JP2017093189A - Storage battery management apparatus, gateway apparatus, storage battery management system, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To suppress the fluctuation of backward flow power.SOLUTION: A level determination unit 12 determines a power demand level indicating the degree of the power consumption of an electric device that is the object of power supply of the stored battery for each storage battery according to the operation data included in the electrical device operation data. A level prediction unit 15 predicts the power demand level in the first future period for each storage battery according to the power demand level stored in a storage unit 14. A surplus power prediction unit 16 predicts surplus power in the second future period according to the power data and the actual value and the predicted value of the weather condition stored in the storage unit 14. A schedule determination unit 17 creates a schedule indicating the operation of the storage battery in a third future period on the basis of the power demand level predicted by the level prediction unit 15 and the surplus power predicted by the surplus power prediction unit 16, and transmits the schedule to a gateway device via a communication unit 11.SELECTED DRAWING: Figure 5

Description

  The present invention relates to a storage battery management device, a gateway device, a storage battery management system, and a program for managing the operation of a storage battery.

  With the introduction of a renewable energy feed-in tariff system, surplus power generated in the renewable energy power generation system is made to flow backward to the power system of the power company, and the power company is actively buying power.

  If the power generated by a power generation system, such as a solar power generation system or a wind power generation system, where the amount of power generated varies greatly depending on weather conditions, the balance between power supply and demand becomes difficult to adjust, and the power system of the power company Output voltage and frequency may fluctuate.

  In order to level the power that flows backward, the power storage system disclosed in Patent Document 1 charges the power generated by the distributed power source in the light load time zone including nighttime, and the heavy load time zone including daytime. In addition, by discharging the stored power of the battery, the power corresponding to the load power is reversely flowed to the commercial power system. Moreover, in the home solar power generation system disclosed in Patent Document 2, surplus power during the day is stored in a storage battery, and the generated power is used for power consumption after sunset.

JP 2000-175360 A JP 2006-295090 A

  In a certain area, when there are a plurality of residences equipped with a photovoltaic power generation system and a storage battery, the power leveling technology disclosed in Patent Documents 1 and 2 uses the power that flows back to the power supply system from the plurality of residences. Variations may occur and the output voltage and frequency of the power company's power system may fluctuate.

  The present invention has been made in view of the above circumstances, and an object thereof is to suppress fluctuations in reverse power flow.

  In order to achieve the above object, a storage battery management apparatus according to the present invention supplies power to an electrical device and manages the operation of the storage battery charged by the power generated by a power generation system whose power generation amount varies depending on weather conditions. A management device, which includes an operation data acquisition unit, a power data acquisition unit, a weather information acquisition unit, a level determination unit, a level prediction unit, a surplus power prediction unit, and a schedule determination unit. The operation data acquisition unit acquires operation data including information indicating the operation results of the storage battery and information indicating the operation results of the electric device for at least one of the electric devices that are the target of power supply of the storage battery. To do. The power data acquisition unit acquires power data including a generated power record of the power generation system and a power consumption record of an electric device that receives power supply from the power generation system. The meteorological information acquisition unit acquires the actual value and the predicted value of the weather condition at the place where the power generation system is installed. A level determination part determines the power demand level which shows the grade of the power consumption of the electric equipment which is the object of the electric power supply of this storage battery for every storage battery from at least any one of operation data and the power consumption performance of an electric equipment. The level prediction unit predicts the power demand level in the first future period for each storage battery from the power demand level. The surplus power prediction unit predicts surplus power in the second future period from the power data and the actual and predicted values of weather conditions. The schedule determination unit determines whether the predicted power demand level is a threshold value at a time when surplus power is predicted to occur in a third future period included in a period in which the first future period and the second future period overlap. The storage battery to be charged with surplus power and the charging time of the storage battery are determined from the target storage batteries that have the following storage time, and a schedule indicating the operation of the storage battery in the third future period is created and output. .

  According to the present invention, for a storage battery that is charged with power generated by a power generation system, a storage battery that is charged with surplus power based on the prediction of the degree of power consumption of an electrical device that is the target of power supply of the storage battery, and the storage battery By determining the charging time of the storage battery, it is possible to suppress fluctuations in reverse power flow.

It is a block diagram which shows the structural example of the electric power system which concerns on Embodiment 1 of this invention. It is a figure which shows the example of arrangement | positioning of the storage battery management system which concerns on Embodiment 1. FIG. 3 is a block diagram illustrating a configuration example of a gateway device according to Embodiment 1. FIG. 6 is a diagram illustrating an example of operation data according to Embodiment 1. FIG. It is a figure which shows the structural example of the storage battery management apparatus which concerns on Embodiment 1. FIG. 6 is a diagram illustrating an example of electrical device operation data stored in a storage unit according to Embodiment 1. FIG. 6 is a diagram illustrating an example of generated power performance data stored in a storage unit according to Embodiment 1. FIG. 6 is a diagram illustrating an example of weather conditions stored in a storage unit according to Embodiment 1. FIG. 6 is a diagram illustrating an example of a determination result of a power demand level stored in a storage unit in Embodiment 1. FIG. 4 is a flowchart illustrating an example of data acquisition operation performed by the gateway device according to the first embodiment. It is a flowchart which shows an example of the operation | movement of the electric power demand level determination which the storage battery management apparatus which concerns on Embodiment 1 performs. It is a flowchart which shows an example of the operation | movement of the electric power demand level prediction which the storage battery management apparatus which concerns on Embodiment 1 performs. It is a figure which shows the example of the predicted value of the power demand level in Embodiment 1. FIG. It is a flowchart which shows an example of the operation | movement of the surplus electric power prediction which the storage battery management apparatus which concerns on Embodiment 1 performs. It is a flowchart which shows an example of the operation | movement of the schedule determination which the storage battery management apparatus which concerns on Embodiment 1 performs. 4 is a flowchart showing an example of operation for detecting a surplus power storage period that can be performed by the storage battery management device according to Embodiment 1; It is a flowchart which shows an example of operation | movement of charge object storage battery and charge time determination which the storage battery management apparatus which concerns on Embodiment 1 performs. 6 is a diagram illustrating an example of a predicted value of surplus power in Embodiment 1. FIG. 6 is a diagram illustrating an example of surplus power allocation in Embodiment 1. [FIG. 6 is a diagram illustrating an example of surplus power allocation in Embodiment 1. [FIG. 6 is a diagram illustrating an example of surplus power allocation in Embodiment 1. [FIG. It is a flowchart which shows an example of the operation | movement of charge object storage battery and charging time determination which the storage battery management apparatus which concerns on Embodiment 2 of this invention performs. It is a flowchart which shows the example from which the operation | movement of charge object storage battery and charging time determination which the storage battery management apparatus which concerns on Embodiment 2 performs differs. FIG. 10 is a diagram illustrating an example of surplus power allocation in the second embodiment. FIG. 10 is a diagram illustrating an example of surplus power allocation in the second embodiment. It is a figure which shows the structural example of the hardware of the storage battery management apparatus which concerns on embodiment of this invention, and a gateway apparatus.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. In the drawings, the same or equivalent parts are denoted by the same reference numerals.

