation unit DB 100 when it is determined that the individual has responded to the demand adjustment in the presence or absence of the response to the individual request S 0302.
  • the corresponding number of responses is the number of responses DB 108 of the request content DB 101 of the request issued to the individual, which matches the current behavior DB 102, weather DB 103, electricity rate DB 104, and tightness of demand / supply DB 105, which is the individual's situation.
  • the cell to be updated is the top cell of the column of DB 108 in FIG. 5, the value before updating is 45, and the value after updating is 46.
  • Response rate calculation S0304 is for calculating the rate at which an individual responds to a demand adjustment request. The equation is shown in equation (1).
  • the data storage unit S0305 stores the calculated response rate Pr in the corresponding response rate DB 106.
  • the corresponding response rate corresponds to the current situation DB 102, weather DB 103, electricity rate DB 104, and tightness of demand DB 105, which is the individual's situation, response to the request content DB 101 for the request issued to the individual It is frequency DB108.
  • the request determination unit 0200 is a function of determining a request issued to an individual. This request is determined as a request to send the request with the highest response rate to each request content in the condition of the current behavior DB 102, weather DB 103, electricity rate DB 104, and supply and demand tightness DB 105, which is the individual's situation. Do.
  • the request contents for each individual determined by the request determination unit 0200 are transmitted to the individual by displaying them on the request display unit such as the smartphone 040 or the PC 050.
  • the request display unit such as the smartphone 040 or the PC 050.
  • An example of the screen configuration of the request content to be displayed is shown in FIG.
  • the display content for example, “reason for requesting a request”, “content of request”, “privilege when responding to a request”, “loss upon failure of demand adjustment” are displayed.
  • the request determination unit 0200 of another form is a function of determining a request to be issued to an individual from a demand reduction amount, an incentive fee at the time of request response, a target demand adjustment target, and a penalty fee at the time the target demand adjustment amount is not reached.
  • the process of the request determination unit 0200 will be described using FIG. FIG. 6 is a process flow of the request determination unit 0200.
  • the processing flow of the request determination unit 0200 includes demand adjustment necessity determination S0204, adjustment target amount calculation S0205, incentive fee calculation S0201 for each request, demand adjustment amount expected value calculation S0202 for each request, and request combination optimization calculation It has S0203.
  • Demand adjustment necessity determination S0204 is a function to determine the necessity of demand adjustment. The determination of necessity is made based on, for example, whether the amount of purchased electricity exceeds a contract.
  • the adjustment target calculation S 0205 is a function of determining a target TDC of the total amount of demand adjustment of the building.
  • the calculation of target TDC is calculated by the following equation.
  • the incentive charge calculation S0201 for each request and the demand adjustment amount expected value calculation S0202 for each request are processed with respect to the demand accumulation unit DB 100 linked to all the individuals in the building.
  • Incentive charge calculation for each request S0201 is a function of calculating the charge CI necessary for the incentive to be given at the time of request response of an individual for the entire contents in the individual request content DB 101 of the demand storage unit DB 100. For example, when the contents of the request are "[Caution to use cafeteria, charge 100 yen discount]" in the result accumulation unit DB 100, the charge necessary for the incentive is 100 yen. Also, for example, when the request content is “present in the room where the air conditioning temperature was lowered at xxx times”, the drink charge and the transportation cost are calculated and calculated as the charge CI necessary for the incentive.
  • Demand adjustment amount expected value calculation S0202 for each request is a function of calculating a demand adjustment amount expected at the time of request response of an individual for all contents in the individual request content DB 101 of the demand storage unit DB 100. For example, when the content of the request is "a drink present in the room where the air conditioning temperature was lowered at the time of xx", the power consumption change amount when the air conditioning temperature is lowered is calculated. Also, for example, when the request content is “ ⁇ 100 discount when using the cafeteria at the time of ⁇ ”, the power consumption of the individual by turning off the power of the device used so far by using the cafeteria The demand adjustment amount DC is calculated by adding the change and the change in the power consumption of the cafeteria.
  • the request combination optimization calculation S 0203 is a function of determining a request issued to each individual.
  • the request combination optimization calculation S 0203 aims to minimize the expected value PCI of the incentive to pay the objective function for all requests, and the expected value PDC for the total demand adjustment amount adjusted for all requests is the adjustment target amount TDC. It is an optimization calculation that is constrained to be smaller.
  • PCI and PDC are calculated by the following formula.
  • a demand adjustment request with a high response rate can be presented to the individual, and the total demand adjustment in the building can easily reach the target amount.

Abstract

An objective of the present invention is to raise response rates with regard to electricity adjustment demands made of electricity consumers, and to improve electricity demand control effects. To solve the problem, the present invention provides a demand control device for making requests of electricity consumers for electricity demand adjustments. Said device is characterized by comprising a computation unit for determining the content of electricity demand adjustment requests made of the electricity consumers, on the basis of electricity consumption activities performed by the electricity consumers and a history of responses to the requests, and in that the computation unit compares the content of a plurality of the requests and determines the content of the requests to be made of the electricity consumers to be the request content receiving high response rates on the part of the electricity consumers to each of the requests.

