JP2007295680A - Load control device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To make compatible energy saving performance and economical efficiency in a system including a photovoltaic power generation device and a power accumulation device. <P>SOLUTION: This load control device comprises: the photovoltaic power generation device 1; the power accumulation device 2; an apparatus 3; a power generation prediction part 6; a load prediction part 8; an operation schedule-charging amount calculation part 9; a power accumulation control part 14; and an apparatus control part 15. The operation schedule-charging amount calculation part calculates an operation schedule of the apparatus 3 so that the power generation amount from the photovoltaic power generation device 1 becomes small according to a predicted power generation amount calculated by the power generation prediction part 6 and a predicted load amount calculated by the load prediction part 8, calculates a power generation amount which should be accumulated in a nighttime, and performs the operation control of the apparatus 3 and the charging amount control of the accumulation device 2, thus balancing the use amount of natural energy and the use amount of inexpensive nighttime electric power. By this, the energy saving performance and the economical efficiency can be made compatible. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to a load control method that saves energy and costs by controlling the operation time of a device and the amount of charge of a power storage device, and more particularly to a load control method for a system having a solar power generation device.

  In a system having a conventional solar power generation device and a power storage device of a solar power generation device, as a method for effectively using the generated power of the solar power generation device and reducing the amount of power purchased from a commercial power source, Based on the amount of power generation, the amount of power supplied from the power storage device, and the amount of load power of the power usage equipment, there are those that start and stop the operation of the power usage equipment as needed. (For example, refer to Patent Document 1). FIG. 16 shows a conventional system described in Patent Document 1.

In FIG. 16, a solar power generation device 1 is a device that generates power using sunlight, and a power storage device 2 stores power from the solar power generation device 1 or power supplied from a commercial power source supplied from an electric power company. The load prediction unit 24 calculates a predicted load amount that is a predicted value of the power consumption of all the devices 3. The power comparison unit 25 compares the sum of the amounts of power supplied from the solar power generation device 1 and the power storage device 2 with the predicted load amount predicted by the load prediction unit 24 that predicts the total power consumption of the device 3. The comparison result is output to the stop device selection unit 26. When the difference between the sum of the supplied power amounts and the predicted load amount exceeds a predetermined threshold value, the stop device selection unit 26 operates in order to prevent the stop device selection unit 26 from exceeding the threshold value. Is selected, and the device number of the selected device 3 is output to the device control unit 27. The device control unit 27 acquires the device number, and transmits a command to stop the operation to the device 3 according to the device number and a start command to the devices 3 other than the device 3. When the difference between the sum of the power supplied from the solar power generation device 1 and the power storage device 2 and the predicted load amount predicted by the load prediction unit 24 that predicts the total power consumption of the device 3 does not exceed the threshold value Controlled to store power in the power storage device 2.
JP 2003-309928 A (page 5, FIG. 1)

  However, in the conventional configuration, when the amount of stored electricity is full during the time period when the photovoltaic power generator is generating power, if the operation of the device is stopped, the amount of power used by the entire device is reduced and a reverse tide is generated. There is a case where the generated power amount from the solar power generation device is suppressed and the power generation amount of the solar power generation device is reduced. This is because in home solar power generation devices, when the amount of power generation exceeds the amount of power used, a method of reverse tide to commercial power is used, but in order for the reverse tide to go smoothly, Since the voltage must be higher than the voltage on the commercial power supply side, if many households perform reverse tide at the same time, the voltage on the commercial power supply side will rise, making it difficult to perform reverse tide. This is because the power conditioner of the power generation device may suppress the power generation amount itself.

  In addition, when charging the power storage device, the amount of charge is not taken into account, so when the generated power of the solar power generation device exceeds the power usage of the entire load, the amount of charge of the power storage device becomes full, Since there may be a case where reverse tide occurs without being able to store any more power, the power generation amount of the solar power generation device is also suppressed from this point, and there is a risk that energy saving will not be achieved. Moreover, since the charge amount is not calculated in a planned manner, the use of an inexpensive commercial power source may not be efficient.

  The present invention solves the above-mentioned conventional problems, and both energy saving and economical efficiency are achieved by maximizing the power generation amount of the solar power generation apparatus and increasing the amount of inexpensive late-night power usage. An object of the present invention is to provide a load control device that improves the performance.

