JP2017034968A - Power management method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a power management method for effectively controlling peak cut of storage batteries installed for a plurality of users, in a group of the plurality of users.SOLUTION: In a power management method in which peak cut of purchased power in a group of users, which is constituted of user facilities comprising power generators and storage batteries, user facilities comprising either power generators or storage batteries and user facilities which do not comprise power generators nor storage batteries, is controlled using power to be discharged from the storage batteries, a pattern of purchased power in the group of users is determined from respective patterns of predicted power consumption of the user facilities and respective patterns of predicted generated power of the power generators; and a discharge pattern of discharged power for every time zone of the storage batteries so as to control discharge of the storage batteries, on the basis of respective dischargeable amounts in unit time of the storage batteries, in order to control peak cut in each time zone in the pattern of the purchased power.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a power management method.

2. Description of the Related Art In recent years, a power supply system including a power generation device that uses renewable energy (natural energy) such as a solar cell as one of distributed power supply devices has become widespread (see, for example, Patent Document 1).
At present, the installation of solar cells (photovoltaic power generation panels) for new construction of houses has become almost steady due to the establishment of a surplus power purchase system, a fixed quantity purchase system, and the like. Specifically, solar cells are installed in about 70 to 90% of houses in condominiums.

In terms of technology, there is a tendency to increase the capacity of solar cells for residential use.
The power generated by solar cells varies greatly depending on weather conditions. For this reason, for example, when the daytime is sunny and the sunlight is strong, the generated power of the solar cell may exceed the power required for the house. In this case, surplus power (surplus power) is generated in the generated power in each house.

In the case where surplus power is generated in the generated power of the solar cell as described above, in addition to selling power to the commercial system, charging the storage battery and providing surplus power to homes that are other consumers Become.
Moreover, the peak cut using a storage battery is performed with respect to the total load of a some consumer (for example, patent document 2).

JP 2012-10559 A International Publication No. 2014/042219

However, in Patent Document 2, although a peak cut method using a power storage system for a plurality of consumers is presented, the storage battery is regarded as one system as a whole. That is, since the storage battery of each consumer installed in each consumer is not operated and operation control of the storage battery of each consumer is not performed, energy resources are not fully utilized.

The present invention has been made in view of such circumstances, and a storage battery installed in a plurality of consumers is subjected to a peak cut in an aggregate of the plurality of consumers (a group of consumers in the power management area 1 described later). An object is to provide an effective power management method.
And this invention provides the power management method which sets and operates the peak cut target flexibly and effectively based on the load pattern and the dischargeable electric power from the storage battery in a plurality of consumers. For the purpose.

  In order to solve the above-described problem, the present invention does not include both a customer facility including both a power generation device and a storage battery, a customer facility including any one of the power generation device and the storage battery, a power generation device, and a storage battery. A power management method for performing peak cut of purchased power in a group of consumers consisting of customer facilities using power discharged from the storage battery, each predicted power consumption pattern of the customer facility and each of the power generation devices In order to obtain a purchased power pattern in the consumer group from the predicted generated power pattern and perform peak cut in each time zone in the purchased power pattern, the storage battery is based on the dischargeable amount per unit time of the storage battery. A discharge pattern of discharge power for each of the time periods is generated to control discharge of the storage battery.

  Further, in the power management method described above, the present invention detects a time zone of maximum power purchase in the power purchase power pattern, selects any one storage battery from the storage batteries in the customer facility group, and selects the selected battery The storage battery that lowers the maximum purchased power of the purchased power pattern by repeatedly subtracting the dischargeable amount of the storage battery per unit time from the amount of maximum purchased power and repeatedly generating a new purchased power pattern. The discharge pattern is generated.

  Further, according to the present invention, in the above-described power management method, as a storage battery used for reducing the maximum purchased power in the purchased power pattern, the dischargeable amount per unit time is maximum in the storage battery in the customer facility group. The storage battery is selected.

  In addition, the present invention provides a consumer facility comprising both a power generation device and a storage battery, a customer facility including any one of the power generation device and the storage battery, and a customer facility not including both the power generation device and the storage battery. A power management method for performing peak cut of purchased power in a group by power discharged from the storage battery, wherein the predicted power consumption pattern of each of the customer facilities and the predicted generated power pattern of each of the power generation devices In order to obtain the purchased power pattern in the consumer group and perform peak cut in each time zone in the purchased power pattern, the discharge of the storage battery for each time zone is based on the dischargeable amount in each unit time of the storage battery. A power discharge pattern is generated, the discharge of the storage battery is controlled, and when a predetermined time of the day for performing the discharge control arrives, A new predicted power consumption pattern is generated based on the history of actual power consumption values. If the actual power consumption value at that time exceeds the predicted power consumption in the new predicted power consumption pattern, It is characterized by calculating a purchased power pattern in consideration of excess.

  Further, according to the present invention, in the power management method described above, when the purchased power pattern including the excess exceeds the target purchased power upper limit value, the target purchased power upper limit value is set as the purchased power, and the target purchase power is set. It is planned to discharge from the storage battery for power exceeding the power upper limit value.

