WO2016166836A1 - Appareil de gestion d'équipement, système de gestion d'équipement, procédé de gestion d'équipement, et programme - Google Patents

Appareil de gestion d'équipement, système de gestion d'équipement, procédé de gestion d'équipement, et programme Download PDF

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Publication number
WO2016166836A1
WO2016166836A1 PCT/JP2015/061576 JP2015061576W WO2016166836A1 WO 2016166836 A1 WO2016166836 A1 WO 2016166836A1 JP 2015061576 W JP2015061576 W JP 2015061576W WO 2016166836 A1 WO2016166836 A1 WO 2016166836A1
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WIPO (PCT)
Prior art keywords
storage battery
power
discharge
plan
charging
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PCT/JP2015/061576
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English (en)
Japanese (ja)
Inventor
雄喜 小川
矢部　正明
一郎 丸山
聡司 峯澤
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三菱電機株式会社
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Priority to PCT/JP2015/061576 priority Critical patent/WO2016166836A1/fr
Priority to JP2017512120A priority patent/JP6403875B2/ja
Publication of WO2016166836A1 publication Critical patent/WO2016166836A1/fr

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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/34—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering
    • H02J7/35—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering with light sensitive cells

Definitions

  • the present invention relates to a device management apparatus, a device management system, a device management method, and a program.
  • Patent Document 1 describes a storage battery utilization system for effectively using a private power generation device, nighttime power, and a storage battery.
  • the storage battery utilization system described in Patent Document 1 is an appropriate charging of a storage battery that supplies power to a building's in-house wiring based on the expected power consumption of a consumer on the target day and the predicted power generation of a private power generation device.
  • the amount of electric power is calculated, and charging is controlled so that the electric power of the appropriate charging electric energy obtained by the calculation is charged to the storage battery during the previous day.
  • the expected power consumption of a target day is calculated by calculating the time transition of the power consumption of the target day and summing up the calculation results. Further, according to Patent Document 1, the appropriate charging power amount is the night power so that the total value of the predicted power generation amount of the next day and the stored power amount of the storage battery at the end of the day is substantially equal to the predicted power consumption amount of the next day. Is selected as the amount of charging power for the storage battery.
  • the efficiency of power consumption using storage batteries may be poor.
  • the efficiency includes energy efficiency and economic efficiency.
  • the energy loss when supplying power from a storage battery tends to increase as the power supplied from the storage battery decreases.
  • the power stored in the storage battery is supplied as much as possible.
  • the energy loss is relatively large as described above. Therefore, in the storage battery utilization system described in Patent Document 1, energy efficiency may be deteriorated.
  • the predicted power consumption for calculating the appropriate charge power amount in Patent Document 1 includes the expected power consumption during the day and night at the consumer. Therefore, in the storage battery utilization system described in Patent Document 1, the storage battery is discharged by allocating power stored in the storage battery not only to daytime power consumption but also to nighttime power consumption. According to this, for example, when the electricity bill at night is cheaper than the electricity bill during the day, when the power released from the storage battery is allocated to the power consumption at night, due to energy loss due to charging / discharging of the storage battery, etc. There is a possibility that the daily electricity bill will be high. Thus, in the storage battery utilization system described in Patent Document 1, there is a possibility that the economic efficiency is deteriorated.
  • the present invention has been made to solve the above-described problems, and an object of the present invention is to provide a device management apparatus and the like that can improve the efficiency of power consumption using a storage battery.
  • the device management apparatus includes: For at least one of the period in which the power discharged from the storage battery is predicted to be smaller than a predetermined discharge threshold and the period in which the electricity bill is included in a time zone cheaper than the predetermined power purchase threshold, A discharge plan unit for determining a discharge plan of the storage battery, for which discharge from the storage battery is prohibited; A discharge control unit for controlling discharge from the storage battery according to the determined discharge plan.
  • the discharge plan of the storage battery in which the discharge from the storage battery is prohibited is determined.
  • a storage battery is controlled according to the discharge plan.
  • the energy loss when discharging power from the storage battery tends to increase as the power discharged from the storage battery decreases. Therefore, when a discharge plan in which discharge from the storage battery is prohibited for a period in which the electric power discharged from the storage battery is predicted to be smaller than a predetermined discharge threshold is determined, this reduces energy loss when discharging from the storage battery. be able to. As a result, energy efficiency can be improved.
  • FIG. Device management system 100 according to Embodiment 1 of the present invention is a HEMS (Home Energy Management System) for managing energy consumption in a house.
  • HEMS Home Energy Management System
  • a house is an example of a demand place predetermined as a place used by a consumer of electric power.
  • the demand place may be, for example, a facility or a building, and may be one or a plurality of areas partitioned in the building.
  • a resident of a house is an example of a user who uses a demand place, and in the present embodiment, it is assumed that the resident is a family composed of three persons: a father, a mother, and a child.
  • the number of users may be one or more.
  • the device management system 100 measures a plurality of home appliances 101 as an electric device installed in a house, a power generation system 102, a power storage system 103, a heat storage type device 104, power consumption in the house, and the like.
  • An operation terminal 109 for operating the device 107 and a mobile terminal 110 carried by the user are provided.
  • Each of the plurality of home appliances 101, the power generation system 102, the power storage system 103, the heat storage type device 104, the power measuring device 105, and the operation terminal 109 are connected via a home network 111 as shown in FIG.
