JP2017127129A - Storage battery control method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To reduce power purchase or power selling, by promoting the utilization of the power generated in a consumer group.SOLUTION: In a storage battery control method of a storage battery controller controlling charge or discharge of storage batteries in a consumer group constituted while including multiple batteries, and multiple consumer facilities, the storage battery controller selects coefficients between 0 and 1 for a target charge amount or a target discharge amount, according to the situation of a prediction object day. When obtaining a target control amount after correction by using the coefficients, the target control amount after correction is obtained by multiplying the surplus power or insufficient power, based on the measurements in the consumer group during prediction object period, by the coefficients, and the storage batteries are charged or discharged according to the obtained target control value after correction.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a storage battery control 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.
On the other hand, for local production and consumption of natural energy, the use of storage batteries is being promoted not only in units of one consumer such as detached houses but also in units of regions consisting of a plurality of consumers.

JP 2012-10559 A

However, when a plurality of consumers perform local production for local consumption using a plurality of storage batteries, there may be a problem of control error that is almost solved for each consumer. Specifically, in the case where the entire surplus power in the region is stored using a plurality of storage batteries, there is a case where power is purchased due to excessive storage. In addition, even during discharge, there is a case where power is sold due to excessive discharge. When charging / discharging, there is a problem in that local production and consumption of electric power cannot be promoted successfully due to the occurrence of excessive charging and excessive discharging. As one of the causes of such overcharge and overdischarge, for example, if there are tens of thousands of consumers in one consumer group, just collecting data on charging or discharging of each consumer, for example, A time lag of several minutes occurs. In the state where this time lag occurs, when a charge plan or discharge plan is made and a control signal is transmitted to the storage battery of each consumer, if the prediction and the current state match, the charge or discharge that matches the current state Although there is a time lag, there may be a difference between the prediction and the current situation. Therefore, it is desirable to perform charge / discharge control with high accuracy not only when the prediction and the current state match, but also when there is a difference.
In other words, if the energy independence rate is evaluated using the energy independence rate as an index to determine how well natural energy has been used in the region, the problem is that the energy independence rate is deteriorated from the originally expected value due to charge / discharge as described above. There is.

  The present invention has been made in view of such circumstances, and an object thereof is to provide a storage battery control method that promotes utilization of power generated in a customer group and reduces power purchase or power sale. It is in.

  In order to solve the above-described problems, the present invention provides a storage battery control in a storage battery control device that controls charging or discharging of the storage battery in a consumer group that includes a plurality of storage batteries and includes a plurality of customer facilities. In the method, the storage battery control device calculates a coefficient that is greater than 0 and less than or equal to 1 with respect to a target charge amount that is a target charge amount or a target charge amount that is a target discharge amount. When selecting according to the situation and obtaining the corrected target control value using this coefficient, the coefficient is multiplied by the surplus power amount or the insufficient power amount based on the measurement result in the consumer group during the prediction target period. A corrected target control value is obtained, and the storage battery is charged or discharged according to the obtained corrected target control value.

  Moreover, the present invention is characterized in that, in the above-described storage battery control method, an arbitrary value is used as the coefficient for the target charge amount or the target discharge amount.

  As described above, according to the present invention, a coefficient that is greater than 0 and less than or equal to 1 with respect to the surplus power amount or the shortage power amount is selected according to the situation on the prediction target date, and is used as a corrected target. A control value was obtained and charge / discharge control of the storage battery was performed. As a result, surplus power and insufficient power can be prevented from being excessively evaluated, so that occurrence of power purchase or power sale can be reduced.

