JP2020120424A - Storage battery control system, storage battery control method, and program - Google Patents

Abstract

To reduce a peak value of power received from a power system even when using a storage battery having small capacity.SOLUTION: A storage battery control system comprises: estimation means for estimating demand for each device by analyzing a total demand of a user; acquisition means for acquiring capacity of a storage battery corresponding to the user; and control means for controlling discharge of the storage battery, based on time change information and the capacity of the storage battery in demand for each device.SELECTED DRAWING: Figure 2

Description

The present invention relates to a storage battery control system, a storage battery control method, and a program.

The electric power received from the electric power system can be measured by a power meter. At present, the amount of electric power measured by a power meter (so-called smart meter) having a communication function (hereinafter also referred to as “total demand”) is analyzed to determine the amount of electric power for each device existing in the demand area (hereinafter referred to as “demand”) Techniques for estimating have been proposed. This technique is called a power disaggregation technique or the like. Today, the power disaggregation technology is used for the purpose of visualizing the demand of each device that receives power in a demand area.

"Power management/efficiency service "Bidgely" for general households", [online], The SV Startups100, [Search November 26, 2018], Internet (URL: https://svs100.com/bidgely/)

In order to reduce the peak value of the electric power received from the power system, the electric power may be supplied from the storage battery during the period when the peak value appears. However, the accuracy of forecasting the time change of total demand is generally low. For this reason, it is necessary to install a storage battery having a large capacity. However, since a large-capacity storage battery is expensive, the cost burden on the consumer becomes large. On the other hand, if a storage battery with a small capacity is installed, the peak value of the electric power received from the electric power system cannot be lowered when the prediction is wrong.

An object of the present invention is to make it possible to reduce the peak value of the electric power received from the electric power system even when using a storage battery having a small capacity.

The invention according to claim 1 estimates the demand for each device by analyzing the total demand of the consumer, the obtaining device for obtaining the capacity of the storage battery corresponding to the consumer, and the demand for each device. A storage battery control system comprising: a control unit that controls discharge of the storage battery based on time change information and the capacity of the storage battery.
According to a second aspect of the present invention, the control means controls the discharge of the storage battery based on the time change information of the demand of the device and the capacity of the storage battery of which the operating time ratio is smaller than other devices. The storage battery control system according to claim 1.
According to a third aspect of the present invention, the control means discharges the storage battery based on the time change information of the demand of each device estimated by using the prediction data on the weather or environment of the demand area and the storage battery capacity. It is a storage battery control system of Claim 1 or 2 which controls.
According to a fourth aspect of the present invention, the control means discharges the storage battery based on the time change information of the demand of the device and the capacity of the storage battery having a higher degree of freedom in operating time in the demand area than other devices. It is a storage battery control system of Claim 1 which controls.
The invention according to claim 5 further has an instruction means for instructing a part of the devices to change the operation schedule based on the forecast data on the weather or environment of the demanded area, and the control means is provided after the change. It is a storage battery control system of Claim 1 which uses the time change information of the demand estimated using the operation schedule for control of discharge of a storage battery.
In the invention according to claim 6, the control means further includes an instruction means for instructing a device having a higher degree of freedom in operating time in a demand area than other devices to change the operation schedule, The control means is the storage battery control system according to claim 1, wherein the time change information of the demand predicted using the changed operation schedule is used for controlling the discharge of the storage battery.
The invention according to claim 7 is characterized in that the control means controls the discharge of the storage battery based on the time change information of the total demand reflecting the time change information of the changed demand and the capacity of the storage battery. Or the storage battery control system according to item 6.
The invention according to claim 8 is characterized in that, when the total demand may exceed the target value, the control means individually controls the devices with low priorities to individually reduce the demand. Is a storage battery control system.
In the invention according to claim 9, when the total demand is likely to exceed the target value, the control means provides the customer with a recommended operation plan or a change plan of the operation schedule of a specific device. It is a storage battery control system of Claim 1 which notifies.
In the invention according to claim 10, a process of acquiring the demand for each device estimated by analyzing the total demand of the consumer, time change information of the demand for each device acquired for the consumer, and the demander A storage battery control method comprising: a process of controlling discharge of a storage battery corresponding to the consumer based on the capacity of the corresponding storage battery.
According to an eleventh aspect of the present invention, a computer analyzes a total demand of a consumer to estimate a demand for each device, a function of acquiring a capacity of a storage battery corresponding to the consumer, and a demand for each device. Is a program for executing the function of controlling the discharge of the storage battery based on the time change information and the capacity of the storage battery.