  In order to solve the conventional problem, a load control device according to the present invention includes a power generation prediction unit that calculates a predicted power generation amount that is a predicted value of a power generation amount of a solar power generation device based on a past history, and a past history. A load prediction unit that calculates a predicted load amount that is a predicted value of power usage based on the charge amount calculation unit, and a charge amount calculation unit that calculates the amount of power stored in the power storage device at midnight by changing the predicted load amount and the operation time of the device; A storage unit price calculation unit that calculates a storage amount curve that is a transition of the amount of power stored in the power storage device every predetermined time interval and a storage unit price curve that is a unit price of the stored power for each predetermined time interval; and predictive power generation A charge calculation unit that calculates a daily power charge from the amount, the predicted load amount, the storage charge curve, the storage unit price curve, and the charge of the commercial power source; and a storage control unit that controls the storage device based on the calculated charge amount; , Calculated equipment operation And a device control unit for controlling the device based on the Joule, as the most energy-saving and cost saving, and controls the power storage device and the device.

  With this configuration, the surplus power of solar power generation is reduced by controlling the operation time of the device during the time when the predicted power generation amount of the photovoltaic power generation device exceeds the predicted power consumption, and is reduced by changing the operation time of the device. From the surplus power generation amount, the predicted power load, and the remaining power amount in the power storage device, the power generation amount of the photovoltaic power generation device is calculated by calculating the charge amount that is the amount of late-night power to be charged and controlling the charge amount of the power storage device Can be maximized and the amount of inexpensive late-night power used can be increased.

  According to the load control device of the present invention, it is possible to efficiently use the natural energy obtained from the photovoltaic power generation device and increase the usage fee of inexpensive late-night power. Can also be increased.

  Embodiments of the present invention will be described below with reference to the drawings.

  FIG. 1 is a block diagram of a load control device according to an embodiment of the present invention.

  In FIG. 1, a solar power generation device 1 generates power by solar radiation from the sun, converts direct current power into alternating current of a predetermined voltage, and supplies it to the equipment 3 that uses in-house power. Further, the power generation amount every moment is accumulated in the power generation history 5 which is an area on the memory in the load control device.

  When the solar power generation device 1 generates power, the power storage device 2 stores the power generated when the power generation exceeds the amount of power used by the entire device 3 and the low-cost power at midnight.

  The device 3 uses the power supplied from the solar power generation device 1, the power supplied from the commercial power source, or the power supplied from the power storage device 2, and supplies the power to the load history 7 that is an area on the memory. Accumulate usage time and power consumption.

  The communication network 4 is an information communication network such as the Internet, and acquires the weather forecast for the day from the communication network 4.

  The power generation history 5 stores the power generation amount of the photovoltaic power generation apparatus 1 every time in an area on the memory, and generates power generation history information that is a history of power generation amount to the power generation prediction unit 6 in response to a request from the power generation prediction unit 6. Output.

  The power generation prediction unit 6 acquires power generation history information from the power generation history 5 and calculates a predicted power generation amount curve that is a predicted value of power generation amount after 24 hours after 0 hour for each predetermined time interval. The predicted power generation amount curve is output to the amount calculation unit 10, the power storage unit price calculation unit 12, and the charge calculation unit 13.

  The load history 7 accumulates the power usage of the device 3 every moment in an area on the memory, and outputs load history information, which is a history of power usage, to the load prediction unit 8 in response to a request from the load prediction unit 8. To do.

  The load prediction unit 8 acquires load history information from the load history 7 and calculates a predicted load amount curve that is a predicted value of the power consumption after 24 hours from 0 hours after every predetermined time interval. The predicted load amount curve is related to the power consumption of the entire household, and is related to the power usage of each device.

  The operation schedule / charge amount calculation unit 9 acquires a predicted power generation amount curve from the power generation prediction unit 6, acquires a remaining power amount from the power storage device 2, acquires a predicted load amount curve from the load prediction unit 8, and generates solar power The operation schedule of the device 3 in which the surplus of the generated power amount of the apparatus 1 is reduced and the charge amount that is the amount of power that should be stored in the midnight charge time zone are calculated, and the operation schedule stores the charge amount in the device control unit 15 Output to the control unit 14. The operation schedule / charge amount calculation unit 9 includes a surplus and deficient power amount calculation unit 10, a charge amount calculation unit 11, a storage unit price calculation unit 12, and a charge calculation unit 13.