It is a schematic structure figure showing the example of whole composition of the power management system in this embodiment. 2 is a schematic block diagram illustrating a configuration example of a power management apparatus 200. FIG. 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. 5 is a flowchart for explaining an operation in the power management apparatus 200. It is a figure explaining the surplus electric power and the charge amount in the past. It is a figure showing the amount of charging errors which is the difference of the actual value of the surplus electric power in FIG. 5A, and a control value. It is a figure explaining the power consumption and discharge power in the past. It is a figure showing the amount of discharge errors which is the difference of the actual value of power consumption in FIG. 6A, and a control value. It is a figure explaining the surplus electric power and charge amount at the time of performing charge control by making coefficient (alpha) less than one. It is a figure showing the amount of charge error which is the difference of the actual value of the surplus electric power at the time of performing charge control in the case of performing charge control when coefficient α is less than 1, and a control value. It is a figure explaining the power consumption (insufficient power) and the discharge power when the coefficient β is less than 1 and the discharge control is performed. It is a figure showing the amount of discharge errors which is the difference of the measured value and the control value of the power consumption in a certain consumer group when charge control is performed by making coefficient β less than 1. It is a figure explaining an energy independence rate.

<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 cell 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 a load 106-1. 106-N and the facility-specific control unit 107. 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 another customer facility 10 or may be reversely flowed to the system. 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, the power management apparatus 200 is configured to charge the storage battery 103 of each customer facility 10 in the power management area 1 (a charge pattern indicating the amount of charge power of the storage battery 103 every predetermined time) and a discharge plan (every predetermined time). A discharge pattern indicating the discharge power amount of the storage battery 103 is set up, and the peak of the entire power management area 1 is cut to effectively use the storage battery 103 in each customer facility 10.

[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 storage unit 210 stores various information. The storage unit 210 stores, for example, power consumption history information and coefficient information.
The power consumption history information 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 coefficient information is a coefficient used when calculating the corrected target charging power and calculating the corrected target discharging power.
The coefficient information includes, for example, a coefficient α used when calculating charging power and a coefficient β used when calculating discharging power.
The coefficient α is 0 <α ≦ 1, and the coefficient β is 0 <β ≦ 1. The coefficient α and the coefficient β may be the same number or different numbers. However, the coefficient α can be used as 0 <α <1 and the coefficient β can be used as 0 <β <1.

  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. Further, 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).

  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). Further, when creating the charging plan, the charging plan unit 205 generates a charging plan for charging with the corrected target charging power obtained from the plan correcting unit 211.

FIG. 3 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. 3 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 stores 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. Moreover, the discharge plan part 206 produces | generates the discharge plan charged with the corrected target discharge power obtained from the plan correction | amendment part 211, when producing a discharge plan.

The plan correction unit 211 acquires the coefficient information by reading it from the storage unit 210. When the plan correction unit 211 reads out the coefficient, the plan correction unit 211 selects and reads out the coefficient stored in the storage unit 210 according to the situation on the prediction target date. Here, the plan correction unit 211 calculates the corrected target charging power Qc based on the following equations (1) to (2) using the read coefficient information.
Regional surplus power G = Regional power generation-Regional power consumption (1)
Target charge power after correction Qc = α × G (2)
(However, α can be 0 <α <1 or 0 <α ≦ 1)

In addition, the plan correction unit 211 calculates the corrected target discharge power Qd based on the following formulas (3) to (4) using the read coefficient information.
Regional shortage power P = Regional power consumption-Local power generation (3)
Target discharge power after correction Qd = β × P (4)
(However, β can be 0 <β <1 or 0 <β ≦ 1.)

Next, the operation of the plan correction unit 211 in the power management apparatus 200 will be described.
FIG. 4 is a flowchart for explaining the operation in the power management apparatus 200.
Step S101;
The power management apparatus 200 acquires the generated power of each consumer belonging to the target consumer group managed by the power management apparatus 200. This generated power can be obtained by the generated power prediction unit 202.
Step S102;
Next, the power management apparatus 200 acquires the power consumption of each consumer belonging to the target consumer group managed by the power management apparatus 200. This power consumption can be obtained by the power consumption prediction unit 201.