According to the invention described in claim 1, even when the storage battery having a small capacity is used, the peak value of the electric power received from the electric power system can be reduced.
According to the invention of claim 2, the peak of the total demand can be easily specified.
According to the invention described in claim 3, it is possible to improve the prediction accuracy of the peak of the total demand.
According to the invention of claim 4, the peak of the total demand can be easily specified.
According to the invention of claim 5, the peak of the total demand can be reduced.
According to the invention of claim 6, the peak of the total demand can be reduced.
According to the invention described in claim 7, it is possible to improve the prediction accuracy of the peak of the total demand.
According to the invention described in claim 8, the peak of the total demand can be reduced.
According to the invention of claim 9, it is possible to prompt the consumer to take a specific action.
According to the invention described in claim 10, even when a storage battery having a small capacity is used, the peak value of the electric power received from the electric power system can be reduced.
According to the invention described in claim 11, even when using a storage battery having a small capacity, the peak value of the electric power received from the electric power system can be reduced.

FIG. 3 is a diagram illustrating an outline of a network system assumed in the first embodiment. FIG. 3 is a diagram showing an example of a functional configuration of a discharge timing control server used in the first embodiment. 5 is a flowchart illustrating an example of control by a discharge timing control server used in the first embodiment. It is a figure explaining disaggregation. (A) shows the time change of the total demand before the disaggregation, and (B) shows the time change of the demand for each device after the disaggregation. FIG. 6 is a diagram illustrating an example of controlling discharge timing according to the first embodiment. (A) is an example of discharge timing control according to the first embodiment, and (B) is an example of discharge timing control according to a comparative example. FIG. 6 is a diagram illustrating an outline of a network system assumed in the second embodiment. FIG. 9 is a diagram showing an example of a functional configuration of a discharge timing control server used in the second embodiment. 9 is a flowchart illustrating an example of control by a discharge timing control server used in the second embodiment. FIG. 9 is a diagram illustrating an example of controlling discharge timing according to the second embodiment. (A) is a control example according to the first embodiment, and (B) is a control example according to the second embodiment.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.

<Embodiment 1>
<Explanation of network system>
FIG. 1 is a diagram for explaining the outline of the network system 1 assumed in the first embodiment.
The network system 1 shown in FIG. 1 includes a consumer system 20 that receives power through the power system 10, a discharge control system 30 that controls the discharge timing of a storage battery 21 provided on the consumer side, and the Internet 40 as a communication network. It is configured.
The discharge control system 30 here is an example of a storage battery control system.
Discharge control system 30 in the present embodiment provides a plurality of customers with a service for controlling the discharge timing of storage battery 21 associated with each customer. The storage battery 21 does not need to be owned by the consumer.

In the case of the present embodiment, the consumer system 20 is used to supply a storage battery 21 as an auxiliary power source, a power meter 22 that measures the total demand received from the power system 10 per unit time, and power within the demand area. The power line 23, a device 24 that consumes power, and a router (RT) 25 that controls communication with the Internet 40 and communication within a demand area are included.
The storage battery 21 here is charged during a time period when demand is low and discharged during a time period when demand is high. The discharge control system 30 provides an algorithm and a schedule for controlling the discharge timing.

The electric power meter 22 has a communication function of transmitting the total demand measured, for example, every 30 minutes to the total demand database 32 via the Internet 40. This kind of power meter 22 is also called a smart meter. However, in the present embodiment, the total demand measured by the power meter 22 is used to estimate the demand for each device, and therefore, it is desirable that the measurement unit be short in order to improve the estimation accuracy. For example, the power meter 22 may transmit the total demand measured every 10 minutes, every 5 minutes, or every 1 minute to the total demand database 32.
The device 24 in the present embodiment is a power device such as a motor. However, the device 24 is not limited to the power device. For example, the router 25 is also a form of the device 24. Note that N in the figure is a natural number of 2 or more.