As described above, according to the present invention, it is possible to provide a power management method for effectively performing a peak cut in an aggregate of a plurality of consumers for storage batteries installed in a plurality of consumers.
Further, according to the present invention, the peak cut target should not be considered fixedly, but can be set flexibly and effectively based on the load pattern and the dischargeable power from the storage battery in a plurality of consumers. It is possible to provide an operating power management method.
Further, according to the present invention, when a predetermined time arrives on the day when the discharge control is performed, the predicted power consumption pattern is recalculated, and the actual power consumption value at that time is calculated as the predicted power consumption in the new predicted power consumption pattern. If the electric power is exceeded, a purchased electric power pattern that takes into account the excess is calculated. Thereby, even if it is a case where a difference arises in a prediction result and the performance on the day, a power purchase power pattern can be reviewed on the day. Therefore, it is possible to reduce the shortage of the remaining capacity of the storage battery at the peak time.

It is a figure showing the example of whole composition of the power management system in a 1st embodiment. It is a figure which shows the structural example of the power management apparatus in 1st Embodiment. It is a figure which shows each relationship of a demand electric power pattern, a generated electric power pattern, and purchased electric power (purchased electric power) pattern. It is a figure which shows the electrical storage remaining amount of each storage battery 103 of the consumer facility 10, and the dischargeable amount in the unit time of the storage battery 103. It is a figure which shows the required discharge electric energy for every time slot | zone which can be discharged from the storage battery 103 of the customer facility 10 in the electric power management area 1. FIG. It is a figure which shows each relationship of the demand electric power pattern after a peak cut process, a generated electric power pattern, and purchased electric power (purchased electric power) pattern. Shows the relationship between the purchased power amount (purchased power amount), the purchased power amount (purchased power amount), and the required discharge power amount used for peak cut when the purchased power does not exceed the target purchased maximum power amount (maximum purchased power amount) It is a table. Shows the relationship between the purchased power amount (purchased power amount), the purchased power amount (purchased power amount), and the required discharge power amount used for peak cut when the purchased power does not exceed the target purchased maximum power amount (maximum purchased power amount). It is a table. 5 is a flowchart illustrating a discharge plan generation process of the power management apparatus 200. 5 is a flowchart for explaining the operation of the power management apparatus 200. It is a graph explaining a power purchase target value.

<First Embodiment>
[Example of overall configuration of power management system]
FIG. 1 shows an example of the overall configuration of a power management system in the present embodiment. The power management system according to the present embodiment collectively manages power in customer facilities such as houses, commercial facilities, and industrial facilities corresponding to a plurality of customer facilities in a predetermined region. Such a power management system corresponds to a so-called TEMS (Town Energy Management System), CEMS (Community Energy Management System), or the like.

  The power management system of the present embodiment performs power management for the electrical equipment for each customer facility 10 in a customer group in a certain range of areas shown as a power management area 1 in FIG. The customer facility 10 corresponds to, for example, a house, a commercial facility, or an industrial facility. The commercial power supply 2 is branched and supplied to each of these customer facilities 10.

  In the figure, the electrical equipment provided in one certain customer facility 10 is shown. One customer facility 10 shown in the figure includes a solar battery 101 (an example of a renewable energy-compatible power generation device), a power conditioner 102, a storage battery 103, an inverter 104, a power path switching unit 105, and loads 106-1 to 106. -N and the facility-specific control unit 107 are provided. In the following description, the loads 106-1 to 106-N will be referred to as loads 106 unless otherwise distinguished.

  The solar cell 101 is a power generation device that converts light energy into electric power by the photovoltaic effect. The solar cell 101 converts sunlight into electric power by being installed in a place where sunlight can be efficiently received, such as the roof of the customer facility 10.

  The power conditioner 102 converts DC power output from the solar battery 101 into AC.

  The storage battery 103 accumulates electric power input for charging, and discharges and outputs the accumulated electric power. As the storage battery 103, for example, a lithium ion battery can be employed.

The inverter 104 is provided corresponding to each storage battery 103, and performs AC / DC conversion of power for charging the storage battery 103 or DC / AC conversion of power output from the storage battery 103 by discharging. That is, bidirectional conversion of power input / output by the storage battery 103 is performed.
Specifically, when charging the storage battery 103, AC power for charging is supplied to the inverter 104 from the commercial power supply 2 or the power conditioner 102 via the power path switching unit 105. The inverter 104 converts the AC power supplied in this way into DC and supplies it to the storage battery 103.
Further, when the storage battery 103 is discharged, DC power is output from the storage battery 103. The inverter 104 converts the DC power output from the storage battery 103 to AC and supplies the AC power to the power path switching unit 105.

The power path switching unit 105 switches the power path according to the control of the facility-specific control unit 107. At this time, the facility-specific control unit 107 can control the power path switching unit 105 in accordance with an instruction from the power management apparatus 200.
In accordance with the above control, the power path switching unit 105 can form a power path so as to supply the commercial power source 2 to the load 106 in the same customer facility 10.

In addition, the power path switching unit 105 can form a power path so that the power generated by the solar cell 101 is supplied from the power conditioner 102 to the load 106 in the same customer facility 10.
Further, the power path switching unit 105 forms a power path in the same customer facility 10 so as to charge the storage battery 103 via the inverter 104 with power supplied from one or both of the commercial power source 2 and the solar battery 101. Can do.
Further, the power path switching unit 105 can form a power path in the same customer facility 10 so that power output from the storage battery 103 by discharging is supplied to the load 106 via the inverter 104.

