WO2016186069A1 - Dispositif de présentation de montant de prédiction de prime - Google Patents

Dispositif de présentation de montant de prédiction de prime Download PDF

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Publication number
WO2016186069A1
WO2016186069A1 PCT/JP2016/064438 JP2016064438W WO2016186069A1 WO 2016186069 A1 WO2016186069 A1 WO 2016186069A1 JP 2016064438 W JP2016064438 W JP 2016064438W WO 2016186069 A1 WO2016186069 A1 WO 2016186069A1
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Prior art keywords
amount
incentive
unit
control
expected value
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PCT/JP2016/064438
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English (en)
Japanese (ja)
Inventor
和貴子 砂守
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ダイキン工業株式会社
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Publication of WO2016186069A1 publication Critical patent/WO2016186069A1/fr

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    • 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
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy 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
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • 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
    • H02J2310/54—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 according to a pre-established time schedule
    • 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 an apparatus for presenting a predicted amount of incentive for demand response control performed by equipment.
  • demand response control for realizing demand response has been studied.
  • power suppliers, etc. provide incentives (money, reduction of electricity charges, etc.) to equipment users (power consumers), and promote adjustment of power consumption of equipment and equipment.
  • incentives money, reduction of electricity charges, etc.
  • equipment users power consumers
  • power consumption energy consumption
  • Demand for incentives is an important concern for users of equipment that performs demand response control.
  • the incentive acquisition amount varies depending on the control conditions of demand response control, the use environment of the equipment, and the like. For this reason, it is difficult to predict whether or not the amount of incentive expected by the user can be continuously acquired.
  • An object of the present invention is to provide an incentive prediction amount presentation device that allows a user to determine the validity of control conditions for demand response control for equipment.
  • the incentive prediction amount presentation device provides an incentive to a user of an equipment device when the equipment device performs demand response control for adjusting energy consumption in response to a control request under a predetermined control condition. It is used for energy consumption management system that gives The incentive prediction amount presentation device presents an incentive prediction amount, and includes an expected value storage unit, a prediction amount calculation unit, and a prediction amount presentation unit.
  • the expected value storage unit stores an expected value related to the predicted amount of incentive in association with patterns classified at predetermined time intervals according to the state of the equipment.
  • the predicted amount calculation unit calculates the predicted amount of the incentive after a predetermined time based on the state pattern of the equipment after the predetermined time and the expected value.
  • the predicted amount presentation unit presents a predicted amount of incentive.
  • the prediction amount of the incentive after a predetermined time is presented, so that the user can determine the validity of the control condition of the demand response control for the equipment.
  • the incentive prediction amount presentation device is the incentive prediction amount presentation device according to the first aspect, and further includes a calculation period setting unit.
  • the calculation period setting unit sets a calculation period for the predicted amount of incentives.
  • the predicted amount calculation unit classifies the state of the equipment in the calculation period into a plurality of patterns for each predetermined time interval, and calculates an incentive predicted amount based on the classified patterns and expected values.
  • the calculation period of the incentive prediction amount can be set, so that the user can set a time when he / she wants to judge the appropriateness of demand response control.
  • the incentive prediction amount presentation device is the incentive prediction amount presentation device according to the first aspect or the second aspect, and further includes a scheduled state information setting unit.
  • the scheduled state information setting unit sets scheduled state information indicating the state of the equipment device scheduled for the scheduled period.
  • the predicted amount calculation unit classifies the state of the equipment in the scheduled period into a plurality of patterns for each predetermined time interval, and calculates an incentive predicted amount based on the classified patterns and expected values.
  • An incentive prediction amount presentation device is an incentive prediction amount presentation device according to any one of the first to third aspects, comprising a control result storage unit, a pattern classification unit, an expected value calculation unit, And an expected value writing unit.
  • the control result storage unit stores the control result of the demand response control performed by the equipment for a predetermined period at predetermined time intervals.
  • category part classifies the state of the installation apparatus in a predetermined period into the some pattern for every predetermined time interval.
  • the expected value calculation unit calculates an expected value for each pattern classified by the pattern classification unit based on the control result.
  • the expected value writing unit writes the expected value calculated by the expected value calculating unit to the expected value storage unit.
  • the expected value is calculated as appropriate, so the accuracy of the incentive prediction amount can be increased.