  • the device management apparatus 107 is communicably connected.
  • the weather server 106, the cloud server 108, and the portable terminal 110 are communicably connected to the device management apparatus 107 via a wide area network 112 such as the Internet.
  • Each of the home network 111 and the wide area network 112 may be constructed by wire, wireless, or a combination thereof.
  • FIG. 1 Suppose that there are two household electrical appliances 101 according to the present embodiment, as shown in FIG. 1, which are an air conditioner and a refrigerator, respectively.
  • the device management system 100 will be described using an example in which each of the above-described two types of home appliances 101 is provided. However, as long as the device management system 100 is one or more, how many home appliances are provided.
  • a device 101 may be provided.
  • the type of home appliance 101 provided in the device management system 100 is not limited to an air conditioner or a refrigerator, but may be one or more of a television receiver, an IH (Induction Heating) cooking heater, lighting, and the like.
  • the device management system 100 may include a plurality of home appliances 101 of the same type.
  • the device management system 100 may include, for example, a sensor that measures temperature, humidity, illuminance, and the like for the device management apparatus 107 to control an air conditioner, lighting, and the like as home appliances.
  • the power generation system 102 typically includes a power generation module, a power conditioner that converts power obtained by power generation of the power generation module into power consumed by an electrical device, and the like.
  • the power generation module according to the present embodiment is assumed to be a solar power generation module that receives sunlight to generate power.
  • the device management system 100 may include a plurality of power generation systems 102 or may not include the power generation systems 102.
  • the power storage system 103 is typically composed of a stationary storage battery, a power conditioner (power conversion device) that converts the power charged in or discharged from the storage battery, and the like.
  • the power storage system 103 is charged or discharged according to, for example, a charge / discharge plan determined by the device management apparatus 107.
  • the power storage system 103 may be an electric vehicle charging / discharging system. In this case, the electric vehicle and the power conditioner may be connected to each other via a charging connector so as to be charged / discharged.
  • the device management system 100 may be provided with a plurality of power storage systems 103. When a plurality of power storage systems 103 are provided, the power storage systems 103 may be charged or discharged according to a charge / discharge plan determined by the device management apparatus 107 for each.
  • all of the electrical devices are connected to the electrical wiring in the house.
  • the electrical wiring in the house is also connected to the commercial power source 113, and is configured to be able to purchase electricity (purchase power) and sell (electricity sale) electricity generated by the power generation system 102, for example.
  • Each of the household electrical appliances 101 operates with electric power supplied from any one or more of the commercial power supply 113, the power generation system 102, and the power storage system 103 through the electrical wiring in the house.
  • the storage battery included in the power storage system 103 is charged with power supplied from one or both of the commercial power supply 113 and the power generation system 102 through the electrical wiring in the house.
  • the heat storage type device 104 is an electric water heater that boils and stores hot water using electric power supplied through electric wiring and supplies the stored hot water according to a user's request.
  • the thermal storage device 104 may be an electrical device that stores electric power by converting it into heat, and is not limited to an electric water heater, and may be, for example, a refrigerator, a water-cooled air conditioner, or the like.
  • the power measuring apparatus 105 acquires current data indicating the value of the current flowing through each branch line from the current sensor CT provided in each branch line of the electrical wiring in the house.
  • the current sensor CT is provided on each branch line of the electrical wiring in the house, whereby the current flowing to each of the home appliances 101, the current flowing from the power generation system 102, and the power storage system 103 The current flowing to or from the power storage system 103 and the current flowing to the heat storage type device 104 can be individually measured.
  • the power measuring device 105 is configured to generate power in the power generation system 102, charge / discharge amount in the power storage system 103, power consumption in the regenerative device 104, The power consumption amount, the power sale amount, the power purchase amount, etc. of each of the home appliances 101 are measured.
  • the weather server 106 is, for example, a server that provides weather information so that weather information can be generally used via the wide area network 112.
  • the weather information includes temperature, weather, and wind power.
  • the weather information is not limited to the above-described example, and may include, for example, one or more of wind direction, sunshine duration, and the like.
  • the device management apparatus 107 includes a control unit 121 including a model determination unit 114, a power consumption prediction unit 115, a generated power prediction unit 116, a discharge candidate determination unit 117, a charge candidate determination unit 118, a control plan unit 119, and a plan execution unit 120.
  • the communication unit 122 and the storage unit 123 are provided.
  • the model determination unit 114 determines a model formula for obtaining a predicted value of power consumption in a house.
  • the model determination unit 114 is based on the history of power consumption in the house, the types of events the user has performed in the past (for example, going out, going to work, shopping, eating out, visitors, going to school, traveling, etc.), past weather information, and the like. Determine the model formula.
  • This model formula is for obtaining a predicted value of power consumption based on an event executed by the user, and is represented by the following formula (1), for example.
  • PE is a predicted value of power consumption, for example, a predicted value of daily power consumption, a predicted value of power consumption per unit time (for example, one hour, etc.) determined as appropriate.
  • X1 to Xn are parameters employed for obtaining a predicted value of power consumption, such as weather, temperature, and sunshine hours.
  • parameters employed in the model formula for example, a parameter having a correlation index such as a correlation coefficient larger than a predetermined correlation threshold is selected from a plurality of parameter candidates.
  • ⁇ 1 to ⁇ n are coefficients of variables X1 to Xn, respectively, and are determined by the model determination unit 114 by regression analysis or the like.