Further, the power path switching unit 105 forms a power path so that the power generated by the solar battery 101 is supplied to the storage battery in another customer facility 10 via the power system of the commercial power source 2, for example. can do.
Further, the power path switching unit 105 can form a power path so as to supply the power output by the discharge of the storage battery 103 to the load 106 in the other customer facility 10.

  The loads 106-1 to 106-N are predetermined devices and facilities that consume power for their own operation in the customer facility 10. The number of loads provided for each customer facility 10 may be different.

  The facility-specific control unit 107 controls electrical equipment (solar cell 101, power conditioner 102, storage battery 103, inverter 104, power path switching unit 105, and load 106) in the customer facility 10.

  The power management apparatus 200 executes power control for the electrical equipment in the entire customer facility 10 belonging to the power management area 1. For this reason, the power management apparatus 200 in FIG. 1 is connected so as to be able to communicate with each of the facility-specific control units 107 in the customer facility 10. Thereby, the power management apparatus 200 can control the electrical equipment under the management of the facility-specific control unit 107 by controlling the facility-specific control unit 107.

  Note that, for example, the facility-specific control unit 107 may be omitted, and the power management apparatus 200 may directly control electrical facilities and the like in each customer facility 10. However, in the present embodiment, as a configuration including the power management apparatus 200 and the facility-specific control unit 107, the control of the power management apparatus 200 is controlled by hierarchizing the control in the entire power management area 1 and the customer facility 10. To avoid complications.

Further, some of the customer facilities 10 in the power management area 1 may not include, for example, the solar battery 101 or the storage battery 103.
Specifically, in the power management area 1, there may be a customer facility 10 that does not include either the solar battery 101 or the storage battery 103, or a consumer that includes either the solar battery 101 or the storage battery 103. There may be a facility 10.

  The power generated by the solar cell 101 varies depending on the sunshine conditions. In particular, the solar cell 101 outputs a large amount of generated electric power when it is sunny in the daytime. On the other hand, for example, the load 106 operating in the customer facility 10 may be small, resulting in a state where the power consumed by the load 106 is small. In such a case, in the customer facility 10, surplus power (surplus power) that is not consumed by the load 106 among the generated power of the solar battery 101 is generated.

Such surplus power can be charged in the storage battery 103, for example. However, when the surplus power is relatively large, it is considered that the surplus power may still remain even when the storage battery 103 is charged.
The surplus power that cannot be charged to the storage battery 103 may be supplied to other customer facilities 10. However, the generated power of the solar cell 101 depends on the sunshine conditions, and surplus power of the solar cell 101 is always generated and cannot be supplied to other customer facilities 10.
Moreover, when the electric power purchase of the whole customer facility 10 of the power management area 1 is calculated | required and the peak cut which reduces the maximum electric power purchase (peak power) is performed, the electric power generation of the solar cell 101 in the power management area 1 In addition, it is necessary to use the stored power of the storage battery 103 effectively.

  Therefore, as will be described below, the power management apparatus 200 according to the present embodiment charges the storage battery 103 in each of the customer facilities 10 in the power management area 1 (charging indicating the charging power amount of the storage battery 103 at every predetermined time). Pattern) and a discharge plan (a discharge pattern indicating the amount of electric power discharged from the storage battery 103 every predetermined time) are set, the peak of the entire power management area 1 is cut, and the effective use of the storage battery 103 in each customer facility 10 is achieved. .

[Configuration of power management device]
FIG. 2 shows a configuration example of the power management apparatus 200 for controlling the charging / discharging operation for the storage battery 103.
The power management apparatus 200 shown in the figure includes a power consumption prediction unit 201, a generated power prediction unit 202, a surplus power prediction unit 203, a purchased power prediction unit 204, a charge plan unit 205, a discharge plan unit 206, and a history information management unit 209. And a storage unit 210. In addition, a communication unit (not shown) performs communication with the facility-specific control unit 107 in each customer facility 10 via a communication network. The communication network supported by the communication unit may be a network such as the Internet, or may be a communication network using a dedicated line.

The history information management unit 209 manages history information regarding power in the power management area 1.
Specifically, the history information management unit 209 manages power consumption history information in the storage unit 210. The history information management unit 209 manages the generated power history information in the storage unit 210.

The power consumption history information stored in the storage unit 210 is information indicating the daily power consumed in each customer facility 10. Further, the power consumption history information indicates the power consumed every predetermined time on a daily basis.
The history information management unit 209 acquires power consumption information at predetermined time intervals from the facility-specific control unit 107 in each customer facility 10 by communication via the communication unit. Here, the power consumption information transmitted by the facility-specific control unit 107 may be, for example, total power consumption by the loads 106-1 to 106-N in the corresponding customer facility 10.

The history information management unit 209 creates power consumption history information for each customer facility 10 based on the power consumption information acquired from each customer facility 10 via the communication unit. As the power consumption history information created in this way, the power consumption history information for one day shows the power consumption corresponding to every predetermined time. Further, the power consumption history information for one day is associated with, for example, weather (meteorological) information for each predetermined time zone on that day.
The history information management unit 209 stores the created power consumption history information in the storage unit 210. As described above, the history information management unit 209 manages the power consumption history information.