  • the incentive prediction amount presentation device is the incentive prediction amount presentation device according to the fourth aspect, wherein the control result is the number of control requests and the demand response control performed in response to the control request. This is information including the number of times, the energy consumption adjusted by demand response control, and the unit price of the incentive.
  • an expected value is calculated based on each of the above information, so that a highly accurate incentive prediction amount can be presented.
  • the incentive prediction amount presentation device is an incentive prediction amount presentation device according to any of the first to fifth aspects, and further includes a target amount setting unit and a target day calculation unit.
  • the target amount setting unit sets a target amount for the incentive.
  • the target days calculation unit calculates a target number of days indicating the number of days required to reach the target amount based on the predicted amount of incentive.
  • the predicted amount presentation unit presents the target number of days.
  • the target number of days until the incentive target amount is reached is presented, so that the user can easily determine the validity of the control condition for demand response control.
  • An incentive prediction amount presentation device is the incentive prediction amount presentation device according to any one of the first to sixth aspects, further comprising an actual amount storage unit and an actual comparison amount calculation unit.
  • the actual amount storage unit stores the incentive actual amount given due to the demand response control in association with the time information.
  • the actual comparison amount calculation unit extracts the actual amount of the incentive stored in the actual amount storage unit based on the time information after a predetermined time corresponding to the predicted amount of the incentive, and the actual amount of the extracted incentive and a predetermined time later
  • a performance comparison amount indicating a comparison with the predicted amount of the incentive is calculated.
  • the predicted amount presentation unit presents a performance comparison amount.
  • An incentive prediction amount presentation device is the incentive prediction amount presentation device according to any one of the first to seventh aspects, wherein the actual amount storage unit and the prediction amount storage unit have the same time comparison amount And a calculation unit.
  • the actual amount storage unit stores the incentive actual amount given due to the demand response control in association with the time information.
  • the prediction amount storage unit stores the incentive prediction amount in association with the time information.
  • the same time comparison amount calculation unit calculates the same time comparison amount indicating a comparison between the predicted amount and the actual amount having the same time information.
  • the predicted amount presentation unit presents the same time comparison amount.
  • the user can determine the validity of the control condition of demand response control for the equipment.
  • the user can set a time when he / she wants to determine the validity of demand response control.
  • the user can determine the validity of demand response control in the scheduled period.
  • the accuracy of the incentive prediction amount can be increased.
  • the user can easily determine the validity of the control condition for demand response control.
  • the user can easily determine the validity of the control condition for demand response control.
  • the validity of the prediction amount presented by the incentive prediction amount presentation device can be verified.
  • FIG. 1 is a schematic diagram showing a configuration of a power management apparatus 10.
  • FIG. 3 is a schematic diagram illustrating a configuration of a storage unit 14 of the power management apparatus 10.
  • FIG. 3 is a schematic diagram showing a configuration of a control device 30.
  • FIG. 3 is a schematic diagram showing a configuration of a storage unit 34 of the control device 30.
  • FIG. The figure for demonstrating the incentive prediction amount calculation process in the control apparatus.
  • FIG. 1 is a schematic diagram for explaining an energy consumption management system according to an embodiment of the present invention. In the following, for the sake of easy understanding, it is assumed that the energy consumed by the facility device 20 is electric energy.
  • the energy consumption management system is a mechanism that gives an incentive to a user of an equipment device when the equipment device 20 adjusts the energy consumption in response to a control request from the power company 1a for a predetermined adjustment period. .
  • This energy consumption management system individually gives incentives to a plurality of users for a plurality of facility devices.
  • the electric power company 1a and the user have concluded a contract in which an agreement regarding the use of electric power is determined in advance, and the incentive mode is also determined in advance based on the contract.
  • Such an energy consumption management system is realized by the power supplier 1a of the power supplier and each device installed in each property A, B of the consumer.
  • the power company 1 a has a power management device 10.
  • the power management apparatus 10 sends a “control request” that prompts each facility device 20 to adjust energy.
  • the power management apparatus 10 calculates the amount of incentive to be given to the user from the record that the facility device 20 responds to the control request.
  • the power management apparatus 10 may be installed not only in the power company 1a but also in an aggregator that is a lower power supplier.