(Embodiment 1)
FIG. 1 is a block diagram showing a configuration example of a power system according to Embodiment 1 of the present invention. The power system 100 receives power supplied from the power system 200 of the power company, and causes the power generated by the power generation system 101 to flow backward to the power system 200. The power system 100 includes a customer facility 102 that includes the storage battery 6. In the example of FIG. 1, two customer facilities 102 are described, but the number of customer facilities 102 included in the power system 100 is an arbitrary number. In the first embodiment, a case where a plurality of customer facilities 102 are included in the power system 100 will be described. In FIG. 1, the flow of power is indicated by solid arrows, and the flow of control signals and data is indicated by dotted arrows. The electric power from the power supply system 200 is supplied to the electric device 5 through the electric power meter 23 and the distribution board 8. The distribution board 8 is electrically connected to an electrical device 5, a storage battery 6 that supplies power to the electrical device 5, and a measuring device 7 that measures the generated power of the power generation system 101 and the power consumption of the electrical device 5. The number of electrical devices 5 is arbitrary.

  The power generation system 101 is a power generation system in which the amount of power generation varies depending on weather conditions, for example, a solar power generation system or a wind power generation system. The electric power generated by the power generation device 21 is converted into AC power by the power conditioner 22 and supplied to the electric device 5 through the distribution board 8. When the generated power of the power generation system 101 exceeds the power consumption of the electrical device 5 and surplus power is generated, charging of the storage battery 6 with the surplus power or reverse to the power supply system 200 via the power conditioner 22 and the power meter 23 is performed. Tidal current is performed. The plurality of storage batteries 6 are charged with electric power generated by the shared power generation system 101. When the generated power of the power generation system 101 is lower than the power consumption of the electrical device 5, power is supplied from the storage battery 6 to the electrical device 5, or power is supplied from the power supply system 200 to the electrical device 5.

  As will be described later, the storage battery management system 103 includes a gateway device 3 that acquires data from the communication device 4 connected to the electrical device 5, the storage battery 6, and the measurement device 7, and a gateway device 3 that is connected via the network 2. The storage battery management device 1 that generates and outputs a schedule indicating the operation of the storage battery 6 based on the data acquired from the storage battery 6 is provided. In the first embodiment, the gateway device 3 is provided for each of the plurality of customer facilities 102, and the storage battery management system 103 is based on the plurality of gateway devices 3 and the data acquired from the plurality of gateway devices 3. A storage battery management device 1 that creates and outputs a schedule. The gateway device 3 controls charging / discharging of the storage battery 6 according to the schedule created by the storage battery management device 1.

  FIG. 2 is a diagram illustrating an arrangement example of the storage battery management system according to the first embodiment. As described above, the storage battery management system 103 includes the storage battery management apparatus 1 and the plurality of gateway apparatuses 3 connected to the storage battery management apparatus 1 via the network 2. The communication method of the network 2 is a wireless method, a wired method, or a combination thereof. The network 2 is the Internet, a dedicated line, or a combination thereof. In the example of FIG. 2, the gateway device 3 is provided in each of N houses.

  In FIG. 2, a television 51, an air conditioner 52, and an illumination 53 are described as examples of the electric device 5. The communication device 4 is connected to each of the television 51, the air conditioner 52, the illumination 53, the storage battery 6, and the measuring device 7, and the communication device 4 is connected to the gateway device 3 via a home network. When the electric device 5 and the measuring device 7 have a communication function, the communication device 4 may not be provided. The electrical device illustrated in FIG. 2 is an example, and the electrical device 5 includes, for example, a communication device 4 such as a ventilation fan, an IH cooking heater, a microwave oven, a refrigerator, a rice cooker, a personal computer, a room air conditioner, floor heating, an electric window, and an electric blind. Is any device that can be connected or has a communication function. The communication system of the home network is a wireless system, a wired system, or a combination thereof. The power generation device 21 may be provided in each residence shown in FIG. 2, or a common power generation device 21 may be provided for a plurality of residences as shown in FIG.

  FIG. 3 is a block diagram illustrating a configuration example of the gateway device according to the first embodiment. The gateway device 3 includes an operation data acquisition unit 31 that acquires operation data including information indicating the operation results of the electric device 5 and the storage battery 6, electric power data that acquires the generated power result of the power generation system 101 and the actual power consumption of the electric device 5. An acquisition unit 32, a gateway communication unit 33 that transmits power data and operation data, and receives a schedule, and a storage battery control unit 34 that controls the storage battery 6 according to the schedule are provided.

  The operation data acquisition unit 31 obtains information indicating the operation results of the storage battery 6 from the communication device 4, and at least one of the television 51, the air conditioner 52, and the illumination 53 connected to the communication device 4. The operation data including the information indicating the operation results of is acquired. FIG. 4 is a diagram illustrating an example of operation data according to the first embodiment. In the example of FIG. 4, the operation data acquisition unit 31 acquires operation data composed of states 1, 2, and 3 for each of the television 51, the air conditioner 52, the illumination 53, and the storage battery 6. In FIG. 4, a blank means that there is no data.

  The operation data acquisition unit 31 acquires the power state indicating ON or OFF as the state 1, the volume as the state 2, and the viewing channel as the state 3 for the television 51. The operation data acquisition unit 31 acquires, for the air conditioner 52, an operation mode indicating any one of cooling, heating, dehumidification, and off as the state 1, a set temperature as the state 2, and a reserved time as the state 3, respectively. The operation data acquisition unit 31 acquires the power state indicating ON or OFF as the state 1 and the brightness as the state 2 for the illumination 53. In the example of FIG. 4, the operation data of the illumination 53 is composed of states 1 and 2. The operation data acquisition unit 31 acquires an operation mode indicating any one of charging, discharging, and standby as the state 1, a remaining power storage amount as the state 2, and charge / discharge power as the state 3 for the storage battery 6.

  The power data acquisition unit 32 acquires power data including the generated power record of the power generation system 101 and the power consumption record of the electric device 5 that is supplied with power from the power generation system 101 from the measurement device 7. The measuring device 7 may acquire the actual power consumption of the electric device 5 from the communication device 4 connected to the electric device 5 via the home network, or may be provided in each branch circuit inside the distribution board 8. A power consumption record may be acquired for each branch circuit in the customer facility 102 using the obtained current sensor. By using the current sensor provided in the branch circuit, it is possible to obtain the power consumption results of an electric device (not shown) that is not connected to the home network.

  The power data acquisition unit 32 may calculate the actual power consumption of the electrical device 5 based on the operation data acquired by the operation data acquisition unit 31 and information indicating power consumption per predetermined unit time. The power data acquisition unit 32 can calculate the actual power consumption of the television 51 by, for example, holding information about the power consumption when the television 51 is in the on state. When the power consumption record of the electric device 5 can be acquired from the communication device 4 connected to the electric device 5, the measuring device 7 needs to measure the power consumption of the electric device 5 connected to the home network. Absent.

  The gateway communication unit 33 adds the data acquisition date and time to the operation data acquired by the operation data acquisition unit 31 and the power data acquired by the power data acquisition unit 32 and transmits the data to the storage battery management device 1 via the network 2. The data acquisition date and time may be given by the operation data acquisition unit 31 and the power data acquisition unit 32. The gateway communication part 33 acquires the schedule which shows operation | movement of the storage battery 6 which the storage battery management apparatus 1 mentioned later produces. The storage battery control unit 34 controls the storage battery 6 by switching charging / discharging and adjusting the charging power of the storage battery 6 according to the acquired schedule.