The generated power history information stored in the storage unit 210 is information indicating the daily generated power of each solar cell 101. The generated power history information indicates the generated power for each predetermined time as information for each day.
The history information management unit 209 acquires the generated power information at predetermined intervals from each of the facility-specific control units 107 in the customer facility 10 including the solar battery 101 by communication via the communication unit.
The generated power information indicates the power generated by the solar cell 101 every predetermined time. The generated power information also includes information on charging power charged from the solar battery 101 to the storage battery 103 for the solar battery 101 of the customer facility 10 including the storage battery 103.

The history information management unit 209 creates generated power history information corresponding to each solar cell 101 based on the generated power information acquired from each customer facility 10 including the solar cell 101 via the communication unit. As the generated power history information thus created, the generated power history information for one day indicates the generated power corresponding to every predetermined time. The generated power history information is associated with information indicating the weather for each predetermined time of the day.
The history information management unit 209 causes the generated generated power history information to be stored in the storage unit 210. Thus, the history information management unit 209 manages the generated power history information.

The power consumption prediction unit 201 predicts the total power consumption by the plurality of customer facilities 10 in the power management area 1. Specifically, the power consumption prediction unit 201 first predicts the power consumption of each customer facility 10 based on the power consumption history information stored in the storage unit 210. The power consumption prediction unit 201 predicts the power consumption per predetermined time as the power consumption of each customer facility 10.
In the prediction, the power consumption prediction unit 201 associates with the same weather as that predicted for the prediction target day in the power consumption history information, for example, at the same time (season) as the prediction target day. The obtained power consumption history information is used.

  Then, the power consumption prediction unit 201 predicts the total power consumption by the plurality of customer facilities 10 on the prediction target day for each predetermined time based on the power consumption predicted for each customer facility 10. As one of the simplest examples, the power consumption prediction unit 201 adds the power consumption predicted for each customer facility 10 every predetermined time, and uses the addition result as a total to calculate the total for each predetermined time, What is necessary is just to set it as a demand power pattern by the prediction result of the total power consumption by the some customer facility 10. FIG.

The generated power prediction unit 202 predicts the total generated power by the solar cell 101 provided in at least a part of the plurality of customer facilities 10 in the power management area 1.
For this purpose, the generated power prediction unit 202 uses the generated power history information stored in the storage unit 210.
As described above, the generated power history information indicates the daily generated power for each solar cell 101 at predetermined time intervals. In addition, the generated power history information is associated with information indicating the weather on the corresponding day for each predetermined time.
Based on the weather forecast on the prediction target day, the generated power prediction unit 202 has the same time (season) as the prediction target day and the weather forecasted on the prediction target day from the generated power history information. The generated power history information associated with almost the same weather is acquired. Based on the generated power indicated by each of the acquired generated power history information, the generated power prediction unit 202 predicts the generated power on the prediction target day every predetermined time. The generated power prediction unit 202 adds the power predicted by each customer facility 10 every hour to generate a generated power pattern.

Based on the power consumption pattern predicted by the power consumption prediction unit 201 and the generated power pattern predicted by the generated power prediction unit 202, the surplus power prediction unit 203 determines the surplus power generation state (surplus state). Predict.
The surplus state of generated power here is a change in the value of surplus power on the prediction target date every predetermined time. That is, the surplus power prediction unit 203 predicts surplus power for each predetermined time on the prediction target date.

The surplus power per fixed time is obtained by subtracting the predicted value of power consumption from the predicted value of generated power at the same time. Further, when the storage battery 103 is charged from the solar battery 101, surplus power is obtained by subtracting the total charging power in the power management area 1 from the generated power.
In the present embodiment, as described above, the generated power history information includes information on charging power. Therefore, the generated power prediction unit 202 also predicts the charging power for every fixed time on the prediction date based on the charging power information in the generated power history information. Then, the generated power prediction unit 202 obtains the value of surplus power for each predetermined time by subtracting the predicted value of power consumption and the predicted value of charging power from the predicted value of generated power for every predetermined time. The value of the surplus power for each predetermined time thus obtained is a prediction result for the surplus state.

  The power purchase power prediction unit 204 obtains a difference between the demand power pattern that is the predicted power consumption pattern and the power generation pattern that is the predicted power generation pattern, and uses this difference as the power purchase power pattern ( Generation of power purchase pattern).

  FIG. 3 is a diagram illustrating a relationship between a demand power pattern, a generated power pattern, and a purchased power (purchased power) pattern. More specifically, FIG. 3 shows the amount of power consumption (predicted power consumption), the amount of generated power, and the amount of purchased power (added at a plurality of customer facilities 10 in the power management area 1 every 30 minutes per day. Purchased electric energy) is shown at the time from 0:00 (0:00) to 23:30 (23:30). FIG. 3A shows the amount of power every 30 minutes (power consumption, generated power, purchased power (purchased power), discharged energy), the horizontal axis represents time, and the vertical axis represents It shows the amount of power. FIG. 3B shows the amount of power per hour (power consumption, generated power, purchased power amount, purchased power amount, discharged power amount), the horizontal axis indicates time, and the vertical axis indicates power. Show.