  • the facilities 3a and 3b of the properties A and B are, for example, buildings such as office buildings, tenant buildings, factories, and general households. Each property A and B controls the equipment 20, the power supply 6 that supplies power to the equipment 20, the power meter 7 that measures the amount of power supplied from the power supply 6 to the equipment 20, and the equipment 20.
  • the control device 30 is installed. Power is supplied from the power company 1a to the facilities 3a and 3b of the property A and B through the power line 102a. Electric power is supplied from the power source 6 to the equipment 20 in the same property via the indoor power line 102b.
  • the power management apparatus 10 and the control apparatus 30 are connected by the internet 101a, for example.
  • the control device 30 and the equipment 20 in the same property are connected by a dedicated control line 101b or the like.
  • demand response (hereinafter sometimes referred to as “DR”)
  • demand response control energy adjustment control for realizing demand response
  • FIG. 2 is a schematic diagram illustrating the configuration of the power management apparatus 10.
  • the power management apparatus 10 includes a communication unit 11, an input unit 12, an output unit 13, a storage unit 14, and a calculation unit 15.
  • the communication unit 11 communicates with the control device 30, and includes a network interface that enables connection to the Internet 101a.
  • the input unit 12 is used to input information to the power management apparatus 10 and includes operation buttons, a keyboard, a mouse, and the like.
  • the output unit 13 outputs information stored in the power management apparatus 10 and is configured by a display or the like.
  • the storage unit 14 stores information input to the power management apparatus 10 and includes a hard disk or the like. As shown in FIG. 3, the storage unit 14 stores a combination of an adjustable power amount and an adjustable time zone in each of the properties A and B. The storage unit 14 stores a program executed by the calculation unit 15 and the like.
  • the calculation unit 15 performs various calculations based on information stored in the power management apparatus 10 and is configured by a CPU, a ROM, a RAM, and the like.
  • the calculation unit 15 reads and executes the program stored in the storage unit 14 to thereby execute the power consumption prediction unit 15a, the power adjustment determination unit 15b, the equipment device selection unit 15c, and the control shown in FIG. It functions as a request sending unit 15d and an incentive information determining unit 15e.
  • the power consumption prediction unit 15a predicts the amount of power supplied and the amount of demand, and predicts the power consumption after a predetermined time.
  • the power consumption prediction unit 15a determines whether or not the demand amount of power after a predetermined time may exceed the predetermined supply amount.
  • the power adjustment determining unit 15b adjusts and adjusts the power consumption. The time and adjustment period are determined.
  • the facility device selection unit 15c performs facility response control based on the information on the facility device 20 stored in the storage unit 14 and the information necessary for power consumption suppression determined by the power adjustment determination unit 15b. The device 20 is selected.
  • the control request sending unit 15d sends a “control request” that prompts the control device 30 selected by the facility device selection unit 15c to adjust the amount of power used.
  • the control request includes information such as the amount of power to be adjusted and the time zone. Depending on the content of the contract between the supplier and the user, the amount of power to be adjusted may be determined in advance, and in this case, transmission of information regarding the amount of power to be adjusted is omitted.
  • the incentive information determination unit 15e determines information regarding the amount of incentive given to the user.
  • the amount of incentive is given by, for example, the product of the power adjustment amount and the incentive unit price.
  • the incentive information determination unit 15e changes the incentive unit price or the like according to the situation.
  • the facility device 20 is a device that operates under the control conditions set by the control device 30. By operating the equipment 20 under control conditions that satisfy the control request from the power management apparatus 10, the power consumption is adjusted in the energy consumption management system.
  • the types of equipment 20 include an air conditioner 20a, lighting 20b, and a ventilation fan 20c.
  • the air conditioner 20a has different power consumption in the operation state due to a difference in an operation mode such as a cooling mode / a heating mode, a difference in set temperature, and a difference in environment such as an outside air temperature.
  • Some of the lights 20b are operated only on / off and consume a certain amount of power in the operating state, and some of the lights 20b have different power consumption for each operation by switching the illuminance in multiple stages.
  • the ventilation fan 20c is operated only on / off, and consumes constant power in the operating state.
  • FIG. 4 is a schematic diagram illustrating the configuration of the control device 30.
  • the control device 30 is used in the energy consumption management system and controls the equipment 20.
  • the control device 30 includes a communication unit 31, an input unit 32, an output unit 33, a storage unit 34, a setting unit 35, a calculation unit 36, and a control unit 37.
