JP7024945B2 - Storage battery capacity arithmetic unit and program - Google Patents

Description

The present invention relates to a storage battery capacity calculation device for calculating the capacity of a storage battery required for performing peak cut operation, and a program for calculating the storage battery capacity.

Consumers of electricity, such as factories and homes, purchase the electricity they consume from electric power companies. Electricity charges include basic charges and pay-as-you-go charges. The basic charge is determined by the maximum value (peak value) of, for example, the average power consumption in units of 30 minutes recorded by a power meter. In order to suppress the peak value, a peak cut control is known in which an upper limit value of the average power consumption is set and the charge / discharge of the storage battery is controlled so that the average power consumption does not exceed the upper limit value.

In the peak cut control, the storage battery is charged during the time when the power consumption is low, and the storage battery is discharged during the time when the power consumption is high. However, when the charge amount of the storage battery is small, the discharge amount is insufficient in the time zone when the power consumption is high, and the peak cut cannot be performed. If the storage battery capacity is made sufficiently large, this problem can be solved, but there is a problem that the purchase cost of the necessary storage battery becomes high. Therefore, it is important to calculate the optimum storage battery capacity in order to prevent the discharge amount from being insufficient and to reduce the storage battery capacity as much as possible.

In Patent Document 1, at each time, the amount obtained by subtracting the amount of power generated by photovoltaic power generation and the amount of discharge of the storage battery from the amount of power consumed is equal to or less than the upper limit of the amount of power used, and the total amount of discharge of the storage battery for one day ( It is described that the storage battery capacity is calculated by calculating the linear planning problem so that (= storage battery capacity) is minimized. The storage battery capacity calculation method described in Patent Document 1 considers that the storage battery capacity becomes excessive or insufficient unless the amount of power generation of photovoltaic power generation is accurately predicted, and accurately predicts the amount of power generation of photovoltaic power generation. Therefore, the optimum storage battery capacity is calculated.

Japanese Unexamined Patent Publication No. 2015-89196

However, in the case of the storage battery capacity calculation method, since the charge amount of the storage battery in the time zone when the power consumption is low is not taken into consideration, the calculated storage battery capacity tends to be excessive.

The present invention has been conceived under the above circumstances, and an object of the present invention is to provide a storage battery capacity calculation device capable of calculating a more optimum storage battery capacity.

The storage battery capacity arithmetic unit provided by the first aspect of the present invention is a demand storage means for storing a demand value based on an average power consumption in each demand time period for a predetermined period, and a target value setting for setting a peak cut target value. The means, the maximum value detecting means for detecting the maximum value of the added value in the calculation process by adding the difference value which is the difference between the demand value of each demand time period and the target value while going back in time series. It is characterized by comprising a capacity calculation means for calculating the storage battery capacity based on the maximum value detected by the maximum value detecting means. According to this configuration, the maximum value detecting means calculates the difference between the demand value and the target value of each demand time period as a difference value, and adds the difference value while going back in time series. When the demand value of the demand time limit is equal to or more than the target value, the difference value of the demand time limit indicates the discharge power required when trying to suppress the demand value to the target value, and the demand value of the demand time limit becomes less than the target value. In this case, the difference value of the demand time period indicates the charging power (value opposite to the discharge power) that can be achieved by increasing the demand value to the target value. Therefore, by adding the difference values while going back in time series, the discharge power required in the later demand time period in the time series is canceled by the charge power enabled in the earlier demand time period in the time series. You can add up. The storage battery needs to be able to discharge the maximum value of the added value in the calculation process of this addition. The capacity calculation means calculates the required storage battery capacity based on this maximum value. In the calculation of the storage battery capacity, the required discharge power amount is canceled by the charge power amount enabled in the immediately preceding demand time period, so that it is possible to suppress the calculated storage battery capacity from becoming excessive, which is more optimal. The storage battery capacity can be calculated.

In a preferred embodiment of the present invention, the maximum value detecting means returns to the last demand time period when the first demand time period of the time series is reached in the time series retroactively. According to this configuration, even if the time series is traced back from the demand time limit in the middle, it can be made to go around.

In a preferred embodiment of the present invention, the repeating means for causing the maximum value detecting means to detect the maximum value and detecting the largest value among the maximum values for each starting point while changing the starting points in order. The storage battery capacity calculation device is further provided, and the capacity calculation means calculates the storage battery capacity based on the value detected by the repeating means instead of the maximum value detected by the maximum value detecting means. According to this configuration, the storage battery capacity is calculated using the largest value among the maximum values for each starting point changed in order, so that a more optimum storage battery capacity can be calculated.

In a preferred embodiment of the present invention, the storage battery capacity calculation device sets a discharge period in which the demand value is equal to or greater than the target value and a charging period in which the demand value is less than the target value. The period setting means is further provided, and the repeating means has only the demand time period of the discharge period as the starting point. According to this configuration, it is possible to omit the process of detecting the maximum value starting from the demand time limit of the charging period, so that the amount of calculation can be reduced.

In a preferred embodiment of the present invention, when the beginning and the end of the predetermined period are discharge periods, the period setting means sets these discharge periods together as one discharge period, and the predetermined period is set. When the first and last are charging periods, these charging periods are combined and set as one charging period. Then, for each of the discharge periods, the discharge integrated value obtained by integrating the difference values of the demand time periods belonging to the discharge period is calculated, and for each of the charge periods, the difference values of the demand time periods belonging to the charge period are integrated. The storage battery capacity calculation device further includes an integrated value calculation means for calculating the integrated charge value, and the maximum value detecting means discharges during each discharge period instead of adding the difference value of each demand time period. The integrated value and the integrated charge value for each charging period are added. According to this configuration, since the integrated value is calculated in advance, the amount of calculation can be reduced as compared with the case where the addition is performed for each demand time period.

In a preferred embodiment of the present invention, the maximum value detecting means sets the added value to "0" when the added value becomes a negative value in the calculation process. According to this configuration, it is possible to avoid an unrealistic state in which the charge amount of the storage battery becomes a negative value.

In a preferred embodiment of the present invention, the target value setting means sets a plurality of target values, the maximum value detecting means detects the maximum value for each target value, and the capacity calculation means means. The storage battery capacity calculation device calculates the storage battery capacity for each target value, and the storage battery capacity calculation device provides a judgment information generation means for generating judgment information for selecting the storage battery capacity based on the storage battery capacity calculated for each target value. Further prepared. According to this configuration, it is possible to provide the operator with judgment information for selecting the storage battery capacity. In addition, the optimum storage battery capacity can be recommended based on the judgment information.

The program provided by the second aspect of the present invention is a demand storage means for storing a demand value based on an average power consumption in each demand time period for a predetermined period of time, and a target value setting for setting a peak cut target value. The means, the maximum value detecting means for detecting the maximum value of the added value in the calculation process by adding the difference value which is the difference between the demand value of each demand time period and the target value while going back in time series. It is characterized in that it functions as a capacity calculation means for calculating the storage battery capacity based on the maximum value detected by the maximum value detecting means.

