Smoothing target value calculation device, power supply system, smoothing target value calculation method and program

Abstract

To provide a smoothing target value calculation device capable of calculating a smoothing target value with which deterioration of a battery can be suppressed.SOLUTION: A smoothing target value calculation device for calculating a smoothing target value, a target value for the total of first power generated by a renewable energy power generation system and second power charged / discharged by a battery comprises: a prediction value acquisition unit for acquiring a prediction value of the first power; a prediction value correction unit for correcting the prediction value; and a smoothing target value calculation unit for calculating the smoothing target value by smoothing the prediction value after correction.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present disclosure relates to a smoothing target value calculation device, a power supply system, a smoothing target value calculation method, and a program. [Background technology]

[0002] There are technologies available that suppress output fluctuations of renewable energy power generation such as solar power generation and wind power generation by charging and discharging a secondary battery. For example, Patent Document 1 discloses a method of predicting power generation by renewable energy, setting a target value that is a combination of the predicted value of power generation and the charging and discharging power of a secondary battery, and controlling the charging and discharging of the secondary battery so that the fluctuations are suppressed within a predetermined range. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent No. 6768571 Summary of the Invention [Problem to be solved by the invention]

[0004] When a target output value is set based on the predicted value of power generation by renewable energy and the charging and discharging of the secondary battery is controlled to achieve that target value, if the prediction accuracy of the power generation is low, the amount of charging and discharging of the secondary battery will increase, resulting in deterioration of the secondary battery.

[0005] The present disclosure provides a smoothing target value calculation device, a power supply system, a smoothing target value calculation method, and a program that can solve the above-mentioned problems. [Means for solving the problem]

[0006] According to one aspect of the present disclosure, a smoothing target value calculation device calculates a smoothing target value, which is a target value of power obtained by adding together a first power generated by a renewable energy power generation system and a second power charged and discharged by a battery, and includes a predicted value acquisition unit that acquires a predicted value of the first power, a predicted value correction unit that corrects the predicted value, and a smoothing target value calculation unit that smooths the corrected predicted value to calculate the smoothing target value. The predicted value correction unit corrects the second predicted value to a value based on the average of the first predicted value and the third predicted value when a difference between the second predicted value and the average of the first predicted value and the third predicted value is equal to or greater than a predetermined threshold. Alternatively, the predicted value correction unit corrects the predicted value at a second hour, a predetermined time after the first hour, by multiplying the difference between the predicted value at a past first hour and the actual value of the first power by a predetermined coefficient. Alternatively, the smoothing target value calculation unit sets, for a first predicted value, a second predicted value, and a third predicted value, which are the corrected predicted values ​​at each of a first time, a second time, and a third time, consecutive times, an average value of the first predicted value and the second predicted value as the smoothing target value at the start time of the second time, an average value of the second predicted value and the third predicted value as the smoothing target value at the end time of the second time, and sets, as the smoothing target value at each time of the second time, a value indicated by a line connecting the smoothing target value at the start time of the second time and the smoothing target value at the end time of the second time.

[0007] The power supply system of the present disclosure includes a renewable energy power generation system, a battery system that charges and discharges a battery to compensate for output fluctuations of the renewable energy power generation system, and any of the smoothing target value calculation devices described above, and the battery system charges and discharges the battery based on the difference between the smoothing target value calculated by the smoothing target value calculation device and the power generated by the renewable energy power generation system.

[0008] The smoothing target value calculation method disclosed herein is a smoothing target value calculation method for calculating a smoothing target value, which is a target value of power obtained by adding together a first power generated by a renewable energy power generation system and a second power charged and discharged by a battery, and includes the steps of obtaining a predicted value of the first power, correcting the predicted value, and smoothing the corrected predicted value to calculate the smoothing target value. In the step of correcting the predicted value, for a first predicted value, a second predicted value, and a third predicted value that are the predicted values ​​at consecutive first, second, and third hours, respectively, if a difference between the second predicted value and an average of the first predicted value and the third predicted value is equal to or greater than a predetermined threshold, the second predicted value is corrected to a value based on the average of the first predicted value and the third predicted value. Alternatively, in the step of correcting the predicted value, a value obtained by multiplying a difference between the predicted value at a past first hour and the actual value of the first power by a predetermined coefficient is added to or subtracted from the predicted value at a second hour that is a predetermined time after the first hour to correct the predicted value at the second hour. Alternatively, in the step of calculating the smoothing target value, for a first predicted value, a second predicted value, and a third predicted value, which are the corrected predicted values ​​at each of a first, second, and third consecutive time periods, an average value of the first predicted value and the second predicted value is set as the smoothing target value at the start time of the second time period, an average value of the second predicted value and the third predicted value is set as the smoothing target value at the end time of the second time period, and a value indicated by a line connecting the smoothing target value at the start time of the second time period and the smoothing target value at the end time of the second time period is set as the smoothing target value at each time period of the second time period.

[0009] The program disclosed herein causes a computer that calculates a smoothing target value, which is a target value of power obtained by adding together a first power generated by a renewable energy power generation system and a second power charged and discharged by a battery, to execute the steps of acquiring a predicted value of the first power, correcting the predicted value, and smoothing the corrected predicted value to calculate the smoothing target value. In the step of correcting the predicted value, for a first predicted value, a second predicted value, and a third predicted value that are the predicted values ​​at consecutive first, second, and third hours, respectively, if a difference between the second predicted value and an average of the first predicted value and the third predicted value is equal to or greater than a predetermined threshold, the second predicted value is corrected to a value based on the average of the first predicted value and the third predicted value. Alternatively, in the step of correcting the predicted value, a value obtained by multiplying a difference between the predicted value at a past first hour and the actual value of the first power by a predetermined coefficient is added to or subtracted from the predicted value at a second hour that is a predetermined time after the first hour to correct the predicted value at the second hour. Alternatively, in the step of calculating the smoothing target value, for a first predicted value, a second predicted value, and a third predicted value, which are the corrected predicted values ​​at each of a first, second, and third consecutive time periods, an average value of the first predicted value and the second predicted value is set as the smoothing target value at the start time of the second time period, an average value of the second predicted value and the third predicted value is set as the smoothing target value at the end time of the second time period, and a value indicated by a line connecting the smoothing target value at the start time of the second time period and the smoothing target value at the end time of the second time period is set as the smoothing target value at each time period of the second time period. [Effects of the Invention]

[0010] According to the smoothing target value calculation device, power supply system, smoothing target value calculation method, and program described above, it is possible to suppress deterioration of secondary batteries while suppressing output fluctuations in renewable energy power generation. [Brief explanation of the drawings]