  • the communication unit 31 communicates with the power management apparatus 10 and includes a network interface or the like that enables connection to the Internet 101a.
  • the input unit 32 is used to input information to the control device 30, and includes an operation button and a touch screen that covers the display of the output unit 33. Via the input unit 32, various commands such as a setting change for the equipment 20 and a change of the operation mode can be input.
  • the input unit 32 receives an input of the “calculation period” of the predicted amount of incentive.
  • the output unit 33 outputs information stored in the control device 30 and includes a display.
  • the display of the output unit 33 outputs a screen showing the operation mode of the equipment 20, ON / OFF of the equipment 20, the operation mode (for example, the cooling mode / heating mode for the air conditioner 20 a), setting, and the like. It displays temperature, illuminance, ventilation volume, operating time, operating rate, other information related to operating capacity during operation, and current power consumption.
  • the display of the output unit 33 displays the incentive prediction amount.
  • the storage unit 34 stores information input to the control device 30 and includes a hard disk or the like.
  • the storage unit 34 stores a program that can be read and executed by the calculation unit 36 described later.
  • the storage unit 34 stores information on control conditions and power consumption according to the type of the equipment device 20.
  • the “control condition” is a condition when the control device 30 controls the equipment device 20. For example, as control conditions, output information for controlling the air conditioner 20a so as to reach a predetermined set temperature is stored. In the initial state, the control conditions are set in advance.
  • the storage unit (expected value storage unit) 34 stores an expected value related to the incentive prediction amount in association with patterns classified at predetermined time intervals according to the state of the equipment.
  • equipment status refers to time status (season, month, early / late, day of the week), external environmental status (outside temperature, weather), operating status (operating mode, number of units operated, load factor, power consumption) ) Etc.
  • the “pattern” is a state in which the state of the equipment classified by the above items is further divided at predetermined time intervals (for example, every 30 minutes).
  • the storage unit 34 stores an incentive amount that can be expected for each classified pattern as an “expected value”.
  • 0.8 yen, 15.2 yen, 15.2 yen, and 0.6 yen are stored as expected values for patterns assigned with identification numbers 10, 11, 12, and 13, respectively. . The setting of the pattern and the incentive amount will be described later.
  • control result storage unit displays the control result of the demand response control performed by the facility device during a predetermined period “state (pattern) of the facility device at every predetermined time interval (for example, every 30 minutes)”.
  • the “control result” is information including the number of control requests, the number of demand response controls performed in response to the control request, the power suppression amount adjusted by the demand response control, and the incentive unit price.
  • the storage unit 34 stores information such as a request rate, an acceptance rate, a suppression amount, and an incentive unit price as shown in FIG. 5 for each pattern as a control result of DR control.
  • the “request rate ([%])” is an actual rate at which a control request is made from an electric power company or an aggregator in each time period.
  • the “acceptance rate ([%])” is a performance rate at which the facility device 20 responds to a control request for DR control in each time period.
  • the “suppression amount ([kW])” is a power suppression amount adjusted by the equipment device 20 in response to a control request for DR control in each time period. In addition, you may use the suppression rate with respect to the electric power used of the equipment 20 instead of the suppression amount.
  • “Unit price ([yen / kW])” is the unit price of the incentive in each time period.
  • the setting unit 35 sets control conditions for the equipment 20 based on information input from the input unit 32 and the like.
  • the calculation unit 36 performs various calculations based on information stored in the control device 30 and is composed of, for example, a CPU, a ROM, and a RAM.
  • the calculation unit 36 has the functions of the prediction amount calculation unit 36a and the expected value derivation unit 36b shown in FIG. 4 by reading and executing the program stored in the storage unit 34 described above.
  • the predicted amount calculation unit 36a calculates the predicted amount of the incentive after a predetermined time based on the pattern of the state of the equipment device 20 after the predetermined time and the expected value. Specifically, the predicted amount calculation unit 36a classifies the state of the equipment device 20 in the calculation period into a plurality of patterns for each predetermined time interval, and calculates the predicted amount of incentive based on the classified patterns and expected values. calculate. Details of the operation of the predicted amount calculation unit 36a will be described later.
  • the expected value deriving unit 36b derives an expected value related to the predicted amount of incentive based on past performance data and the like.