According to the present invention, the maximum value detecting means calculates the difference between the demand value and the target value of each demand time period as a difference value, and adds the difference value while going back in time series. When the demand value of the demand time limit is equal to or more than the target value, the difference value of the demand time limit indicates the discharge power required when trying to suppress the demand value to the target value, and the demand value of the demand time limit becomes less than the target value. In this case, the difference value of the demand time period indicates the charging power (value opposite to the discharge power) that can be achieved by increasing the demand value to the target value. Therefore, by adding the difference values while going back in time series, the discharge power required in the later demand time period in the time series is canceled by the charge power enabled in the earlier demand time period in the time series. You can add up. The storage battery needs to be able to discharge the maximum value of the added value in the calculation process of this addition. The capacity calculation means calculates the required storage battery capacity based on this maximum value. In the calculation of the storage battery capacity, the required discharge power amount is canceled by the charge power amount enabled in the immediately preceding demand time period, so that it is possible to suppress the calculated storage battery capacity from becoming excessive, which is more optimal. The storage battery capacity can be calculated.

It is a functional block diagram which shows an example of the internal structure of the storage battery capacity arithmetic unit which concerns on 1st Embodiment. It is a figure for demonstrating the method of detecting the maximum discharge amount based on the demand value of each demand time period. It is a figure which shows an example of the display image of the calculation result. It is a figure which shows an example of the flowchart for demonstrating the storage battery capacity calculation process which concerns on 1st Embodiment. It is a figure which shows an example of the flowchart for demonstrating the period setting process. It is a figure which shows an example of the flowchart for demonstrating the maximum value detection process. It is a figure which shows an example of the flowchart for demonstrating the modification of the maximum value detection process. It is a figure which shows an example of the flowchart for demonstrating the storage battery capacity calculation process which concerns on 2nd Embodiment.

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

The storage battery capacity calculation device 1 according to the first embodiment is a device that calculates the required storage battery capacity based on the demand value of each demand time period for a predetermined period (for example, one day). The "demand value" is the average power consumption for each predetermined time (for example, 0 to 30 minutes and 30 minutes to 60 minutes each hour), and the "demand time limit" is the calculation of the demand value. Each predetermined time to do. The storage battery capacity calculation device 1 is realized by installing a storage battery capacity calculation program in a general-purpose computer. The storage battery capacity calculation program is a program for causing the control unit 11 to execute the storage battery capacity calculation process described later. In the present embodiment, the storage battery capacity calculation device 1 is a tablet computer provided with a display device such as a liquid crystal screen and a touch panel in which a storage battery capacity calculation program is installed. The storage battery capacity calculation device 1 may be a desktop-type or notebook-type computer in which a storage battery capacity calculation program is installed, or may be a dedicated machine in which the storage battery capacity calculation program is previously installed in the computer. ..

FIG. 1 is a functional block diagram showing an example of the internal configuration of the storage battery capacity arithmetic unit 1. As shown in FIG. 1, the storage battery capacity calculation device 1 includes a control unit 11, a storage unit 12, an operation unit 13, a display unit 14, a communication unit 15, and a bus 16. The control unit 11, the storage unit 12, the operation unit 13, the display unit 14, and the communication unit 15 are connected to each other by a bus 16 so that data can be transmitted to each other.

The storage battery capacity calculation device 1 downloads the storage battery capacity calculation program from the server 3 via the communication line 2 and reads it into the storage unit 12. The program may be read from another recording medium such as a flash memory or a CD-ROM.

The storage unit 12 stores various types of information. The storage unit 12 includes a ROM (Read Only Memory) and a RAM (Random Access Memory) as a primary storage unit, and a secondary storage unit. The ROM is a read-only storage medium and stores a basic program. The RAM is a rewritable storage medium and provides an area for storing an application program and a work area for processing the program. The secondary storage unit is, for example, a flash memory or a hard disk, and stores downloaded application programs and various data. In the present embodiment, the storage battery capacity calculation program downloaded from the server 3 is stored in the secondary storage unit of the storage unit 12. Further, the demand value data described later is also stored in the secondary storage unit. The "storage unit 12" corresponds to the "demand storage means" of the present invention.

The operation unit 13 receives operation input from the operator, and includes various operation buttons and a touch panel. When the operation button is pressed by the operator, the operation unit 13 inputs the corresponding operation signal to the control unit 11. Further, the operation unit 13 calculates the contact position on the panel surface based on the touch information input from the touch panel (change information of minute capacitors or minute resistance arranged in a grid pattern on the panel surface of the touch panel), and the contact position thereof. Information is input to the control unit 11 as an operation signal. The touch panel is arranged on the display screen of the display device described later.

The display unit 14 includes a display device such as a liquid crystal display device. The display unit 14 causes the display device to display the image input from the control unit 11.

The communication unit 15 communicates with an external device via the communication line 2, and is provided with a communication means such as a wireless LAN module. The communication unit 15 is not limited to the one that performs wireless communication, and may be one that performs wired communication. In the present embodiment, the communication unit 15 receives the storage battery capacity calculation program from the server 3. In addition, the demand value data is received from another computer or the like.

The control unit 11 comprehensively controls the operation of each unit included in the storage battery capacity calculation device 1, and is realized by a CPU (Central Processing Unit). As a functional block, the control unit 11 has at least a demand value acquisition unit 111, a target value setting unit 112, a period setting unit 113, an integrated value calculation unit 114, a maximum value detection unit 115, a capacity calculation unit 116, and a balance calculation unit 117. It also includes a display control unit 118. Each unit 111 to 118, which is a functional block, is realized by the control unit 11 executing a storage battery capacity calculation program stored in the storage unit 12.

The demand value acquisition unit 111 acquires the demand value data stored in the storage unit 12. Generally, the average power consumption for 30 minutes is called a "demand value" (unit: [kW]). Demand value data is from the demand value of each demand time period for 30 minutes, such as 0:00 to 0:30, 0:30 to 1:00, ..., 23:30 to 24:00 (0:00). It is the data. The demand value data is, for example, acquired in advance from the computer of the electric power company and stored in the storage unit 12. The demand value data may be read via the communication line 2 or may be directly input by the operator. Further, if the demand value is stored in the computer owned by the consumer, the demand value may be acquired from the computer.

FIG. 2 is a diagram for explaining a method of detecting the maximum discharge amount based on the demand value of each demand time period. In FIG. 2A, the demand value data is represented by a bar graph. In FIG. 2A, the horizontal axis shows each demand time period, and the vertical axis shows the demand value [kW]. For example, in the demand time period from 0:00 to 0:30, it is shown that the demand value is about 140 [kW]. That is, it is shown that the average power consumption (demand) for 30 minutes in the demand time limit is about 140 [kW].