[0011] [Figure 1] FIG. 1 is a diagram illustrating an example of a power supply system according to each embodiment. [Figure 2] FIG. 4 is a diagram illustrating offset correction according to the first embodiment. [Figure 3] FIG. 4 is a diagram illustrating an example of a calculation process of a smoothing target value according to the first embodiment. [Figure 4] FIG. 10 is a diagram illustrating a sudden change in a predicted value according to the second embodiment. [Figure 5] FIG. 10 is a diagram illustrating a correction of a sudden change in a predicted value according to a second embodiment. [Figure 6] 10 is a flowchart illustrating an example of a sudden change correction process for a predicted value according to the second embodiment. [Figure 7] FIG. 11 is a diagram illustrating the relationship between the magnitude of the PV power amount and fluctuations in the PV power according to the third embodiment. [Figure 8] FIG. 11 is a diagram illustrating an example of a calculation process of a smoothing target value according to the third embodiment. [Figure 9] FIG. 13 is a diagram illustrating an example of a calculation process of a smoothing target value according to the fourth embodiment. [Figure 10] FIG. 2 is a diagram illustrating an example of a hardware configuration of a smoothing target value calculation device according to each embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0012] A power supply system 100 according to the present disclosure will be described below with reference to Figures 1 to 10. In the following description, components having the same or similar functions will be denoted by the same reference numerals, and redundant descriptions of those components may be omitted.

[0013] (System Configuration) FIG. 1 is a diagram illustrating an example of a power supply system according to an embodiment. The power supply system 100 includes a renewable energy power generation system 1, such as solar power generation, wind power generation, hydroelectric power generation, geothermal power generation, or biomass power generation, and a smoothing system 2. The smoothing system 2 smooths fluctuations in the output (generated power) of the renewable energy power generation system 1. The power supply system 100 supplies the power generated by the renewable energy power generation system 1 and smoothed by the smoothing system 2 to loads such as facilities in factories and commercial power systems. The smoothing system 2 includes a prediction system 3, a smoothing target value calculation device 10, and a battery system 4.

[0014] The prediction system 3 predicts the power that the renewable energy power generation system 1 will generate in the future based on actual values ​​of power generated in the past by the renewable energy power generation system 1. Hereinafter, the power generated by the renewable energy power generation system 1 will be abbreviated as PV power (PV stands for Photovoltaic, although the scope of application of this disclosure is not limited to solar power generation), and the amount of power will be abbreviated as PV power amount. For example, the prediction system 3 has a prediction model 31 that uses actual values ​​of PV power for a certain time period in the past (e.g., one day ago, one week ago) as an explanatory variable and actual values ​​of PV power for the same time period on another day as a target variable, and learns the relationship between the two using a random forest or the like. The prediction system 3 uses this prediction model 31 to predict the PV power for each corresponding hour of the day based on actual values ​​of PV power for each predetermined time period in the past (e.g., every 30 minutes on the previous day). Furthermore, the prediction system 3 predicts the PV power amount for the next day based on the total amount of PV power generated on that day at the end of the day.

[0015] The smoothing target value calculation device 10 acquires from the prediction system 3 the predicted value of PV power predicted by the prediction system 3, and acquires the actual value of PV power from the renewable energy power generation system 1. The smoothing target value calculation device 10 calculates a target value of power to be supplied to the load by the power supply system 100, for example, by correcting the predicted value of PV power based on the actual value of PV power. This target value is called a smoothing target value. The battery system 4 is a BESS (Battery Energy Storage System). The battery system 4 plays a role in absorbing and stabilizing output fluctuations of the renewable energy power generation system 1. The battery system 4 includes a battery 41 and a control device 42. The battery 41 is one or more secondary batteries such as lithium batteries or lead batteries. The control device 42 controls charging and discharging of the battery 41 and monitors its SOC (State Of Charge). The control device 42 acquires a charge / discharge command value from the smoothing target value calculation device 10, and controls the charge / discharge of the battery 41 so that the power supplied from the power supply system 100 to the load becomes the smoothing target value. The control device 42 also controls the charge / discharge of the battery 41 so that the SOC of the battery 41 becomes a predetermined target value (for example, 50%). The smoothing target value calculation device 10 calculates a smoothing target value such that the SOC of the battery 41 becomes the target value while stably supplying the power generated by the renewable energy power generation system 1. This makes it possible to suppress deterioration of the battery 41 while suppressing fluctuations in the amount of PV power generation. Next, the smoothing target value calculation device 10 will be described in more detail.

[0016] The smoothing target value calculation device 10 includes a performance value acquisition unit 11, a predicted value acquisition unit 12, an SOC acquisition unit 13, a command value generation unit 14, and a smoothing target value calculation unit 15. The actual value acquiring unit 11 acquires and stores the latest actual value of PV power at a predetermined control period from the renewable energy power generation system 1. For example, the actual value acquiring unit 11 acquires the actual value of PV power every moment. The predicted value acquisition unit 12 acquires and stores the predicted value of the PV power from the prediction system 3. For example, the predicted value of the PV power is given as an average predicted value at each time in a predetermined period (30 minutes). The SOC acquisition unit 13 acquires the latest SOC of the battery 41 at a predetermined control period from the battery system 4. The SOC acquisition unit 13 outputs the acquired SOC to the SOC correction unit 154. The command value generating unit 14 generates a charge / discharge command value to be output to the battery system 4. The command value generating unit 14 generates the charge / discharge command value by subtracting the actual value of the PV power from the smoothing target value.

[0017] The smoothing target value calculation unit 15 calculates the smoothing target value. As will be described later in a third embodiment, the smoothing target value calculation unit 15 selects either a method of calculating a smoothing target value based on a predicted value of PV power or a conventional method of calculating a smoothing target value based on an actual value of PV power, and calculates the smoothing target value for each predetermined time period. Roughly speaking, the value obtained by smoothing the predicted value of PV power for each predetermined time period is the smoothing target value based on the predicted value, and the value obtained by smoothing the actual value of PV power is the smoothing target value based on the actual value. However, since the predicted value of PV power obtained by the prediction system 3 always has an error compared to the actual value, the smoothing target value calculation unit 15 corrects the predicted value of PV power to reduce this error and calculates the smoothing target value based on the predicted value. Furthermore, when it is considered that PV power can be predicted more accurately by predicting PV power slightly into the future using the actual value of PV power for the day rather than using the predicted value of PV power, the smoothing target value calculation unit 15 calculates the smoothing target value (the smoothing target value based on the actual value) based on the actual value of PV power.