  • U corresponds to the power consumption when the user is not in the house, such as standby power of the electric device and the power consumption of the electric device that is always operating.
  • E corresponds to the power consumption that changes according to the event executed by the user, and is the degree of influence of the event executed by the user.
  • E is a correction according to one or a combination of the number of users staying at home (for example, the number of people who stayed in a house in unit time), the staying time (for example, the total time each person stays at a house in unit time), etc.
  • the value is determined by the model determination unit 114.
  • the power consumption prediction unit 115 calculates a predicted value of power consumption in a house.
  • the power consumption prediction unit 115 calculates a predicted value of daily power consumption, a predicted value of power consumption per unit time (for example, 1 hour, etc.) determined as appropriate.
  • the power consumption prediction unit 115 calculates the predicted value of power consumption.
  • the power consumption prediction unit 115 is determined by the model determination unit 114. Based on the model formula, the parameter value corresponding to the adopted parameter, the schedule of the event performed by the user, etc., the predicted value of the power consumption in the house is calculated.
  • the generated power prediction unit 116 predicts the amount of power generated by the power generation system 102.
  • the power generation amount is predicted based on, for example, weather information (weather, temperature, sunshine duration, etc.) acquired from the weather server 106.
  • the generated power prediction unit 116 predicts the power generation amount based on a model formula that is predetermined for predicting the power generation amount including weather information as a parameter.
  • the power generation system 102 is a wind power generation system, wind power, wind direction, and the like may be employed as weather information that is a parameter of a model formula for predicting the power generation amount.
  • the discharge candidate determination unit 117 determines a candidate for a period for discharging from the storage battery to supply power consumption based on the predicted value of power consumption predicted by the power consumption prediction unit 115. For example, the discharge candidate determination unit 117 determines all periods in which power consumption in a house is predicted (that is, all periods in which the predicted value of power consumption is positive) as candidates for periods for discharging from the storage battery.
  • the discharge candidate determination unit 117 selects a candidate for a period for discharging from the storage battery based on the predicted value of power consumption and the predicted value of generated power. decide. In this case, for example, the discharge candidate determination unit 117 is positive for all periods in which the predicted power consumption is greater than the predicted generated power (that is, the value obtained by subtracting the predicted power generation value from the predicted power consumption value). A certain period) is determined as a candidate period for discharging from the storage battery.
  • the charging candidate determination unit 118 is configured to charge the storage battery included in the power storage system 103 based on the predicted power consumption predicted by the power consumption prediction unit 115 and the generated power predicted by the generated power prediction unit 116. Determine candidates. For example, the charging candidate determination unit 118 determines all periods in which the power (surplus power) obtained by subtracting the predicted power consumption value from the predicted power generation value is positive as candidates for charging the storage battery.
  • the charging candidate determination unit 118 sets the power sale price and the value considering the charge / discharge loss to the power purchase price in a time zone where the electricity price (power purchase price) is cheaper than other time zones.
  • a time zone in which the latter value is larger than the former value and the surplus power is positive may be determined as a candidate for a period for charging the storage battery. For example, when the electricity purchase price is 20 yen / kWh and the charge / discharge efficiency is 0.8 when the electricity rate is cheaper than other time zones, the charge candidate determining unit 118 has a power sale price of 25.
  • the control plan unit 119 is a processing unit that determines various control plans, and as shown in FIG. 2, a discharge plan unit 119a that determines a plan (discharge plan) related to the discharge of the storage battery included in the power storage system 103, A charging plan unit 119b that determines a plan (charging plan) related to charging of a storage battery included in the system 103, a heat storage planning unit 119c that determines a plan (heat storage plan) related to heat storage in the heat storage type device 104, and a plan related to the sale of surplus power A power sale planning unit 119d that determines (power sale plan).
  • the discharge planning unit 119a includes a period and an electricity charge that are predicted to be that the power discharged from the storage battery included in the power storage system 103 is smaller than a predetermined discharge threshold among the discharge period candidates determined by the discharge candidate determination unit 117. Is determined to be a discharge plan in which discharge from the storage battery is prohibited for a period included in a time zone cheaper than a predetermined power purchase threshold.
  • the storage efficiency of the storage battery generally changes depending on the magnitude of the electric power to be discharged. This is due to energy loss in the power conditioner, deterioration of the storage battery, and the like. Therefore, when relatively little electric power is supplied from the storage battery, energy loss increases and energy efficiency decreases. By prohibiting discharge from a storage battery having a power smaller than the discharge threshold, energy loss can be reduced and energy efficiency can be improved.
  • the discharge threshold may be determined as output power corresponding to a predetermined conversion efficiency.
  • the discharge threshold value may be determined by the discharge planning unit 119a based on the deterioration information of the storage battery.
  • Deterioration information is, for example, storage battery installation means, charge / discharge days, usage history, full charge information, and the like.
  • the deterioration information may be acquired from the power storage system 103 and stored in the storage unit 123.
  • the power supplied from the storage battery is higher than the power supplied from the commercial power supply 113 Can be prevented. Therefore, the electricity bill can be suppressed as compared with discharging from the storage battery during that period. As a result, economic efficiency can be improved.