  Returning to FIG. 2, the charging plan unit 205 creates a charging plan for storing the amount of power used for peak cut for each of the storage batteries 103 of the customer facility 10. The charging plan for the storage battery 103 is based on the difference between the stored power amount and the current stored power amount when the storage battery 103 is fully charged, the surplus power of the generated power of the solar battery 101, or the target peak power. A charging plan (charging power pattern of each storage battery 103) to be charged by the purchased power from the commercial power supply 2 is generated in a time zone that does not exceed (preferably nighttime time zone where the power rate is low).

FIG. 4 shows the remaining amount of electricity stored in each storage battery 103 of the customer facility 10 (remaining amount of power) and the dischargeable amount of the storage battery 103 within a unit time (dischargeable within a unit time). It is a figure which shows electric energy [kWh / 30min]. The ID is identification information given to each customer facility 10, for example, an identification number. The table in FIG. 4 is a storage battery table in which identification information, the remaining amount of power stored in the storage battery 103, the output, and the dischargeable amount per unit time are shown for each customer facility 10. The discharge planning unit 206 temporarily writes the storage battery table shown in FIG.
And the discharge plan part 206 produces | generates the discharge plan (discharge pattern) of each storage battery 103 for every time slot | zone based on each dischargeable amount and the electrical storage residual amount of each storage battery 103 in the storage battery table of the memory | storage part 210. To do.

  That is, the discharge planning unit 206 refers to the storage battery table of the storage unit 210 and generates a discharge plan for each of the storage batteries 103 in the customer facility 10 as follows. The discharge planning unit 206 detects a time zone in which the amount of purchased power in the purchased power pattern in the power management region 1 is the maximum value, and from the amount of purchased power in this time zone, Then, the dischargeable amount per unit time of any one of the storage batteries 103 in the customer facility 10 is subtracted to generate a new purchased power pattern, and the generated new purchased power pattern is written and stored in the storage unit 210.

FIG. 5 is a diagram illustrating a required amount of discharged power for each time zone in which the storage battery 103 of the customer facility 10 in the power management area 1 can be discharged. In FIG. 5, the vertical axis represents the amount of power, and the horizontal axis represents time. In this figure, as an example, the required discharge power amount every 30 minutes is shown.
By performing discharge from the storage battery 103 to the customer facility 10 based on the required discharge power amount and the target time zone to be discharged, peak cut can be performed, and from the purchased power amount (purchased power amount) before the peak cut, The purchased electric energy can be reduced to the purchased electric energy after the peak cut (purchased electric energy).
In addition, the maximum power purchase power (peak power) is 390 [kWh / 30 min], the dischargeable amount (total power storage amount of the storage battery 103) is 300 [kWh], and discharge is performed because the target power purchase power amount is reduced. It is assumed that the required discharge amount and the required discharge amount obtained by adding the discharge amount of the storage battery 103 selected as the discharge target is 277 [kWh]. In this case, since the remaining amount of electricity stored in the storage battery 103 remains, it is indicated that further peak cutting can be performed. In this case, a peak cut process may be further performed in order to reduce the amount of purchased power by utilizing the remaining amount of power stored in the storage battery 103. For example, the discharge planning unit 206 may be configured to generate the discharge plan so that the remaining power storage amount of all the storage batteries 103 of the customer facility 10 in the power management area 1 becomes zero.

  When a predetermined time arrives on the day when charge / discharge control is performed according to the charge plan or discharge plan after the charge plan or discharge plan is created, the plan management unit 211 performs the charge plan or discharge on that day. The charging plan unit 205 and the discharge planning unit 206 have a function of creating a plan again. Here, the predetermined time may be, for example, a fixed time interval such as every 30 minutes, every hour, or every hour on the hour (00 minutes every hour) or every 30 minutes per hour. (For example, 10:00 am, noon, 1 pm, 2 pm, 2:30 pm, 3 pm, 4 pm, etc.).

Here, the discharge plan part 206 produces | generates a discharge plan according to the order of the process shown below.
FIG. 8 is a flowchart for explaining a discharge plan generation process of the power management apparatus 200.
Step S1:
The discharge planning unit 206 extracts a time zone in which the purchased power is maximum from the adjustment table. At this time, the discharge plan part 206 extracts the time slot | zone with an early time as a process target, when the purchased electric power of the same electric energy exists.

Step S2:
And the discharge plan part 206 refers to the storage battery table of the memory | storage part 210 as the storage battery 103 discharged in this time slot | zone, and the dischargeable amount in a unit time is the largest among the storage batteries 103 in which the electrical storage residual amount is not zero. The storage battery 103 is selected. At this time, when there are a plurality of storage batteries 103 having the same dischargeable amount within the unit time, the discharge planning unit 206 selects the items in ascending order of ID (identification number).

Step S3:
Then, the discharge planning unit 206 subtracts the dischargeable amount per unit time of the selected storage battery 103 from the power amount of the purchased power in the time zone currently selected in the purchased power pattern. The discharge planning unit 206 changes the purchased power pattern using the subtraction result as the amount of new purchased power in the time period. The discharge planning unit 206 writes and stores the changed purchased power pattern as a new purchased power pattern in the storage unit 210 (a process for updating the purchased power pattern).