  FIG. 5 is a diagram illustrating a configuration example of the storage battery management device according to the first embodiment. The storage battery management device 1 includes a communication unit 11 that receives power data, operation data, and weather conditions and transmits a schedule, a level determination unit 12 that determines a power demand level for the storage battery 6, and actual and predicted values of weather conditions. The weather information acquisition unit 13 to acquire, the power data, the operation data, the storage unit 14 in which the actual value and the predicted value of the weather condition and the power demand level are stored, the level prediction unit 15 to predict the power demand level, and the surplus power are predicted A surplus power prediction unit 16 and a schedule determination unit 17 for creating a schedule are provided.

  The communication unit 11 acquires operation data and power data from the gateway device 3. The power consumption record of the electric device 5 included in the acquired operation data and power data is also stored in the storage unit 14 as electric device operation data. The generated power record of the power generation system 101 included in the power data is also stored in the storage unit 14. FIG. 6 is a diagram illustrating an example of electrical device operation data stored in the storage unit according to the first embodiment. The blank part in the table of FIG. 6 means that there is no data. The acquisition date and time are the date and time given to the operation data and the power data in the gateway communication unit 33.

  In the example of FIG. 6, the device ID of the television 51 is 0001, the device ID of the air conditioner 52 is 0002, the device ID of the illumination 53 is 0003, and the device ID of the storage battery 6 is 0101. The total of power consumption results in the residence 1 including the electric device 5 not connected to the home network is stored as data with the device ID 0901. For data with the device ID 0901, there is no corresponding operation data, so states 1, 2, and 3 are blank. When the power data includes a power consumption record for each branch circuit, the power consumption record for each branch circuit may be stored in the storage unit 14. In the example of FIG. 6, at the time of data acquisition, the television 51 is on, the volume is 15, the channel is 1, the air conditioner 52 is operating in the heating mode of the set temperature 27, and the reservation time is 6:00. 30 minutes, the illumination 53 is on and the brightness is 2. The storage battery 6 is being discharged, the remaining amount of storage is 90%, and the discharge power is 100W. Moreover, the power consumption results of the television 51, the air conditioner 52, and the illumination 53 are 200 W, 800 W, and 100 W, respectively. The total power consumption of the electric device 5 is 1500W. The electric device operation data acquired at regular intervals as shown in FIG. 6 is stored in the storage unit 14.

  FIG. 7 is a diagram illustrating an example of generated power performance data stored in the storage unit according to the first embodiment. The acquisition date and time are the date and time given to the power data in the gateway communication unit 33. Data on the actual generated power of the power generation system 101 acquired at regular intervals is stored in the storage unit 14. The acquisition timing of the power data in the gateway communication unit 33 is arbitrary.

  The communication unit 11 acquires the actual value and the predicted value of the weather condition at the installation location of the power generation system 101 from a weather information source (not shown). The acquired actual value and predicted value of the weather condition are stored in the storage unit 14. FIG. 8 is a diagram illustrating an example of weather conditions stored in the storage unit according to the first embodiment. In the example of FIG. 8, the weather conditions are temperature, humidity, and weather, but the weather conditions acquired from the weather information source can be arbitrarily determined. The meteorological information source is, for example, a meteorological information providing server of the Japan Meteorological Agency, a private weather information providing service, or a device for inputting weather data by a weather forecaster.

  The communication unit 11 acquires a schedule to be described later from the schedule determination unit 17 and transmits the schedule to the gateway device 3 via the network 2.

  The level determination unit 12 uses, for each storage battery 6, power consumption of the electrical device 5 that is the target of power supply to the storage battery 6, based on at least one of the operation data included in the electrical device operation data and the power consumption performance of the electrical device 5. The power demand level indicating the degree of power is determined. The determined power demand level is stored in the storage unit 14. As shown in the example of FIG. 2, when the storage battery management device 1 manages the operation of the storage battery 6 provided in the residence, the level determination unit 12 determines that the resident of the residence is at home for each unit time according to the operation data. It is determined whether or not there is, and if it is at home, the power demand level is set to 1, and if it is absent, the power demand level is set to 0. The unit time is an arbitrary time longer than the interval between operation data and power data acquisition time in the gateway device 3.

  FIG. 9 is a diagram illustrating an example of the determination result of the power demand level stored in the storage unit in the first embodiment. In the example of FIG. 9, the unit time is 30 minutes. In accordance with the electric device operation data shown in FIG. 6, the level determination unit 12 determines, for each device ID, the state 1, 2, for each device ID for the electric device 5 corresponding to the same residence ID as the determination target storage battery 6. 3 and whether or not any of the power consumption results change, and if any device ID changes, it is determined that the unit time is home and the power demand level is set to 1. Set. On the other hand, if there is no change in any of the statuses 1, 2, and 3 and the actual power consumption in any device ID within the unit time, it is determined that the unit time is absent and the determination is made. The power demand level for the target storage battery 6 is set to zero.

  The level prediction unit 15 predicts the power demand level in the first future period for each storage battery 6 according to the power demand level stored in the storage unit 14. The first future period can be arbitrarily determined. The level prediction unit 15 predicts the power demand level for each unit time in the first future period. For each unit time, the level prediction unit 15 reads past power demand level data corresponding to the unit time from the storage unit 14, and predicts the power demand level based on the read past power demand level data. . There may be one or more data of the power demand level read out. When data of a plurality of power demand levels is read, the level prediction unit 15 calculates an average value of the power demand levels and predicts the power demand level based on a comparison between the average value and a threshold value. Alternatively, the power demand level may be predicted based on the number of data at each level of the power demand level. The level prediction unit 15 may further predict the power demand level using the actual value and the predicted value of the weather information stored in the storage unit 14. When the determination and prediction of the power demand level is performed immediately before the schedule determination process described later, the level prediction unit 15 determines the level based on at least one of the operation data acquired immediately before and the actual power consumption of the electric device 5. The power demand level determined by the unit 12 may be used as a predicted value of the power demand level.

  The surplus power prediction unit 16 predicts surplus power in the second future period according to the power data stored in the storage unit 14 and the actual and predicted values of weather conditions. The second future period can be arbitrarily determined. The surplus power prediction unit 16 performs an operation for subtracting the predicted value of power consumption calculated based on the past power consumption record from the predicted value of generated power calculated based on the past generated power record for each unit time. Do. The surplus power prediction unit 16 calculates a larger value of the calculation result and 0 as a predicted value of surplus power.

When the power generation device 21 is provided in each residence shown in FIG. 2, the surplus power prediction value Ps _iT calculated by the surplus power prediction unit 16 in the time zone T in the residence i (1 ≦ i ≦ N). Is a larger value of 0 and a value obtained by subtracting the predicted power consumption value in the residence i from the predicted power generation value of the power generation device 21 in the residence i. When the power consumption acquired by the power data acquisition unit 32 includes the power consumed for charging the storage battery 6, the predicted value of surplus power may be calculated using the following equation (1). In the following formula (1), Pg _iT is a predicted value of generated power, Pc _iT is a predicted value of power consumption, and Pb _iT is a storage battery when charging of the storage battery 6 is reserved in the time zone T. 6 is the power consumed for charging 6. Information on whether or not there is a reservation for charging the storage battery 6 and the charging power may be acquired by the operation data acquisition unit 31 and stored in the storage unit 14 as electric device operation data of the storage battery 6 or may be acquired separately. Good.