Description

需要制御装置および方法Demand control device and method
　本発明は，需要制御装置および方法に関する。 The present invention relates to demand control devices and methods.
　近年のエネルギー不足および制限、経営のためのコストカット等から、都市の中の様々な施設において省エネルギー化（以下、省エネと記載する）の必要性が高まっている。 The need for energy saving (hereinafter referred to as energy saving) is increasing in various facilities in a city due to the recent energy shortage and limitation, cost cutting for management, and the like.
　そのため，施設の管理者は施設内の人員に対して、電力削減または利用などの電力調整要請をするデマンドレスポンス技術が考えられている。デマンドレスポンスへの応答の判断は、電力調整の要請を受けた人員の判断に委ねられる。人員は自身の興味、性格、外的環境による行動可否を総合的に判断し、要請への応答を判断する。そのため、人員によっては自身の利便性を優先し、電力調整要請を受けても応答しない課題がある。 For this reason, demand response technology is considered in which the facility manager requests power adjustment such as power reduction or utilization to the personnel in the facility. The decision on the response to the demand response is left to the decision of the person who has received the request for the power adjustment. Personnel make a comprehensive judgment on their own interests, characteristics, and whether they can act according to the external environment and judge the response to the request. Therefore, there is a problem that some personnel give priority to their own convenience and do not respond even if they receive a power adjustment request.
　このような課題に対して、特許文献１では、人員の興味から個人特性を解析し、過去の設備利用回数、推奨許諾情報から利用者の行動可能性を求め、実行可能性の高い行動を抽出して推薦することで、応答率を高める技術を開発している。 With respect to such problems, Patent Document 1 analyzes personal characteristics from the interest of personnel, finds the user's action possibility from the number of times of facility use in the past, and recommended license information, and extracts action with high possibility of execution We are developing technology to improve response rates by recommending them.
　また、特許文献２では、各需要家の電力消費データと判定ルールとから各需要家の行動特性を解析して行動特性に適した需要調整要請指令を作成し、各需要家の応答率を高める技術を開発している。 Further, in Patent Document 2, the behavior characteristic of each customer is analyzed from the power consumption data of each customer and the determination rule, the demand adjustment request command suitable for the behavior characteristic is created, and the response rate of each customer is increased. We are developing technology.
　一方で、現在スマートメータ（以下、スマメと記載する）やＩｏＴ機器、カメラを利用した機器動作把握や個人の行動把握ができるようになりつつある。これらの技術を使うことで、現在の個人をとりまく状況をより詳細に把握し、より高い頻度で要請に応答する技術が必要である。 On the other hand, now it is becoming possible to grasp the operation of devices using smart meters (hereinafter referred to as "scamber"), IoT devices, devices using cameras, and the behavior of individuals. Using these technologies, we need a technology that can better understand the current situation surrounding individuals and respond to requests more frequently.
ＷＯ２０１４／０３０３４９WO 2014/030349 特開２０１３－９０３８９JP 2013-90389
　特許文献１に記載の方式は、性格や外的環境による行動可否が考慮されておらず、応答性が上がらない課題がある。 In the method described in Patent Document 1, there is a problem that responsiveness is not improved because the action and the action depending on the character and the external environment are not considered.
　特許文献２に記載の方式は、外的環境による行動可否が考慮されておらず、また、施設内全体での傾向を性格と位置づけるため、人員構成の変化に対処できない課題がある。 The method described in Patent Document 2 does not take into consideration whether or not the behavior due to the external environment is taken into consideration, and has a problem that it can not cope with changes in personnel composition because it positions the tendency in the entire facility as a character.
　従って、電力需要制御効果を向上させるために、電力需要者の電力調整要請への応答率を上げることが課題である。 Therefore, in order to improve the power demand control effect, it is an issue to increase the response rate to the power adjustment request of the power demander.
　上記課題を解決するために本発明は、電力需要者に対して電力需要調整の要請を行う需要制御装置において、前記電力需要者の電力消費行動および前記要請に対する応答履歴に基づいて、前記電力需要者に対する電力需要調整の要請内容を決定する計算部を備え、前記計算部は、複数の前記要請内容を比較し、各要請に対する電力需要者の応答率が高い要請内容を、前記電力需要者に行う要請内容と決定することを特徴とする。 In order to solve the above-mentioned problems, the present invention relates to a demand control device which makes a demand for power demand adjustment to a power demander, wherein the power demand based on the power consumption behavior of the power demander and the response history to the demand The calculation unit for determining the request content of the power demand adjustment to the user, the calculation unit compares a plurality of the request contents, and sends the request content having a high response rate of the power demander to each request to the power demander. It is characterized by deciding the contents of the request to be made.
　本発明によれば，電力調整要請への応答率を上げ、施設内の電力需要制御効果が向上する。 According to the present invention, the response rate to the power adjustment request is increased, and the power demand control effect in the facility is improved.
本システムの全体機器構成例を示す。1 shows an example of the overall device configuration of the present system. 需要制御装置の構成例を示す。The structural example of a demand control apparatus is shown. 需要制御装置の処理機能構成例を示す。An example of processing function composition of a demand control device is shown. 実績蓄積部ＤＢ１００に蓄積されるデータを示す。7 shows data accumulated in the result accumulation unit DB 100. 実績蓄積作成部０３００の処理内容を示す。The contents of processing of the result accumulation creation unit 0300 are shown. 要請決定部０２００の処理内容を示す。The processing content of the request determination unit 0200 is shown. 要請内容の表示画面構成例を示す。The example of a display screen structure of the content of a request is shown.