  • the electricity charges that differ from time to time are often determined by the contract between the house and the power company. If the electricity bill at night (for example, 23:00 to 24:00, 0:00 to 5:00) is cheaper than the daytime (for example, 5:00 to 23:00), purchase electricity
  • the threshold value for example, a nighttime electricity charge, that is, an electricity charge during a time period where the electricity charge is cheaper than other time periods may be employed.
  • the charging plan unit 119b determines a charging plan for a storage battery included in the power storage system 103.
  • the charging plan unit 119b stores the power based on whether or not the surplus power is predicted to be smaller than a predetermined charging threshold value and whether or not the electricity rate is higher than a predetermined power selling threshold value.
  • a charging plan for a storage battery included in the system 103 is determined.
  • the charging plan unit 119b is configured such that the surplus power is not smaller than a predetermined charging threshold among the charging period candidates determined by the charging candidate determination unit 118, and the electricity rate is determined in advance. For a period that is not higher than the power sale threshold value, a charging plan including not allocating surplus power to charging a storage battery included in the power storage system 103 is determined.
  • the charging plan unit 119b determines a charging plan in which the surplus power does not exceed the charging upper limit value.
  • the charging upper limit value may be determined in advance so that excessive power is not input to the storage battery included in the power storage system 103. For example, when a design maximum value of power that can be supplied to the storage battery included in the power storage system 103 is adopted. Good.
  • the charging plan unit 119b determines a charging plan by purchasing power as necessary.
  • the charging plan unit 119b includes a period in which the surplus power is predicted to be smaller than a predetermined charging threshold and a power price determined in advance, among the charging period candidates determined by the charging candidate determination unit 118. For a period included in a time period higher than the power threshold, a charging plan including not allocating surplus power to charging a storage battery included in the power storage system 103 is determined.
  • the conversion efficiency of the storage battery generally changes in accordance with the magnitude of the charging power (electric power input to the storage battery for charging) during charging as in the above-described discharging. Therefore, when relatively little electric power is supplied to the storage battery, energy loss increases and energy efficiency may be lowered. By not supplying power smaller than the charging threshold to the storage battery, energy loss can be reduced and energy efficiency can be improved.
  • the charging threshold may be determined as charging power corresponding to a predetermined conversion efficiency, similarly to the discharging threshold.
  • the charging threshold may be determined by the charging planning unit 119b based on the deterioration information of the storage battery.
  • Electricity that can be sold at a high rate is allocated to charging the storage battery by not allocating surplus power to charging the storage battery for a period that is included in a time zone in which the electricity rate is higher than a predetermined power selling threshold. Can be prevented. Therefore, it is possible to reduce the electricity charge compared to charging the storage battery during that period. As a result, economic efficiency can be improved.
  • the charging plan unit 119b is a storage battery in which the power storage system 103 includes surplus power for a period in which surplus power is equal to or greater than a predetermined charging threshold among the charging period candidates determined by the charging candidate determination unit 118. Determine a charging plan that includes allocating to the charging.
  • the heat storage planning unit 119c determines a control plan (heat storage plan) of the heat storage type device 104.
  • the heat storage plan is a plan for boiling the hot water of the heat storage type device 104, for example.
  • the heat storage planning unit 119c often boiles the required amount of hot water on that day in a time zone where the electricity bill is cheaper than other time zones.
  • the heat storage planning unit 119c determines a control plan for the heat storage type device that supplies the surplus power to the heat storage type device 104. Thereby, it can prevent that the surplus electric power which is not charged to the storage battery with which the electrical storage system 103 is equipped is wasted, and can improve energy efficiency.
  • the power sale planning unit 119d determines a power sale plan.
  • the power sale planning unit 119d according to the present embodiment determines a power sale plan for selling the surplus power when the surplus power is smaller than the charging threshold. Thereby, surplus power that is not charged in the storage battery included in the power storage system 103 can be prevented from being wasted, energy efficiency can be improved, and economic efficiency can be improved by selling power.
  • the plan execution unit 120 executes each control plan determined by the control plan unit 119. Specifically, as shown in FIG. 4A, the plan execution unit 120 includes a discharge control unit 120a, a charge control unit 120b, a heat storage control unit 120c, and a power sale control unit 120d.
  • the discharge controller 120a controls the discharge from the storage battery included in the power storage system 103 according to the discharge plan determined by the discharge plan unit 119a.
  • the charging control unit 120b controls charging of the storage battery included in the power storage system 103 according to the charging plan determined by the charging planning unit 119b.
  • the heat storage control unit 120c controls the heat storage type device 104 in accordance with the heat storage plan determined by the heat storage planning unit 119c.
  • the power sale control unit 120d executes control for selling surplus power in accordance with the power sale plan determined by the power sale planning unit 119d.
  • the communication unit 122 determines that the storage battery is not charged during a period in which the storage battery is not charged as a result of controlling the storage battery included in the power storage system 103 in accordance with the charging plan determined by the charging plan unit 119 b. For example, display data to be displayed on the display unit included in the operation terminal 109 and the portable terminal 110) is transmitted to the terminal device.
  • the communication unit 122 determines that the storage battery is not discharged during a period in which the storage battery is not discharged as a result of controlling the storage battery included in the power storage system 103 according to the discharge plan determined by the discharge planning unit 119a. Display data to be displayed on the display unit is transmitted to the terminal device.
  • the storage unit 123 stores various data such as data referred to by the processing units 114 to 122 and data output from the processing units 114 to 122.