  An example will be described in which the surplus power prediction unit 16 predicts surplus power based on the electric equipment operation data and the generated power performance data for the last five days with similar weather conditions. The surplus power predicting unit 16 reads from the storage unit 14 electrical device operation data and generated power performance data for the last five days with similar weather conditions. The surplus power predicting unit 16 calculates the average value of the actual power generation and the actual power consumption per unit time on each day, and calculates the predicted value of the generated power and the predicted value of the power consumption. The surplus power prediction unit 16 can calculate a predicted value of surplus power by subtracting a predicted value of power consumption from the calculated predicted value of generated power. The surplus power prediction unit 16 may use the minimum value of the actual power generation as the predicted value of the generated power and the maximum value of the actual power consumption as the predicted value of the power consumption for each unit time. The method of determining data used for the prediction of surplus power and the number of data to be read can be arbitrarily determined. The surplus power prediction unit 16 calculates the predicted value of the generated power based on the electric device operation data for the most recent five days with similar weather conditions and the generated power data, and the electric device operation for the most recent five days with the same day of the week. A predicted value of power consumption may be calculated based on the data and the data of the actual power generation. That is, the data used for calculating the predicted value of generated power may be different from the data used for calculating the predicted value of power consumption. The surplus power predicting unit 16 may predict surplus power based on the electric equipment operation data and the generated power performance data having the most similar weather conditions.

When each dwelling shown in FIG. 2 is equipped with the power generation device 21, the predicted value Ps _T of the surplus power in the time zone T in the entire power generation system 101 is expressed by the following equation (2).

When the power generation system 101 is shared by a plurality of houses equipped with the storage battery 6, the predicted value Ps _T of the surplus power in the time zone T in the entire power generation system 101 is the power generation in the time zone T of the power generation system 101. The value obtained by subtracting the sum of the predicted values Ps _iT of the power consumption of each dwelling from the predicted value of power and a larger value of 0. When the power consumption acquired by the power data acquisition unit 32 includes the power consumed for charging the storage battery 6, the predicted value of the surplus power in the time period T in the entire power generation system 101 is Ps _{T as} follows. It is represented by the formula (3). Pg _T in the following formula (3) is a predicted value of the generated power in the time zone T of the power generation system 101.

  The schedule determination unit 17 determines the operation of the storage battery 6 in the third future period based on the predicted value of the power demand level calculated by the level prediction unit 15 and the predicted value of surplus power calculated by the surplus power prediction unit 16. The schedule shown is created and transmitted to the gateway device 3 via the communication unit 11. The third future period is a period included in a period in which the first future period and the second future period overlap. The first future period, the second future period, and the third future period may be the same period. The schedule determination unit 17 is charged with surplus power from the storage battery 6 having a time during which the predicted value of the power demand level is equal to or less than a threshold during the time when surplus power is predicted to occur in the third future period. The storage battery 6 and the charging time of the storage battery 6 are determined.

  When using 0 indicating absence and 1 indicating home as the power demand level, the schedule determination unit 17 uses a threshold value that is greater than 0 and less than 1, and the predicted value of the power demand level is equal to or less than the threshold value, that is, a resident The storage battery 6 to be charged by surplus power is determined from among the storage batteries 6 provided in the residence where there is a time when the battery is absent.

In the first embodiment, the schedule determination unit 17 divides the maximum value maxPs _T of the predicted value of surplus power by the number Ah of residences where there is no resident, as shown in the following formula (4): The division result is set as the charging power Pch of each storage battery 6.

The schedule determination unit 17 uses the charged power of the storage battery 6 calculated by the above formula (4) and the free capacity Pv _i calculated by subtracting the remaining storage amount from the rated capacity of the storage battery 6 provided in the residence _i (unit: based on Wh), from the following equation (5), calculates the time required for charging Tch _i of the storage battery 6.

  The remaining power storage capacity and the rated capacity may be acquired by the operation data acquisition unit 31 and may be stored in the storage unit 14 as the electric device operation data of the storage battery 6 or may be acquired separately. In the example of the operation data illustrated in FIG. 4, the remaining amount of power storage is included in the operation data. The remaining power storage capacity and the rated capacity of the storage battery 6 can be obtained using a communication protocol defined by ECHONET Lite (registered trademark).

Schedule determination unit 17, in response to the time required for charging Tch _i, determining the charging time of the storage battery 6 and storage battery 6 is charged by surplus power. The schedule determination unit 17 can select the storage battery 6 having the longest required charging time Tchi _{i in} order, and determine the storage battery 6 to be charged by surplus power and the charging time of the storage battery 6. In the above example in accordance with the time required for charging Tch _i, was determined battery 6 is charged by surplus power, the determination method is not limited to the above example. The schedule determination unit 17 may sequentially select the storage battery 6 that has the longest time for which the predicted value of the power demand level is equal to or less than the threshold value, and determine the storage battery 6 to be charged with surplus power and the charging time of the storage battery 6. .

  For the storage battery 6 to which the charging time is not assigned in the above-described processing, the schedule determination unit 17 assigns a predetermined time as the charging time, for example, at night. The schedule determination unit 17 creates a schedule indicating the charging time and charging power of the storage battery 6 based on the above-described charging time allocation result.

  In the power system 100 in which the power generation device 21 and the storage battery 6 are installed in each of the N houses shown in FIG. 2, a 24-hour schedule is created at night from 7 am the next day to 7 am the next day. As an example, details of the operation of each unit of the storage battery management system 103 will be described with reference to a flowchart. The first future period, the second future period, and the third future period are 24 hours from 7 am the next day to 7 am the next day. The operation data and power data acquisition time interval is 1 minute, and the unit time is 30 minutes.

  FIG. 10 is a flowchart illustrating an example of the data acquisition operation performed by the gateway device according to the first embodiment. The operation data acquisition unit 31 acquires operation data including information indicating the operation results of the television 51, the air conditioner 52, the illumination 53, and the storage battery 6 connected to the communication device 4 from the communication device 4 (step S11). The power data acquisition unit 32 acquires power data including the generated power record of the power generation system 101 and the power consumption record of the electric device 5 that receives power supply from the power generation system 101 (step S12). The gateway communication unit 33 adds the data acquisition date and time to the operation data acquired by the operation data acquisition unit 31 and the power data acquired by the power data acquisition unit 32 and transmits the data to the storage battery management device 1 via the network 2 ( Step S13). When the transmission process of step S13 is completed, the gateway device 3 ends the data acquisition process.

  When the power data acquisition unit 32 acquires power data from the measuring device 7, the processes in steps S11 and S12 may be performed in parallel. As shown in FIG. 10, the gateway device 3 may sequentially transmit the acquired operation data and power data, or the operation for a certain period longer than the data acquisition interval stored in the memory provided in the gateway device 3. Data and power data may be transmitted to the storage battery management device 1 at regular intervals. The gateway device 3 performs operation processing, for example, averaging or integration, on operation data and power data for a certain period stored in the memory, and transmits the operation data and power data that have been calculated to the storage battery management device 1. May be. The certain period that is the target of the arithmetic processing is a time shorter than the unit time used in the level determination unit 12, the level prediction unit 15, and the surplus power prediction unit 16 described above.