　はじめに，本システムの機器構成について説明する。 First, the equipment configuration of this system is explained.
　図１は本システムの機器構成を示している。本システムは建屋０００の中の機器で構成される。構成機器の中には，電力需要者（以下、個人と記載する）の行動把握に用いる機器（例えば０２０カメラ，０１０スマートメータ，０３０ＩｏＴ機器）がある。０１０～０３０の機器は全て必要ではなく，一部があればよい。ここでは，０１０～０３０の機器が全てあるとして説明する。その他の機器に，サーバ０６０，建屋内の個人に需要調整の要請を表示する機器（スマホ０４０，ＰＣ０５０等）がある。０４０～０５０は全て必要ではなく，需要調整の要請を建屋内の個人に表示できればよい。今回はスマホ０４０，ＰＣ０５０に要請を表示するとして説明する。 FIG. 1 shows the device configuration of this system. This system is composed of the equipment in building 000. Among the component devices, there are devices (for example, 020 camera, 010 smart meter, 030 IoT device) used for grasping the behavior of a power demander (hereinafter referred to as an individual). All of the devices from 010 to 030 are not necessary, and some may be present. Here, it is assumed that all of the devices of 010 to 030 are present. Other devices include a server 060 and devices (smartphone 040, PC 050, etc.) for displaying a demand adjustment request to an individual in the building. All 040 to 050 are not necessary, as long as the demand adjustment request can be displayed to individuals in the building. In this case, it is assumed that the request is displayed on the smartphone 040 and the PC 050.
　本システムのデータやり取りは，サーバ０６０がカメラ０２０，スマメ０１０，ＩｏＴ機器０３０から計測データを受け取り，需要調整要請方法を計算した後，計算した需要調整方法をスマホ０４０，ＰＣ０５０などの表示機器に送信して個人に通知する。 As for data exchange of this system, after server 060 receives measurement data from camera 020, smart bean 010, IoT device 030 and calculates the demand adjustment request method, it sends the calculated demand adjustment method to display devices such as smartphone 040 and PC 050. And notify individuals.
　本発明の需要制御装置はサーバ０６０内に組み込まれたシステムプログラムである。以降で需要制御装置について説明する。 The demand control device of the present invention is a system program incorporated in the server 060. The demand control device will be described below.
　図２は、本発明の一実施例による需要制御装置の構成例を示す図である。需要制御装置は計算機システムで構成されており、表示装置１１、キーボードやマウス等の入力手段１２、コンピュータＣＰＵ、通信手段１４、ランダムアクセスメモリＲＡＭ、および各種データベースがバス線３０に接続されている。 FIG. 2 is a diagram showing a configuration example of a demand control apparatus according to an embodiment of the present invention. The demand control device is constituted by a computer system, and a display device 11, input means 12 such as a keyboard or a mouse, a computer CPU, communication means 14, random access memory RAM, and various databases are connected to a bus line 30.
　ここでコンピュータＣＰＵは、計算プログラムを実行して表示すべき画像データの指示や、各種データベース内のデータの検索等を行う。ランダムアクセスメモリＲＡＭは、各種データを一旦格納するメモリである。これらのデータに基づき、コンピュータＣＰＵによって必要な画像データを生成して、表示装置１１（例えば表示ディスプレイ画面）に表示する。 Here, the computer CPU executes a calculation program to instruct image data to be displayed, search data in various databases, and the like. The random access memory RAM is a memory for temporarily storing various data. Based on these data, the computer CPU generates necessary image data and displays it on the display device 11 (for example, a display screen).
　プログラムデータベースＤＢ１には，需要調整内容決定プログラムＰＲを格納する。これらのプログラムは必要に応じてコンピュータＣＰＵに読みだされ，計算が実行される。 The demand adjustment content determination program PR is stored in the program database DB1. These programs are read by the computer CPU as needed and calculations are performed.
　図３を用いて，本発明の需要制御装置の処理機能構成について説明する。需要機器制御装置は現在行動把握部００１０と，要請決定部０２００と，要請応答判断部０４００と，感度計算部０３００と，要請パターン入力部０５００と，実績蓄積部ＤＢ１００と，天候データＤ００１と，電気料金データＤ００２と，需給逼迫データＤ００３からなる。以降ではこれらの各ブロックの機能について説明する。 The processing function configuration of the demand control device of the present invention will be described using FIG. The demand device control device is currently operated by the action grasping unit 0010, the request determination unit 0200, the request response determination unit 0400, the sensitivity calculation unit 0300, the request pattern input unit 0500, the results storage unit DB100, the weather data D001, electricity It consists of charge data D002 and tightness data D003. The functions of these blocks will be described below.
　天候データＤ００１，電気料金データＤ００２，需給逼迫データＤ００３は要請を出した時の天候データ，電気料金データ，需給逼迫データである。これらはデータベースでなく，インターネットによりオンラインで取得したデータでもよい。 The weather data D001, the electricity rate data D002, and the tightness of supply and demand data D003 are weather data, electricity rate data, and tightness of supply and demand data when the request is issued. These may not be databases, but may be data obtained online via the Internet.
　要請パターン入力部０５００は，建屋の管理者が需要調整の要請内容を入力する部分である。要請内容の詳細は実績蓄積部ＤＢ１００で説明する。 The request pattern input unit 0500 is a portion where the manager of the building inputs the request content of the demand adjustment. Details of the contents of the request will be described in the result accumulation unit DB 100.