The discharge control system 30 according to the present embodiment includes a discharge timing control server 31 that controls the discharge timing of the storage battery 21 for each consumer, and a total demand database (total demand DB) 32 that stores information on the total demand for each consumer. And a storage battery capacity database (storage battery capacity DB) 33 that stores information on the capacity of the storage battery 21 at the current time, which is associated with each consumer.
In the total demand database 32, the value of the total demand notified from the power meter 22 installed in the consumer system 20 is recorded in association with the consumer. When there is no discharge from the storage battery 21, the value of the total demand measured by the power meter 22 and the value of the total demand that is the total of the electric power consumed by the devices 24 and the like in the consumer system 20 match. In this embodiment, since it is the time to determine the timing of discharging the storage battery 21, the database that records the value of the measured total demand is called the total demand database 32.

In the storage battery capacity database 33, information on the capacity of the storage battery 21 provided in the customer system 20 at the current time (hereinafter, also simply referred to as “capacity”) is recorded in association with each customer. The capacity at the current time corresponds to the remaining capacity (dischargeable electric energy) of the storage battery 21 at each time point, and is registered in the storage battery capacity database 33 through communication with the router 25. The remaining capacity (dischargeable electric energy) is updated at a predetermined time or interval. The initial value (rated capacity) of the capacity of the storage battery 21 may be registered in the storage battery capacity database 33.
The discharge control system 30 shown in FIG. 1 includes a discharge timing control server 31, a total demand database 32, and a storage battery capacity database 33. However, the total demand database 32 and the storage battery capacity database 33 are provided by different operators. It may exist in the operating system. The discharge timing control server 31 here is also an example of a storage battery control system.

FIG. 2 is a diagram showing an example of a functional configuration of the discharge timing control server 31 used in the first embodiment.
The discharge timing control server 31 has a configuration as a computer. That is, the discharge timing control server 31 includes a CPU (Central Processing Unit) that controls the entire apparatus through execution of programs (including basic software), and a ROM (Read Only Memory) that stores a BIOS (Basic Input Output System) and the like. It has a RAM (Random Access Memory) used as a program execution area, a non-volatile storage device, and the like. For the non-volatile storage device, for example, a semiconductor memory or a hard disk device is used.

In the case of the present embodiment, the discharge timing control server 31 realizes the functions shown in FIG. 2 by executing the program.
In the case of FIG. 2, the discharge timing control server 31 decomposes the total demand of each consumer into the demand of each device 24 (see FIG. 1) provided in the consumer system 20 (see FIG. 1). And a demand prediction unit 312 that predicts demand for each device 24 based on past performance values, the immediately preceding demand situation, weather forecasts regarding demand areas, and the capacity of the storage battery 21 (see FIG. 1) for each consumer. As a storage battery capacity acquisition unit 313, and as a discharge timing control unit 314 that controls the discharge timing of the storage battery 21 based on the relationship between the demand predicted for each device or the total demand calculated as the sum thereof and the capacity of the storage battery 21. Perform the function of.

A known technique can be used for the disaggregation unit 311. For example, the devices 24 (see FIG. 1) configuring the consumer system 20 do not necessarily need to be known, and all the devices 24 may be unknown. However, the estimation accuracy increases as the number of known devices 24 increases. The disaggregation unit 311 according to the present embodiment estimates the demand for each device using, for example, a learned model that decomposes the total demand into the demand for each device.

For example, when the demand area is a factory, the total demand is the demand for air-conditioning equipment that depends on the temperature, the demand for factory equipment that requires operation (the timing of operation cannot be controlled), and the factory equipment that can control the timing of operation. Is broken down into demand.
In the present embodiment, after disassembling into individual devices, the devices are classified into groups having similar demand fluctuation patterns. For the classification here, for example, a model that learns the relationship between the fluctuation pattern of demand and the operation timing of the device may be used. The fact that the operation timing can be controlled means that the operation timing has a high degree of freedom.

The demand prediction unit 312 according to the present embodiment predicts the demand from the demand trend of each device accumulated for the same consumer. However, the demand of each device may be predicted from the tendency of the demand common to the customers having similar sizes and types of industries.
If the wattmeter 22 (see FIG. 1) notifies the total demand almost in real time and the information of the demand immediately before each device (for example, from several hours before to the current time) is also available, the immediately preceding change The change in demand that occurs after the current time may be predicted based on the pattern.

Further, when the forecast data regarding the weather or environment of the day is available, the change in demand that occurs after the current time may be forecast based on the forecast data. The forecast data here includes, for example, a weather forecast, a forecast of the concentration of fine particulate matter, a forecast of temperature, a forecast of humidity, and the like. If the forecast data related to the weather and the environment can be used, the operating condition of the air conditioner on the day can be forecast with high accuracy.