  FIG. 11 is a flowchart illustrating an example of an operation of determining a power demand level performed by the storage battery management device according to the first embodiment. The level determination unit 12 reads out, from the storage unit 14, the electric device operation data of the target residence in the target unit time (step S21). The level determination unit 12 determines whether or not the operation state of the television 51 has changed during the unit time. If the operation state of the television 51 has changed (step S22; Y), the resident is at home. Therefore, the power demand level is determined to be 1 and stored in the storage unit 14 (step S27). When there is no change in the operating state of the television 51 (step S22; N), the level determination unit 12 determines whether or not there is a change in the operating state of the air conditioner 52. S23; Y), the power demand level is determined to be 1, and stored in the storage unit 14 (step S27).

  When there is no change in the operating state of the television 51 and the air conditioner 52 (steps S22, S23; N), the level determination unit 12 determines whether there is a change in the operating state of the illumination 53, and there is a change. In such a case (step S24; Y), the power demand level is determined as 1 and stored in the storage unit 14 (step S27). When there is no change in the operating state of the television 51, the air conditioner 52, and the illumination 53 (steps S22, S23, S24; N), it is determined whether there is a change in the operating state of the storage battery 6, and there is a change. In this case (step S25; Y), the power demand level is determined to be 1 and stored in the storage unit 14 (step S27). When there is no change in the operating state of the television 51, the air conditioner 52, the lighting 53, and the storage battery 6 (steps S22, S23, S24, S25; N), it is determined whether there is a change in the total power consumption. If there is a change (step S26; Y), the power demand level is determined as 1 and stored in the storage unit 14 (step S27).

  In step S26, by determining whether or not there is a change in the total power consumption record in the residence 1 or the total power consumption record for each branch circuit in the distribution board 8, the electricity not connected to the home network It is possible to determine the power demand level in consideration of the actual power consumption of the device 5. When there is no change in any of the operating state and the total power consumption of the television 51, the air conditioner 52, the lighting 53, and the storage battery 6 (steps S22, S23, S24, S25, S26; N), the resident is absent. It is determined that the power demand level is 0 (step S28). When the process of step S27 or S28 is completed, the level determination unit 12 ends the power demand level determination process. The level determination unit 12 performs the above-described processing for each unit time of each residence.

  In the power demand level determination process, the electrical device 5 used for determination may be changed as needed. When the reserved time is set so that the air conditioner 52 operates before returning home in order to set the room temperature to an appropriate temperature when returning home, the process of step S23 may not be performed. Thereby, the determination precision of the electric power demand level in the case of determining at home or absence can be improved. In step S26, when it is determined whether or not there is a change in the total power consumption of the electrical equipment 5 for each branch circuit, the branch circuit used for the determination may be changed as needed.

  FIG. 12 is a flowchart illustrating an example of an operation of power demand level prediction performed by the storage battery management device according to the first embodiment. The level prediction unit 15 reads out, from the storage unit 14, data on the power demand level that matches the standard corresponding to the unit time within the prediction target period of the prediction target residence (step S31). The data meeting the criteria is, for example, data on the same day in different months, data on the same day of the week, or data with similar weather conditions. The level prediction unit 15 performs calculation processing based on the read power demand level data (step S32). The arithmetic processing is, for example, calculation of an average value of a plurality of data or calculation of a mode value. The level prediction unit 15 calculates a predicted value of the power demand level according to the calculation result (step S33). When the process of step S33 is completed, the level prediction unit 15 ends the power demand level prediction process. The level prediction unit 15 performs the above-described processing for each prediction target unit time of each prediction target residence.

  In the case of predicting the power demand level for the storage battery 6 provided in the residence 1 in the unit time from 7:00 to 7:30 in the morning of the fourth Wednesday in November, in step S32 A case where the average value is calculated will be described as an example. In step S31, the level prediction unit 15 reads data on the power demand level for the storage battery 6 provided in the residence 1 in the unit time from 7:00 to 7:30 in the morning of the first to third Wednesdays in November. When the power demand level on the first Wednesday is 0, the power demand level on the second Wednesday is 1, and the power demand level on the third Wednesday is 0, the average value calculated by the level prediction unit 15 in step S32 is 0.33. ... In step S <b> 33, the level prediction unit 15 determines whether the average value is equal to or less than the threshold for level determination using 0.5 as the threshold for level determination. Since the average value is smaller than the threshold for level determination, the level prediction unit 15 determines the power demand level for the storage battery 6 provided in the residence 1 in the unit time from 7 am to 7:30 on the fourth Wednesday of November. The predicted value is calculated as 0.

  As another example, the case where the electric power demand level with respect to the storage battery 6 with which the residence 1 was equipped in the unit time from 18:00 to 18:30 on June 6 based on the data with same weather conditions is estimated is demonstrated. Assuming that the predicted value of the weather condition from 18:00 to 18:30 on June 6 is rain, the level prediction unit 15 determines from the actual value of the weather condition stored in the storage unit 14 to 18:00 to 18:30. Detects the last 5 days when the weather is rainy. It is assumed that the level prediction unit 15 detects five days, June 5, May 22, May 21, May 5, and April 30. In step S31, the level predicting unit 15 reads out data on the power demand level in the unit time from 18 o'clock to 18:30 in the 5 days. It is assumed that the power demand levels for the five days are 1, 1, 1, 0 and 1, respectively. In step S32, the average value calculated by the level prediction unit 15 is 0.8. In step S <b> 33, the level prediction unit 15 determines whether the average value is equal to or less than the threshold for level determination using 0.5 as the threshold for level determination. Since the average value is larger than the threshold value, the level prediction unit 15 calculates 1 as the predicted value of the power demand level for the storage battery 6 provided in the residence 1 in the unit time from 18:00 to 18:30 on June 6. Prediction accuracy can be improved by predicting power demand levels using weather conditions.

  The threshold used in step S33 can be changed at any time. The threshold value may be close to 0 so that it is easy to be predicted to be at home, or the threshold value may be close to 1 to be easily predicted to be absent. The level prediction unit 15 may perform a power demand level prediction process at a timing when a necessary power demand level is stored in the storage unit 14, or perform a power demand level prediction process immediately before a schedule determination process described later. May be.

  FIG. 13 is a diagram illustrating an example of a predicted value of the demand level in the first embodiment. In the example of FIG. 13, the power demand levels in the dwellings 1 to N are predicted every 30 minutes in 24 hours from 7 am the next day to 7 am the next day.

  FIG. 14 is a flowchart illustrating an example of operation of surplus power prediction performed by the storage battery management device according to Embodiment 1. The surplus power prediction unit 16 reads the predicted value of the weather condition of the target residence in the prediction target period from the storage unit 14 (step S41). The surplus power prediction unit 16 detects a past period corresponding to the prediction target period (step S42). The past period corresponding to the forecast period is the past period in which the weather is similar to the weather in the forecast period, the past in which the total time when the weather is clear is similar to the total sunny time in the forecast period Period of time, etc. The surplus power prediction unit 16 stores, in the past period corresponding to the prediction target period, the electric device operation data including the power consumption result of the electric device 5 in the prediction target residence and the data of the power generation result of the power generation device 21. (Step S43). The surplus power predicting unit 16 calculates a surplus power predicted value for each unit time of the prediction target period based on the predicted power consumption value and the predicted power generation value (step S44). When the process of step S44 is completed, the surplus power prediction unit 16 ends the surplus power prediction process. The surplus power prediction unit 16 performs the above-described processing on each prediction target residence.