[0018] The smoothing target value calculation unit 15 includes an offset correction unit 151 , a sudden change correction unit 152 , a predicted value smoothing unit 153 , an SOC correction unit 154 , and a performance value smoothing unit 155 . The offset correction unit 151 corrects the predicted value of PV power a little further in the future based on the difference between the actual value and the predicted value of PV power a little earlier. This correction is called offset correction. The offset correction will be described in the first embodiment. When the predicted value of PV power is expected to deviate significantly from the actual value, the sudden change correction unit 152 corrects the predicted value of PV power based on the predicted values ​​before and after that. This correction is called a sudden change correction of the predicted value. The sudden change correction of the predicted value will be described in a second embodiment. The predicted value smoothing unit 153 smoothes the predicted value (corrected predicted value) of the time series PV power. The smoothed value becomes the smoothing target value. This smoothing processing will be described in the first embodiment. The SOC corrector 154 corrects the predicted value of the PV power by adding or subtracting the power to be charged or discharged in order to bring the SOC of the battery 41 closer to the SOC target value. The actual value smoothing unit 155 calculates a moving average value of the actual value of the PV power and smoothes the actual value of the PV power.

[0019] First Embodiment (offset correction) Next, offset correction according to the first embodiment will be described with reference to FIG. The vertical axis of the graph in FIG. 2 represents PV power, and the horizontal axis represents time. The prediction system 3 predicts PV power every 30 minutes. For example, at the beginning of each day, the prediction system 3 predicts the predicted PV power value every 30 minutes for the same time slot of the current day based on the actual PV power value for each 30 minutes of the previous day. For example, based on the actual PV power value from 10:30 to 11:00 on the previous day, the average PV power w1 for each time slot from 10:30 to 11:00 on the current day is predicted. Similarly, the prediction system 3 predicts PV power w2 from 11:00 to 11:30, PV power w3 from 11:30 to 12:00, and PV power w4 from 12:00 to 12:30. Here, as a simple example, consider a case where the predicted values ​​of PV power w1 to w4 are set directly as smoothing target values. For example, if the predicted values ​​of the PV powers w1 to w4 are all 100 and the actual values ​​for that day are 50, the battery system 4 must continue to discharge power from the battery 41 to compensate for this difference, which may result in deviation from the usage range (allowable SOC range) of the battery 41. Conversely, if the actual values ​​of the PV powers w1 to w4 continue to exceed the predicted values, such as 150, the battery 41 must continue to be charged, which may also result in a significant deviation from the usage range of the battery 41. Repeated charging and discharging in this manner accelerates the deterioration of the battery 41. Therefore, in this embodiment, the offset correction unit 151 corrects the predicted value of the PV power for a short time ahead based on the difference between the predicted value and the actual value of the PV power.

[0020] For example, assume that it is currently 11:00. At this time, the prediction system 3 has already calculated the predicted values ​​of PV power w1 to w4, and the actual value of PV power w1 (10:30 to 11:00) is known. For example, assume that the actual value of PV power w1 exceeds the predicted value, and the difference between the actual value and the predicted value is d1. The offset correction unit 151 multiplies the difference d1 by a predetermined coefficient k to obtain an offset value (d1 × k), and adds this offset value to the predicted value three frames ahead, that is, the predicted value of PV power w4 from 12:00 to 12:30. Here, the reason for adding to the predicted value three frames ahead is that control must be started for the next (one frame ahead) period from 11:00 to 11:30 based on the smoothing target value that has already been set, and for the period two frames ahead from 11:30 to 12:00, the smoothing target value at the start time of 11:30 is also the smoothing target value for the final time of the previous frame, so it is inappropriate to change it. Note that, although not shown in the figure, for PV power w2, offset correction is performed at 10:00 based on the difference from 9:30 to 10:00, and for PV power w3, offset correction is performed at 10:30 based on the difference from 10:00 to 10:30.

[0021] Furthermore, if the actual value of PV power w1 falls below the predicted value, the offset correction unit 151 subtracts an offset value (d1 × k) obtained by multiplying the difference d1 by a predetermined coefficient k from the predicted value of PV power w4. Similarly, at 11:30, the offset correction unit 151 offset-corrects the predicted value of PV power w5 (not shown) from 12:30 to 13:00 based on the difference d2 between the actual value and the predicted value of PV power w2. This allows the predicted value to approach the actual value when there are consecutive time periods (frames) in which the actual value exceeds or falls below the predicted value, or when there are a large number of time periods (frames) in which the actual value exceeds or falls below the predicted value (even if not consecutive). This reduces the amount of charge / discharge to the battery 41. For example, in the case of solar power generation, if the previous day was cloudy and the current day is sunny, the predicted PV power value predicted by the prediction system 3 based on the previous day's actual value may be lower than the current day's actual value throughout the day. In such a case, by adding the above-described offset value to the predicted value of the PV power by the offset correction of this embodiment, the predicted value can be brought closer to the actually measured value, and the charge / discharge amount can be suppressed.

[0022] The reason for multiplying the difference d1 by the coefficient k is to deal with the fact that, if a behavior occurs in which the predicted value exceeds the actual value for one 30-minute period, the actual value exceeds the predicted value for the next 30 minutes, and then the predicted value exceeds the actual value for the next 30 minutes, the offset correction may actually increase the difference between the predicted value and the actual value, resulting in an adverse effect. For example, multiplying k by a value smaller than 1 (such as 0.5) can reduce the risk of an adverse effect.

[0023] (Smoothing process) Next, the smoothing process for the predicted value of PV power will be described. For example, assume that it is currently 11:00. Lines L12 and L23 in FIG. 2 are smoothing target values ​​calculated for past time periods. The predicted value smoothing unit 153 connects point P3 at the end point of the already calculated line L23 with point P4, which is the average value of the predicted value of the PV power w3 after offset correction and the predicted value of the PV power w4 after offset correction, and sets line L34 connecting P3 and P4 as the smoothing target value. In this way, when predicted values ​​of PV power are obtained every predetermined time (30 minutes), the process of connecting the average values ​​of the predicted values ​​of the PV power after offset correction for adjacent time periods is called the smoothing process for predicted values. In the example of FIG. 2, point P3 represents the average value of the PV power w2 and the PV power w3 after offset correction for adjacent time periods, and point P4 represents the average value of the PV power w3 and the PV power w4 after offset correction for adjacent time periods. The process of connecting point P3 and point P4 is the smoothing process. The line created by the smoothing process indicates the smoothing target value at that time. For comparison, the line L34' created using the predicted values ​​of the PV powers w3 and w4 before offset correction is shown.