Step S4:
The discharge planning unit 206 subtracts the dischargeable amount per unit time to be discharged from the power amount of the remaining power of the storage battery 103 selected to discharge the dischargeable amount per unit time.
Then, the discharge planning unit 206 writes the subtraction result as a new remaining power storage amount and dischargeable amount per unit time as a new remaining power storage amount and dischargeable amount per unit time in the storage battery table of the storage unit 210 and stores it. (Overwrite process of new power storage remaining amount).

Step S5:
Then, the discharge planning unit 206 refers to the storage battery table of the storage unit 210, and if any one of the storage batteries 103 has a remaining power storage amount not 0, the discharge planning unit 206 returns to step S1 and continues the processing, and all the storage batteries 103 are stored. If the remaining amount of electricity stored is 0, the process is terminated assuming that a discharge pattern in the discharge plan has been created.
At this time, the discharge planning unit 206 obtains the discharge power amount to be discharged for each time zone determined as described above for each storage battery 103 of the customer facility 10 in the power management area 1, and discharge plans (discharges) of the respective storage batteries 103. Pattern), and the discharge power from the storage battery 103 in each customer facility 10 is managed.

  FIG. 6 is a diagram illustrating the relationship between the demand power pattern, the generated power pattern, and the purchased power (purchased power) pattern after the peak cut processing. More specifically, FIG. 6 shows the amount of power consumption (predicted power consumption), the amount of generated power, and the amount of purchased power (added at a plurality of customer facilities 10 in the power management area 1 every 30 minutes per day. Purchased electric energy) is shown at the time from 0:00 (0:00) to 23:30 (23:30). FIG. 6A shows the amount of power every 30 minutes (power consumption, generated power, purchased power (purchased power), discharged power), the horizontal axis indicates time, and the vertical axis indicates It shows the amount of power. The amount of power at the peak of purchased power (from 15:00 to 19:00) is 390 [kWh / 30 min] or less set as the maximum purchased power (peak power), and the maximum purchased power It can be seen that is reduced compared to before peak cut. FIG. 6B shows the amount of power per hour (power consumption, generated power, purchased power amount, purchased power amount, discharged power amount), the horizontal axis indicates time, and the vertical axis indicates power amount. Is shown. The power at the peak of the purchased power (the time zone from 15:00 to 19:00) is 780 [kW] or less, and it can be seen that the maximum purchased power is reduced compared to before the peak cut.

  FIG. 7A shows the purchased power amount (purchased power amount), the purchased power amount (purchased power amount), and the required discharge power amount used for peak cut when the purchased power does not exceed the target purchased maximum power amount (maximum purchased power amount). It is a table which shows the relationship. FIG. 7A shows the amount of electric power purchased before peak cut, the amount of electric power purchased after peak cut, and the required discharge electric energy used for peak cut in a plurality of customer facilities 10 in the power management area 1 every 30 minutes per day. The correspondence relationship is shown at the time from 0:00 (0:00) to 11:30 (11:30).

FIG. 7B is a table showing the relationship between the purchased power amount before peak cut (purchased power amount), the purchased power amount after peak cut (purchased power amount), and the required discharge power amount used for peak cut. FIG. 7B shows the amount of purchased power before peak cut, the amount of purchased power after peak cut, and the required discharge power used for peak cut in a plurality of customer facilities 10 in the power management area 1 every 30 minutes per day. The correspondence is shown at the time from 12:00 (12:30) to 12:00 (23:30).
In the case of FIGS. 7A and 7B, the maximum power purchase power is 400 [kWh / 30 min], and there is no time zone in which the power purchase power amount exceeds the maximum power purchase power. Therefore, the time zone for discharging the peak cut power amount is No discharge plan is generated.

As described above, according to the present embodiment, the discharge plan for discharging for reducing the maximum purchased power in the entire purchased power pattern from each of the storage batteries 103 included in the plurality of customer facilities 10 in the power management area 1 is provided. By standing up, it is possible to efficiently use the storage capacity of each of the storage batteries 103 and perform the peak cut processing for the maximum purchased power.
In addition, according to the present embodiment, based on the electric power that can be discharged from the storage battery 103 in the plurality of customer facilities 10 without considering the electric power purchased as a target of peak cut in the electric power purchased pattern, It can be operated flexibly and effectively.

Moreover, in the above-described embodiment, the case where the plan for performing the charge / discharge control (charge plan, discharge plan) is created the day before or the day before is explained. You may make it review and re-plan.
Next, the operation of the power management apparatus 200 when re-planning will be described with reference to the flowchart of FIG.

The power management apparatus 200 creates a charge plan by the charge plan unit 205 and creates a discharge plan by the discharge plan unit 206 by a predetermined time (for example, 3 am) on the day before or on the day when the charge / discharge control is performed. I do.
Step S101:
Next, the plan management unit 211 determines whether 00 minutes or 30 minutes have arrived at each time. If 00 minutes or 30 minutes have not arrived, the process returns to step S101 again.

Step S102:
When the time of 00 minutes or 30 minutes has arrived, the plan management unit 211 instructs the power consumption prediction unit 201 to perform power consumption prediction again. In accordance with this instruction, the power consumption prediction unit 201 refers to the past power consumption history information stored in the storage unit 210, and calculates the power consumption of the current day within a predetermined time from the time when the power consumption is re-estimated. The power consumption history information closest to (similar to) the history of the actual value is extracted. Here, since the power consumption history information is stored in the storage unit 210 for each day, the power consumption prediction unit 201 extracts the power consumption history information of the day having a history close to the history of the actual value of the day.