　現在行動把握部０１００は，カメラのデータ，スマメのデータ，ＩｏＴ機器のデータから，個人が利用する機器と個人の現在の行動を把握する機能である。カメラのデータを用いた個人の現在の行動把握は画像処理で実施する。ＩｏＴ機器のデータからは稼動している機器を把握できるため，その機器の使用者は電力消費行動をとっていることがわかる。スマメのデータからは非特許文献１を用いることで，機器の稼動状態を推定できるため，利用されている機器の使用者は電力消費行動をとっていることがわかる。 The current action grasping unit 0100 is a function of grasping the device used by the individual and the current action of the individual from the data of the camera, the data of the soybean, and the data of the IoT device. The current behavior of the individual using camera data is grasped by image processing. Since the data of the IoT device can be used to understand the device that is operating, it can be understood that the user of the device takes a power consumption behavior. From the data of Smame, it is possible to estimate the operation state of the device by using Non-Patent Document 1, so it can be understood that the user of the device being used takes power consumption behavior.
　次に，要請応答判断部０４００について説明する。要請応答判断部０４００は，個人が需要調整要請に応答したかを判断する機能である。要請応答判断部０４００も現在行動把握部０１００と同様に，カメラ０２０，スマメ０１０，ＩｏＴ機器０３０の計測データを使って，要請後個人が要請に従ったかを判断する。判断方法は現在行動把握部０１００と同様なので説明は省略する。 Next, the request / response determination unit 0400 will be described. The request / response determination unit 0400 is a function to determine whether the individual has responded to the demand adjustment request. The request / response determining unit 0400 also uses the measurement data of the camera 020, the smart phone 010, and the IoT device 030, similarly to the current action determining unit 0100, and determines whether the individual follows the request after the request. The determination method is the same as that of the action grasping unit 0100 at present, and hence the description is omitted.
　次に，図４を用いて，実績蓄積部ＤＢ１００に蓄積されるデータを説明する。図４はＤＢ１００に蓄積されるデータであり，個人の状況である現在の行動ＤＢ１０２，天候ＤＢ１０３，電気料金ＤＢ１０４，需給逼迫度ＤＢ１０５の条件下で個人が要請内容ＤＢ１０１への応答感度ＤＢ１０６，総指令回数ＤＢ１０７，応答回数ＤＢ１０８を格納している。ＤＢ１００は建屋内の個人毎に作成する。ＤＢ１００は需要調整装置が個人に需要調整要請を出すごとに更新される。 Next, data stored in the result storage unit DB 100 will be described with reference to FIG. FIG. 4 shows data stored in the DB 100. Individuals under the conditions of the current behavior DB 102, weather DB 103, electricity rate DB 104, and tightness of supply and demand DB 105, which are individual conditions, response sensitivity DB 106 to request content DB 101, total command A frequency DB 107 and a response frequency DB 108 are stored. DB 100 is created for each individual in the building. The DB 100 is updated each time the demand adjustment device issues a demand adjustment request to an individual.
　要請内容ＤＢ１０１は，要請パターン入力部０５００により，建屋の運用者により入力される。要請内容ＤＢ１０１が，個人への要請内容となる。 The request content DB 101 is input by the operator of the building by the request pattern input unit 0500. The request content DB 101 is the request content for the individual.
　図５を用いて，実績蓄積作成部０３００を説明する。実績蓄積作成部０３００はＤＢ１００を作成する機能である。図５は実績蓄積作成部０３００のフローである。実績蓄積作成部は対応する要請回数更新Ｓ０３０１と，個人の要請への応答有無Ｓ０３０２と，対応する応答回数更新Ｓ０３０３と，応答率計算Ｓ０３０４と，データ格納Ｓ３０５の順に処理を進める。 The result accumulation creation unit 0300 will be described with reference to FIG. The result accumulation creation unit 0300 is a function of creating the DB 100. FIG. 5 is a flow of the result accumulation creation unit 0300. The result accumulation creation unit advances the processing in the order of the corresponding request frequency update S0301, the presence / absence of response to the individual request S0302, the corresponding response frequency update S0303, the response rate calculation S0304, and the data storage S305.
　対応する要請回数更新Ｓ０３０１は，実績蓄積部ＤＢ１００の対応する総要請回数ＤＢ１０７を更新する。対応する総要請回数とは，個人の状況である現在の行動ＤＢ１０２，天候ＤＢ１０３，電気料金ＤＢ１０４，需給逼迫度ＤＢ１０５に合致する，個人に出した要請の要請内容ＤＢ１０１の総要請回数ＤＢ１０７である。例えば，「○○時に食堂利用時，料金１０％ＯＦＦ」の要請を出した時，個人の現在の行動がＰＣ作業，天候が晴れ，電気料金が１００～１１０円，需給逼迫度が８０％の時，更新するセルは図５のＤＢ１０７の列の一番上のセルで，更新前の数値は５０，更新後の数値は５１となる。個人の現在の行動は図３の現在行動把握０１００の判定結果を利用することができる。天候，電気料金，需給逼迫度は図３のＤ００１～Ｄ００３より判定できる。 The corresponding request frequency update S0301 updates the corresponding total request frequency DB 107 of the result accumulation unit DB 100. The corresponding total number of requests is the total request number DB 107 of the request content DB 101 for requests issued to the individual, which matches the current behavior DB 102, weather DB 103, electricity rate DB 104, and tightness of demand / supply DB 105, which is the individual's situation. For example, when a request for “10% off when using a cafeteria at ○○ time” is issued, the current action of the individual is PC work, the weather is fine, the electricity rate is 100 to 110 yen, and the tightness of supply and demand is 80%. At the time, the cell to be updated is the top cell of the column of the DB 107 in FIG. 5, the value before updating is 50, and the value after updating is 51. The current action of the individual can use the determination result of the current action grasp 0100 shown in FIG. The weather, the electricity rate, and the tightness of supply and demand can be determined from D001 to D003 in FIG.
　個人の要請への応答有無Ｓ０３０２は，需要制御装置が出した要請に個人が応答したかを判定するものである。個人が応答したかの判定は図３で説明した要請応答判断部０４００で判定してある。個人の要請への応答有無Ｓ０３０２は，要請応答判断部０４００の結果を用いて判定する。 In response to the request of the individual S0302 determines whether the individual has responded to the request issued by the demand control device. It is determined by the request / response determining unit 0400 described in FIG. 3 whether the individual has responded. The presence / absence of response to the individual request S0302 is determined using the result of the request / response determination unit 0400.