  • the expected value deriving unit 36b pattern classification unit
  • the expected value deriving unit 36b expected value calculating unit
  • the expected value deriving unit 36 b expected value writing unit
  • writes the calculated expected value in the storage unit 34 Details of the operation of the expected value deriving unit 36b will be described later.
  • the control unit 37 controls the equipment 20 based on the control conditions set by the setting unit 35.
  • FIG. 6 is a process diagram for explaining the operation of the control device 30.
  • control result storage unit of the control device 30
  • the control result of the demand response control performed by the facility device 20 and the state of the facility device 20 are stored in association with each other at predetermined time intervals.
  • the control result of the DR control is stored in the storage unit 34 divided into time intervals of every 30 minutes.
  • the number of control requests, the number of demand response controls performed in response to the control request, the power consumption adjusted by the demand response control, the unit price of incentive, and the like are stored in the storage unit 34 ( T1).
  • the expected value deriving unit 36b of the control device 30 classifies the state of the equipment device 20 in a predetermined period into a plurality of patterns at predetermined time intervals according to a predefined classification item (T2).
  • the control result of the DR control is extracted from the storage unit 34 based on the state of the equipment device 20 in the predetermined period by the expected value deriving unit 36b of the control device 30 (T3).
  • the expected value derivation unit 36b calculates an expected value in each pattern based on the classified pattern and the extracted control result of the DR control (T4).
  • the request rate, acceptance rate, suppression amount, and incentive are 80 [%], 5 [%], 10 [kW], and 2 [yen / kW], respectively.
  • Expected value is calculated as “0.8 [yen]”. The expected value calculated here is written in the storage unit 34.
  • the “suppression amount” and “incentive unit price” have a plurality of actual values
  • one of the following calculation methods can be selected according to the purpose. That is, when it is desired to know the value most likely to occur, the “mode value” can be adopted. In addition, when it is desired to know a highly likely value under the same condition as the previous time, the “prior value” can be adopted. In addition, the “minimum value” can be adopted when it is desired to know the value when it is least expected. Further, when it is desired to know the value when the expected value is the maximum, the “maximum value” can be adopted. Further, when it is desired to know the average value, the “average value” can be adopted.
  • the expected value may be obtained from the average value of similar properties. Then, after the result data is sufficiently accumulated, the result value may be replaced with one derived from the own property.
  • the “calculation period” of the predicted amount of incentive desired by the user is input to the control device 30 via the input unit 32 (S1). For example, information such as “January 13, 2015 at 8:00 to January 13, 2015 at 9:59” is input as the calculation period (FIG. 7A).
  • the state of the facility device 20 in the calculation period is classified into a plurality of patterns at predetermined time intervals by the predicted amount calculation unit 36a of the control device 30 (S2). Specifically, a pattern is defined for the state of equipment every 30 minutes based on past performance data and the like.
  • a pattern is defined for the state of equipment every 30 minutes based on past performance data and the like.
  • “Time period from 8:00 to 8:30”, “Time period from 8:30 to 9:00”, “Time period from 9:00 to 9:30”, “Time period from 9:30 to 10:00” Are classified as pattern numbers 10, 11, 12, and 13 (FIG. 7B).
  • an expected value corresponding to these patterns is extracted from the storage unit 34 by the predicted amount calculation unit 36a (S3).
  • expected values “8.0 yen”, “15.2 yen”, “15.2 yen”, and “0.6 yen” corresponding to the pattern numbers 10, 11, 12, and 13 are extracted from the storage unit 34, respectively. (FIG. 7C).
  • the total of the extracted expected values is obtained as the incentive prediction amount by the prediction amount calculation unit 36a.
  • the incentive prediction amount is presented via the output unit 33 (S4).
  • the incentive prediction amount corresponding to the calculation period is presented as “31.8 yen” (FIG. 7D).
  • an incentive prediction amount that can be obtained in the specified calculation period is presented.
  • the control device 30 (incentive prediction amount presentation device) according to an embodiment of the present invention is configured such that when the facility device 20 performs demand response control in which energy consumption is adjusted according to a control request, under a predetermined control condition, the facility device It is used in an energy consumption management system that gives incentives to 20 users.