The disaggregation unit 311 in this embodiment functions as an example of an estimation unit. The function of the disaggregation unit 311 may be executed by a business operator different from the function of the demand prediction unit 312, and the demand prediction unit 312 may acquire only the processing result.
The storage battery capacity acquisition unit 313 acquires information on the capacity of the storage battery 21 at the current time for each consumer who uses the discharge timing control service. The information on the acquired capacity is given to the discharge timing control unit 314 for each consumer. The storage battery capacity acquisition unit 313 here is an example of an acquisition unit.

The discharge timing control unit 314 determines the timing of discharging the storage battery 21 based on the relationship between the predicted demand for each device and the available capacity of the storage battery 21 at the current time.
In the case of the present embodiment, the capacity value stored in the storage battery capacity database 33 is used as the capacity of the storage battery 21 at the current time. When the capacity of the storage battery 21 at the time of determining the discharge timing can be measured or calculated, it is desirable to use the latest capacity value.
The discharge timing control unit 314 is an example of control means.

There are several methods for determining the discharge timing.
For example, there is a method of focusing on the peak portion (maximum portion) of the total demand. The peak portion is searched every cycle of total demand. For example, it is searched on a daily basis. Note that the past year may be searched as a unit.
First, the discharge timing control unit 314 calculates the total demand waveform as the total demand estimated for each device.
Next, the discharge timing control unit 314 calculates the area (that is, the amount of power) of the region including the peak portion of the waveform of the total demand with a certain power value as the base.

Furthermore, the discharge timing control unit 314 obtains a power value that gives a base so that the area (power amount) of the region including the peak portion of the waveform of the total demand matches the capacity of the storage battery 21 at the current time. At this time, the time when the electric power value that gives the bottom of the region including the peak portion intersects the waveform of the total demand is the time when the discharge of the storage battery 21 starts and the time when the discharge ends. However, when the remaining capacity of the storage battery 21 becomes zero at the time of ending the discharge, the time of ending the discharge does not have to be determined.

As in this embodiment, the total demand calculated as the sum of the demands for each device predicted after the disaggregation has higher prediction accuracy than the case where the total demand is simply predicted without the disaggregation. ..
For this reason, it is not necessary to use a large capacity in case the prediction is wrong as in the prior art. That is, even if the storage battery 21 having a small capacity is used, it is possible to control the discharge of the storage battery 21 so as to reduce the peak value of the total demand.

In addition, the discharge timing may be determined so as to focus on the device 24 having a relatively large change in demand and reduce the peak value of the demand of the corresponding device 24. This is because it is considered that there is little need to temporarily reduce the demand of the device 24 whose change in demand is small and the contribution to the reduction of total demand is small.
By the way, in the case where the device 24 having a larger change in demand than the other devices 24 can be specified, the discharge timing of the storage battery 21 is determined for the specified single device 24 or a set thereof.

In the case of the present embodiment, in order to identify the device 24 having a large change in demand, for example, attention is paid to individual demands having peaks near the time at which the peak of total demand appears. Even if the range of change in demand is large for a short time in a device 24, if the position where the peak appears is far from the peak of the total demand, the demand of the corresponding device 24 is reduced. This is because even if the storage battery 21 is discharged, the effect of reducing the peak of the total demand is not great.
However, if the magnitude of change in demand is greater than or equal to a predetermined value, a high correlation is often expected between the time when a single peak of demand appears and the time when the peak of total demand appears. It When this condition is satisfied, the process of searching for a demand having a peak near the time at which the peak of the total demand appears is unnecessary.

For example, when one device 24 or a set thereof in which the demand peak appears within a predetermined range in the predetermined time axis direction from the time when the total demand peak appears, the discharge timing control unit 314 causes the corresponding device The discharge timing of the storage battery 21 is determined for the demand of 24.
For example, the discharge timing control unit 314 obtains a power value that gives a base so that the area (power amount) of the region including the peak portion of the demand-only waveform of the corresponding device 24 matches the capacity of the storage battery 21 at the current time. .. At this time, the time when the power value that gives the bottom of the region including the peak portion intersects the demand waveform of the corresponding device 24 is the time when the storage battery 21 starts discharging and the time when discharging ends.