The target value setting unit 112 sets a target value for peak cut. The target value setting unit 112 displays a display prompting the display unit 14 to input the target value, and prompts the operator to perform an input operation. Then, the target value is set based on the operation signal input from the operation unit 13 by the operation of the operator, and is stored in the storage unit 12. In FIG. 2A, assuming that 150 [kW] is input as the target value, a straight line Ref indicating the target value is shown. The upper limit and lower limit of the charge rate, the unit price of the storage battery, the basic charge of the electricity charge, and the number of years of consideration (the number of years of use of the storage battery for calculating the balance), which will be described later, are also input by the operator in the same manner. It is stored in the storage unit 12. The target value setting unit 112 can also set a plurality of target values. Further, by inputting the upper limit value, the lower limit value and the step size of the target value, the value increased by the step size from the lower limit value may be set as the target value until the upper limit value is reached. For example, by setting the upper limit value to 150 [kW], the lower limit value to 100 [kW], and the step size to 10 [kW], the target values are 100 [kW], 110 [kW], 120 [kW], and 130. [KW], 140 [kW], and 150 [kW] may be set.

The period setting unit 113 is a discharge period in which discharge is required and a chargeable period from the demand value data acquired by the demand value acquisition unit 111 and the target value set by the target value setting unit 112. Set the charging period. When the demand value of the demand time period is equal to or larger than the target value, discharge is required to suppress the demand value to the target value in the demand time period. Further, when the demand value of the demand time limit is less than the target value, charging is possible by increasing the demand value to the target value in the demand time limit. The period setting unit 113 sets a period during which the demand time period requiring discharge (including a period with only one demand time period) continues as a discharge period, and a period during which the demand time period during which charging becomes possible continues (demand time limit). (Including only one period) is set as the charging period. Each charge period and each discharge period are numbered in chronological order. In FIG. 2A, for example, in the period from 4:00 to 10:00, the demand value of each demand time period is less than the target value, so that period is set as the charging period. Further, it is indicated as "Charging (2) (indicated by a number in a circle in the figure. The same shall apply hereinafter)" that the period is recognized as the second charging period. Further, when both the beginning and the end of the demand time period are included in the discharge period, the period setting unit 113 combines the first discharge period and the last discharge period into one discharge period. When both the beginning and the end of the demand period are included in the charging period, the first charging period and the last charging period are combined into one charging period. In the present embodiment, it is considered that the first demand time period is returned after the last demand time period. Therefore, if both are in the discharge period (charge period), it is considered that they are continuous within the same discharge period (charge period). In FIG. 2A, since 0:00 to 1:00 is the first charging period (charging (1)) and 23:00 to 24:00 (0:00) is also the charging period, it is from 23:00 to 23:00. 1:00 is the first charging period (charging (1)). In FIG. 2A, four charging periods (charging (1) to charging (4)) and four discharging periods (discharging (1) to discharging (4)) are set.

The integrated value calculation unit 114 calculates the integrated discharge value for each discharge period and the integrated charge value for each charge period. The power value obtained by subtracting the target value from the demand value of the demand time period included in the discharge period is the power required to suppress the demand value to the target value, and this is used as the discharge power. Further, the power value obtained by subtracting the demand value of the demand time period included in the charging period from the target value is the power that can be charged when the demand value is increased to the target value. The negative power value obtained by subtracting the target value from the demand value of the demand time period included in the charging period is defined as the charging power. The "discharge power" and the "charge power" correspond to the "difference value" of the present invention. The integrated value calculation unit 114 calculates a discharge integrated value which is a value obtained by integrating the discharge power of the demand time period included in the discharge period for each discharge period. Further, the integrated value calculation unit 114 calculates a charge integrated value which is a value obtained by integrating the charging power of the demand time period included in the charging period for each charging period. The lower stage of FIG. 2 (b) (the same applies to the lower stage of FIG. 2 (c)) shows the discharge integrated value of each discharge period and the charge integrated value of each charging period. For example, it is shown that the integrated discharge value of the first discharge period (discharge (1)) is "320" and the integrated charge value of the second charge period (charge (2)) is [-300". ..

The maximum value detection unit 115 adds the discharge integrated value of each discharge period and the charge integrated value of each charging period while going back in time series, and detects the maximum value of the added value in the calculation process.

In the upper row of FIG. 2B, starting from the fourth discharge period (discharge (4)), the integrated discharge value of each discharge period and the integrated charge value of each charge period are added while going back in time. It shows the calculation process that goes on. First, the discharge integrated value "340" of the discharge (4) is added to the initial value "0" of the added value, and the added value becomes "340". Next, the charge integrated value "-320" of the charge (4) is added, and the added value becomes "20". Next, the discharge integrated value "160" of the discharge (3) is added to make the added value "180", and the charge integrated value "-40" of the charge (3) is added to make the added value "140". It has become. Next, the discharge integrated value "160" of the discharge (2) is added to make the added value "300", and the charge integrated value "-300" of the charge (2) is added to make the added value "0". It has become. Next, the discharge integrated value "320" of the discharge (1) is added to make the added value "320", and the charge integrated value "-160" of the charge (1) is added to make the added value "160". It has become. In this case, the maximum value of the added value in the calculation process is "340".

The maximum value detecting unit 115 detects the maximum value while changing the starting point in each discharge period, and detects the largest value among the maximum values. When going back in time series, the maximum value detection unit 115 returns to the last period (charge period or discharge period) after the first period (discharge period or charge period). Further, when the added value becomes a negative value in the calculation process, the maximum value detecting unit 115 sets the added value to “0”.

In the upper row of FIG. 2 (c), starting from the third discharge period (discharge (3)), the integrated discharge value of each discharge period and the integrated charge value of each charge period are added while going back in time. It shows the calculation process that goes on. First, the discharge integrated value "160" of the discharge (3) is added to the initial value "0" of the added value, and the added value becomes "160". Next, the charge integrated value "-40" of the charge (3) is added, and the added value becomes "120". Next, the discharge integrated value "160" of the discharge (2) is added to make the added value "280", and the charge integrated value "-300" of the charge (2) is added to make the added value "-20". It has become. At this time, since the added value is a negative value, the added value is set to "0". Next, the discharge integrated value "320" of the discharge (1) is added to make the added value "320", and the charge integrated value "-160" of the charge (1) is added to make the added value "160". It has become. Next, the discharge integrated value "340" of the discharge (4) is added to make the added value "500", and the charge integrated value "-320" of the charge (4) is added to make the added value "180". It has become. In this case, the maximum value of the added value in the calculation process is "500".