  • the storage unit 123 includes history data 123a including various types of history information, schedule data 123b indicating a user's schedule, and model data 123c indicating a model formula for predicting power consumption.
  • plan data 123d including a discharge plan, a charge plan, a heat storage plan, and a power sale plan are stored.
  • the history data 123a includes the history of power consumption in a house, information that associates the type of event that the user has performed in the past with the time when the event was performed (past event information), past date and time. Information associated with weather information (past weather information) and the like.
  • the history of power consumption is acquired by the communication unit 122 from the power measurement device or each electric device and stored in the storage unit 123.
  • the past event information is a schedule that has already been completed among schedules indicated by schedule data 123b described later.
  • Past weather information is acquired by the communication unit 122 from the weather server 106 and stored in the storage unit 123.
  • the schedule data 123b is data indicating a user's schedule, and for example, an event type, an event member, and an event time zone are associated with each other.
  • the history data 123a includes “shopping” as the event type, “mother” as the member who goes shopping, and “July 1, 2014, 14:00 to 16:00” as the time zone for the event. Further, for example, the history data 123a includes “Travel” as the event type, “Father, mother and child” as the members to travel, and “July 2, 2014 to July 5, 2014” as the time zone for the event. Day (all day) ".
  • Model data 123c indicates a model formula determined by the model determination unit 114.
  • the model data 123c is stored in the storage unit 123 by the model determination unit 114.
  • the plan data 123d includes a discharge plan determined by the discharge plan unit 119a, a charge plan determined by the charge plan unit 119b, a heat storage plan determined by the heat storage plan unit 119c, and a sales plan determined by the power sale plan unit 119d.
  • the discharge plan is stored in the storage unit 123 by the discharge planning unit 119a.
  • the charging plan is stored in the storage unit 123 by the charging plan unit 119b.
  • the heat storage plan is stored in the storage unit 123 by the heat storage planning unit 119c.
  • the power sale plan is stored in the storage unit 123 by the power sale planning unit 119d.
  • the communication unit 122 may acquire life log information or the like from a server (not shown) via the wide area network 112, and the storage unit 123 may store the life log information acquired by the communication unit 122.
  • control unit 121 includes a processor
  • the communication unit 122 includes a communication interface
  • the storage unit 123 includes a flash memory.
  • the control unit 121 executes, for example, a software program (program) stored in the storage unit 123, thereby causing the model determination unit 114, the power consumption prediction unit 115, the generated power prediction unit 116, the discharge candidate determination unit 117, and the charge candidate.
  • the functions of the determination unit 118 and the control plan unit 119 are exhibited, and each process described later is executed.
  • the present invention may be realized as a program or a storage medium on which the program is recorded.
  • the operation terminal 109 communicates with the device management apparatus 107 via the home network 111 so that the user inputs to the device management apparatus 107 and the user confirms the setting contents in the device management apparatus 107.
  • Terminal device Specifically, for example, when the operation terminal 109 transmits information input to the operation terminal 109 by the user to the device management apparatus 107, the user can input the information to the device management apparatus 107. Also, for example, when the operation terminal 109 receives information including setting contents from the device management apparatus 107, the user displays the contents of the received information on the screen of the operation terminal 109, so that the user can set the information on the device management apparatus 107. The contents can be confirmed.
  • the operation terminal 109 is, for example, a tablet terminal or a smartphone installed with a software program for functioning as a user interface of the device management apparatus 107.
  • the user sets the schedule data 123b in the device management apparatus 107 via the operation terminal 109.
  • the user may select a model formula used for power consumption prediction from a plurality of model formulas prepared in advance via the operation terminal 109.
  • the cloud server 108 for example, periodically communicates with the device management apparatus 107 via the wide area network 112, so that the cloud server 108 is the same as part or all of the data 123a to 123d stored in the storage unit 123 of the device management apparatus 107. Data is stored in a storage unit (not shown).
  • the mobile terminal 110 is a terminal device for the user to input to the device management apparatus 107 and for the user to check the setting contents in the device management apparatus 107.
  • the portable terminal 110 enables user input and confirmation by communicating with the device management apparatus 107 via the wide area network 112.
  • the mobile terminal 110 is, for example, a smartphone in which a software program for causing it to function as a user interface of the device management apparatus 107 is installed.
  • the portable terminal 110 and the operation terminal 109 typically have the same functions except that they communicate with the device management apparatus 107 via the wide area network 112 or the home network 111.
  • Each of the operation terminal 109 and the mobile terminal 110 is an example of a terminal device having a display unit.
  • the operation terminal 109 or the portable terminal 110 that has acquired the above display data from the communication unit 122 displays the content indicated by the display data.
  • the device management apparatus 107 executes device management processing for managing an electric device including a storage battery, as shown in FIGS. 5A and 5B.
  • the device management process is executed periodically, for example, and in this embodiment, it is executed on a regular basis every day.
  • the power consumption prediction unit 115 calculates a predicted value of power consumption in the house (step S101). For example, the power consumption prediction unit 115 calculates a predicted value of power consumption per day for each time zone (every hour).
  • the power consumption prediction unit 115 acquires a history of power consumption included in the history data 123a (step S110).
  • the power consumption prediction unit 115 acquires the power consumption for each time period in the latest predetermined period (for example, one month).
  • the power consumption prediction unit 115 acquires past event information included in the history data 123a (step S111). For example, the power consumption prediction unit 115 acquires event information for each time period in the most recent month.