　対応する応答回数更新Ｓ０３０３は，個人の要請への応答有無Ｓ０３０２にて個人が需要調整に応答したと判断した時に，実績蓄積部ＤＢ１００の対応する応答回数ＳＢ１０８を更新する。対応する応答回数とは，個人の状況である現在の行動ＤＢ１０２，天候ＤＢ１０３，電気料金ＤＢ１０４，需給逼迫度ＤＢ１０５に合致する，個人に出した要請の要請内容ＤＢ１０１の応答回数ＤＢ１０８である。例えば，「○○時に食堂利用時，料金１０％OFF」の要請を出した時，個人の現在の行動がＰＣ作業，天候が晴れ，電気料金が１００～１１０円，需給逼迫度が８０％の時，更新するセルは図５のDB１０８の列の一番上のセルで，更新前の数値は４５，更新後の数値は４６となる。 The corresponding response number update S 0303 updates the corresponding response number SB 108 of the result accumulation unit DB 100 when it is determined that the individual has responded to the demand adjustment in the presence or absence of the response to the individual request S 0302. The corresponding number of responses is the number of responses DB 108 of the request content DB 101 of the request issued to the individual, which matches the current behavior DB 102, weather DB 103, electricity rate DB 104, and tightness of demand / supply DB 105, which is the individual's situation. For example, when a request for “10% off when using a cafeteria at ○○ time” is issued, the current action of the individual is PC work, the weather is fine, the electricity rate is 100 to 110 yen, and the tightness of supply and demand is 80%. At the time, the cell to be updated is the top cell of the column of DB 108 in FIG. 5, the value before updating is 45, and the value after updating is 46.
　応答率計算Ｓ０３０４は個人が需要調整要請に応答する割合を計算するものである。計算式を式（１）に示す。 Response rate calculation S0304 is for calculating the rate at which an individual responds to a demand adjustment request. The equation is shown in equation (1).
Figure JPOXMLDOC01-appb-M000001
Figure JPOXMLDOC01-appb-M000001
　データ格納部Ｓ０３０５は計算した応答率Ｐｒを対応する応答率ＤＢ１０６に格納する。対応する応答率とは，対応する応答率とは，個人の状況である現在の行動ＤＢ１０２，天候ＤＢ１０３，電気料金ＤＢ１０４，需給逼迫度ＤＢ１０５に合致する，個人に出した要請の要請内容ＤＢ１０１の応答回数ＤＢ１０８である。 The data storage unit S0305 stores the calculated response rate Pr in the corresponding response rate DB 106. The corresponding response rate corresponds to the current situation DB 102, weather DB 103, electricity rate DB 104, and tightness of demand DB 105, which is the individual's situation, response to the request content DB 101 for the request issued to the individual It is frequency DB108.
　次に，図３の要請決定部０２００について説明する。 Next, the request determination unit 0200 of FIG. 3 will be described.
　要請決定部０２００は，個人に出す要請を決定する機能である。この要請では，個人の状況である現在の行動ＤＢ１０２と，天候ＤＢ１０３と，電気料金ＤＢ１０４と，需給逼迫ＤＢ１０５の条件化での各要請内容で，応答率が最も高い要請を個人に出す要請として決定する。 The request determination unit 0200 is a function of determining a request issued to an individual. This request is determined as a request to send the request with the highest response rate to each request content in the condition of the current behavior DB 102, weather DB 103, electricity rate DB 104, and supply and demand tightness DB 105, which is the individual's situation. Do.
　要請決定部０２００で決定した各個人への要請内容は，スマホ０４０やＰＣ０５０などの要請表示部に表示することで，個人に伝えられる。表示される要請内容の画面構成の一例を図７に示す。表示内容には，例えば，「要請を求める理由」「要請内容」「要請に応答した場合の特典」「需要調整失敗時の損失」を表示する。 The request contents for each individual determined by the request determination unit 0200 are transmitted to the individual by displaying them on the request display unit such as the smartphone 040 or the PC 050. An example of the screen configuration of the request content to be displayed is shown in FIG. As the display content, for example, “reason for requesting a request”, “content of request”, “privilege when responding to a request”, “loss upon failure of demand adjustment” are displayed.
　別の実施形態として，要請決定部０２００の要請内容決定方法の別形態を示す。 As another embodiment, another form of the request content determination method of the request determination unit 0200 is shown.
　別形態の要請決定部０２００は，需要削減量，要請応答時のインセンティブ料，目標需要調整目標，目標需要調整量未達時のペナルティ料から個人に出す要請を決定する機能である。図６を使い，要請決定部０２００の処理を説明する。図６は要請決定部０２００の処理フローである。要請決定部０２００の処理フローは，需要調整要否判定Ｓ０２０４と，調整目標量計算Ｓ０２０５と，要請毎のインセンティブ料金計算Ｓ０２０１と，要請毎の需要調整量期待値計算Ｓ０２０２と，要請組合せ最適化計算Ｓ０２０３を持つ。 The request determination unit 0200 of another form is a function of determining a request to be issued to an individual from a demand reduction amount, an incentive fee at the time of request response, a target demand adjustment target, and a penalty fee at the time the target demand adjustment amount is not reached. The process of the request determination unit 0200 will be described using FIG. FIG. 6 is a process flow of the request determination unit 0200. The processing flow of the request determination unit 0200 includes demand adjustment necessity determination S0204, adjustment target amount calculation S0205, incentive fee calculation S0201 for each request, demand adjustment amount expected value calculation S0202 for each request, and request combination optimization calculation It has S0203.
　需要調整要否判定Ｓ０２０４は，需要調整の要否を判定する機能である。要否の判定は，例えば買電量が契約を超えるか否かで判定する。 Demand adjustment necessity determination S0204 is a function to determine the necessity of demand adjustment. The determination of necessity is made based on, for example, whether the amount of purchased electricity exceeds a contract.