Similarly, the maximum value when the second discharge period (discharge (2)) is set as the start point is "500", and the maximum value when the first discharge period (discharge (1)) is set as the start point. Is "500". Therefore, in the case of the example of FIG. 2A, the maximum value detecting unit 115 detects the largest value “500” from each maximum value. Since this value is a value obtained by integrating the discharge power (charging power) in units of 30 minutes, half of this value corresponds to the electric energy. That is, if the storage battery has a maximum discharge amount of half the value detected by the maximum value detection unit 115, the charge amount will not be insufficient in each discharge period. The "maximum value detecting unit 115" corresponds to the "maximum value detecting means" and the "repeating means" of the present invention.

The capacity calculation unit 116 calculates the required storage battery capacity based on the largest value detected by the maximum value detection unit 115. The storage battery has an upper limit and a lower limit of the charge rate (State Of Charge: SOC), and can be charged and discharged only within the range where the charge rate is between the upper limit and the lower limit. can. The storage battery capacity is determined in consideration of the upper limit value and the lower limit value. The upper limit value and the lower limit value of the charge rate of the storage battery are input in advance by the operator. The capacity calculation unit 116 calculates the capacity of the storage battery whose maximum discharge amount is half the value of the maximum value detected by the maximum value detection unit 115. Specifically, the result of dividing the maximum discharge amount by the difference between the upper limit value of the charge rate and the lower limit value of the charge rate is calculated as the required storage battery capacity. For example, when the maximum value detected by the maximum value detection unit 115 is "500", the maximum discharge amount is 250 [kWh], the upper limit of the charge rate is 80%, and the lower limit of the charge rate is 20%, the capacity calculation The unit 116 calculates the required storage battery capacity as 416.6 (= 250 ÷ (0.8-0.2)) [kWh].

The balance calculation unit 117 calculates the balance when the storage battery of the storage battery capacity is introduced, based on the storage battery capacity calculated by the capacity calculation unit 116. The balance calculation unit 117 calculates the purchase price of the storage battery of the storage battery capacity from the calculated storage battery capacity and the preset storage battery unit price. In addition, the income and expenditure calculation unit 117 calculates the annual electricity charge (annual reduction amount) reduced by the peak cut. The annual reduction amount is the basic charge of the electricity charge determined by the current demand peak value and the target value set by the demand peak value (since the target value is set by the electric energy in this embodiment, this target). It is calculated by multiplying the difference from the basic electricity charge when the demand is halved) by "12". The basic electricity rate is set in advance. If the basic electricity charge is proportional to the demand peak value, multiply the peak cut amount [kW], which is the difference between the current demand peak value and the target value, by the basic charge [yen / kW] and "12". By doing so, the annual reduction amount can be calculated. The income and expenditure calculation unit 117 calculates the electricity charge (reduction amount) that can be reduced by introducing the storage battery by multiplying the annual reduction amount by the preset examination years. Then, by subtracting the purchase price of the storage battery from the reduction amount, the balance (profit in the case of a positive value, loss in the case of a negative value) due to the introduction of the storage battery is calculated. In addition, the balance calculation unit 117 calculates the investment payback period by dividing the purchase amount of the storage battery by the annual reduction amount.

When a plurality of peak cut target values are set by the target value setting unit 112, the discharge period and charge period are set by the period setting unit 113, and the discharge integrated value and charge integrated value are set by the integrated value calculation unit 114 for each target value. The maximum value is detected by the maximum value detection unit 115, the storage battery capacity is calculated by the capacity calculation unit 116, and the balance and investment payback years are calculated by the balance calculation unit 117. As a result, the storage battery capacity, income and expenditure, and investment payback years for each target value set by the target value setting unit 112 are calculated.

The display control unit 118 generates a display image to be displayed on the display device of the display unit 14. The display control unit 118 generates a display image based on the storage battery capacity calculated by the capacity calculation unit 116, and the balance and investment payback years calculated by the balance calculation unit 117, and displays the display image on the display device of the display unit 14. When a plurality of peak cut target values are set by the target value setting unit 112, the display control unit 118 displays a list and a graph based on the storage battery capacity, balance, and investment payback years calculated for each target value. Is created and displayed on the display device of the display unit 14. The list and the graph may be displayed on one screen, or the screen for displaying the list and the screen for displaying the graph may be switched by the operation of the operator.

FIG. 3A is a diagram showing an example of a display image displaying a list. In FIG. 3A, the peak cut amount is used instead of the peak cut target value. FIG. 3A shows the storage battery capacities calculated when the peak cut amount is 0 [kW], 10 [kW], 20 [kW], 30 [kW], 40 [kW], and 50 [kW]. Based on, the storage battery capacity, the purchase price of the storage battery (storage battery charge), the reduction amount, the balance (profit) due to the introduction of the storage battery, and the investment payback years are displayed as a list. In this example, the number of years of examination is 20 years. According to the list shown in FIG. 3A, the storage battery capacity and the storage battery charge increase as the peak cut amount increases. In addition, as the peak cut amount increases, the amount of reduction also increases. However, the increasing trend of the storage battery charge and the increasing trend of the reduction amount are different, and the profit increases once as the peak cut amount increases, but then decreases. In the case of FIG. 3A, the peak cut amount is 10 [kW] (storage battery capacity is 30 [kWh]), or the peak cut amount is 20 [kW] (storage battery capacity is 113 [kWh]). In some cases, it turns out to be profitable. Further, for example, when the peak cut amount is 10 [kWh] (the storage battery capacity is 30 [kWh]), it can be seen that the investment for purchasing the storage battery can be recovered if it is used for 8.3 years or more.

FIG. 3B is a diagram showing an example of a display image displaying a graph. FIG. 3B is a graph showing the information in the list shown in FIG. 3A. The data between the calculated data is complemented, for example, by spline complementation. The data complement method is not limited. In the graph, graph a shows the profit according to the storage battery capacity, graph b shows the peak cut amount according to the storage battery capacity, and graph c shows the investment payback period according to the storage battery capacity. .. The horizontal axis represents the storage battery capacity, the vertical axis on the left side represents profit, and the vertical axis on the right side represents the peak cut amount and the number of years of investment payback. According to the graph shown in FIG. 3 (b), the profit is generated when the storage battery capacity is set from about 15 [kWh] to about 180 [kWh], and the profit is maximized when the storage battery capacity is set to about 40 [kWh]. Understand (see graph a). Further, for example, when the storage battery capacity is set to 300 [kWh], it can be seen that the investment for purchasing the storage battery can be recovered if it is used for about 25 years or more (see graph c).

The balance calculation unit 117 may determine the storage battery capacity that is most profitable, and the display control unit 118 may add a description recommending the storage battery capacity to the display image. For example, in the case of FIG. 3A, since the profit is maximized when the storage battery capacity is 30 [kWh], a marker may be added to the column of 30 [kWh] for display. Further, in the case of FIG. 3B, since the profit is maximized when the storage battery capacity is set to about 40 [kWh], a line may be added at the position of the corresponding storage battery capacity. In addition, the recommended storage battery capacity may be described in a sentence. The "balance calculation unit 117" and the "display control unit 118" correspond to the "judgment information generation means" of the present invention.