When the amount of power that can be supplied from the storage battery 21 is larger than the demand of the corresponding device 24, the demand of another device alone is based on the peak of the demand after the reduction estimated by the discharge of the storage battery 21. The discharge timing may be determined based on the relationship between and the remaining capacity of the storage battery 21.
As described above, even if the discharge timing is determined by focusing only on the demand of the single device 24, the effect of reducing the peak of the total demand can be realized. However, in order to enhance the effect of reduction, it is more desirable to focus on the waveform of total demand.

In addition, when a plurality of devices 24 in which the demand peak appears within a predetermined time from the time when the total demand peak appears, the discharge timing control unit 314 focuses on the time change rate information and discharges the storage battery 21. The timing may be determined.
This is because it is considered that the larger the time change rate, the steeper the peak of the demand waveform and the greater the effect of raising the peak of total demand.

<Control example>
FIG. 3 is a flowchart illustrating a control example by the discharge timing control server 31 (see FIG. 1) used in the first embodiment. The symbol S in the figure represents a step.
First, the discharge timing control server 31 acquires the total demand of customers (step 1). The total demand is an actual value measured by the power meter 22 (see FIG. 1).
Next, the discharge timing control server 31 estimates the demand for each device from the acquired total demand (step 2). This processing is executed by the disaggregation unit 311 (see FIG. 2).

FIG. 4 is a diagram for explaining disaggregation. (A) shows the time change of the total demand before the disaggregation, and (B) shows the time change of the demand for each device after the disaggregation. The horizontal axis here is time, and the vertical axis is demand. In the case of FIG. 4, the horizontal axis is one day, the left end of the time axis is 0:00, and the right end is 24:00. Therefore, the center of the time axis is 12 o'clock.
Although it is possible to grasp the time change of the total demand from the waveform showing the time change of the total demand before the disaggregation shown in FIG. 4A, it is not possible to understand the reason why the peak of the total demand appears around 12:00. ..

On the other hand, from the waveform after the disaggregation shown in FIG. 4B, not only the waveform showing the time change of the total demand but also the time change of the demand for each device used in the demand place can be grasped.
In the case of FIG. 4(B), the total demand is almost constant standby power throughout the day, the demand for air conditioning equipment that fluctuates depending on the temperature, and the almost constant demand corresponding to factory equipment that must operate. And the operating timing is broken down into demand corresponding to the factory equipment that can be controlled. In FIG. 4, the standby power is shown independently of the demand of each device.

Returning to the description of FIG. In the case of the present embodiment, after step 2, the discharge timing control server 31 acquires the capacity of the storage battery 21 (see FIG. 1) provided by the customer at the current time (step 3). This process is executed by the storage battery capacity acquisition unit 313 (see FIG. 2). The acquisition of the capacity of the storage battery 21 at the current time may be executed before the process of step 5 is started.
Next, the discharge timing control server 31 predicts the demand for each device by using the weather forecast of the demand place or the like (step 4). For example, the demand for air conditioners is likely to fluctuate under the influence of the temperature and humidity of the day to be predicted. Further, for example, the demand for factory equipment whose operating state varies depending on the order quantity is likely to vary under the influence of the production schedule of the day to be predicted.

FIG. 5 is a diagram illustrating an example of controlling discharge timing according to the first embodiment. (A) is an example of discharge timing control according to the first embodiment, and (B) is an example of discharge timing control according to a comparative example. Here, the horizontal axis represents time and the vertical axis represents demand (kW). In the case of FIG. 4, the vertical axis is the actual demand value, whereas in the case of FIG. 5, it is the future demand of consumption demand.
Also in the case of FIG. 5, the horizontal axis is one day, the left end of the time axis is 0:00, and the right end is 24:00. Therefore, the center of the time axis is 12 o'clock.

As shown in FIG. 5A, by predicting the demand for each device after disaggregation, the accuracy of the prediction becomes high. In particular, it is possible to predict with high accuracy the demand for air conditioning equipment affected by temperature and the demand for factory equipment affected by the production schedule. As a result, the waveform representing the change in the total demand matches the waveform representing the change in the actual total demand with high accuracy.

Therefore, by determining the discharge start time and discharge end time so as to include the peak portion of the waveform that represents the change in total demand calculated as the total change in demand predicted for each device after disaggregation. Even when the storage battery 21 having a small capacity (see FIG. 1) is used, it is possible to reduce the peak value of the total demand. In particular, when the peak value of total demand corresponds to the peak value for one year, the contracted power of the corresponding consumer can be reduced by the storage battery 21 having a smaller capacity.