Step S103:
The power consumption prediction unit 201 acquires the extracted power consumption history information as a power consumption predicted value.
Step S104:
When the power consumption prediction value is obtained, the power consumption prediction unit 201 sets (holds) the power consumption prediction value as a subsequent power consumption prediction value.
Step S105:
Next, the power consumption prediction unit 201 refers to the set power consumption prediction value, and determines whether or not the current power consumption actual value exceeds the power consumption prediction value corresponding to the current time.

Step S106:
When the current power consumption actual value exceeds the power consumption predicted value corresponding to the current time, the power consumption prediction unit 201 subtracts the power consumption predicted value corresponding to the current time from the current power consumption actual value. Then calculate the excess.
Step S107:
When the excess is calculated, the power consumption prediction unit 201 calculates the corrected power consumption predicted value by adding the excess to the power consumption predicted value after that time.

Step S108:
The purchased power prediction unit 204 calculates the target purchased power by subtracting the predicted generated power from the predicted power consumption value. Here, when the corrected power consumption predicted value is calculated in step S107, the power purchase power predicting unit 204 uses the corrected power consumption predicted value as the power consumption predicted value, and reduces the predicted generated power. On the other hand, if the current power consumption actual value does not exceed the power consumption predicted value corresponding to the current time in step S105, the power purchase power predicting unit 204 predicts the predicted power generation from the power consumption predicted value set in step S104. Reduce power.
Step S109:
Next, the purchased power prediction unit 204 determines whether or not the target purchased power exceeds the target purchased power upper limit value.

Step S110:
When the target purchase power exceeds the target purchase power upper limit value, the power purchase power prediction unit 204 sets a range not exceeding the target purchase power upper limit value as the target purchase power, and sets the target purchase power and the target purchase power upper limit value. Is notified to the discharge planning unit 206. Based on the notification of the difference, the discharge planning unit 206 assigns the difference so as to be discharged from the storage battery. This allocation is performed by creating a discharge pattern that discharges so as to compensate for the difference by discharging from the storage battery 103 during a time period in which the target purchase power exceeds the target purchase power upper limit value.
Step S111:
On the other hand, if the target purchase power does not exceed the target purchase power upper limit value, the power purchase power prediction unit 204 sets the calculated target purchase power as the current target purchase power.

Next, FIG. 10 is a graph for explaining a power purchase target value.
FIG. 10A is a graph relating to the purchased power when the charging plan and the discharging plan are performed on the previous day and when a certain point in time on the day of charging and discharging has elapsed.
Of the predicted value (symbol a) of the purchased power obtained by making a prediction on the previous day, the discharge planning unit 206 determines that the predicted value of purchased power is the target power purchase value (symbol b) from time T1 to time T2. Therefore, a discharge plan including a schedule (reference c) for discharging from time T1 to time T2 is created on the previous day. When the control day actually arrives, the actual value of power consumption (symbol d) reaches the current time with the actual power purchase value (symbol e) exceeding the actual power purchase value (symbol e) after time Ta. At this time, since the power consumption exceeds the power purchase target value from the time Ta to the current time, the power purchase power is insufficient during this period (difference between the measured value of power consumption and the power purchase target value). Is supplemented by actually discharging (symbol f) from the storage battery 103. Then, the discharge of the storage battery 103 starts from the time Ta, which is a time earlier than the prediction T1 of the previous day prediction, so that the remaining capacity for discharging from the time T1 where the discharge was scheduled to the time T2 is insufficient. As a result, there is a possibility that the planned discharge plan may not be achieved.

FIG. 10B is a graph relating to the purchased power when the charging plan and the discharging plan are performed on the previous day, and in the case of the discharging plan on the same day, up to a certain point on the day when the charging and discharging are performed.
The discharge planning unit 206 creates a discharge plan according to the predicted value (symbol a) of the purchased power obtained by making a prediction on the previous day, and the purchased power prediction unit 204 predicts the purchased power target value on the previous day. Then, the purchased power target value (symbol b1) is calculated. On the day, power management is performed in accordance with the charge / discharge plan and the target value for purchased power. The plan management unit 211 predicts power consumption every time a predetermined time interval (hourly hour and hour 30 minutes) arrives. Instruct to rework. With this instruction as an opportunity, every time a predetermined time interval arrives, the power consumption is re-estimated, the power purchase predicted value (symbol g) is re-estimated, and the power purchase target value Is recalculated. As a result, between the time Ta and the current time, when only the control based on the previous day prediction value is performed, the actual measured power consumption value (symbol d) measured on that day is the power purchase target value calculated on the previous day. The target power target that exceeds (symbol b1) but is higher than the power purchase target value predicted on the previous day, when the target value of the power purchase is reviewed at time Tb after a certain period of time Ta has elapsed. By resetting the value (symbol b2), power is purchased so as not to exceed the power consumption of the day. Since the power consumption is re-predicted and the power purchase target value is re-calculated, the discharge from the storage battery 103 is not performed between the time Ta and the current time. Therefore, as in the previous day's discharge plan, it is possible to maintain a dischargeable state between time T1 and time T2. Further, when the target value of purchased power is reviewed from the time Tb to the current time, it is determined that the actual measured value of power consumption exceeds the purchased power target value reviewed at the time Tb. In this case, the target power target value (symbol b3) that is higher than the reviewed power purchase power target value is reset, so that power purchase is performed so as not to exceed the power consumption of the day. In the resetting of the calculation of the power purchase target value, when the power purchase power upper limit value is reached, the power purchase power upper limit value is set, and the difference exceeding the power purchase power upper limit value is consumed by the discharge from the storage battery 103. Power is supplemented.