　調整目標計算Ｓ０２０５は，建屋の需要調整総量の目標ＴＤＣを決定する機能である。目標ＴＤＣの計算は以下の式で計算される。 The adjustment target calculation S 0205 is a function of determining a target TDC of the total amount of demand adjustment of the building. The calculation of target TDC is calculated by the following equation.
　（建屋の需要調整総量の目標ＴＤＣ）＝（契約電力）－（買電電力）　　　　　（２） (Target TDC for total demand adjustment of building) = (Contracted power)-(Purchased power) (2)
　要請毎のインセンティブ料金計算Ｓ０２０１と，要請毎の需要調整量期待値計算Ｓ０２０２は建屋内の全ての個人に紐付けられた，需要蓄積部ＤＢ１００に対して処理される。 The incentive charge calculation S0201 for each request and the demand adjustment amount expected value calculation S0202 for each request are processed with respect to the demand accumulation unit DB 100 linked to all the individuals in the building.
　要請毎のインセンティブ料金計算Ｓ０２０１は，需要蓄積部ＤＢ１００の個人の要請内容ＤＢ１０１内の全内容について，個人の要請応答時に渡すインセンティブに必要な料金ＣＩを算出する機能である。例えば要請内容が実績蓄積部ＤＢ１００の「○○時に食堂利用字，料金１００円引き」であった時，インセンティブに必要な料金は１００円である。また，例えば要請内容が「○○時に空調温度下げた部屋に飲み物プレゼント」であった時、飲み物料金，輸送費を計算し，インセンティブに必要な料金ＣＩとして算出する。 Incentive charge calculation for each request S0201 is a function of calculating the charge CI necessary for the incentive to be given at the time of request response of an individual for the entire contents in the individual request content DB 101 of the demand storage unit DB 100. For example, when the contents of the request are "[Caution to use cafeteria, charge 100 yen discount]" in the result accumulation unit DB 100, the charge necessary for the incentive is 100 yen. Also, for example, when the request content is “present in the room where the air conditioning temperature was lowered at xxx times”, the drink charge and the transportation cost are calculated and calculated as the charge CI necessary for the incentive.
　要請毎の需要調整量期待値計算Ｓ０２０２は，需要蓄積部ＤＢ１００の個人の要請内容ＤＢ１０１内の全内容について，個人の要請応答時に見込まれる需要調整量を計算する機能である。例えば，要請内容が「○○時に空調温度下げた部屋に飲み物プレゼント」だった時，空調温度を下げた時の消費電力変化量を計算する。また，例えば要請内容が「○○時に食堂利用時，料金１００円引き」だった時，食堂を利用することで今まで利用していた機器の電源をＯＦＦにすることによる個人の電力消費量の変化と，食堂の電力使用量の変化を合計することで，需要調整量ＤＣを計算する。 Demand adjustment amount expected value calculation S0202 for each request is a function of calculating a demand adjustment amount expected at the time of request response of an individual for all contents in the individual request content DB 101 of the demand storage unit DB 100. For example, when the content of the request is "a drink present in the room where the air conditioning temperature was lowered at the time of xx", the power consumption change amount when the air conditioning temperature is lowered is calculated. Also, for example, when the request content is “¥ 100 discount when using the cafeteria at the time of ○○”, the power consumption of the individual by turning off the power of the device used so far by using the cafeteria The demand adjustment amount DC is calculated by adding the change and the change in the power consumption of the cafeteria.
　要請組合せ最適化計算Ｓ０２０３は，各個人に出す要請を決定する機能である。要請組合せ最適化計算Ｓ０２０３は目的関数を全ての要請で支払うインセンティブの期待値ＰＣＩが最小とすることを目的とし，全ての要請で調整される需要総調整量の期待値ＰＤＣが，調整目標量ＴＤＣより小さくなることを制約とした最適化計算である。ＰＣＩ，ＰＤＣは以下の計算式で計算される。 The request combination optimization calculation S 0203 is a function of determining a request issued to each individual. The request combination optimization calculation S 0203 aims to minimize the expected value PCI of the incentive to pay the objective function for all requests, and the expected value PDC for the total demand adjustment amount adjusted for all requests is the adjustment target amount TDC. It is an optimization calculation that is constrained to be smaller. PCI and PDC are calculated by the following formula.
Figure JPOXMLDOC01-appb-M000002
Figure JPOXMLDOC01-appb-M000002
Figure JPOXMLDOC01-appb-M000003
Figure JPOXMLDOC01-appb-M000003
　なお，本発明は上記した実施例に限定されるものではなく，様々な変形例が含まれる。例えば上記した実施例は本発明を分かりやすく説明するために詳細に説明したものであり，必ずしも説明した全ての構成を備えるものに限定されるものではない。 The present invention is not limited to the embodiments described above, but includes various modifications. For example, the above-described embodiments are described in detail in order to explain the present invention in an easy-to-understand manner, and are not necessarily limited to those having all the described configurations.
　個人の状況に合った要請を出せるため，応答率の高い需要調整要請を個人に提示でき，建屋内の総需要調整が目標量に到達しやすくなる。 In order to be able to issue a request that matches the individual's situation, a demand adjustment request with a high response rate can be presented to the individual, and the total demand adjustment in the building can easily reach the target amount.
０００　建屋
０１０　スマートメータ（スマメ）
０２０　カメラ
０３０　ＩｏＴ機器
０４０　スマホ
０５０　ＰＣ
０６０　サーバ
１１　　表示装置
１２　　入力手段
１３　　ＣＰＵ
１４　　通信手段
１５　　ＲＡＭ
ＤＢ１　プログラムデータ
３０　　バス
０１００　現在行動把握
０２００　要請内容決定部
０３００　実績蓄積作成部
０４００　需要応答判断部
０５００　要請パターン入力部
Ｄ００１　天候データ
Ｄ００２　電気料金
Ｄ００３　需給逼迫
Ｄ００４　契約電力
Ｄ００５　現在の建屋消費電力
ＤＢ１００　実績蓄積部 000 Building 010 Smart Meter (Smame)
020 Camera 030 IoT Device 040 Smartphone 050 PC
060 server 11 display device 12 input means 13 CPU
14 Communication means 15 RAM
DB1 Program data 30 Bus 0100 Current action grasp 0200 Request content decision part 0300 Achievement accumulation creation part 0400 Demand response judgment part 0500 Request pattern input part D 001 Weather data D 002 Electricity charge D 003 Supply and demand tightness D 004 Contract power D 005 Current building power consumption DB 100 Results accumulation Department