On the other hand, in the control without disaggregation, as shown in FIG. 5(B), a situation may occur in which the time when the storage battery 21 starts discharging and the time when discharging ends do not include the actual peak value of demand.
In this case, it is not possible for the consumer to reduce the power received from the power system 10 (see FIG. 1). Therefore, in the conventional system in which the prediction accuracy of the total demand is low, the storage battery 21 having a large peak capacity is installed in consideration of the case where the prediction is wrong.

Returning to the description of FIG. After execution of step 4, the discharge timing control server 31 determines the discharge timing of the storage battery 21 so as to reduce the peak value of the total demand calculated as the sum of the demands predicted for each device, and instructs the storage battery 21 ( Step 5).
According to the control according to the present embodiment, the storage battery 21 can be discharged during a time period when the total demand is at a peak, so even if the usable capacity of the storage battery 21 is small, the peak of the power received by the consumer from the power system 10 The value can be reduced.

<Second Embodiment>
In the case of the first embodiment described above, the discharge timing of the storage battery 21 is controlled on the premise of the demand predicted for each device, but in the present embodiment, the peak value of the total demand is more positively lowered. The case of combining technologies will be described.
FIG. 6 is a diagram for explaining the outline of the network system 1A assumed in the second embodiment. In FIG. 6, reference numerals corresponding to the portions corresponding to those in FIG. 1 are attached.
The network system 1A shown in FIG. 6 includes a consumer system 20A that receives power through the power system 10, a discharge control system 30A that controls the discharge timing of the storage battery 21 provided on the consumer side, and the Internet 40 as a communication network. It is configured. The discharge control system 30A here is an example of a storage battery control system.

The consumer system 20A according to the second embodiment differs from the consumer system 20 according to the first embodiment in that a device control terminal 26 that controls the operation of the device 24 is added.
The device control terminal 26 is a computer having a communication function, and controls the operation schedule and operation mode switching of the device 24 under management according to an instruction from the discharge control system 30A. The device control terminal 26 and the device 24 are connected via the router 25.
On the other hand, the discharge control system 30A has a discharge timing control server 31A having a function of reducing the peak itself of the total demand, in addition to the discharge from the storage battery 21, and is different from the discharge control system 30 in the first embodiment. Different. The discharge timing control server 31A here is also an example of a storage battery control system.

FIG. 7 is a diagram showing an example of the functional configuration of the discharge timing control server 31A used in the second embodiment. In FIG. 7, reference numerals corresponding to those corresponding to those in FIG. 2 are attached.
The discharge timing control server 31A in the present embodiment is different in that an operation schedule changing unit 315 that changes the operation schedule of each device based on the demand demanded for each device is added.

The operating schedule changing unit 315 executes, for example, changing the operating schedule for reducing the peak demand of the air conditioning equipment, changing the operating schedule for reducing the peak demand of the equipment whose operation timing can be controlled, and other changes.
In addition, in the case of the present embodiment, when the total demand after the change of the operation schedule and the demand predicted by the discharge from the storage battery 21 exceed the contracted power, the operation schedule changing unit 315 determines that the demand of the device with the lower priority order. It also has a function to change the operation schedule so that it can be selectively lowered. The contracted power here is an example of a target value.
The instruction to change the operation schedule is notified from the operation schedule changing unit 315 to the device control terminal 26, and the operation of the corresponding device 24 (see FIG. 6) is individually changed by the device control terminal 26. The operation schedule changing unit 315 here is an example of an instruction unit.

<Control example>
FIG. 8 is a flowchart illustrating a control example by the discharge timing control server 31A (see FIG. 7) used in the second embodiment. Note that in FIG. 8, reference numerals corresponding to those corresponding to FIG. 3 are attached. Therefore, the symbol S in the figure represents a step.
The discharge timing control server 31A also disaggregates the total demand acquired for each consumer into the demand for each device (steps 1 and 2), and acquires the capacity of the storage battery 21 usable at the corresponding consumer at the current time. (Step 3).

Next, the discharge timing control server 31A changes the operation schedule of the air conditioning equipment using the weather forecast of the demand area and the like, and predicts the demand of each equipment (step 11).
For example, when it is predicted that the temperature will rise, the operation schedule is changed so that the time for operating the air conditioner becomes longer. Specifically, the air conditioners are started to operate at a time earlier than the standard operation schedule to suppress a rapid increase in demand required to maintain room temperature. The prediction of demand for each device is the same as in the first embodiment.