[0024] (operation) FIG. 3 shows the flow of the offset correction and smoothing target value calculation process. The predicted value acquisition unit 12 acquires and stores predicted values ​​of PV power every 30 minutes in advance. The actual value acquisition unit 11 acquires actual values ​​of PV power every 30 minutes on the day of control (step S1). Next, the offset correction unit 151 calculates the difference d between the actual value and predicted value of PV power for the immediately preceding 30 minutes. The offset correction unit 151 multiplies the difference d by a coefficient k to calculate an offset value (step S2). Next, the offset correction unit 151 adds or subtracts the offset value calculated in step S2 to or from the predicted value of PV power for the three time slots (frames) ahead, thereby offset-correcting the predicted value (step S3). Next, the predicted value smoothing unit 153 executes smoothing processing (step S4). For example, for three consecutive 30-minute time slots, Time 1, Time 2, and Time 3, the predicted value smoothing unit 153 sets the smoothed target value of PV power at the boundary time between Time 1 and Time 2 to an average value P1 of the predicted value of PV power after offset correction at Time 1 and the predicted value of PV power after offset correction at Time 2. The predicted value smoothing unit 153 sets the smoothed target value of PV power at the boundary time between Time 2 and Time 3 to an average value P2 of the predicted value of PV power after offset correction at Time 2 and the predicted value of PV power after offset correction at Time 3. The predicted value smoothing unit 153 sets the smoothed target value at Time 2 by connecting the average value P1 and the average value P2. The time-series smoothed target value created in this way is a smoothed target value based on the predicted value of PV power. The command value generation unit 14 calculates the difference between the instantaneous smoothed target value and the instantaneous actual value of PV power, and generates a charge / discharge command value that compensates for this difference. In the battery system 4, the control device 42 charges and discharges the battery 41 based on the charge / discharge command value calculated by the command value generating unit 14. As a result, the load is supplied with power indicated by the smoothing target value.

[0025] In the above explanation, the difference d1 between the actual value and the predicted value (predicted value without offset correction) of the PV power w1 is calculated, but since an offset value for the PV power w1 has been calculated for the predicted value from 10:30 to 11:00 at an earlier time (9:30), the offset value may be calculated by calculating the difference d1' between the actual value of the PV power w1 and the predicted value after offset correction, and then calculating the offset value using (d1' × k).

[0026] According to this embodiment, it is possible to reduce the risk of exceeding the upper or lower limit of the usage range of the battery 41 due to a prediction error continuing either above or below. This makes it possible to suppress deterioration of the battery 41.

[0027] Second Embodiment Next, referring to FIGS. 4 to 6, correction of sudden changes in predicted values ​​according to a second embodiment will be described. In the prediction model 31 used by the prediction system 3 to predict PV power, past actual values ​​for the time period being predicted are used as the main explanatory variables. This is because a model with higher overall prediction accuracy can be obtained by using past actual values ​​for the same time period as the main explanatory variables, rather than actual values ​​or predicted values ​​for the immediately preceding time. Therefore, for example, if there is a sudden change in the past actual values ​​used as explanatory variables, a similar sudden change will also appear in the prediction results. This is shown in FIG. 4. The dashed line graph a1 indicates the predicted PV power value predicted by the prediction system 3, and the solid line graph a2 indicates the smoothing target value obtained by performing offset correction and smoothing processing on the predicted PV power value. As shown in the figure, the smoothing target value shows a sudden drop and rise during time period t1. In contrast, the solid line graph a3 indicates the actual PV power value, showing a gradual change during time period t1. As shown in Fig. 4, sudden changes in actual PV power rarely occur, and therefore sudden changes in the predicted value of PV power based on the characteristics of the prediction model can cause unnecessary charging and discharging of the battery 41. In the second embodiment, sudden changes in the predicted value by the prediction system 3 are corrected to prevent an increase in the amount of charging and discharging from the battery 41. This correction is called sudden change correction of predicted value.

[0028] The process of correcting sudden changes in predicted values ​​will be described with reference to Figures 5 and 6. Figure 5 shows an example of predicted values ​​of PV power for every 30 minutes from 10:30 to 12:30. Figure 6 shows the flow of the process of correcting sudden changes in predicted values. In the example of FIG. 5, the predicted value wB from 11:30 to 12:00 is significantly lower than the predicted value wA from 11:00 to 11:30 and the predicted value wC from 12:00 to 12:30. When the predicted value for a certain time slot deviates significantly from the predicted values ​​for the time slots before and after it, as in this example, the sudden change correction unit 152 corrects the predicted value. Specifically, first, the sudden change correction unit 152 determines whether the predicted value for a certain time slot deviates significantly from the predicted values ​​for the time slots before and after it (step S11). The predicted value of the PV power for a certain time slot t is represented by predicted value (t), and the predicted values ​​of the PV power for the time slots before and after it are represented by predicted value (t-1) and predicted value (t+1), respectively, and a predetermined threshold is represented by Th. The sudden change correction unit 152 determines whether the following formula (1) or formula (1') holds: Predicted value (t) + Th < (Predicted value (t-1) + Predicted value (t+1)) ÷ 2 (1) Predicted value (t) - Th>(Predicted value (t-1) + Predicted value (t+1))÷2 (1´) In the example of FIG. 5, the sudden change corrector 152 determines whether either wB+Th<(wA+wC)÷2 or wB-Th>(wA+wC)÷2 is true.

[0029] If there is a large deviation (step S11; Yes), that is, if either formula (1) or formula (1') holds, the sudden change correction unit 152 corrects the predicted value (t) using the predicted value (t-1) and the predicted value (t+1) of the previous and next time periods (step S12). Specifically, the sudden change correction unit 152 corrects the predicted value (t) using the following formula (2). Corrected predicted value (t) = (predicted value (t-1) + predicted value (t+1)) ÷ 2 (2) In the example of FIG. 5, the sudden change corrector 152 calculates the predicted value wB after the sudden change correction by the formula: wB after correction=(wA+wC)÷2.

[0030] (Variation) The value of the corrected predicted value (t) is not limited to that of equation (2), and may be a value that falls within a predetermined range based on the calculation result of equation (2). For example, the sudden change correction unit 152 may calculate the corrected predicted value (t) by adding or subtracting a predetermined correction amount to or from the calculation result of equation (2). In the above example, for consecutive 30-minute periods, if the predicted value (t) at the intermediate time deviates from the average value of the predicted value (t-1) or the predicted value (t+1), a correction for the predicted value variation is performed. However, for example, for the predicted value (t) and the predicted value (t+1) of four consecutive periods, such as the predicted value (t-1), the predicted value (t), the predicted value (t+1), and the predicted value (t+2), if equation (1) holds true between the predicted value (t-1) and the predicted value (t+2) or if equation (1') holds true between both the predicted value (t) and the predicted value (t+1), then both the predicted value (t) and the predicted value (t+1) may be corrected with a value based on equation (2). For example, in FIG. 5, if the predicted values ​​for 10:30 to 11:00 and 12:00 to 12:30 are both large values, and the predicted values ​​for 11:00 to 11:30 and 11:30 to 12:00 are both extremely small values, the predicted values ​​for the two frames from 11:00 to 12:00 may be corrected based on equation (2).