  • the power consumption prediction unit 115 acquires past weather information included in the history data 123a as a past parameter corresponding to the parameter candidate (step S112). For example, the power consumption prediction unit 115 acquires weather information for each time period in the most recent month.
  • the power consumption prediction unit 115 executes steps S114 to S117 for each parameter candidate (loop A; step S113).
  • the power consumption prediction unit 115 calculates a correlation coefficient between the parameter candidate to be processed and the power consumption (step S114). For example, a correlation coefficient between a parameter candidate to be processed and power consumption for each time zone may be calculated.
  • the power consumption prediction unit 115 determines whether or not the correlation coefficient is larger than the correlation threshold (step S115). For example, it is determined whether each correlation coefficient for each time zone is larger than the correlation threshold.
  • the power consumption prediction unit 115 excludes the parameter candidate to be processed from the parameters of the model formula (step S116).
  • the power consumption predicting unit 115 employs the parameter candidate to be processed as a parameter of the model formula (step S117).
  • step S113 When the processing of steps S114 to S117 is executed for all parameter candidates, loop A (step S113) is terminated.
  • step S114 to step S117 are repeatedly executed for each parameter for each time zone, thereby determining a parameter group for each time zone to be used in the model formula.
  • the correlation coefficient is an example of an index (correlation index) that indicates the strength of the correlation between the parameter candidate and the power consumption
  • the correlation index includes, for example, a neural network model such as a self-organizing map. The value obtained by may be adopted.
  • the power consumption prediction unit 115 determines the coefficient coefficients ⁇ 1 to ⁇ n determined to be adopted and the power consumption u in the absence (step S118).
  • the coefficients ⁇ 1 to ⁇ n and the power consumption u in the absence are determined by, for example, regression analysis. Also, the degree of influence is determined according to the number of users at home, time at home, and the like. Thereby, a model formula for predicting power consumption is determined, and the determined model formula is stored in the storage unit 123 as model data 123c.
  • the power consumption prediction unit 115 acquires weather information on a predicted day from the weather server 106 via the communication unit 122. In addition, the power consumption prediction unit 115 acquires schedule data 123b for the day to be predicted from the storage unit 123. The acquired weather information and the contents of the schedule data 123b are applied to the model formula determined in step S118. Thereby, the power consumption prediction unit 115 calculates a predicted value of power consumption (step S119).
  • the degree of influence E is determined as a value corresponding to the calculated number of people at home, time at home, and the like, for example, from the schedule data 123b.
  • the power consumption is predicted in consideration of the user's schedule indicated by the schedule data 123b.
  • the power consumption can be accurately predicted by predicting the power consumption by such a method.
  • FIG. 7 An example of the predicted power consumption value thus obtained is shown in FIG.
  • a bar graph 131 extending downward indicates a predicted value of power consumption for each time zone.
  • the thick lines from 0:00 to 5:00 and 23:00 to 24:00 indicate the time periods when the electricity charges are cheaper than other time periods.
  • the power consumption prediction unit 115 returns to the device management process shown in FIG. 5A.
  • the generated power prediction unit 116 acquires weather information on the day to be predicted.
  • the weather information may be acquired from the weather server 106 via the communication unit 122, or may be acquired from the power consumption prediction unit 115 that acquired the weather information in order to calculate a predicted value of power consumption in step S119.
  • the generated power prediction unit 116 calculates a predicted value of power generated by the power generation system 102 (step S102).
  • the predicted value of the generated power may be predicted for each time zone.
  • FIG. 7 shows an example of the predicted power generation value obtained in this way.
  • the bar graph 132 extending upward indicates the predicted value of the generated power for each time zone.
  • the discharge candidate determination unit 117 determines a discharge period candidate (step S103). For example, the discharge candidate determination unit 117 determines all the time zones in which the predicted power consumption value calculated in step S101 is greater than the predicted power generation value calculated in step S102 as discharge period candidates.
  • the discharge candidate determination unit 117 calculates a predicted value of the discharge amount in each of the discharge period candidates (step S104).
  • the predicted value of the discharge amount is obtained as a value obtained by subtracting the predicted value of generated power from the predicted value of power consumption for each candidate discharge period.
  • Examples of discharge period candidates and predicted values of the respective discharge amounts are shown in FIG.
  • a bar graph 133 indicated by a dotted line extending downward indicates a predicted value of the discharge amount.
  • a bar graph 131 extending below the thin solid line indicates the same predicted power consumption value as in FIG. 7, and a bar graph 132 extending above the thin solid line indicates the same predicted power generation value as in FIG.
  • the discharge period candidates are 0:00 to 8:00 and 15:00 to 24:00.
  • the discharge planning unit 119a executes a discharge plan determination process (step S105) for determining a discharge plan.
  • the discharge planning unit 119a executes the processing of steps S122 to S126 for each candidate for the discharge period (loop B; step S121).
  • the discharge planning unit 119a determines whether or not the predicted discharge amount calculated in step S104 is smaller than the discharge threshold and whether or not the electricity bill is lower than the power purchase threshold for the discharge period candidate to be processed. (Step S122).
  • the discharge planning unit 119a causes the power storage system 103 to perform the discharge period to be processed.
  • the discharge plan which does not discharge from the storage battery with which it comprises is determined (step S123).
  • the discharge planning unit 119a determines the discharge amount calculated in step S104. It is determined whether or not the predicted value is greater than or equal to the discharge upper limit value (step S124).