  It should be noted that a program for realizing the functions of the power management apparatus 200 described above is recorded on a computer-readable recording medium, and the program recorded on the recording medium is read into a computer system and executed, thereby executing the power described above. You may perform the process as the management apparatus 200. FIG. Here, “loading and executing a program recorded on a recording medium into a computer system” includes installing the program in the computer system. The “computer system” here includes an OS and hardware such as peripheral devices. The “computer system” may include a plurality of computer devices connected via a network including a communication line such as the Internet, WAN, LAN, and dedicated line. The “computer-readable recording medium” refers to a storage device such as a flexible medium, a magneto-optical disk, a portable medium such as a ROM and a CD-ROM, and a hard disk incorporated in a computer system. As described above, the recording medium storing the program may be a non-transitory recording medium such as a CD-ROM.

  The recording medium also includes a recording medium provided inside or outside that is accessible from the distribution server in order to distribute the program. The code of the program stored in the recording medium of the distribution server may be different from the code of the program that can be executed by the terminal device. That is, the format stored in the distribution server is not limited as long as it can be downloaded from the distribution server and installed in a form that can be executed by the terminal device. Note that the program may be divided into a plurality of parts, downloaded at different timings, and combined in the terminal device, or the distribution server that distributes each of the divided programs may be different. Furthermore, the “computer-readable recording medium” holds a program for a certain period of time, such as a volatile memory (RAM) inside a computer system that becomes a server or a client when the program is transmitted via a network. Including things. The program may be for realizing a part of the functions described above. Furthermore, what can implement | achieve the function mentioned above in combination with the program already recorded on the computer system, what is called a difference file (difference program) may be sufficient.

  As mentioned above, although embodiment of this invention was explained in full detail with reference to drawings, the concrete structure is not restricted to this embodiment, The design etc. of the range which does not deviate from the summary of this invention are included.

DESCRIPTION OF SYMBOLS 1 Power management area 2 Commercial power supply 10 Consumer facility 101 Solar cell 102 Power conditioner 103 Storage battery 104 Inverter 105 Power path switching part 106-1 to 106-N Load 107 Facility-specific control part 200 Power management apparatus 201 Power consumption prediction part 202 Generated power prediction unit 203 Surplus power prediction unit 204 Purchased power prediction unit 205 Charging plan unit 206 Discharge plan unit 209 History information management unit 210 Storage unit 211 Plan management unit

Claims (5)

Electricity purchased in a customer group comprising a customer facility including both a power generation device and a storage battery, a customer facility including either the power generation device or the storage battery, or a customer facility not including both the power generation device and the storage battery A power management method for performing peak cut by power discharged from the storage battery,
A power purchase pattern in the consumer group is obtained from each predicted power consumption pattern of each of the customer facilities and each predicted power generation pattern of each of the power generation devices, and a peak cut in each time zone in the power purchase power pattern is performed. Therefore, based on the dischargeable amount per unit time of the storage battery, a discharge pattern of the discharge power of the storage battery for each time zone is generated to control the discharge of the storage battery. The time zone of the maximum power purchase power in the power purchase power pattern is detected, and any one storage battery is selected from the storage batteries in the customer facility, and the dischargeable amount per unit time of the selected storage battery is determined as the maximum power purchase power The subtraction from the electric energy, the process of generating a new purchased power pattern is repeatedly performed, and the discharge pattern of the storage battery that reduces the maximum purchased power of the purchased power pattern is generated. The power management method according to 1. The storage battery used to reduce the maximum purchased power in the purchased power pattern is selected as the storage battery having the maximum dischargeable amount per unit time in the storage battery in the customer facility. The power management method described. Electricity purchased in a customer group comprising a customer facility including both a power generation device and a storage battery, a customer facility including either the power generation device or the storage battery, or a customer facility not including both the power generation device and the storage battery A power management method for performing peak cut by power discharged from the storage battery,
A power purchase pattern in the consumer group is obtained from each predicted power consumption pattern of each of the customer facilities and each predicted power generation pattern of each of the power generation devices, and a peak cut in each time zone in the power purchase power pattern is performed. Therefore, based on the dischargeable amount per unit time of the storage battery, generating a discharge pattern of discharge power for each time zone of the storage battery, and controlling the discharge of the storage battery,
When a predetermined time of the day for performing this discharge control arrives, a new predicted power consumption pattern is generated based on the history of the actual power consumption value of the current day, and the actual power consumption value at that time is A power management method characterized in that, when the predicted power consumption exceeds the predicted power consumption pattern, a power purchase pattern is calculated in consideration of the excess power consumption. When the purchased power pattern including the excess exceeds the target purchased power upper limit value, the target purchased power upper limit value is set as the purchased power, and the power exceeding the target purchased power upper limit value is discharged from the storage battery. The power management method according to claim 4, wherein planning is performed.

Images