Step S103;
Next, the plan correction unit 211 of the power management apparatus 200 acquires the coefficient information by reading it from the storage unit 210. Here, the coefficient α and the coefficient β are read out.
Step S104;
Next, the plan correction unit 211 compares the total generated power that is the sum of the power generated by each consumer with the total power that is the sum of the power consumed by each consumer, and the total generated power is greater than the total power consumed. Determine whether it is larger.
Step S105;
When the total generated power is larger than the total consumed power (step S104—YES), the plan correcting unit 211 obtains the regional surplus power G by subtracting the total consumed power from the total generated power.

Step S106;
Then, the plan correction unit 211 multiplies the calculated regional surplus power G by a coefficient α to calculate a corrected target charging power. When the corrected target charging power Qc is calculated, the plan correcting unit 211 outputs the corrected target charging power Qc to the charging planning unit 205.
Step S107;
Based on the corrected target charge power Qc obtained from the plan correction unit 211, the charge plan unit 205 generates a charge plan for storing the amount of power used for peak cut for each storage battery 103 of the customer facility 10. To generate.
Thereby, in the consumer group, the storage battery 103 is charged according to the charging plan generated by the charging plan unit 205.

Step S108;
On the other hand, when the total generated power is smaller than the total power consumption (step S104-NO), the plan correction unit 211 obtains the regional shortage power P by subtracting the total power consumption from the total generated power.
Step S109;
Then, the plan correction unit 211 multiplies the calculated area shortage power P by a coefficient β to calculate a corrected target discharge power Qd. When the corrected target discharge power Qd is calculated, the plan correction unit 211 outputs the corrected target charge power Qd to the charge planning unit 205.
Step S110;
Based on the corrected target discharge power Qd obtained from the plan correction unit 211, the discharge plan unit 206 generates a charge plan for storing the amount of power used for peak cut for each storage battery 103 of the customer facility 10. To generate.
Thereby, in the consumer group, the storage battery 103 is discharged according to the discharge plan generated by the discharge planning unit 206.

  According to the embodiment described above, the local surplus power G is multiplied to some extent by multiplying the local surplus power G by a coefficient α as compared with the case of generating a charging plan based on the value of the local surplus power G itself. By making a charging plan based on the corrected target charging power Qc, which is a value, so-called modest charging can be performed. Further, compared with the case where the discharge plan based on the value of the local shortage power P itself is generated, the corrected target discharge which is a value somewhat lower than the local shortage power P by multiplying the local shortage power P by the coefficient β. By making a discharge plan based on the power Qd, so-called modest discharge can be performed. Thereby, it is possible to effectively use in the area by suppressing erroneous power purchase or erroneous power sale and utilizing the natural energy generated in the area for the storage battery. In other words, since it becomes possible to increase the proportion of power consumed in the region by the power generated in the region, evaluation is performed using the energy independence rate that indicates how much natural energy can be used in the region. In this case, the energy independence rate can be improved.

  In addition, according to the above-described embodiment, it is possible to operate the charge / discharge amount with a stable constant charge / discharge amount without completely following the surplus power and the insufficient power with large fluctuations, thereby extending the life of the storage battery. I can expect.

Here, conventionally, for example, when receiving a charging instruction, the one that has issued the instruction with the intention of using the interchangeable power (the interchangeable power price <the instruction on the assumption that the grid power price is assumed), as a result, is higher than expected from the grid You might buy power at a price. For example, it is a case where the actual power generation amount is decreasing (such as sudden cloudiness) with respect to the power generation amount predicted for the power generation side for the collected data (past performance), but it is almost unpredictable. .
Also, for example, when receiving a discharge instruction, the one that issued the instruction on the premise of being interchanged (the price purchased by the new electric power company, etc. by the interchange> the instruction premised on the price that the system buys), as a result, In some cases, power will be sold at a lower price than expected. For example, it is a case where the predicted load power on the load side is reduced with respect to the collected data (past performance), but it is almost impossible to predict.