  • the discharge planning unit 119a determines a discharge plan to be discharged with the discharge upper limit value (step S125). Thereby, the output power at the time of discharge can be suppressed to the discharge upper limit value.
  • excessive output power at the time of discharge may deteriorate the storage battery, but this can prevent deterioration of the storage battery due to output of excessive power.
  • the discharge planning unit 119a determines a discharge plan for discharging the power of the predicted value of the discharge amount (step S126).
  • the discharge plan is a period during which no discharge from the storage battery is performed. Further, since the predicted value 133b of the discharge amount from 6:00 to 7:00 is equal to or higher than the discharge upper limit value, the discharge is suppressed to the discharge upper limit value. As a result, a discharge plan as shown in FIG. 10 is determined. In the figure, a bar graph 134 indicated by a dotted line extending downward indicates a discharge plan. That is, the discharge plan indicates a planned value of discharge for each time zone.
  • the charge candidate determination unit 118 determines a charge period candidate as illustrated in FIG. 5B (step S106). For example, the charging candidate determination unit 118 determines all the time zones in which the predicted value of the generated power calculated in step S102 is larger than the predicted value of power consumption calculated in step S101 as charging period candidates.
  • the charging candidate determination unit 118 calculates a predicted value (surplus power) of the charging amount in each charging period candidate (step S107).
  • the predicted value of the charge amount is obtained as a value obtained by subtracting the predicted value of power consumption from the predicted value of generated power for each candidate charging period.
  • Fig. 8 shows examples of charging period candidates and predicted values of the respective charging amounts.
  • a bar graph 135 indicated by a dotted line extending upward indicates a predicted value of the charge amount.
  • the charging period candidates are from 8:00 to 15:00.
  • the charging plan unit 119b executes a charging plan determination process (step S108) for determining a charging plan.
  • the charging plan unit 119b executes the processing of steps S132 to S137 for each candidate for the charging period (loop C; step S131).
  • the charge planning unit 119b determines whether or not the estimated charge amount calculated in step S107 is smaller than the charge threshold and whether or not the electricity bill is higher than the power sale threshold for the charge period candidate to be processed. (Step S132).
  • the charge planning unit 119b stores the power storage system for the charge period candidates to be processed.
  • the charge plan which does not charge the storage battery with which 103 is provided is determined (step S133).
  • the heat storage planning unit 119c determines a control plan for storing heat in the heat storage device 104, that is, a heat storage plan, by supplying surplus power to the heat storage device 104 (step S134).
  • the power sale planning unit 119d may determine a power sale plan for selling surplus power.
  • the charge planning unit 119b determines the charge amount calculated in step S107. It is determined whether the predicted value is greater than or equal to the charge upper limit value (step S135).
  • the charge plan unit 119b determines a charge plan to be charged with the charge upper limit value (step S136). Thereby, charging power can be suppressed to the charging upper limit value.
  • excessive input power at the time of charging may deteriorate the storage battery. This can prevent deterioration of the storage battery due to excessive power input.
  • the charging plan unit 119b determines a charge plan for charging the predicted charge amount power (step S137).
  • surplus power equal to or higher than the charging threshold value is assigned to charge the storage battery included in the power storage system 103, so that the power purchased from the commercial power source 113 can be reduced, and the economic efficiency can be improved.
  • the charging plan is a period in which the storage battery is not charged.
  • a charging plan as shown in FIG. 10 is determined.
  • a bar graph 136 indicated by a dotted line extending upward indicates a charging plan. That is, the discharge plan indicates a planned value of charging for each time zone.
  • the charging plan unit 119b determines a charging plan by power purchase (step S138). For example, when power is discharged from a storage battery included in the power storage system 103 according to the discharge plan, the amount of power that is insufficient for charging the surplus power is determined as the amount of power purchased from the commercial power supply 113. And the charging plan part 119b determines a charging plan so that the determined electric energy may be charged to a storage battery at the night when an electricity bill is cheaper than daytime, for example. As a result, it is possible to store and consume power in a time zone where the electricity rate is low, so that the electricity rate can be suppressed and economic efficiency can be improved.
  • the amount of power obtained by multiplying the amount of power short of a predetermined value may be determined as the amount of power purchased from the commercial power supply 113.
  • the charging plan unit 119b ends the charging plan determination process (step S108).
  • the plan execution unit 120 executes the discharge plan, the charge plan, and the heat storage plan determined in Step S105 and Step S108 (Step S109).
  • step S109 the discharge control unit 120a, the charge control unit 120b, and the heat storage control unit 120c of the plan execution unit 120 execute the following processing.
  • the discharge control unit 120a controls the discharge from the storage battery included in the power storage system 103 according to the discharge plan determined by executing the process of step S105.
  • the charging control unit 120b controls charging of the storage battery included in the power storage system 103 according to the charging plan determined by executing the process of step S108.
  • the heat storage control unit 120c controls the heat storage type device 104 in accordance with the heat storage plan determined by executing the process of step 134.
  • the plan execution unit 120 may execute the power sale plan in step S109.
  • the power sale control unit 120d may execute control for selling surplus power in accordance with the power sale plan determined by the power sale planning unit 119d.
  • the storage battery has a period in which the electric power discharged from the storage battery is predicted to be smaller than the discharge threshold and a period in which the electricity rate is included in a time period that is less expensive than other time periods.