  • the control device 30 presents a predicted amount of incentive, and includes a storage unit 34 (expected value storage unit), a predicted amount calculation unit 36a, and an output unit 33 (predicted amount presentation unit).
  • the storage unit 34 stores an expected value related to the predicted amount of incentives in association with patterns classified at predetermined time intervals according to the state of the equipment device 20.
  • the predicted amount calculation unit 36a calculates the predicted amount of the incentive after a predetermined time based on the pattern of the state of the equipment device 20 after the predetermined time and the expected value.
  • the output unit 33 presents a predicted amount of incentive.
  • control device 30 since the control device 30 presents the predicted amount of incentive after a predetermined time, it is possible to allow the user to determine the validity of the control condition of the demand response control for the equipment device 20.
  • control device 30 receives the setting of the calculation period of the incentive prediction amount via the input unit 32 (calculation period setting unit).
  • the predicted amount calculation unit 36a classifies the state of the equipment device 20 in the calculation period into a plurality of patterns for each predetermined time interval, and calculates an incentive predicted amount based on the classified patterns and expected values. With such a configuration, the user can set a time when he / she wants to determine the validity of demand response control.
  • control device 30 includes a storage unit 34 (control result storage unit) and an expected value derivation unit 36b (pattern classification unit, expected value calculation unit, and expected value writing unit).
  • storage part 34 memorize
  • the expected value deriving unit 36b (pattern classification unit) classifies the state of the equipment device 20 in a predetermined period into a plurality of patterns at predetermined time intervals.
  • the expected value deriving unit 36b (expected value calculating unit) calculates an expected value for each classified pattern based on the control result.
  • the expected value deriving unit 36 b (expected value writing unit) writes the calculated expected value in the storage unit 34. Since the control device 30 calculates and updates the expected value as appropriate, the accuracy of the incentive prediction amount can be increased.
  • control device 30 is based on information including the number of control requests, the number of demand response controls performed in response to the control request, the energy consumption adjusted by the demand response control, and the incentive unit price as a control result. Expected value. Thereby, the control apparatus 30 can show the prediction amount of a highly accurate incentive.
  • the input of the calculation period is received via the input unit 32.
  • the control apparatus 30 may be configured to receive the planned state information and the planned period of the equipment.
  • “Scheduled state information” is information indicating the state of the equipment that is scheduled in the scheduled period.
  • the schedule state information includes an operation schedule indicating the operating rate and date / time information of the air conditioner.
  • Scheduled state information is received via the communication unit 31 or the input unit 32. After the scheduled state information and the scheduled period are received, the same operation as described above is performed. That is, the predicted amount calculation unit 36a classifies the state of the equipment in the scheduled period into a plurality of patterns for each predetermined time interval, and calculates the predicted amount of incentive based on each classified pattern and the expected value. .
  • control device 30 can set the schedule state information of the equipment in the scheduled period, the user can determine the validity of the demand response control in the scheduled period.
  • the incentive prediction amount is presented by simply indicating the expected incentive amount in the future, but the incentive target amount is set and the number of days until reaching the target amount is presented. You may do. Specifically, first, the input unit 32 (target amount setting unit) accepts setting of a target amount of incentive. Subsequently, the calculation unit 36 (target day calculation unit) calculates “target days” indicating the number of days required to reach the target amount based on the predicted amount of incentives. Then, the output unit 33 (predicted amount presentation unit) presents the target number of days. Thereby, for example, “Up to 10,000 yen, another X1 days” is displayed.
  • control device 30 Since the control device 30 according to the modified example 1B presents the target number of days until the target amount of incentive is reached, the user can easily determine the validity of the control condition for demand response control.
  • control apparatus 30 which concerns on this embodiment may compare and show the incentive amount anticipated in the future and the past performance value as a presentation aspect of the incentive prediction amount.
  • the storage unit 34 (actual amount storage unit) stores the incentive actual amount given due to demand response control in association with the time information.
  • the calculation unit 36 (actual comparison amount calculation unit) extracts and extracts the incentive performance amount stored in the storage unit 34 based on time information after a predetermined time corresponding to the incentive prediction amount.
  • An “actual comparison amount” indicating a comparison between the actual amount of incentives and the predicted amount of incentives after a predetermined time is calculated.
  • the output unit 33 presents the actual comparison amount. For example, the control device 30 displays “X2% increase from the same month last year” or the like.