Next, the processing procedure of the storage battery capacity calculation process will be described with reference to the flowcharts shown in FIGS. 4 to 6.

FIG. 4 is a diagram showing an example of a flowchart for explaining the storage battery capacity calculation process performed by the control unit 11. The storage battery capacity calculation process is started, for example, when the operator selects the storage battery capacity calculation on the menu screen. Before starting the storage battery capacity calculation process, the demand value data is read, and various set values (peak cut target value, charge rate upper limit value, lower limit value, storage battery unit price, basic electricity charge, and examination). Years, etc.) must be set. The operator may select the corresponding menu on the menu screen and follow the on-screen display to read the demand value data and set various setting values.

First, the initial setting is performed (S1). Specifically, initialization of each variable is performed. Next, the period setting process is performed (S2). The period setting process is a process of setting a discharge period and a charge period, and calculating a discharge integrated value of each discharge period and a charge integrated value of each charge period. The details of the period setting process will be described later.

Next, it is determined whether or not there is a discharge period set by the period setting process (S3). When there is a discharge period (S3: YES), it is determined whether or not the daily discharge power amount is smaller than the charge power amount (S4). The determination is performed based on the calculation result in step S32 (see FIG. 5) of the period setting process described later. If the daily discharge power amount is smaller than the charge power amount (S4: YES), the process proceeds to step S6. In step S3, when there is no discharge period (S3: NO), that is, when the charge period is always, the subsequent processing cannot be performed, so it is determined that the processing has failed, and an error display is performed (S5). ), The storage battery capacity calculation process is completed. Further, in step S4, when the daily discharge power amount is equal to or more than the charge power amount (S4: NO), it is determined that it is not appropriate because the storage rate decreases as the storage battery is used, and an error display is performed. (S5), the storage battery capacity calculation process is completed. The error display may only display that the processing has failed, or may also display the cause of the error. For example, if the cause of the error is that the target value of the peak cut is too large or too small, a display prompting the user to review the setting of the target value of the peak cut may be displayed. It should be noted that discrimination other than steps S3 and S4 may also be performed.

In step S6, the maximum value detection process is performed (S6). The maximum value detection process is a process of detecting the maximum value for determining the maximum discharge amount. The details of the maximum value detection process will be described later.

Next, the required storage battery capacity is calculated (S7). Specifically, the storage battery capacity is determined from the maximum discharge amount determined by the maximum value detected in the maximum value detection process by the capacity calculation unit 116, and the preset charge rate upper limit value and charge rate lower limit value. It is calculated. Next, it is confirmed whether or not the calculated storage battery capacity is appropriate (S8). Specifically, a simulation is performed with a storage battery having a calculated storage battery capacity installed, and it is verified whether the calculated storage battery capacity is appropriate. If not appropriate, the battery capacity will be fine-tuned.

Next, the balance calculation is performed (S9). Specifically, the balance calculation unit 117 calculates the balance and the number of years of investment payback based on the storage battery capacity, the preset storage battery unit price, the basic electricity charge, and the number of years to be examined. Then, the display control unit 118 generates a display image and displays it on the display device of the display unit 14 (S10), and the storage battery capacity calculation process is completed.

FIG. 5 is a diagram showing an example of a flowchart for explaining the period setting process. The period setting process is a subroutine shown in step S2 of the flowchart shown in FIG.

First, it is determined whether or not the variable k is equal to or less than the number of demands (S21). The number of demands is the number of demand value data, that is, the number of demand time periods. In the present embodiment, since one day (24 hours) is divided by a demand time limit of 30 minutes, the number of demands is "48". The variable k is a variable for tracing the demand time limit in order, and changes from "1" to the number of demands "48". "1" is input to the variable k as an initial value. When the variable k is equal to or less than the number of demands (S21: YES), the following period determination processes (S22 to S33) are performed, and when the variable k becomes larger than the number of demands (S21: NO), the process proceeds to step S34. The period summarization process (S34 to S38) is performed.

In the period determination process (S22 to S33), first, the difference value obtained by subtracting the target value of the peak cut set by the target value setting unit 112 from the demand value of the kth demand time period is input to the variable tpp (S). S22). Next, it is determined whether or not the variable tpp is "0" or more (S23). When the variable tpp is "0" or more (S23: YES), that is, when the demand value of the kth demand time period is equal to or more than the target value, it is determined that the kth demand time period corresponds to the discharge period, and step S24. Proceed to.

In step S24, it is determined whether or not k is "1" (S24). That is, it is determined whether or not the processing is the first demand time period. When k is not "1" (S24: NO), it is determined whether or not the previous variable tmp is less than "0" (S25). When the previous variable tpp is less than "0" (S25: YES), that is, when the (k-1) th demand time period corresponds to the charging period, a new discharge period is started from the kth demand time period. Therefore, the variable h indicating the discharge period number is increased by "1", and the variable h # sum (h) indicating the discharge integrated value of the hth discharge period has the variable tpm indicating the discharge power of the kth demand time period. It is input (S26), and the process proceeds to step S32. In the variable h, "0" is input as an initial value. When the previous variable tpp is "0" or more (S25: NO), that is, when the (k-1) th demand time period corresponds to the discharge period, the variable h # sum (indicating the integrated discharge value of the same discharge period) ( A variable tpm indicating the discharge power of the kth demand time period is added to h) (S27), and the process proceeds to step S32. In step S24, when k is "1" (S24: YES), since it is the processing of the first demand time period, the process proceeds to step S26, and the variable h is increased by "1" as the start of a new discharge period (initial value). Is "0", so it becomes "1"), and the variable tmp indicating the amount of discharge power in the first demand time period is input to the variable h # sum (1).

In step S23, when the variable tmp is less than "0" (S23: NO), that is, when the demand value of the kth demand time period is less than the target value, it is determined that the kth demand time period corresponds to the charging period. Then, the process proceeds to step S28.

In step S28, it is determined whether or not k is "1" (S28). That is, it is determined whether or not the processing is the first demand time period. When k is not "1" (S28: NO), it is determined whether or not the previous variable tmp is "0" or more (S29). When the previous variable tpp is "0" or more (S29: YES), that is, when the (k-1) th demand time period corresponds to the discharge period, a new charge period is started from the kth demand time period. Therefore, the variable j indicating the charging period number is increased by "1", and the variable j # sum (j) indicating the charge integrated value of the jth charging period has the variable tpm indicating the charging power of the kth demand time period. It is input (S30), and the process proceeds to step S32. "0" is input to the variable j as an initial value. When the previous variable tpp is less than "0" (S29: NO), that is, when the (k-1) th demand time period corresponds to the charging period, the variable j # sum (indicating the charge integrated value of the same charging period) ( A variable tmp indicating the charging power of the kth demand time period is added to j) (S31), and the process proceeds to step S32. In step S28, when k is "1" (S28: YES), since it is the first demand timed processing, the process proceeds to step S30, and the variable j is incremented by "1" as the start of a new charging period (initial value). Is "0", so it becomes "1"), and the variable tmp indicating the amount of discharge power in the first demand time period is input to the variable j # sum (1).