[0031] If there is no large deviation (step S11; No), that is, if neither equation (1) nor equation (1') holds, the sudden change correction unit 152 does not correct the predicted value (t) of the PV power. (Regardless of whether or not the sudden change correction of the predicted value is performed) Next, the predicted value smoothing unit 153 performs a smoothing process (step S4) to calculate a smoothing target value.

[0032] According to this embodiment, deterioration of the battery 41 can be suppressed by avoiding unnecessary charging and discharging that occurs due to the characteristics of the prediction model 31. The second embodiment can be combined with the first embodiment. In this case, the smoothing target value calculation device 10 performs a sudden change correction of the predicted value predicted by the prediction system 3 (steps S11 to S12), and then performs an offset correction (step S3) and a smoothing process (step S4) on the result to calculate the smoothing target value.

[0033] Third Embodiment In the first and second embodiments, a method has been described in which the predicted value of PV power is corrected and the corrected predicted value of PV power is smoothed, thereby improving the accuracy of the smoothing target value and suppressing charging and discharging of the battery 41. In contrast, in the third embodiment, a method will be described in which the actual value of PV power is smoothed to calculate the smoothing target value in a case in which the PV power can be predicted more accurately by calculating the smoothing target value based on the actual value of PV power in a time slot a little earlier on the same day rather than the predicted value of PV power.

[0034] FIG. 7 shows the relationship between the magnitude of PV power generation and fluctuations in PV power. For example, assume that the renewable energy power generation system 1 includes photovoltaic power generation. Graph 7a in FIG. 7 shows the time series trends of the actual PV power values ​​and smoothing target values ​​on a sunny day. Line b1 shows the trend of the smoothing target value, and line c1 shows the trend of the PV power. In other words, the difference between lines b1 and c1 is the charging / discharging power of the battery 41. Graph 7b in FIG. 7 shows the time series trends of the actual PV power values ​​and smoothing target values ​​on a cloudy day. Line b2 shows the trend of the smoothing target value, and line c2 shows the trend of the PV power. The difference between lines b2 and c2 is the charging / discharging power of the battery 41. Here, a sunny day in graph 7a is an example of a case where the total PV power generation amount (daily power generation amount) is large throughout the day. A cloudy day in graph 7b is an example of a case where the total PV power generation amount is small throughout the day. As shown in the figure, when the amount of PV power generation is large, the change over time in the amount of power generation is large, and when the amount of PV power generation is small, the change over time in the amount of power generation is small. On the other hand, a certain degree of prediction error occurs in the predicted value of PV power regardless of the weather, and charging and discharging are required accordingly. In contrast, in the conventional method of calculating the moving average of the actual values ​​of PV power and using that value as the smoothing target value, on sunny days (days when PV power generation is large) when the change over time in PV power is large, the difference between the actual value of PV power and the moving average value of the actual values ​​of PV power is relatively large, resulting in a large amount of charging and discharging. On the other hand, on cloudy days (days when PV power generation is small), the change over time in PV power generation is small, so the difference between the actual value of PV power and the moving average value of the actual values ​​of PV power is relatively small, resulting in a small amount of charging and discharging. In the third embodiment, this property is utilized to switch the calculation method of the smoothing target value based on the predicted value of PV power for the next day from the previous day. Specifically, a certain threshold is set, and if the result of the PV power forecast for the next day (daily cumulative power generation) made the previous day is above the threshold, the predicted PV power value is used, but if it is below the threshold, a method is selected in which the moving average value of the conventional PV power actual value is calculated.

[0035] 8 shows the calculation process of the smoothing target value in the third embodiment. As a premise, the prediction system 3 predicts the predicted value of PV power for each predetermined time period of the next day based on the actual value of PV power of that day at the end of the day, and then integrates these predicted values ​​to predict the predicted value of the PV power amount throughout the next day (i.e., the control target day for calculating the smoothing target value). The predicted value acquisition unit 12 acquires the predicted value of the PV power energy for the next day (step S21). Next, the smoothing target value calculation unit 15 compares the predicted value of the PV power energy for the next day with a predetermined threshold and determines whether the predicted value of the PV power energy is greater than the threshold (step S22). If the predicted value of the PV power energy is greater than the threshold (step S22; Yes), the smoothing target value calculation unit 15 determines to calculate a smoothing target value for each predetermined time period for the next day based on the predicted value of the PV power (step S23). On the other hand, if the predicted value of the PV power energy is equal to or less than the threshold (step S22; No), the smoothing target value calculation unit 15 determines to calculate a smoothing target value for each predetermined time period for the next day based on the actual value of the PV power (step S24).

[0036] In the case of a method for calculating a smoothing target value based on a predicted value of PV power, the effect of prediction error may result in an increase in the charge / discharge amount (progression of deterioration) compared to the conventional method (using a moving average of actual values, etc., as the smoothing target value). In contrast, when fluctuations in power generation are small throughout the day, using the conventional method makes it possible to calculate a smoothing target value with high accuracy. In this embodiment, days when fluctuations in power generation are small throughout the day are considered to be days when the daily PV power amount is small, and the smoothing target value is calculated using the conventional method on days when the PV power amount is small. This makes it possible to further suppress battery deterioration.

[0037] <Fourth embodiment> A processing example in which the first to third embodiments are combined is shown as the fourth embodiment in Fig. 9. According to the fourth embodiment, it is possible to suppress deterioration of the battery 41 while smoothing the power supplied from the renewable energy power generation system 1. FIG. 9 is a diagram illustrating an example of a process for calculating a smoothing target value according to the fourth embodiment. First, the smoothing target value calculation unit 15 selects a smoothing method by the process described in the third embodiment (FIG. 8) based on the day-ahead predicted value of the amount of power generated by the renewable energy power generation system 1 on the day to be controlled (step S31). Next, the smoothing target value calculation unit 15 determines whether to calculate a smoothing target value (step S32). For example, when calculating a smoothing target value based on the actual PV power performance every 30 minutes, the smoothing target value calculation unit 15 waits until the timing to calculate the smoothing target value arrives (step S32; No). When the timing to calculate the smoothing target value arrives, the smoothing target value calculation unit 15 calculates the smoothing target value using the method selected in step S31.

[0038] When the method of calculating the smoothing target value based on the predicted value is selected in step S31 (when the amount of power generation per day is large), the smoothing target value calculation unit 15 calculates the smoothing target value based on the predicted value of the PV power. Specifically, the predicted value acquisition unit 12 acquires the predicted value of the PV power at predetermined time intervals (e.g., every 30 minutes), and the actual value acquisition unit 11 and the SOC acquisition unit 13 acquire the latest actual value of the PV power and the latest SOC of the battery 41, respectively. Then, the sudden change correction unit 152 performs the sudden change correction of the predicted value based on the predicted value of the PV power by the process described in FIG. 6 (step S33). Next, the offset correction unit 151 performs the offset correction based on the predicted value and actual value of the PV power at predetermined time intervals by the process described in FIG. 3 (step S34).