Subsequently, the discharge timing control server 31A changes the operation schedule so as to disperse the operation time of the devices whose operation timing can be controlled, and again predicts (re-estimates) the demand of the corresponding device after the change (step 12). ).
For example, for equipment whose demand is increasing due to concentrated operating hours, the required production amount is secured while extending the operating hours to reduce the demand per unit time.
Next, the discharge timing control server 31A determines the discharge timing of the storage battery 21 so as to lower the corrected peak value of the total demand, and instructs the storage battery 21 (step 13).
In the case of the present embodiment, the discharge timing control server 31A determines whether or not the peak value of the power received from the power system 10 that is predicted when combining the change of the operation schedule and the discharge from the storage battery 21 is smaller than the contract power. Is determined (step 14).

When a positive result is obtained in step 14, the control by the discharge timing control server 31A ends.
On the other hand, when a negative result is obtained in step 14, the discharge timing control server 31A executes the control so as to reduce the demand of the device with the low priority (step 15), and then returns to step 11.

The priority here is determined based on a predetermined rule in relation to the activity in the demand area. For example, in the case of a factory, the priority of factory equipment that must operate is higher than the priority of factory equipment whose operation timing can be controlled. When the influence of changes in the indoor environment such as room temperature on the production is low, the priority of the air conditioners is low. Of course, when a change in the indoor environment such as room temperature affects the quality of the manufactured product, the priority of the air conditioning equipment becomes high.
The control for reducing the demand includes, for example, control for stopping the operation of the corresponding device. There is also control for reducing the power consumed per unit time by switching the operation mode to the low speed mode, for example. Increasing the set temperature of the air conditioner also has the effect of reducing the power consumed per unit time.

FIG. 9 is a diagram illustrating an example of controlling discharge timing according to the second embodiment. (A) is a control example according to the first embodiment, and (B) is a control example according to the second embodiment.
As shown in FIG. 9B, in the present embodiment, the air conditioning control by the air conditioning equipment is started earlier, so that the demand for the air conditioning equipment is leveled.
There is no change in the demand for factory equipment, which is essential for operation. Therefore, the waveform of the total demand obtained by adding the demand for the air conditioner and the demand for the factory equipment in which operation is essential to the standby power shown in FIG. 9B is lower than that in the first embodiment.

Further, in the example of FIG. 9B, the operation schedule of the factory equipment whose operation timing can be controlled is extended before and after the operation schedule in the case of the first embodiment. Specifically, the operating time of the factory equipment whose operation timing can be controlled is extended before and after the operating time of the factory equipment in which operation is essential.
Therefore, the waveform showing the change in the total demand in this consumer changes to a shape in which the peak is crushed as compared with the first embodiment.
In the case of the present embodiment, the electric power value that gives the base is determined so that the area (electric energy) of the region including the peak of the waveform of the total demand shown in FIG. 9B matches the capacity of the storage battery 21. At this time, the time when the electric power value that gives the base of the region including the peak portion intersects the waveform of the total demand is determined as the time when the discharge of the storage battery 21 starts and the time when the discharge ends. The discharge time shown in FIG. 9(B) is longer than the discharge time shown in FIG. 9(A).

According to the control according to the present embodiment, even if the usable capacity of the storage battery 21 is small, the storage battery 21 can be discharged at the timing when the total demand peaks, and the peak of the total demand itself can be reduced by shifting the operation schedule. It is possible to Therefore, it is also advantageous for reducing the contract power that defines the maximum power received from the power system 10 (see FIG. 1 ).

<Other Embodiments>
Although the embodiments of the present invention have been described above, the technical scope of the present invention is not limited to the scope described in the above embodiments. It is apparent from the scope of the claims that the various modifications or improvements made to the embodiment described above are also included in the technical scope of the present invention.

For example, the discharge timing control server 31 shown in the first embodiment may also be provided with the functions of steps 14 and 15 (see FIG. 8) described in the second embodiment. When this combination is adopted, the air conditioning equipment is installed so that the peak value of the amount of power received from the power system 10 (see FIG. 1) during discharging from the storage battery 21 (see FIG. 1) does not exceed the contracted power. Control such as stopping may be combined.

In the above-described first and second embodiments, the case where the discharge timing control servers 31 and 31A are arranged on the Internet 40 has been described, but the discharge timing control server 31 is the consumer system 20 (see FIG. 1). Alternatively, it may be provided in 20A (see FIG. 6). In this case, the control by the discharge timing control servers 31 and 31A is a dedicated control targeting only a specific customer. The functions of the discharge timing control servers 31 and 31A may be implemented as a part of the storage battery 21.