In step S32, the variable tmp is added to the variable sum for integrating the discharge power and the charge power in all the demand time periods (S32). In the variable sum, "0" is input as an initial value. When the period setting process is completed, the variable sum is a value obtained by integrating the discharge power and the charge power in all the demand time periods. When the variable sum is smaller than "0", it can be determined that the daily discharge power amount is larger than the charge power amount. The value of the variable sum is used for discrimination in step S4 (see FIG. 4) in the storage battery capacity calculation process. Then, the variable k is incremented by 1, and the process returns to step S21.

In the period summarization process (S34 to S38), first, it is determined whether or not the last variable tmp is “0” or more (S34). When the last variable tmp is "0" or more (S34: YES), it is determined whether or not the first variable tmp is "0" or more (S35). When the first variable tp is also "0" or more (S35: YES), it is determined that both the first demand time period and the last demand time period are discharge periods, and the first discharge period and the last discharge period are one discharge period. The period setting process is completed. Specifically, the variable h # sum (1) indicating the integrated discharge value of the first discharge period is added to the variable h # sum (LAST) indicating the integrated discharge value of the last discharge period, and the discharge period number is indicated. The variable h is decremented by "1" (S36). In step S35, when the first variable tmp is less than "0" (S35: NO), the last demand time period is the discharge period and the first demand time period is the charge period, so that the discharge period summarization process is not performed. The period setting process ends.

In S34, when the last variable tmp is less than "0" (S34: NO), it is determined whether or not the first variable tmp is less than "0" (S37). When the first variable tp is also less than "0" (S37: YES), it is determined that both the first demand time period and the last demand time period are the charging period, and the first charging period and the last charging period are one charging period. The period setting process is completed. Specifically, the variable j # sum (1) indicating the charge integrated value of the first charging period is added to the variable j # sum (LAST) indicating the charge integrated value of the last charging period, and the charging period number is indicated. The variable j is decremented by "1" (S38). In step S37, when the first variable tpp is "0" or more (S37: NO), the last demand time period is the charging period and the first demand time period is the discharging period, so that the charging period summarization process is not performed. The period setting process ends.

FIG. 6 is a diagram showing an example of a flowchart for explaining the maximum value detection process. The maximum value detection process is the subroutine shown in step S6 of the flowchart shown in FIG.

First, it is determined whether or not the variable i is h # max or less (S41). h # max is the maximum value of the variable h indicating the discharge period number, and indicates the number of discharge periods. Since the variable h is the number of discharge periods at the end of the period setting process (see FIG. 5) in step S2 of the storage battery capacity calculation process (see FIG. 4), the value of the variable h is set as h # max. .. In the example shown in FIG. 2, h # max = 4. The variable i is a variable for tracing the discharge period in order, and changes from “1” to h # max. The variable i is set to "1" as an initial value. When the variable i is h # max or less (S41: YES), the following maximum value search processing (S42 to S53) is performed starting from the i-th discharge period, and the variable i becomes larger than h # max. If (S41: NO), the maximum value detection process ends. That is, in the maximum value detection process, the maximum value search process is performed while setting each discharge period as a starting point in order.

In the maximum value search process (S42 to S53), first, the value of the variable i is input to the variable m, and "0" is input to the variable X (S42). The variable m is a variable for tracing the discharge period and the charge period in order, and changes from "1" to h # max. The variable X is a variable for accumulating the discharge integrated value and the charge integrated value, and is initialized to “0”. Next, the variable h # sum (m) indicating the integrated discharge value of the m-th discharge period is added to the variable X (S43). Next, it is determined whether or not the variable X is larger than the maximum value X # max (S44). The maximum value X # max is a variable indicating the maximum value of the variable X, and "0" is set as an initial value. When the variable X is larger than the maximum value X # max (S44: YES), the value of the variable X is input to the maximum value X # max (S45). On the other hand, when the variable X is equal to or less than the maximum value X # max (S44: NO), the process proceeds to step S46. That is, when the value obtained by adding h # sum (m) to the variable X becomes larger than the maximum value X # max, the maximum value X # max is updated.

Next, in step S46, the variable j # sum (m) indicating the charge integration value of the m-th charging period is added to the variable X (S46). Next, it is determined whether or not the variable X is smaller than "0" (S47). When the variable X is smaller than "0" (S47: YES), that is, when the variable X has a negative value, "0" is input to the variable X (S48). On the other hand, when the variable X is “0” or more (S47: NO), the process proceeds to step S49. That is, when the value obtained by adding j # sum (m) to the variable X becomes a negative value, the variable X is set to "0". This is to avoid an unrealistic situation in which the charge amount of the storage battery becomes a negative value at the start of the charging period.

Next, in step S49, it is determined whether or not the variable m is “1” (S49). When the variable m is not "1" (S49: NO), "1" is subtracted from the variable m (S50), and when the variable m is "1" (S49: YES), h # max is input to the variable m. (S51). That is, the variable m goes back "1" from the value of the variable i, reaches the beginning (m = 1), and then returns to the end (m = h # max).

Next, in step S52, it is determined whether or not the variable m and the variable i are equal (S52). If the variable m and the variable i are not equal (S52: NO), the process returns to step S43, and S43 to S52 are repeated. On the other hand, when the variable m and the variable i are equal (S52: YES), since the variable m goes around once, the loop of S43 to S52 is exited, the variable i is incremented by 1 (S53), and the process returns to step S41. In step S41, when the variable i becomes larger than h # max (S41: NO), the maximum value detection process ends. At this time, the maximum value X # max is the largest value among the maximum values searched when each discharge period is set as the starting point.

The flowchart shown in FIG. 6 is for a case where the first demand time period (0:00 to 0:30) corresponds to the charging period. If the first demand time period corresponds to the discharge period, steps S49 to S51 are flowcharts located before step S46. The flowchart to be used may be switched depending on whether the first demand time period corresponds to the charging period or the discharging period.

The flowcharts shown in FIGS. 4 to 6 are examples of the storage battery capacity calculation processing, and the storage battery capacity calculation processing performed by the control unit 11 is not limited to this.

FIG. 7 is a diagram showing an example of a flowchart for explaining a modification of the maximum value detection process. In the modification, instead of integrating the discharge integrated value and the charge integrated value into the variable X, the variable tpp, which is a difference value obtained by subtracting the peak cut target value from the demand value of each demand time period, is integrated.