Claims (10)

  1. 　電力需要者に対して電力需要調整の要請を行う需要制御装置において、
    　前記電力需要者の電力消費行動および前記要請に対する応答履歴に基づいて、前記電力需要者に対する電力需要調整の要請内容を決定する計算部を備え、
    　前記計算部は、複数の前記要請内容を比較し、各要請に対する電力需要者の応答率が高い要請内容を、前記電力需要者に行う要請内容と決定することを特徴とする需要制御装置。     In the demand control device that requests the power demander to adjust the power demand,
    The calculation unit is configured to determine the content of the power demand adjustment to the power consumer based on the power consumption behavior of the power consumer and the response history to the request.
    The demand control apparatus, wherein the calculation unit compares a plurality of the request contents, and determines a request content having a high response rate of the power consumer to each request as the request content to be made to the power consumer.
  2. 　請求項１に記載の需要制御装置において、
    　前記計算部は、カメラ、スマートメータ、又はＩｏＴ機器の内少なくとも一つのデータに基づいて、前記電力需要者の電力消費行動、又は前記要請に対する応答有無を把握することを特徴とする需要制御装置。     In the demand control device according to claim 1,
    The demand control device, wherein the calculation unit determines the power consumption behavior of the power consumer or the presence or absence of a response to the request based on at least one data of a camera, a smart meter, or an IoT device.
  3. 　請求項１に記載の需要制御装置は、
    　前記電力消費行動、天候、電気料金、需給逼迫度、前記要請に対する応答感度、総指令回数、又は応答回数の少なくとも一つを格納する記憶部を備えることを特徴とする需要制御装置。     The demand control device according to claim 1 is
    A demand control device comprising: a storage unit storing at least one of the power consumption behavior, weather, electricity charge, tightness of supply and demand, response sensitivity to the request, total number of times of instruction, or number of times of response.
  4. 　請求項１に記載の需要制御装置において、
    　前記応答率は、前記電力需要者が前記要請に対して応答した回数に、前記要請を行った総回数で除した値であることを特徴とする需要制御装置。     In the demand control device according to claim 1,
    The demand control apparatus, wherein the response rate is a value obtained by dividing the number of times the power demander responds to the request by the total number of times the request has been made.
  5. 　請求項１に記載の需要制御装置は、
    　前記決定した要請内容に基づいて、前記電力需要者に対して、要請を求める理由、要請内容、要請に応答した場合の特典、又は需要調整失敗時の損失の内少なくとも一つを送信する通信部を備えることを特徴とする需要制御装置     The demand control device according to claim 1 is
    A communication unit for transmitting at least one of the reason for requesting the request, the content of the request, the benefit when responding to the request, or the loss at the time of failure of the demand adjustment based on the determined content of the request Demand control device characterized by comprising
  6. 　請求項１に記載の需要制御装置において、
    　前記要請内容の決定は、需要削減量、要請応答時のインセンティブ料、目標需要調整量、又は目標需要調整量未達時のペナルティ料の内少なくとも一つから決定することを特徴とする需要制御装置。     In the demand control device according to claim 1,
    The demand control device is characterized in that the request content is determined from at least one of a demand reduction amount, an incentive fee at the time of request response, a target demand adjustment amount, or a penalty fee when the target demand adjustment amount is not reached. .
  7. 　請求項１に記載の需要制御装置において、
    　前記計算部は、要請応答時のインセンティブ料が最小となるように、各電力需要者への要請内容を決定することを特徴とする需要制御装置。     In the demand control device according to claim 1,
    The demand control device, wherein the calculation unit determines the contents of the request to each power consumer so that the incentive fee at the time of request response is minimized.
  8. 　電力需要者に対して電力需要調整の要請を行う需要制御方法において、
    　前記電力需要者の電力消費行動および前記要請に対する応答履歴に基づいて、前記電力需要者に対する電力需要調整の要請内容を決定し、前記要請内容の決定は、複数の前記要請内容を比較し、各要請に対する電力需要者の応答率が高いものとすることを特徴とする需要制御方法。     In a demand control method for requesting a power demand adjustment for power demand,
    The request content of power demand adjustment to the power consumer is determined based on the power consumption behavior of the power consumer and the response history to the request, and the determination of the content of the request compares a plurality of the content of the request, A demand control method characterized in that a power demander's response rate to a request is high.
  9. 　請求項８に記載の需要制御方法において、
    　前記応答率は、前記電力需要者が前記要請に対して応答した回数に、前記要請を行った総回数で除した値であることを特徴とする需要制御方法。     In the demand control method according to claim 8,
    The demand control method, wherein the response rate is a value obtained by dividing the number of times the power demander responds to the request by the total number of times the request has been made.
  10. 　請求項８に記載の需要制御方法において、
    　前記電力需要者の要請応答時のインセンティブ料が最小となるように、各電力需要者への要請内容を決定することを特徴とする需要制御方法。     In the demand control method according to claim 8,
    A demand control method characterized in that contents of a request for each power consumer are determined such that an incentive fee at the time of response to the demand of the power consumer is minimized.
PCT/JP2018/028791 2017-09-28 2018-08-01 Demand control device and method WO2019064905A1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2017-187403 2017-09-28
JP2017187403A JP2019061596A (en) 2017-09-28 2017-09-28 Demand control apparatus and method