  • the discharge plan of the storage battery is determined so as not to discharge from the battery.
  • energy efficiency can be improved by determining a discharge plan that does not discharge from the storage battery for a period in which the power discharged from the storage battery is predicted to be smaller than a predetermined discharge threshold. Therefore, it becomes possible to improve the energy efficiency regarding the consumption of the electric power using a storage battery.
  • the economic efficiency can be improved by determining a discharge plan that does not discharge from the storage battery for a period in which the electricity rate is included in a time zone that is cheaper than other time zones. Therefore, it is possible to improve the economic efficiency related to the power consumption using the storage battery.
  • the discharge from the storage battery is not performed only in one of the period in which the power discharged from the storage battery is predicted to be smaller than the discharge threshold and the period in which the electricity rate is included in a time period cheaper than other time periods.
  • the storage battery discharge plan may be determined.
  • a discharge plan that does not discharge from the storage battery is determined for a period in which the power discharged from the storage battery is predicted to be smaller than a predetermined discharge threshold, the energy efficiency can be improved as described above. Therefore, it becomes possible to improve the energy efficiency regarding the consumption of the electric power using a storage battery.
  • economic efficiency can be improved. Therefore, it is possible to improve the economic efficiency related to the power consumption using the storage battery.
  • the example in which the period for discharging from the storage battery is determined based on the predicted value of power consumption and the predicted value of power generation by the power generation system 102 has been described.
  • the user desires may be set as appropriate.
  • the use of the storage battery in consideration of a user's request etc. becomes possible by determining the candidate of a discharge period.
  • a candidate for a period for discharging from the storage battery is determined based on a predicted value of power consumption and a predicted value of power generation by the power generation system 102, so that the amount of power generated by the power generation system 102 is determined.
  • the device management system 100 includes the power generation system 102, it is possible to improve one or both of energy efficiency and economic efficiency related to power consumption using the storage battery. The same applies to determining candidates for the period for charging the storage battery.
  • the storage battery included in the power storage system 103 is controlled according to the charging plan determined by the charging plan unit 119b, and as a result, when the storage battery is not charged, the storage device is not charged. Displayed on the display unit.
  • the storage battery included in the power storage system 103 is controlled according to the discharge plan determined by the discharge planning unit 119a, and the battery is not discharged from the storage battery, the fact that the storage battery does not discharge is displayed on the display unit of the terminal device. The By displaying in this way, the user can know that the storage battery is not charged or discharged according to the determined charging plan or discharging plan.
  • the user can look at these displays and examine whether each threshold value (discharge threshold value, charge threshold value, power purchase threshold value, power sale threshold value) is appropriate. Can be used.
  • Modification 1 In the embodiment, an example in which the discharge threshold value and the charge threshold value are equal is given, but the discharge threshold value and the charge threshold value may be different. Further, for example, the charging threshold value may be zero, that is, not substantially set. Thereby, when the conversion efficiency with respect to the magnitude
  • Modification 2 In the embodiment, an example has been described in which both the discharge plan and the charge plan are determined, and the storage battery is controlled according to the determined discharge plan and charge plan. However, for example, only the discharge plan may be determined, and the discharge from the storage battery may be controlled according to the determined discharge plan. This also has the same effect as when the discharge plan is determined in the embodiment. Further, for example, only the charging plan may be determined, and charging of the storage battery may be controlled according to the determined charging plan. This also has the same effect as when the charging plan is determined in the embodiment.
  • the present invention can be suitably used for managing electric equipment including a storage battery.
  • 100 device management system 101 home appliance, 102 power generation system, 103 power storage system, 104 heat storage type device, 105 power measurement device, 106 weather server, 107 device management device, 109 operation terminal, 110 mobile terminal, 111 home network, 112 wide area Network, 114 model determination unit, 115 power consumption prediction unit, 116 generated power prediction unit, 117 discharge candidate determination unit, 118 charge candidate determination unit, 119 control plan unit, 120 plan execution unit, 121 control unit, 122 communication unit, 123 Storage unit, 119a discharge planning unit, 119b charge planning unit, 119c heat storage planning unit, 119d power sale planning unit.

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

Un appareil de gestion d'équipement (107) selon la présente invention comprend une unité de planification de commande (119) qui détermine une variété de plans de commande et une unité d'exécution de plan (120) qui effectue le plan de commande déterminé. Par exemple, l'unité de planification de commande (119) détermine un plan de décharge pour une batterie rechargeable dans lequel la décharge de la batterie rechargeable est empêchée pour au moins une période d'une période dans laquelle il est prévu que la puissance déchargée de la batterie rechargeable devienne inférieure à une valeur seuil de décharge prédéterminée et une période incluse dans une période lorsque les charges d'électricité sont moins coûteuses qu'un seuil d'achat d'énergie prédéterminé. En outre, l'unité d'exécution de plan (120) commande ensuite la décharge de la batterie rechargeable en accord avec le plan de décharge déterminé par l'unité de planification de commande (119).
PCT/JP2015/061576 2015-04-15 2015-04-15 Appareil de gestion d'équipement, système de gestion d'équipement, procédé de gestion d'équipement, et programme WO2016166836A1 (fr)

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JP2017512120A JP6403875B2 (ja) 2015-04-15 2015-04-15 機器管理装置、機器管理システム、機器管理方法及びプログラム

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