First, it is determined whether or not the variable k is equal to or less than the number of demands (S61). The variable k is a variable for tracing the demand time limit in order, and changes from "1" to the number of demands (for example, "48"). "1" is input to the variable k as an initial value. When the variable k is equal to or less than the number of demands (S61: YES), the difference value obtained by subtracting the peak cut target value from the demand value of the kth demand time period is input to the variable tmp (S62). Next, it is determined whether or not the variable tpp is "0" or more (S63). When the variable tpp is "0" or more (S63: YES), it is determined that the kth demand time period corresponds to the discharge period, the maximum value search process (S64 to S74) is performed, and the variable k is incremented by 1. (S75), the process returns to step S61. On the other hand, when the variable tpp is less than "0" (S63: NO), it is determined that the kth demand time period corresponds to the charging period, the maximum value search process (S64 to S74) is not performed, and the variable k is changed. It is incremented by 1 (S75) and returns to step S61. As a result, the maximum value search process is performed with only the demand time period of the discharge period as the start point (the maximum search process is not performed with the demand time period of the charge period as the start point). In step S61, when the variable k becomes larger than the number of demands (S61: NO), the maximum value detection process ends. That is, in the maximum value detection process, the maximum value search process is performed while setting the demand time period of the discharge period as the starting point in order.

In the maximum value search process (S64 to S74), first, the value of the variable k is input to the variable m, and "0" is input to the variable X (S64). The variable m is a variable for tracing the demand time limit in order, and changes from "1" to the number of demands. The variable X is a variable for accumulating the variable tmp of each demand time period, and is initialized to “0”. Next, a difference value obtained by subtracting the peak cut target value from the demand value of the m-th demand time period is input to the variable tmp (S65), and the value of the variable tmp is added to the variable X (S66). When the variable X is larger than the maximum value X # max (S67: YES), the value of the variable X is input to the maximum value X # max (S68). Next, when the variable X is smaller than "0" (S69: YES), "0" is input to the variable X (S70). Next, it is determined whether or not the variable m is "1" (S71). When the variable m is not "1" (S71: NO), "1" is subtracted from the variable m (S72), and when the variable m is "1" (S71: YES), the demand number is input to the variable m. (S73). Each process of steps S67 to S73 is the same process as steps S44 to S45 and S47 to S51 of the flowchart shown in FIG. 6, respectively.

Next, it is determined whether or not the variable m and the variable i are equal (S74). If the variable m and the variable i are not equal (S74: NO), the process returns to step S65, and S65 to S74 are repeated. On the other hand, when the variable m and the variable i are equal (S74: YES), since the variable m goes around once, the loop is exited from S65 to S74, the variable k is incremented by 1 (S75), and the process returns to step S61. In step S61, when the variable i becomes larger than the number of demands (S61: NO), the maximum value detection process ends. At this time, the maximum value X # max is the largest value among the maximum values searched when each demand time period of the discharge period is set as a starting point.

Instead of setting all the demand time periods of the discharge period as the starting point, only the last demand time period of each discharging period may be set as the starting point.

When multiple peak cut target values are set, in the storage battery capacity calculation process (see FIG. 4), the processes of steps S1 to S9 are performed for each target value, and the storage battery capacity, balance, and investment recovery for each target value are performed. All you have to do is calculate the number of years.

Next, the operation and effect of the storage battery capacity calculation device 1 according to the present embodiment will be described.

According to the present embodiment, the period setting unit 113 sets the discharge period and the charge period from the demand value data acquired by the demand value acquisition unit 111 and the target value set by the target value setting unit 112. The integrated value calculation unit 114 calculates the integrated discharge value for each discharge period and the integrated charge value for each charge period. Then, the maximum value detection unit 115 adds the discharge integrated value of each discharge period and the charge integrated value of each charging period while going back in time series, and detects the maximum value of the added value in the calculation process. By adding each integrated value while going back in time series, the integrated discharge power value, which is the integrated value of the discharge power required in the later discharge period in the time series, becomes possible in the earlier charging period in the time series. It can be added by canceling out the integrated charge value, which is the integrated value of the charging power. Further, the maximum value detecting unit 115 detects the maximum value while changing the starting point in each discharge period, and detects the largest value among the maximum values. Then, the capacity calculation unit 116 calculates the required storage battery capacity based on the largest value detected by the maximum value detection unit 115. In the calculation of the storage battery capacity, the amount of discharge power (discharge integrated value) required in the discharge period is canceled by the charge power amount (charge integrated value) enabled in the immediately preceding power receiving period, so the calculated storage battery capacity is excessive. It is possible to suppress the occurrence of the problem, and it is possible to calculate a more optimum storage battery capacity.

Further, according to the present embodiment, when a plurality of peak cut target values are set by the target value setting unit 112, the storage battery capacity, income and expenditure, and investment payback years for each target value are calculated. Then, the display control unit 118 creates a list and a graph based on these calculation results, and displays them on the display device of the display unit 14. By looking at the list or graph displayed on the display device, the operator can recognize information such as which storage battery capacity is profitable and how many years it will take to recover the investment. .. This makes it easier for the operator to determine the introduction of the storage battery and the storage battery capacity of the storage battery to be introduced.

In the present embodiment, the case of using the demand value data for one day has been described, but the present invention is not limited to this. For example, one week's worth of demand value data may be used. For example, in a factory, the change in demand for each demand period in a day differs between weekdays and holidays. In such a case, for example, the demand value data for one week from 0:00 on Monday to 24:00 on Sunday may be used.

In the present embodiment, a case is described in which the storage battery capacity of the storage battery is calculated when the storage battery is introduced to a consumer who has not yet introduced the storage battery. When proposing the optimum storage battery capacity to consumers who have already introduced storage batteries, the demand obtained from the electric power company cannot be used as it is. Since the demand acquired from the electric power company is the demand after being charged and discharged by the currently introduced storage battery, the demand that eliminates the influence of the storage battery by using the charge and discharge amount of the storage battery for each demand time period. It is necessary to convert it to and use it. In the case of photovoltaic power generation, in order to eliminate the influence of fluctuations in the power supplied by photovoltaic power generation, reduce the amount of photovoltaic power generation for each demand time period from the demand obtained from the electric power company. It is desirable to use from.

In this embodiment, a case where the C rate of the storage battery is not taken into consideration is described. The C rate is the ratio of the discharge (charge) current value to the storage battery capacity. In the case of the storage battery capacity calculated by the present embodiment, the storage battery capacity is sufficient, but the discharge may not be in time depending on the limitation of the C rate of the storage battery. In this case, after calculating the storage battery capacity, for example, in the confirmation process of step S8 in the flowchart shown in FIG. 4, the storage battery capacity is slightly reduced so that discharge can be performed at each demand time period even if the C rate limit is met. You can adjust it.