[0039] Next, the SOC correction unit 154 performs SOC correction at predetermined time intervals based on the current SOC value of the battery 41 acquired by the SOC acquisition unit 13 and a predetermined SOC target value (step S35). For example, if the current SOC of the battery 41 is lower than the target value, it is appropriate to charge the battery. The SOC correction unit 154 corrects the predicted value of the PV power after the offset correction to a smaller value so that the battery 41 can be charged by the amount of the insufficient SOC or so that the SOC can be prevented from decreasing further. For example, the SOC correction unit 154 calculates the SOC corrected power by multiplying the power corresponding to the SOC that is insufficient relative to the target value by a predetermined coefficient, and subtracts the SOC corrected power from the predicted value of the PV power after the offset correction a predetermined time later (e.g., three frames ahead). Conversely, if the current SOC of the battery 41 is higher than the target value, it is appropriate to discharge the battery. The SOC correction unit 154 calculates SOC-corrected power by multiplying the power corresponding to the surplus SOC by a predetermined coefficient so that the surplus SOC can be discharged or so that the SOC is prevented from increasing any further, and adds the SOC-corrected power to the predicted value of the PV power after the offset correction after a predetermined time. By performing SOC correction in conjunction with offset correction, the SOC of the battery 41 can be controlled within the usable range, thereby preventing deterioration of the battery 41. After correcting the predicted value of the PV power after the predetermined time through these processes, the predicted value smoothing unit 153 performs smoothing processing using the process described in FIG. 3 and calculates a smoothing target value (step S36).

[0040] If the conventional method is selected as a result of step S31 (if the daily power generation amount is low), the smoothing target value calculation unit 15 calculates a smoothing target value based on the actual value of the PV power. Specifically, the actual value acquisition unit 11 and the SOC acquisition unit 13 respectively acquire the latest actual value of the PV power and the latest SOC of the battery 41, for example, at intervals of one second. Then, the SOC correction unit 154 performs SOC correction on the actual value of the PV power (step S37). Next, the actual value smoothing unit 155 calculates a moving average value using the actual value of the PV power after the SOC correction, and calculates the smoothing target value (step S38). The smoothing target value calculation unit 15 repeatedly executes the processes of steps S37 to S38 at a predetermined control period.

[0041] Next, the command value generation unit 14 generates a charge / discharge command value for the battery system 4 from the difference between the smoothing target value calculated by any method and the actual value of PV power acquired by the actual value acquisition unit 11 (step S39). This value indicates a command value for charge / discharge power for the smoothing system 2. A positive value of the charge / discharge command value indicates discharge, and a negative value indicates charge. In the battery system 4, the control device 42 controls the charge / discharge of the battery 41 based on the charge / discharge command. As a result, the power supplied to the load is controlled to the power indicated by the smoothing target value.

[0042] (effect) As described above, according to this embodiment, the power generated by the renewable energy power generation system 1 is smoothed by the smoothing system 2, while deterioration of the battery 41 included in the smoothing system 2 can be suppressed. More specifically, by predicting the power generated by the renewable energy power generation system 1 and performing offset correction on the prediction result based on the immediately preceding actual value, the charge / discharge amount of the battery 41 can be suppressed and deviation of the battery 41 from its operating range can be suppressed. Furthermore, by performing SOC correction in addition to offset correction, deviation of the battery 41 from its operating range can be more effectively prevented, contributing to suppression of battery deterioration. Furthermore, correction of sudden changes in the predicted value can avoid unnecessary charge / discharge of the battery 41. Furthermore, by switching the calculation method of the smoothing target value based on the day-ahead prediction of the power generation amount of the renewable energy power generation system 1, the difference between the smoothing target value and the actual PV power can be reduced, and the charge / discharge amount and deterioration of the battery 41 can be suppressed.

[0043] FIG. 10 is a diagram illustrating an example of a hardware configuration of a smoothing target value calculation device according to each embodiment. The computer 900 includes a CPU 901 , a main memory device 902 , an auxiliary memory device 903 , an input / output interface 904 , and a communication interface 905 . The smoothing target value calculation device 10 is implemented in a computer 900. The above-described functions are stored in the auxiliary storage device 903 in the form of a program. The CPU 901 reads the program from the auxiliary storage device 903, loads it into the main storage device 902, and executes the above-described processing in accordance with the program. The CPU 901 also allocates a storage area in the main storage device 902 in accordance with the program. The CPU 901 also allocates a storage area in the auxiliary storage device 903 for storing data being processed in accordance with the program.

[0044] A program for implementing all or part of the functions of the smoothing target value calculation device 10 may be recorded on a computer-readable recording medium, and the program may be loaded into a computer system and executed to perform processing by each functional unit. The term "computer system" as used herein includes hardware such as an OS and peripheral devices. If a WWW system is used, the term "computer system" also includes a homepage provision environment (or display environment). The term "computer-readable recording medium" refers to portable media such as CDs, DVDs, and USBs, as well as storage devices such as hard disks built into the computer system. If the program is distributed to the computer 900 via a communication line, the computer 900 may load the program into the main storage device 902 and execute the processing described above. The program may be for implementing part of the functions described above, or may be capable of implementing the functions described above in combination with a program already stored in the computer system.

[0045] As described above, several embodiments according to the present disclosure have been described, but all of these embodiments are presented as examples and are not intended to limit the scope of the invention. These embodiments can be implemented in various other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. These embodiments and their modifications are included in the scope of the invention and its equivalents as defined in the claims, as well as in the scope and spirit of the invention.

[0046] <Additional Notes> The smoothing target value calculation device, power supply system, smoothing target value calculation method, and program described in each embodiment can be understood, for example, as follows.

[0047] (1) A smoothing target value calculation device according to a first aspect is a smoothing target value calculation device 10 that calculates a smoothing target value, which is a target value for the sum of a first power generated by a renewable energy power generation system and a second power charged and discharged by a battery, and includes a predicted value acquisition unit 12 that acquires a predicted value of the first power, a predicted value correction unit (offset correction unit 151, sudden change correction unit 152, SOC correction unit 154) that corrects the predicted value, and a smoothing target value calculation unit (predicted value smoothing unit 153) that smooths the corrected predicted value to calculate a smoothing target value. By correcting the predicted value and smoothing the corrected predicted value to calculate the smoothing target value, it is possible to calculate a smoothing target value with a small amount of charging and discharging.

[0048] (2) A smoothing target value calculation device according to a second aspect is the smoothing target value calculation device of (1), wherein the predicted value correction unit (sudden change correction unit 152) corrects the second predicted value to a value based on the average value of the first predicted value and the third predicted value when a difference between the second predicted value and the average of the first predicted value and the third predicted value is equal to or greater than a predetermined threshold value for each of the first, second, and third consecutive times, i.e., the first predicted value, the second predicted value, and the third predicted value. This makes it possible to avoid excessive charging and discharging that occurs when the predicted PV power shows abrupt changes while the actual PV power shows gradual changes.