  FIG. 15 is a flowchart illustrating an example of a schedule determination operation performed by the storage battery management device according to the first embodiment. As will be described later, the schedule determination unit 17 is calculated using the above formula (2) based on the predicted value of the surplus power of the power generator 21 for each unit time in each residence calculated by the surplus power prediction unit 16. The surplus power storage period in which the predicted value of surplus power in the entire power generation system 101 is equal to or greater than the threshold power is detected (step S51). When there is a chargeable period (step S52; Y), the schedule determination unit 17 determines the storage battery 6 to be charged with surplus power and the charging time of the storage battery 6 as described later (step S53). When there is no chargeable period (step S52; N), the process of step S53 is not performed. The schedule determination unit 17 determines a predetermined time such as a night time as the charging time of the storage battery 6 for the storage batteries 6 other than the storage battery 6 to be charged with surplus power determined in step S53 (step S54). . The schedule determination unit 17 generates a schedule indicating the operation of the storage battery 6 based on the charging time determined in steps S53 and S54 (step S55). When the process of step S55 is completed, the schedule determination unit 17 ends the schedule determination process.

Details of step S51 will be described. FIG. 16 is a flowchart illustrating an example of an operation for detecting a surplus power storage period that can be performed by the storage battery management device according to the first embodiment. Steps S <b> 61 to S <b> 71 are loop processing for detecting a period in which power storage with surplus power is possible for each unit time T. Parameters maxPs _T , Pp, and Ap _i , which will be described later, are initialized to 0 at the start of the surplus power storage period detection process. Since the schedule creation target period is 24 hours and the unit time is 30 minutes, the number of unit times to be loop-processed is 48. The schedule determination unit 17 calculates the predicted value Ps _T of the surplus power in the entire power generation system 101 in the unit time T using the above equation (2) (step S62). The schedule determination unit 17 determines whether or not the surplus power predicted value Ps _T is larger than the parameter maxPs _T indicating the maximum surplus power predicted value Ps _T , and if it is larger (step S63; Y), The parameter maxPs _T is updated with the predicted surplus power value Ps _T (step S64). When the predicted value of surplus power is equal to or less than the parameter maxPs _T (step S63; N), the process of step S64 is not performed.

When the surplus power predicted value Ps _T is equal to or greater than the threshold power α (step S65; Y), the surplus power predicted value Ps _T is equal to or greater than the threshold power α, that is, a unit time in which charging with surplus power is possible. 1 is added to the parameter Pp indicating the number (step S66). Steps S <b> 67 to S <b> 70 are loop processing for adding, for each residence, the unit time for which the power demand level is 0, that is, the number of unit times that are absent. When the power demand level Ab _iT in the unit time T of the residence i is 0 (step S68; Y), the resident of the residence i is absent in the unit time T. 1 is added to the parameter Ap _i indicating the number of unit times in which no is present (step S69). If the predicted value Ps _T of surplus power is less than the threshold power α (step S65; N), the processing in step S66~S70 is not performed. The threshold power α can be arbitrarily determined according to the characteristics of the storage battery 6, and the threshold power α may be set to the same value as the minimum charging power of the storage battery 6, for example.

  When the loop process of steps S61 to S71 is completed, the schedule determination unit 17 ends the process of detecting the surplus power storage period. When the process of steps S61 to S71 shown in FIG. 16, that is, the process of step S51 shown in FIG. 15, is completed, the schedule determination unit 17 performs the process of step S52 shown in FIG. If the parameter Pp is greater than 0, the schedule determination unit 17 determines that there is a chargeable period (step S52; Y), and performs the process of step S53. Details of the storage battery 6 charged with surplus power in step S53 and the process of determining the charging time of the storage battery 6 will be described.

FIG. 17 is a flowchart illustrating an example of an operation for determining a charge target storage battery / charge time performed by the storage battery management device according to the first embodiment. Steps S <b> 81 to S <b> 84 are loop processing for detecting the number of residences that have time absent during a period in which charging with surplus power is possible. When the parameter Ap _i is greater than 0 (step S82; Y), the schedule determination unit 17 adds 1 to the parameter Ah indicating the number of houses in which there is an absence (step S83). The parameter Ah is initialized with 0 at the start of the process of determining the storage battery to be charged / charge time. If the parameter Ap _i is 0 or less (step S82; N), the schedule determination unit 17 does not perform the process of step S83.

The schedule determination unit 17 calculates charging power using the above equation (4) (step S85). Steps S <b> 86 to S <b> 88 are loop processing for calculating the time required for charging the storage battery 6 installed in each residence for each residence where the parameter Ap _i is greater than zero. The schedule determination part 17 calculates the charge required time of the storage battery 6 with which each residence was equipped using said (5) Formula (step S87). The schedule determination unit 17 determines a priority order for the storage battery 6 provided in a residence where the parameter Ap _i is greater than 0 (step S89). The method of determining the priority order is arbitrary, and is determined based on, for example, the order in which the charging time is long, the order in which the resident of the residence in which the storage battery 6 is installed is long, or the order in which the storage battery 6 has a small remaining power. Is done. The priority order may be determined by the combination of the above-described examples. The priority order is determined in the order of the longest required charging time. Thus, the priority order may be determined.

  Steps S90 to S93 are a loop process for determining the charging time for each storage battery 6, and the charging time for the storage battery 6 is determined in order from the storage battery 6 having the highest priority. The schedule determination part 17 allocates charging time to the storage battery 6 (step S91). A calculation is performed to subtract the charging power of the storage battery 6 to which the charging time is allocated from the predicted surplus power value, and the surplus power prediction value is updated with the calculation result (step S92). When the loop process of steps S90 to S93 is completed, the schedule determination unit 17 ends the process of determining the charge target storage battery / charge time.

  The process for determining the charging time in steps S90 to S93 will be described using the example of the predicted value of the power demand level shown in FIG. FIG. 18 is a diagram illustrating an example of a predicted value of surplus power in the first embodiment. The horizontal axis is time, and the vertical axis is the predicted value of surplus power. Since the predicted value of the surplus power exceeds the threshold power α from 9:00 to 16:00, the chargeable period is from 9:00 to 16:00. The residences 1, 2, and 3 shown in FIG. 13 have an absence time between 9:00 and 15:30, but the residence N has no absence time. An explanation will be given by taking as an example a case where the residences with absent time between 9:00 and 16:00 are only residences 1, 2, and 3.

The schedule determination unit 17 calculates maxPs _T / 3 as charging power using the above equation (4). The schedule determination unit 17 selects the storage battery 6 provided in the residence 1 with the longest charge required time when the required charge time of the storage battery 6 provided in the residences 1, 2, and 3 is 7 hours, 6 hours, and 5 hours, respectively. The storage battery 6 installed in the house 2 with the highest priority, the storage battery 6 installed next in the residence 2 with the longest required charging time is set as the storage battery with the next highest priority, and the storage battery 6 installed in the residence 3 with the shortest charging required time is the highest priority. The priority is determined as a low storage battery.

19, 20, and 21 are diagrams illustrating an example of surplus power allocation in the first embodiment. The way of viewing the figure is the same as in FIG. The schedule determination unit 17 sets the charging time of the storage battery 6 provided in the dwelling 1 from 9:00 to 16:00 as indicated by hatching in FIG. The schedule determination unit 17 subtracts the charging power maxPs _T / 3 of the storage battery 6 from the surplus power predicted value Ps _T between 9:00 and 16:00. FIG. 20 shows the subtraction result. In FIG. 20, the surplus power exceeds the predicted value Ps _T minimum power α from 10:00 to 15:00. The schedule determination unit 17 sets the charging time of the storage battery 6 provided in the residence 2 from 10 o'clock to 15 o'clock, as indicated by hatching in FIG. The schedule determination unit 17 subtracts the charging power maxPs _T / 3 of the storage battery 6 from the surplus power predicted value Ps _T between 10:00 and 15:00. FIG. 21 shows the subtraction result. In Figure 21, during the period from 12 am to 30 pm 12, the predicted value Ps _T of surplus power exceeds the minimum power alpha. The schedule determination unit 17 sets the charging time of the storage battery 6 provided in the residence 3 from 12 o'clock to 12:30, as indicated by hatching in FIG.