  Therefore, according to the above-described embodiment, a value with a coefficient greater than 0 and less than 1 or a value with a coefficient greater than 0 and less than or equal to 1 is selected for the prediction content according to the situation on the prediction target day, By instructing control using the selected coefficient, the effect of the prediction being lost due to factors such as time lag for collecting data from consumers can be reduced, and as a result, electricity costs can be reduced. Become. In addition, the autonomy rate can be improved. For example, a different value can be used for the coefficient depending on the length of the time lag. As an example, a smaller coefficient may be used as the lime lag becomes longer. If the time lag is short, the difference between the total generated power and the total consumed power at the present time and the total generated power and the total consumed power obtained by prediction becomes small, so a value closer to 1 or 1 can be used as a coefficient. For example, this coefficient is obtained by previously storing in the storage unit 210 information that associates a number representing a time lag (time until data related to charging or discharging is collected from the customer facility and control is performed based on the collected data) and the coefficient. The plan correction unit 211 may store the coefficient according to the time lag from the storage unit 210. About time lag, you may specify by inputting from the outside, and the plan correction | amendment part 211 may measure. The time lag may increase or decrease depending on the traffic volume of the communication network. By detecting that the amount of traffic is very small and the number of consumers for data collection is small, it is possible to use the coefficient as 1, and to reduce the coefficient to less than 1 when the traffic volume increases. You can also. As a result, the coefficient can be selected according to the system status (for example, the communication status) on the prediction target date, and charging / discharging correspondingly depending on the coincidence or difference between the prediction due to the system status and fluctuation and the current status. Control can be performed.

  The coefficient may be selected according to the weather on the prediction target day. For example, information that associates information representing weather (sunny, cloudy, sunny and cloudy, sunny and sometimes cloudy, rain, and the like) with a coefficient is stored in the storage unit 210 in advance. The weather forecast is received from an external server. When the weather forecast for the prediction target day is sunny and the actual weather on the prediction target day (control implementation date) is sunny, the weather is unlikely to change, and the generated power tends to be as predicted. In addition, since fluctuations in power consumption such that the air conditioner is repeatedly turned on and off are easily reduced, a coefficient closer to 1 or 1 is used in that case. On the other hand, if the weather is such that clouds are generated intermittently and the cloudy and sunny conditions are repeated, the weather is not stable. Since the machine is likely to be turned on and off, power consumption fluctuations are also more likely to occur than when the weather is stable. In that case, a coefficient smaller than 1 or 1 is used. As a result, the coefficient can be selected according to the weather condition on the prediction target day, and charge / discharge control can be performed in accordance with the coincidence or difference between the prediction caused by the weather fluctuation and the current situation.

  Further, when data is collected from a consumer at regular intervals, it may be determined according to the time from when the data is collected until the control command is actually output. For example, when collecting data from consumers at intervals of several tens of minutes, every hour, etc., use a smaller coefficient as the elapsed time from the time when the latest data was collected becomes longer. Also good. In this case, the storage unit 210 stores information by associating the elapsed time from the data collection timing with a coefficient, and the plan correction unit 211 measures and measures the elapsed time from the latest data collection timing. A coefficient corresponding to the elapsed time may be read from the storage unit 210.

  In the above-described embodiment, the plan correction unit 211 may change and use the coefficient value so that the storage battery 103 is completely charged by the charging end time zone of the day. For example, a coefficient closer to 1 may be used as it approaches the sunset time on the day of control. For example, when reaching about two hours before the sunset time, a larger coefficient may be selected thereafter, and the coefficient may be selected to be 1 at the sunset time. Thus, the remaining capacity of the storage battery 103 can be charged to 100% or a value close to 100% by sunset.