In the above-described first and second embodiments, an air conditioner is illustrated as an example of a device whose demand fluctuates due to a weather forecast, but a refrigerating device may be used.
Further, in the above-described first and second embodiments, the power equipment is illustrated as an example of the equipment 24 configuring the consumer system 20, but the equipment 24 is not limited to the power equipment, and office equipment and household equipment. But it's okay.

In the first and second embodiments described above, the wattmeter 22 that measures the demand in 30-minute units is used, but the demand measurement unit is not limited to 30 minutes. For example, the unit may be one minute. The demand prediction unit is not limited to 30 minutes, and may be 1 minute or another time length.
Further, in the case of the second embodiment described above, the operation schedule of the factory equipment whose operation timing can be controlled is rescheduled within the range of one day, but the work of one day is assigned to another day, etc. It may be rescheduled for multiple days.
In the case of the above-described second embodiment, an example in which the operation mode of the device 24 having a low priority is switched to the low speed mode or the operation is stopped by the control of the discharge timing control server 31A has been described. Before execution, a recommended operation (for example, change of operation mode) or a proposal of an operation schedule may be provided to the consumer. The information may be provided by mail, a message, a pop-up display on the display screen of the worker's terminal, or the like.

1, 1A... Network system, 10... Power system, 20, 20A... Customer system, 21... Storage battery, 22... Power meter, 23... Power line, 24... Equipment 1-N, 25... Router, 26... Equipment control terminal, 30, 30A... Discharge control system 31, 31, 31A... Discharge timing control server, 32... Total demand database, 33... Storage battery capacity database, 40... Internet, 311... Disaggregation unit, 312... Demand prediction unit, 313... Storage battery capacity acquisition Section, 314... Discharge timing control section, 315... Operation schedule changing section

Claims (11)

Estimating means for estimating the demand for each device by analyzing the total demand of consumers,
An acquisition unit that acquires the capacity of the storage battery corresponding to the customer,
Based on the time change information of the demand for each device and the capacity of the storage battery, a control means for controlling the discharge of the storage battery,
Battery control system having a. The storage battery control system according to claim 1, wherein the control unit controls the discharge of the storage battery based on the time change information of the demand of the device having a smaller operating time ratio than other devices and the capacity of the storage battery. .. The said control means controls discharge of a storage battery based on the time change information of the demand for every apparatus estimated using the forecast data regarding the weather or environment of a demand place, and the capacity of a storage battery. The storage battery control system described. The said control means controls discharge of a storage battery based on the time change information of the demand of a device and the capacity of a storage battery whose degree of freedom of the operating time in a demand area is higher than other devices. Storage battery control system. Further having an instruction means for instructing some devices to change the operation schedule based on forecast data relating to the weather or environment of the demand area,
The storage battery control system according to claim 1, wherein the control unit uses the time change information of the demand predicted by using the changed operation schedule for controlling the discharge of the storage battery. The control means further includes an instruction means for instructing a device having a higher degree of freedom in operating hours in a demand area than other devices to change the operation schedule,
The storage battery control system according to claim 1, wherein the control unit uses the time change information of the demand predicted by using the changed operation schedule for controlling the discharge of the storage battery. The storage battery control system according to claim 5 or 6, wherein the control unit controls the discharge of the storage battery based on the time change information of the total demand that reflects the time change information of the changed demand and the capacity of the storage battery. The storage battery control system according to claim 1, wherein when the total demand may exceed the target value, the control unit individually controls the devices with lower priorities to individually reduce the demand. The control unit notifies the consumer of a recommended operation plan or a change plan of an operation schedule of a specific device when the total demand may exceed a target value. Battery control system. A process of acquiring the demand for each device estimated by analyzing the total demand of the consumer,
A storage battery control method comprising: a process for controlling discharge of a storage battery corresponding to the consumer based on time change information of demand for each device acquired for the consumer and a capacity of the storage battery corresponding to the consumer. On the computer,
A function that analyzes the total demand of customers and estimates the demand for each device,
With the function of acquiring the capacity of the storage battery corresponding to the customer,
Based on the time change information of the demand for each device and the capacity of the storage battery, the function of controlling the discharge of the storage battery,
A program to execute.