In the event of an emergency such as a disaster, the storage battery is always constant based on the business continuity planning (BCP), which is a plan for companies to minimize damage and to continue and restore their business. When the amount of electric power is to be left, the lower limit of the charge rate may be set in consideration of the amount of electric power to be left. Since the lower limit of the charge rate is set as a percentage, the amount of electric power changes depending on the capacity of the storage battery. Therefore, after calculating the storage battery capacity, for example, in the confirmation process of step S8 of the flowchart shown in FIG. 4, it is verified whether the predetermined amount of power can be left, and if the shortage is insufficient, the shortage is finely adjusted to the added storage battery capacity. do it.

In the first embodiment, the case where the period setting unit 113 sets the discharge period and the charge period, and the integrated value calculation unit 114 calculates the discharge integrated value of each discharge period and the charge integrated value of each charge period will be described. However, it is not limited to this. The maximum value detecting means calculates the difference between the demand value and the target value of each demand time period as a difference value without setting the discharge period and the charge period, and adds the difference values while going back in time series. You may. This case will be described below as a second embodiment.

The functional block diagram of the storage battery capacity calculation device 1'according to the second embodiment is obtained by deleting the period setting unit 113 and the integrated value calculation unit 114 in the functional block diagram of the storage battery capacity calculation device 1 shown in FIG.

The maximum value detection unit 115 of the storage battery capacity arithmetic unit 1'according to the second embodiment obtains a difference value obtained by subtracting a target value from the demand value of each demand time period instead of adding the discharge integrated value and the charge integrated value. Add up.

FIG. 8 is a diagram showing an example of a flowchart for explaining the storage battery capacity calculation process according to the second embodiment. In the storage battery capacity calculation processing, in the flowchart of the storage battery capacity calculation processing according to the first embodiment shown in FIG. 4, steps S2 to S5 are deleted, and step S6 is a flowchart showing a modified example of the maximum value detection processing shown in FIG. (Steps S61 to S75). Detailed explanation will be omitted.

In the present embodiment, the maximum value detection unit 115 calculates the difference between the demand value and the target value of each demand time period as a difference value, adds the difference value while going back in time series, and adds the value in the calculation process. Detects the maximum value of. By adding the difference values while going back in time series, the amount of discharge power required in the later demand time period in the time series is canceled by the amount of charge power enabled in the earlier demand time period in the time series. You can add up. In the calculation of the storage battery capacity, the required discharge power amount is canceled by the charge power amount enabled in the immediately preceding demand time period, so that it is possible to suppress the calculated storage battery capacity from becoming excessive, which is more optimal. The storage battery capacity can be calculated. Therefore, the same effect as that of the first embodiment can be obtained. Further, it is not necessary to set the discharge period and the charge period, or to calculate the discharge integrated value and the charge integrated value.

The storage battery capacity calculation device and the program according to the present invention are not limited to the above-described embodiment. The specific configuration of each part of the storage battery capacity calculation device and the program according to the present invention can be freely redesigned.

1,1': Storage battery capacity calculation device 11: Control unit 111: Demand value acquisition unit 112: Target value setting unit 113: Period setting unit 114: Integrated value calculation unit 115: Maximum value detection unit 116: Capacity calculation unit 117: Balance Calculation unit 118: Display control unit 12: Storage unit 13: Operation unit 14: Display unit 15: Communication unit 16: Bus 2: Communication line 3: Server

Claims (8)

A demand storage means that stores the demand value based on the average power consumption in each demand period for a predetermined period,
Target value setting means for setting the target value for peak cut, and
While going back in time series, the difference value that is the difference between the demand value of each demand time period and the target value is integrated in order, and when the integrated value becomes larger than the maximum value, the integrated value is calculated. A maximum value detection means that detects the maximum value when the process of updating as the maximum value is performed for all demand time periods ,
A capacity calculation means that sets the maximum discharge amount based on the maximum value detected by the maximum value detecting means, and calculates the required storage battery capacity based on the maximum discharge amount and the upper and lower limit values of the charge rate. When,
A storage battery capacity arithmetic unit characterized by being equipped with. The maximum value detecting means returns to the last demand time period when the first demand time period of the time series is reached in the time series retroactively.
The storage battery capacity arithmetic unit according to claim 1. Further provided is a repeating means for causing the maximum value detecting means to detect the maximum value while changing the starting points in order, and detecting the largest value among the maximum values for each starting point.
The capacity calculating means calculates the required storage battery capacity based on the value detected by the repeating means in place of the maximum value detected by the maximum value detecting means.
The storage battery capacity arithmetic unit according to claim 2. Further provided with a period setting means for setting a discharge period in which the demand value is equal to or greater than the target value and a charging period in which the demand value is less than the target value.
The repeating means has only the demand time period of the discharging period as the starting point.
The storage battery capacity arithmetic unit according to claim 3. When the beginning and the end of the predetermined period are discharge periods, the period setting means sets these discharge periods together as one discharge period, and when the beginning and end of the predetermined period are charge periods, the period setting means is set. , These charging periods are combined and set as one charging period,
For each discharge period, a discharge integrated value is calculated by integrating the difference values of the demand time periods belonging to the discharge period, and for each charge period, charging is performed by integrating the difference values of the demand time periods belonging to the charge period. Further equipped with an integrated value calculation means for calculating the integrated value,
The maximum value detecting means integrates the discharge integrated value of each discharge period and the charge integrated value of each charging period instead of accumulating the difference value of each demand time period.
The storage battery capacity arithmetic unit according to claim 4. When the integrated value becomes a negative value, the maximum value detecting means sets the integrated value to "0".
The storage battery capacity calculation device according to any one of claims 1 to 5. The target value setting means sets a plurality of target values and sets a plurality of target values.
The maximum value detecting means detects the maximum value for each target value, and the maximum value detecting means detects the maximum value.
The capacity calculation means calculates the required storage battery capacity for each target value, and then calculates the required storage battery capacity.
Further provided with a judgment information generating means for generating judgment information for selecting the required storage battery capacity based on the required storage battery capacity calculated for each of the target values.
The storage battery capacity calculation device according to any one of claims 1 to 6. Computer,
A demand storage means that stores the demand value based on the average power consumption in each demand period for a predetermined period,
Target value setting means for setting the target value for peak cut, and
While going back in time series, the difference value that is the difference between the demand value of each demand time period and the target value is integrated in order, and when the integrated value becomes larger than the maximum value, the integrated value is calculated. A maximum value detection means that detects the maximum value when the process of updating as the maximum value is performed for all demand time periods, and
Capacity calculation means that sets the maximum discharge amount based on the maximum value detected by the maximum value detecting means, and calculates the required storage battery capacity based on the maximum discharge amount and the upper and lower limit values of the charge rate. When,
A program characterized by making it work.

Images