[0049] (3) A smoothing target value calculation device according to a third aspect is a smoothing target value calculation device according to (1) to (2), wherein the predicted value correction unit (offset correction unit 151) corrects the predicted value at a fifth hour, which is a predetermined time after the fourth hour, by adding or subtracting a value obtained by multiplying a difference between the predicted value at a fourth hour in the past and the actual value of the first power by a predetermined coefficient. The system corrects future predicted values ​​based on the trend in the difference between past predicted and actual PV power values. This allows the predicted PV power to be brought closer to the actual value, especially when the predicted value tends to exceed or fall short of the actual value, thereby reducing the amount of battery charge and discharge.

[0050] (4) A smoothing target value calculation device according to a fourth aspect is the smoothing target value calculation device of (1) to (3), wherein the smoothing target value calculation unit sets, for a sixth predicted value, a seventh predicted value, and an eighth predicted value, which are the predicted values ​​after correction at successive sixth, seventh, and eighth hours, an average value of the sixth predicted value and the seventh predicted value as the smoothing target value at the start time of the seventh hour, sets an average value of the seventh predicted value and the eighth predicted value as the smoothing target value at the end time of the seventh hour, and sets a value indicated by a line connecting the smoothing target value at the start time of the seventh hour and the smoothing target value at the end time of the seventh hour as the smoothing target value at each time of the seventh hour. This makes it possible to calculate the smoothing target value for the time series based on the average value of the corrected predicted values. By using the average value of the corrected predicted values, even if the corrected predicted values ​​deviate slightly from the actual PV power, the difference can be kept within an intermediate range.

[0051] (5) A smoothing target value calculation device according to a fifth aspect is a smoothing target value calculation device according to any one of (1) to (4), further comprising a method selection unit (smoothing target value calculation unit 15) that selects a method for calculating the smoothing target value, wherein, when the daily total of the predicted values ​​of the first power exceeds a threshold, the method selection unit corrects the predicted value using the predicted value correction unit and smooths the corrected predicted value using the smoothing target value calculation unit to select a method for calculating the smoothing target value, and when the daily total of the predicted values ​​of the first power is equal to or less than the threshold, the method selection unit calculates a moving average value of the actual values ​​of the first power to select a method for calculating the smoothing target value. As a result, when it is expected that fluctuations in PV power over the course of a day will be small, the actual values ​​of PV power over the previous specified time period are smoothed (calculating the moving average value) to calculate the smoothing target value, making it possible to calculate a smoothing target value with high accuracy (close to the actual PV power), and it is expected that the amount of charge and discharge will be reduced. Conversely, when it is expected that fluctuations in PV power over the course of a day will be large, the smoothing target value is calculated based on a value obtained by further correcting the predicted PV power value, which can predict PV power with greater accuracy than a smoothing target value based on the actual values ​​of PV power. This makes it possible to reduce the amount of charge and discharge from the battery.

[0052] (6) A smoothing target value calculation device according to a sixth aspect is a smoothing target value calculation device that calculates a smoothing target value, which is a target value for the sum of a first power generated by a renewable energy power generation system and a second power charged and discharged by a battery, and includes a method selection unit that selects a method for calculating the smoothing target value. When the daily sum of the predicted values ​​of the first power exceeds a threshold, the method selection unit selects a method for smoothing the predicted values ​​to calculate the smoothing target value, and when the daily sum of the predicted values ​​of the first power is equal to or less than the threshold, the method selection unit selects a method for calculating the smoothing target value by calculating a moving average value of the actual values ​​of the first power. As a result, when it is expected that fluctuations in PV power over the course of a day will be small, the actual values ​​of PV power over the previous specified time period are smoothed (a moving average value is calculated) to calculate the smoothing target value, making it possible to calculate an accurate smoothing target value (close to the actual PV power), and it is expected that the amount of charge and discharge will be reduced. Conversely, when it is expected that fluctuations in PV power over the course of a day will be large, the PV power is predicted based on prediction model 31, which can predict PV power with greater accuracy than a smoothing target value based on the actual values ​​of PV power, and the smoothing target value is calculated based on the predicted value of PV power. This makes it possible to reduce the amount of charge and discharge from the battery.

[0053] (7) A power supply system according to a seventh aspect includes a renewable energy power generation system, a battery system that charges and discharges a battery to compensate for output fluctuations of the renewable energy power generation system, and a smoothing target value calculation device according to any one of (1) to (6), wherein the battery system charges and discharges the battery based on the difference between the smoothing target value calculated by the smoothing target value calculation device and the power generated by the renewable energy power generation system. This makes it possible to suppress output fluctuations of renewable energy power generation while also suppressing battery deterioration.

[0054] (8) A smoothing target value calculation method according to an eighth aspect is a smoothing target value calculation method for calculating a smoothing target value that is a target value for the sum of a first power generated by a renewable energy power generation system and a second power charged and discharged by a battery, and includes the steps of obtaining a predicted value of the first power, correcting the predicted value, and smoothing the corrected predicted value to calculate the smoothing target value.

[0055] (9) A program according to a ninth aspect causes a computer that calculates a smoothing target value, which is a target value for the sum of a first power generated by a renewable energy power generation system and a second power charged and discharged by a battery, to execute the steps of obtaining a predicted value of the first power, correcting the predicted value, and smoothing the corrected predicted value to calculate the smoothing target value. [Explanation of symbols]

[0056] 100 Power supply system, 1 Renewable energy power generation system, 2 Smoothing system, 3 Prediction system, 31 Prediction model, 4 Battery system, 41 Battery, 42 Control device, 10 Smoothing target value calculation device, 11 Actual value acquisition unit, 12 Predicted value acquisition unit, 13 SOC acquisition unit, 14 Command value generation unit, 15 Smoothing target value calculation unit, 151 Offset correction unit, 152 Sudden change correction unit, 153 Predicted value smoothing unit, 154 SOC correction unit, 155 Actual value smoothing unit, 900 Computer, 901 CPU, 902 Main memory unit, 903 Auxiliary memory unit, 904 Input / output interface, 905 Communication interface

Claims

1. A smoothing target value calculation device that calculates a smoothing target value that is a target value of power that is a sum of first power generated by a renewable energy power generation system and second power charged and discharged by a battery, a predicted value acquisition unit that acquires a predicted value of the first power; a predicted value correction unit that corrects the predicted value; a smoothing target value calculation unit that smooths the corrected predicted value to calculate the smoothing target value; Equipped with the predicted value correction unit corrects, for a first predicted value, a second predicted value, and a third predicted value, which are the predicted values ​​at each of a first time, a second time, and a third time, to a value based on the average value of the first predicted value and the third predicted value, when a difference between the second predicted value and an average of the first predicted value and the third predicted value is equal to or greater than a predetermined threshold; Smoothing target value calculation device.