FIG. 5A is a diagram illustrating conventional surplus power and charge amount. The vertical axis is power, and the horizontal axis is time. In this figure, the actual measurement value represents the measurement value of surplus power at the time when surplus power is generated. The control value represents the charging power used in the control as the charging power at the time when the measured value is collected from each consumer and the charge / discharge control is actually performed. That is, there is a difference between the time when the actual measurement value is obtained and the time when the charging control is actually performed. For example, even if the actual measurement value is 5000 W at a certain point in time, even if the surplus power is reduced to 4500 W before the charging control based on the measurement value is performed, 5000 W is used as the charging power. A difference of 500W occurs.
FIG. 5B is a diagram illustrating a charging error amount that is a difference between an actual measured value of surplus power and a control value in a certain consumer group. The vertical axis is the electric energy, and the horizontal axis is the time. In this figure, the total amount of charging error per hour is shown. Here, in the case where overcharge is performed, the power generated by the solar battery 101 is lower than at the time of measurement at the time of actual charge control, so the generated power is charged according to the control value. This means that the storage battery 103 has been charged using commercial power. When charging from this commercial power occurs, more power is required than necessary. Here, reducing the amount of overcharge is preferable from the viewpoint of reducing the amount of power purchase.

  According to the above-described embodiment, the region surplus power G is multiplied by a coefficient to obtain the corrected target charging power to be used as a control value, and the charging control is performed according to the corrected target charging power. It is possible to prevent the occurrence of overcharging, and it is possible to reduce the occurrence of excessive charging.

FIG. 6A is a diagram illustrating conventional power consumption and discharge power. The vertical axis is power, and the horizontal axis is time. In this figure, the actual measurement value represents the measured value of the discharge power at the time when the discharge power is generated. The control value represents the power used in the control as the discharge power at the time when the measured value is collected from each consumer and the charge / discharge control is actually performed. That is, there is a difference between the time when the actual measurement value is obtained and the time when the actual discharge control is performed. For example, even if the actual measurement value is 5000 W at a certain point in time, even if the discharge power is reduced to 4500 W before the discharge control based on the measurement value is performed, 5000 W is used as the discharge power. A difference of 500W occurs.
FIG. 6B is a diagram illustrating a discharge error amount that is a difference between an actual measurement value and a control value of power consumption in a certain consumer group. The vertical axis is the electric energy, and the horizontal axis is the time. In this figure, the total amount of discharge error per hour is shown. Here, as a case where excessive discharge is performed, the power consumption in the consumer group is lower than that at the time of measurement at the time when actual discharge control is performed. This means that power is sold to the system and other consumer groups because power consumption according to the control value is not performed. When this excessive discharge occurs, more power is sold than necessary. Here, it is preferable to reduce the amount of excessive discharge from the viewpoint of reducing the amount of power sold.

  According to the above-described embodiment, since the corrected target discharge power used as the control value is obtained by multiplying the local power shortage P by a coefficient, it is possible to prevent the power shortage from being excessively evaluated. Therefore, the occurrence of excessive discharge can be reduced.

FIG. 7A is a diagram for explaining surplus power and charge amount when charge control is performed with the coefficient α set to less than 1. In this figure, as an example, the case where the coefficient is 0.8 is shown. The vertical axis is power, and the horizontal axis is time. Moreover, in this figure, the actual measurement value represents the measured value of the surplus power when the surplus power is generated. The control value represents the charging power used in the control as the charging power at the time when the measured value is collected from each consumer and the charge / discharge control is actually performed. That is, in most cases, the control value is reduced from exceeding the actual measurement value, and by selecting the coefficient according to the situation on the prediction target date, the surplus power can be used more effectively than before. can do. In addition, it is possible to reduce the increase in purchased power.
FIG. 7B is a diagram illustrating a charging error amount which is a difference between an actual measured value of surplus power and a control value when charging control is performed with the coefficient α set to less than 1. In this figure, as an example, the case where the coefficient is 0.8 is shown. The vertical axis is the electric energy, and the horizontal axis is the time. In this figure, the total amount of charging error per hour is shown. Here, by selecting a coefficient according to the situation on the prediction target date, the excessive charge amount can be reduced as compared with the conventional case. That is, it is possible to reduce the increase in power purchase due to an error in charge control.