  • control device 30 Since the control device 30 according to the modified example 1C presents a comparison between the actual amount of incentives and the predicted amount of incentives after a predetermined time, the user can easily determine the validity of the control conditions for demand response control. .
  • the control device 30 may compare and present the already predicted actual value of the incentive prediction amount with the past actual value.
  • the storage unit 34 (actual amount storage unit) stores the incentive actual amount given due to demand response control in association with the time information. Furthermore, the storage unit 34 (prediction amount storage unit) stores the incentive prediction amount in association with the time information. Under such a premise, the calculation unit 36 (same time comparison amount calculation unit) calculates “same time comparison amount” indicating a comparison between the predicted amount and the actual amount having the same time information. Then, the output unit 33 (predicted amount presenting unit) presents the same time comparison amount. Thereby, for example, “X3 yen / time reduction as the difference between the expected amount and the actual amount” and “ ⁇ X4% as the error rate of the estimated amount” are displayed.
  • control device 30 according to the modified example 1D presents a comparison between the predicted amount and the actual amount having the same time information, the validity of the predicted amount presented by the incentive predicted amount presentation device can be verified.
  • the output unit 33 of the control device 30 is configured to present the control result of the DR control.
  • the presentation device 40 that presents the incentive prediction amount is separated from the control device 30.
  • the structure provided may be sufficient. With this configuration, the user can check the incentive prediction amount regardless of the installation location of the control device 30.
  • control device 30 may be connected to the facility device 20 via the network NW. Moreover, you may provide the presentation apparatus 40 which presents an incentive prediction amount separately from the control apparatus 30.
  • FIG. 9 each device may have a cloud configuration via the Internet or the like. Since the presentation device 40 is connected to each device via a network, the user can check the control result of the DR control at an arbitrary location.
  • this invention is not limited to the said embodiment as it is.
  • the present invention can be embodied by modifying the components without departing from the scope of the invention in the implementation stage.
  • the present invention can form various inventions by appropriately combining a plurality of constituent elements disclosed in the above embodiments. For example, some components may be deleted from all the components shown in the embodiment. Furthermore, constituent elements may be appropriately combined in different embodiments.

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Abstract

Selon la présente invention, un dispositif de commande (30) est utilisé pour un système de gestion de consommation d'énergie dans lequel une prime est donnée à un utilisateur d'un appareil d'installation (20) lorsque l'appareil d'installation (20) réalise, dans une condition de commande prédéterminée, une commande de réponse à une demande de réglage d'une consommation d'énergie en réponse à une requête de commande. Le dispositif de commande (30) présente un montant de prédiction de prime et comprend une unité de stockage (34), une unité de calcul de montant de prédiction (36a), et une unité de sortie (33). L'unité de stockage (34) stocke une valeur probable associée à un montant de prédiction de prime, en association avec un modèle classifié pour chaque intervalle de temps prédéterminé en fonction de l'état de l'appareil d'installation (20). L'unité de calcul de montant de prédiction (36a) calcule le montant de prédiction de prime après l'écoulement du temps prédéterminé, sur la base du modèle de l'état de l'appareil d'installation (20) et de la valeur probable. Ensuite, l'unité de sortie (33) présente le montant de prédiction de la prime.
PCT/JP2016/064438 2015-05-19 2016-05-16 Dispositif de présentation de montant de prédiction de prime WO2016186069A1 (fr)

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KR102568486B1 (ko) * 2019-08-29 2023-08-21 주식회사 케이티 수요 반응(dr)에 대한 가이드 정보를 제공하는 서버, 방법 및 컴퓨터 프로그램

Citations (2)

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Publication number Priority date Publication date Assignee Title
JPH11178247A (ja) * 1997-12-11 1999-07-02 Matsushita Electric Ind Co Ltd 消費電力管理システム
JP2014096946A (ja) * 2012-11-09 2014-05-22 Toshiba Corp 電力抑制型蓄電蓄熱最適化装置、最適化方法及び最適化プログラム

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH11178247A (ja) * 1997-12-11 1999-07-02 Matsushita Electric Ind Co Ltd 消費電力管理システム
JP2014096946A (ja) * 2012-11-09 2014-05-22 Toshiba Corp 電力抑制型蓄電蓄熱最適化装置、最適化方法及び最適化プログラム

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