  As described above, according to the storage battery management device 1 according to the first embodiment, the storage battery 6 to be charged by the surplus power generated by the power generation in the power generation system 101 shared by the plurality of storage batteries 6 and the schedule of the charging time are determined. By doing so, surplus power can be used effectively in the entire power system 100, and fluctuations in reverse power flow can be suppressed. By predicting the power demand level and determining a schedule indicating the operation of the storage battery 6, the storage battery 6 can be charged during a period when the power demand level is relatively low, and the storage battery 6 can be charged efficiently. .

(Embodiment 2)
In ECHONET Lite (registered trademark), a protocol for obtaining the minimum charging power and the maximum charging power of the storage battery 6 is also defined. In the first embodiment, the required charging time of each storage battery 6 is calculated using the same charging power for the plurality of storage batteries 6 based on the above equation (4). On the other hand, in the second embodiment, the storage battery 6 is controlled according to the respective characteristics of the storage battery 6 by calculating the required charging time using the minimum charging power of each storage battery 6 and determining the charging time. It is possible.

  The configuration of the storage battery management device 1 according to the second embodiment is the same as that of the first embodiment. The operation data acquisition unit 31 acquires the minimum charge power and the maximum charge power in addition to the remaining power storage and the operation mode of the storage battery 6. The acquisition frequency of the minimum charging power and the maximum charging power may be lower than the acquisition frequency of other data, for example, once a day or once a month.

The operation of the storage battery management device 1 that is different from the first embodiment will be described. The process of detecting the surplus power storage possible period performed by the schedule determination unit 17 is the same as the process shown in FIG. The threshold power α used in step S65 is determined according to the minimum charging power of the storage battery 6 acquired by the operation data acquisition unit 31. FIG. 22 is a flowchart illustrating an example of an operation of determining a charging target storage battery / charging time performed by the storage battery management device according to Embodiment 2 of the present invention. The processing from step S81 to S89 and the processing from step S90 to S93 are the same as the processing shown in FIG. However, in step S87, the schedule determining section 17, based on the minimum charge power Pmin _i of the storage battery 6, calculates the time required for charging using the following equation (6).

Schedule determination unit 17, the storage battery 6 to be charging time determination processing, i.e., the total value of the minimum charge power of the storage battery 6 which is equipped to dwellings is absent time, it is determined whether or not greater than MaxPs _T, is greater (Step S891; Y), the storage battery 6 having the lowest priority is excluded from the storage batteries 6 to be subjected to the charging time determination process, and 1 is subtracted from Ah to update Ah (Step S892). The schedule determination unit 17 determines whether or not the updated Ah is larger than 0. If the updated Ah is larger (step S893; Y), the process returns to the process of step S891. If the updated Ah is 0 or less (step S893; N), the schedule determination unit 17 ends the process of determining the charging target battery / charging time.

In the above example, the schedule determining section 17, the sum of charging power of the storage battery 6 to be charging time determination processing to be no greater than MaxPs _T, it was adjusted battery 6 of interest. Schedule determination unit 17 may adjust the charging power of the storage battery 6 so that the total charging power of the storage battery 6 to be charging time determination processing does not become extremely small than maxPs _T. FIG. 23 is a flowchart illustrating different examples of the operation of determining the charging target storage battery and charging time performed by the storage battery management device according to the second embodiment. The processes in steps S81 to S89, steps S891 to S893, and steps S90 to S93 are the same as the processes shown in FIG. Schedule determination unit 17, when the sum of the minimum charge power of the storage battery 6 to be charging time determination processing is smaller than the value obtained by multiplying the β to maxPs _T (step S894; Y), the charging power of the storage battery 6 Increase (step S895). β is an arbitrary positive number less than 1, for example, 0.8. Schedule determination unit 17, when the sum of the minimum charge power of the storage battery 6 to be charging time determination processing is a value obtained by multiplying the β above maxPs _T (step S894; N), the process of step S895 Not performed.

In step S895, the schedule determination unit 17 increases the charging power of the storage battery 6 having the highest priority until the total charging power reaches a value obtained by multiplying maxPs _T by β. The target for increasing the charging power is not limited to the storage battery 6 having the highest priority, and the charging power of the target storage battery 6 may be increased equally.

24 and 25 are diagrams illustrating an example of surplus power allocation in the second embodiment. FIG. 24 shows a state before the processes of steps S894 and S895 are performed. As shown by hatching in FIG. 24, a value smaller than the total value of the charging power of the storage battery 6 is obtained by multiplying the β to maxPs _T. FIG. 25 shows a state after the processing of steps S894 and S895. As indicated by hatching in FIG. 25, the storage battery 6 can be charged more efficiently by increasing the charging power of the storage battery 6.

  As described above, according to the storage battery management device 1 according to the second embodiment, the storage battery 6 to be charged by the surplus power generated by the power generation in the power generation system 101 shared by the plurality of storage batteries 6 and the charging time schedule are set. By determining, surplus power can be used effectively in the entire power system 100, and fluctuations in reverse power flow can be suppressed. By determining a schedule indicating the operation of the storage battery 6 according to the characteristics of the storage battery 6, charging can be performed while suppressing deterioration of the storage battery 6.

  FIG. 26 is a diagram illustrating a hardware configuration example of the storage battery management device and the gateway device according to the embodiment of the present invention. The storage battery management device 1 and the gateway device 3 include a processor 111, a memory 112, and an interface 113 as hardware configurations for controlling the respective devices. Each function of these devices is realized by the processor 111 executing a program stored in the memory 112. The interface 113 is for connecting each device and establishing communication, and may be configured by a plurality of types of interfaces as necessary. FIG. 26 illustrates an example in which the processor 111 and the memory 112 are each configured as one, but a plurality of processors 111 and a plurality of memories 112 may execute each function in cooperation.

  In addition, the hardware configuration and the flowchart described above are merely examples, and can be arbitrarily changed and modified.

  A central part for performing control processing constituted by the processor 111, the memory 112, and the interface 113 can be realized by using a normal computer system without depending on a dedicated system. For example, a computer program for executing the above operation is stored and distributed in a computer-readable recording medium (flexible disk, CD-ROM, DVD-ROM, etc.), and the computer program is installed in the computer. Thus, the storage battery management device 1 and the gateway device 3 that execute the above-described processing may be configured. Further, the storage battery management device 1 and the gateway device 3 may be configured by storing the computer program in a storage device included in a server device on a communication network such as the Internet and downloading the computer program from a normal computer system.

  Further, when the functions of the storage battery management device 1 and the gateway device 3 are realized by sharing an OS (operating system) and an application program, or in cooperation with the OS and the application program, only the application program portion is stored in a recording medium or You may store in a memory | storage device.