FIG. 8A is a diagram for explaining power consumption (insufficient power) and discharge power when discharge control is performed with the coefficient β less than 1. FIG. In this figure, as an example, the case where the coefficient is 0.8 is shown. The vertical axis is power, and the horizontal axis is time. In this figure, the actual measurement value represents the measured value of the discharge power at the time when the discharge power is generated. The control value represents the power used in the control as the discharge power at the time when the measured value is collected from each consumer and the charge / discharge control is actually performed. That is, in most cases, the control value is reduced from exceeding the measured value of power consumption, and by selecting a coefficient according to the situation on the prediction target date, the control value is accumulated in the storage battery 103 compared to the conventional case. Power can be supplied to the customer group in which the storage battery 103 is installed. In addition, it is possible to reduce the increase in power sales power.
FIG. 8B is a diagram illustrating a discharge error amount that is a difference between a measured value of power consumption and a control value in a certain consumer group when charge control is performed with the coefficient β set to less than 1. In this figure, as an example, the case where the coefficient is 0.8 is shown. The vertical axis is the electric energy, and the horizontal axis is the time. In this figure, the total amount of discharge error per hour is shown. Here, the excess discharge amount can be reduced as compared with the prior art by selecting a coefficient according to the situation on the prediction target date. That is, it is possible to reduce an increase in power sales due to an error in discharge control.

  FIG. 9 is a diagram for explaining the energy self-reliance rate. This figure shows the result of a simulation assuming a certain period in a customer group consisting of several domestic customers. Here, assuming an ideal state (for example, a state where there is no time lag until data collection from a consumer and charge / discharge control is performed), current operation (conventional operation), operation with conservative charging (charge control) , When the coefficient α is 0.8 and discharge control is normal), operation by conservative discharge (charge control is normal, when discharge control is coefficient β is 0.8), operation by conservative charge and discharge (charging) The control is illustrated for the case where the coefficient α is 0.8 and the discharge control is the coefficient β is 0.8). In the ideal state, the energy self-supporting rate is 55.2%, but in the current operation, it is 53.1%, and a loss of 3.1% occurs. Compared to this, when the modest charge is performed, the energy self-sustained rate is 53.8%, which is 0.7% improvement compared to the current operation. When the modest discharge is performed, the energy self-sustained rate is 53. This was 5%, an improvement of 0.4% compared to the current operation. And when performing conservative charge / discharge, the energy self-sustained rate was 54.4%, which is an improvement of 1.4% compared to the current operation.

In the above-described embodiment, the coefficient may be selected according to the time until data related to charging or discharging is collected from the customer facility and control based on the collected data is performed. Thereby, a coefficient can be selected according to the communication condition in a prediction object day.
In the above-described embodiment, the coefficient may be selected according to the weather on the prediction target day. Thereby, a coefficient can be selected according to the weather condition in a prediction object day.

  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. Further, 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 correction unit

Claims (2)

A storage battery control method in a storage battery control device for controlling charging or discharging of the storage battery in a consumer group comprising a plurality of storage batteries and including a plurality of customer facilities,
The storage battery control device
A coefficient that is greater than 0 and less than or equal to 1 for the target charge amount that is the target charge amount or the target discharge amount that is the target discharge amount is selected according to the situation on the prediction target day, and this coefficient is used. In obtaining the corrected target control value, the corrected target control value is obtained by multiplying the surplus power amount or the insufficient power amount based on the measurement result in the consumer group in the prediction target period by the coefficient. A storage battery control method comprising charging or discharging the storage battery according to a corrected target control value.   The storage battery control method according to claim 1, wherein an arbitrary value is used as the coefficient with respect to the target charge amount or the target discharge amount.

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