2. A smoothing target value calculation device that calculates a smoothing target value that is a target value of power that is a sum of first power generated by a renewable energy power generation system and second power charged and discharged by a battery, a predicted value acquisition unit that acquires a predicted value of the first power; a predicted value correction unit that corrects the predicted value; a smoothing target value calculation unit that smooths the corrected predicted value to calculate the smoothing target value; Equipped with the predicted value correction unit corrects the predicted value for the second time period by adding or subtracting a value obtained by multiplying a difference between the predicted value for a first time period in the past and the actual value of the first power by a predetermined coefficient to or from the predicted value for a second time period that is a predetermined time after the first time period. Smoothing target value calculation device.

3. A smoothing target value calculation device that calculates a smoothing target value that is a target value of power that is a sum of first power generated by a renewable energy power generation system and second power charged and discharged by a battery, a predicted value acquisition unit that acquires a predicted value of the first power; a predicted value correction unit that corrects the predicted value; a smoothing target value calculation unit that smooths the corrected predicted value to calculate the smoothing target value; Equipped with the smoothing target value calculation unit sets, for a first predicted value, a second predicted value, and a third predicted value which are the corrected predicted values ​​at each of consecutive first, second, and third times, an average value of the first predicted value and the second predicted value as the smoothing target value at a start time of the second time, sets an average value of the second predicted value and the third predicted value as the smoothing target value at an end time of the second time, and sets, as the smoothing target value at each time of the second time, a value indicated by a line connecting the smoothing target value at the start time of the second time and the smoothing target value at the end time of the second time. Smoothing target value calculation device.

4. further comprising a method selection unit for selecting a method for calculating the smoothing target value; when a daily total of the predicted values ​​of the first power exceeds a threshold, the method selection unit corrects the predicted value using the predicted value correction unit, smooths the corrected predicted value using the smoothing target value calculation unit, and selects a method for calculating the smoothing target value; When the daily total of the predicted value of the first power is equal to or less than a threshold, a method of calculating the smoothing target value by calculating a moving average value of the actual value of the first power is selected. The smoothing target value calculation device according to any one of claims 1 to 3.

5. a renewable energy power generation system; a battery system that charges and discharges a battery to compensate for output fluctuations of the renewable energy power generation system; A smoothing target value calculation device according to any one of claims 1 to 4; Equipped with The battery system charges and discharges the battery based on the difference between the smoothing target value calculated by the smoothing target value calculation device and the power generated by the renewable energy power generation system.

6. A smoothing target value calculation method for calculating a smoothing target value that is a target value of power obtained by summing a first power generated by a renewable energy power generation system and a second power charged and discharged by a battery, obtaining a predicted value of the first power; correcting the predicted value; smoothing the corrected predicted value to calculate the smoothing target value; and In the step of correcting the predicted values, for a first predicted value, a second predicted value, and a third predicted value, which are the predicted values ​​at each of a first time, a second time, and a third time, when a difference between the second predicted value and an average of the first predicted value and the third predicted value is equal to or greater than a predetermined threshold, the second predicted value is corrected to a value based on the average of the first predicted value and the third predicted value. Smoothing target value calculation method.

7. A method for calculating a smoothing target value, which is a target value of power obtained by adding together a first power generated by a renewable energy power generation system and a second power charged and discharged by a battery, comprising: obtaining a predicted value of the first power; correcting the predicted value; smoothing the corrected predicted value to calculate the smoothing target value; and In the step of correcting the predicted value, a value obtained by multiplying a difference between the predicted value at a first time in the past and the actual value of the first power by a predetermined coefficient is added to or subtracted from the predicted value at a second time that is a predetermined time after the first time, thereby correcting the predicted value at the second time. Smoothing target value calculation method.

8. A method for calculating a smoothing target value, which is a target value of power obtained by adding together a first power generated by a renewable energy power generation system and a second power charged and discharged by a battery, comprising: obtaining a predicted value of the first power; correcting the predicted value; smoothing the corrected predicted value to calculate the smoothing target value; and In the step of calculating the smoothing target value, for a first predicted value, a second predicted value, and a third predicted value which are the corrected predicted values ​​at each of consecutive first, second, and third times, an average value of the first predicted value and the second predicted value is set as the smoothing target value at a start time of the second time, an average value of the second predicted value and the third predicted value is set as the smoothing target value at an end time of the second time, and a value indicated by a line connecting the smoothing target value at the start time of the second time and the smoothing target value at the end time of the second time is set as the smoothing target value at each time of the second time. Smoothing target value calculation method.

9. a computer that calculates a smoothing target value that is a target value of power obtained by summing a first power generated by the renewable energy power generation system and a second power charged and discharged by the battery; obtaining a predicted value of the first power; correcting the predicted value; smoothing the corrected predicted value to calculate the smoothing target value; and In the step of correcting the predicted values, when a difference between a first predicted value, a second predicted value, and a third predicted value, which are the predicted values ​​at each of a first time, a second time, and a third time, and a difference between the second predicted value and an average of the first predicted value and the third predicted value is equal to or greater than a predetermined threshold, the second predicted value is corrected to a value based on an average of the first predicted value and the third predicted value; A program that executes the following.

10. a computer that calculates a smoothing target value that is a target value of power obtained by summing a first power generated by the renewable energy power generation system and a second power charged and discharged by the battery; obtaining a predicted value of the first power; correcting the predicted value; smoothing the corrected predicted value to calculate the smoothing target value; and the step of correcting the predicted value includes adding or subtracting a value obtained by multiplying a difference between the predicted value at a first time in the past and the actual value of the first power by a predetermined coefficient to or from the predicted value at a second time that is a predetermined time after the first time, thereby correcting the predicted value at the second time; A program that executes the following.

11. a computer that calculates a smoothing target value that is a target value of power obtained by summing a first power generated by the renewable energy power generation system and a second power charged and discharged by the battery; obtaining a predicted value of the first power; correcting the predicted value; smoothing the corrected predicted value to calculate the smoothing target value; and in the step of calculating the smoothing target value, a process of setting an average value of the first predicted value and the second predicted value as the smoothing target value at a start time of the second time, an average value of the second predicted value and the third predicted value as the smoothing target value at an end time of the second time, and setting a value indicated by a line connecting the smoothing target value at the start time of the second time and the smoothing target value at the end time of the second time as the smoothing target value at each time of the second time, for a first predicted value, a second predicted value, and a third predicted value which are the corrected predicted values ​​at each time of the second time, A program that executes the following.

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