  It is also possible to superimpose a computer program on a carrier wave and distribute it via a communication network. For example, the computer program may be posted on a bulletin board (BBS: Bulletin Board System) on a communication network, and the computer program may be distributed via the communication network. The computer program may be started and executed in the same manner as other application programs under the control of the OS, so that the above-described processing may be executed.

  The embodiment of the present invention is not limited to the above-described embodiment. The installation location of the storage battery 6 is not limited to a residence, and may be a commercial facility or a public facility. In the above-described example, the configuration in which the power generation device 21 and the storage battery 6 are provided in each residence has been described, but the power generation device 21 may be provided only in some of the residences. The number of the storage batteries 6 which are the management object of the storage battery management apparatus 1 is arbitrary. When the storage battery management device 1 manages the operation of one storage battery 6, the storage battery management device 1 charges the storage battery 6 at a time when the predicted value of the power demand level of the storage battery 6 is equal to or less than a threshold value during the chargeable period. Create a schedule to be Thereby, even if it is a case where the storage battery management apparatus 1 manages operation | movement of one storage battery 6, the electric power of a reverse power flow can be equalized.

  Various embodiments and modifications can be made to the present invention without departing from the broad spirit and scope of the present invention. The above-described embodiments are for explaining the present invention and do not limit the scope of the present invention. In other words, the scope of the present invention is shown not by the embodiments but by the claims. Various modifications within the scope of the claims and within the scope of the equivalent invention are considered to be within the scope of the present invention.

  DESCRIPTION OF SYMBOLS 1 Storage battery management apparatus, 2 Network, 3 Gateway apparatus, 4 Communication equipment, 5 Electrical equipment, 6 Storage battery, 7 Measuring equipment, 8 Distribution board, 11 Communication part, 12 Level judgment part, 13 Weather information acquisition part, 14 Storage part , 15 level prediction unit, 16 surplus power prediction unit, 17 schedule determination unit, 21 power generation device, 22 power conditioner, 23 power meter, 31 operation data acquisition unit, 32 power data acquisition unit, 33 gateway communication unit, 34 storage battery control Part, 51 TV, 52 air conditioner, 53 lighting, 100 power system, 101 power generation system, 102 consumer equipment, 103 storage battery management system, 111 processor, 112 memory, 113 interface, 200 power supply system.

Claims (9)

A storage battery management device that manages the operation of a storage battery that supplies power to an electrical device and is charged by the power generated by a power generation system in which the amount of power generation varies according to weather conditions,
An operation for acquiring operation data including information indicating an operation record of the storage battery and information indicating an operation record of the electric apparatus for at least one of the electric apparatuses that are targets of power supply of the storage battery. A data acquisition unit;
A power data acquisition unit that acquires power data including a power generation result of the power generation system and a power consumption result of an electric device that receives power supply from the power generation system;
A meteorological information acquisition unit for acquiring actual values and predicted values of the weather conditions at the installation location of the power generation system;
A level determination unit that determines a power demand level indicating a degree of power consumption of the electrical device that is a target of power supply of the storage battery for each storage battery, based on at least one of the operation data and the actual power consumption of the electrical device; ,
A level prediction unit that predicts the power demand level in a first future period for each storage battery from the power demand level;
A surplus power prediction unit that predicts surplus power in the second future period from the power data and the actual value and the predicted value of the weather condition;
The predicted power demand level is a threshold value at a time when the surplus power is predicted to occur in a third future period included in a period in which the first future period and the second future period overlap. The storage battery to be charged with the surplus power and the charging time of the storage battery are determined from among the target storage batteries that are the storage battery having the following time, and a schedule showing the operation of the storage battery in the third future period A schedule determination unit to create and output;
A storage battery management device.   The schedule determination unit calculates a required charging time of the target storage battery at a time when the surplus power is predicted to be generated, and the storage battery charged with the surplus power according to the required charging time and the storage battery The storage battery management device according to claim 1, wherein the storage time is determined.   The storage battery management device according to claim 2, wherein the schedule determination unit sequentially selects the storage battery having the longest required charging time and determines the storage battery to be charged by the surplus power and a charging time of the storage battery.   The schedule determination unit selects, in order from the storage battery having the longest time during which the predicted power demand level is equal to or less than the threshold in the time when the surplus power is predicted to be generated, and is charged by the surplus power. The storage battery management apparatus according to any one of claims 1 to 3, wherein the storage battery and a charging time of the storage battery are determined.   The schedule determination unit, after determining the storage battery to be charged by the surplus power and the charging time of the storage battery, a value obtained by multiplying the maximum value of the surplus power in the third future period by a positive number less than 1. The charge power of the storage battery is increased according to the difference when the difference from the total charge power of the storage battery charged by the surplus power is greater than zero. Storage battery management device. The storage battery management device manages the operation of the storage battery installed in a residence,
The level determination unit determines whether or not the resident of the residence is at home according to a change in the operation data within a certain time, and if it is at home, sets the power demand level to 1 and is absent If so, set the power demand level to 0,
The storage battery according to any one of claims 1 to 5, wherein the schedule determination unit determines the storage battery to be charged by the surplus power and a charging time of the storage battery using the threshold value which is a positive number less than one. Management device. The storage battery management apparatus according to any one of claims 1 to 6, wherein the storage battery management apparatus according to any one of claims 1 to 6, wherein the storage battery is supplied with electric power and is controlled by electric power generated by a power generation system whose power generation amount varies depending on weather conditions. A gateway device connected via
An operation for acquiring operation data including information indicating an operation record of the storage battery and information indicating an operation record of the electric apparatus for at least one of the electric apparatuses that are targets of power supply of the storage battery. A data acquisition unit;
A power data acquisition unit that acquires power data including a power generation result of the power generation system and a power consumption result of an electric device that receives power supply from the power generation system;
The operation data and the power data are transmitted to the storage battery management device, and a schedule indicating the operation of the storage battery in a future period generated by the storage battery management device according to the operation data and the power data is received from the storage battery management device. A communication unit
A storage battery control unit for controlling the storage battery according to the schedule;
A gateway device comprising: The storage battery management device according to any one of claims 1 to 6,
A gateway device according to claim 7;
A storage battery management system comprising: A program for managing the operation of a storage battery that supplies power to an electrical device and is charged by the power generated by a power generation system whose power generation amount varies depending on weather conditions,
An operation for acquiring operation data including information indicating an operation record of the storage battery and information indicating an operation record of the electric apparatus for at least one of the electric apparatuses that are targets of power supply of the storage battery. Data acquisition unit,
A power data acquisition unit that acquires power data including a power generation result of the power generation system and a power consumption result of an electric device that receives power supply from the power generation system;
A meteorological information acquisition unit for acquiring actual values and predicted values of the weather conditions at the installation location of the power generation system;
A level determination unit that determines a power demand level indicating a degree of power consumption of the electrical device that is a target of power supply of the storage battery for each storage battery, from at least one of the operation data and the power consumption performance of the electrical device,
A level prediction unit that predicts the power demand level in a first future period for each storage battery from the power demand level;
A surplus power prediction unit that predicts surplus power in a second future period from the power data and the actual and predicted values of the weather conditions;
The predicted power demand level is a threshold value at a time when the surplus power is predicted to occur in a third future period included in a period in which the first future period and the second future period overlap. The storage battery to be charged with the surplus power and the charging time of the storage battery are determined from among the target storage batteries that are the storage battery having the following time, and a schedule showing the operation of the storage battery in the third future period A schedule determination unit to create and output,
Program to function as.

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