Publications (1)

Publication Number Publication Date
WO2019064905A1 true WO2019064905A1 (en) 2019-04-04

Family

ID=65901176

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2018/028791 WO2019064905A1 (en) 2017-09-28 2018-08-01 Demand control device and method

Country Status (2)

Country Link
JP (1) JP2019061596A (en)
WO (1) WO2019064905A1 (en)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008295193A (en) * 2007-05-24 2008-12-04 Nippon Telegr & Teleph Corp <Ntt> Device, system and method for controlling power demand
JP2011254582A (en) * 2010-05-31 2011-12-15 Eneres Corp Electric power demand management apparatus and electric power demand management system
JP2012083105A (en) * 2012-01-31 2012-04-26 Mitsubishi Electric Corp Energy saving device and air conditioner
JP2013102637A (en) * 2011-11-09 2013-05-23 Sony Corp Power management apparatus, power management method and demand notification apparatus
WO2013084268A1 (en) * 2011-12-09 2013-06-13 株式会社日立製作所 Resource allocation method by means of coordination among different entities
JP2014120787A (en) * 2012-12-13 2014-06-30 Toshiba Corp Electronic apparatus and apparatus system
JP2016012273A (en) * 2014-06-30 2016-01-21 富士電機株式会社 Power consumption induction device, method and program for controlling power consumption induction device

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008295193A (en) * 2007-05-24 2008-12-04 Nippon Telegr & Teleph Corp <Ntt> Device, system and method for controlling power demand
JP2011254582A (en) * 2010-05-31 2011-12-15 Eneres Corp Electric power demand management apparatus and electric power demand management system
JP2013102637A (en) * 2011-11-09 2013-05-23 Sony Corp Power management apparatus, power management method and demand notification apparatus
WO2013084268A1 (en) * 2011-12-09 2013-06-13 株式会社日立製作所 Resource allocation method by means of coordination among different entities
JP2012083105A (en) * 2012-01-31 2012-04-26 Mitsubishi Electric Corp Energy saving device and air conditioner
JP2014120787A (en) * 2012-12-13 2014-06-30 Toshiba Corp Electronic apparatus and apparatus system
JP2016012273A (en) * 2014-06-30 2016-01-21 富士電機株式会社 Power consumption induction device, method and program for controlling power consumption induction device

Also Published As

Publication number Publication date
JP2019061596A (en) 2019-04-18

Similar Documents

Publication Publication Date Title
US20210041861A1 (en) Control system with automatic optimization formulation
JP6254109B2 (en) Power transaction management system and power transaction management method
US11675320B2 (en) Systems and methods for controlling equipment operation using granular asset and general asset models to determine asset allocation
US11445024B2 (en) Building control system with smart edge devices having embedded model predictive control
US11281173B2 (en) Systems and methods for maintaining occupant comfort for various environmental conditions
US20080177423A1 (en) Automatic energy management and energy consumption reduction, especially in commercial and multi-building systems
US20220365495A1 (en) Building control system with features for operating under intermittent connectivity to a cloud computation system
US20170228773A1 (en) Information provision device, information provision method, and information provision system
US20210216938A1 (en) Enterprise platform for enhancing operational performance
KR20130045006A (en) Method and system for managing electric power demand based on prior prediction of electric power demand
JP2012149839A (en) Air conditioner linkage control system, air conditioner linkage control method, and air conditioner linkage control program
JP2008295193A (en) Device, system and method for controlling power demand
JP5813572B2 (en) Power management support device, power management support method, power management support program
Tang et al. A load control method for small data centers participating in demand response programs
US20200142364A1 (en) Central plant optimization system with streamlined data linkage of design and operational data
US20140163743A1 (en) Information processing device, information processing method, and storage medium
Bessa Future trends for big data application in power systems
JP2017169289A (en) Power prediction system, power prediction method, and program
WO2019064905A1 (en) Demand control device and method
WO2018207226A1 (en) Aggregator-side system, prosumer-side system, aggregation system, and aggregation method
Nouri et al. Probabilistic assessment and sensitivity analysis of marginal price of different services in power markets
JP2015225637A (en) Correlation analysis device, correlation analysis method, and program for correlation analysis
JP6018105B2 (en) Prediction system, prediction method
US20190109457A1 (en) System and method for power load shedding associated with a demand response program
US20210216934A1 (en) Managing flexible grid resources

Legal Events

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

Ref document number: 18860825

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 18860825

Country of ref document: EP

Kind code of ref document: A1