  The surplus and deficient power amount calculation unit 10 changes the predicted load amount curve calculated in advance by the operation schedule / charge amount calculation unit 9 based on the power consumption amount of the device 3 when the operation time of the device 3 is moved. The surplus power generation amount that is the surplus of the power generation amount of the solar power generation device 1 and the solar power generation device 1 during the daytime hours from the predicted load amount curve and the predicted power generation amount curve acquired from the power generation prediction unit 6 Find the amount of power shortage that is not power. The surplus power is calculated by integrating the difference in power when the value of the predicted power generation curve exceeds the value of the predicted load curve, and the insufficient power is calculated in the daytime time zone. It is calculated by integrating the difference in electric energy when the value exceeds the value of the predicted power generation amount curve.

  The charge amount calculation unit 11 acquires the surplus power amount and the shortage power amount from the surplus and shortage power amount calculation unit 10, acquires the remaining power amount that is the power amount remaining in the power storage device from the power storage device 2, and the shortage power amount The charge amount of the power storage device is calculated in consideration of the power storage capacity and the remaining power amount of the power storage device, and is output to the power storage unit price calculation unit 11.

  The power storage unit price calculation unit 12 acquires the remaining power amount from the power storage device 2, acquires the predicted power generation amount curve from the power generation prediction unit 6, and after the operation time of the device calculated in advance by the operation schedule / charge amount calculation unit 9 is changed. Is calculated, and a power storage amount curve that is the amount of power at each predetermined time interval in the power storage device 2 and a power storage unit price curve that is a unit price of power in the power storage device 2 per hour are calculated. Output to the calculator.

  The charge calculation unit 13 acquires the storage amount curve and the storage unit price curve from the storage unit price calculation unit 12, acquires the predicted generation amount curve from the power generation prediction unit, and calculates the equipment schedule calculated in advance by the operation schedule / charge amount calculation unit 9. A predicted load amount curve after changing the operation time is acquired, and a charge is calculated based on the amount of power used at every predetermined time interval, the power supply source, and the unit price of power charge for each power supply source.

  The power storage control unit 14 acquires the charge amount from the operation schedule / charge amount calculation unit 9 and outputs a charge command to the power storage device 2. FIG. 13 shows an example of the charging command. The charge command includes a charge amount and a charge completion time.

  The device control unit 15 acquires the operation schedule from the operation schedule / charge amount calculation unit 9 and outputs the activation time information to the device. FIG. 14 shows an example of activation time information. The start time information includes a device number, a name of the device 3, and an operation start time.

  Next, the processing flow of the present invention will be described with reference to FIGS.

  First, in the present embodiment, the process of accumulating the power generation history of the photovoltaic power generation apparatus 1 in the power generation history 5 is performed at predetermined time intervals, for example, every one minute, and the amount of power used by the device 3 is accumulated in the load history 7. The processing is performed at predetermined time intervals, for example, every one minute. The operation schedule calculation and charge amount calculation processing of the device 3, the data transmission to the device 3, and the data transmission processing to the power storage device 2 are 1 Once a day.

  FIG. 2 is a diagram illustrating a process of calculating an operation schedule and a charge amount of the device 3 according to the present embodiment and transmitting data to the device 3 and the power storage device 2. In Step 1, the current time is acquired, and in Step 2, it is determined whether the current time has reached a predetermined time. In the present embodiment, the predetermined time is set to 3:00 am in which the amount of power used is reduced and the time necessary for storing midnight power can be secured. If it is not the predetermined time, the process returns to Step 1 and the time is continuously checked until the predetermined time is reached.

  When the predetermined time comes, the power generation prediction unit 6 acquires the power generation history information from the power generation history 5 and the weather forecast from the communication network 4 at Step 3, inputs the weather, and outputs the solar power generation device at predetermined intervals. By learning past power generation history information in a neural network model having a power generation amount of 1 and giving a weather forecast for the day, a predicted power generation amount curve that is a predicted value of the power generation amount at every predetermined time interval on the day is calculated. . FIG. 3 shows an example of the predicted power generation curve. In the embodiment of the present invention, since the predetermined time interval is 60 minutes, the power generation amount row indicates the amount of power generated by the solar power generation device 1 in 60 minutes.

  Next, at Step 4, the load prediction unit 8 obtains load history information from the load history 7, sets the input as the power usage for the past 24 hours for each predetermined time interval, and outputs the future 24 hour portion for each predetermined time interval. Calculate the predicted load curve that is the predicted value of the power usage for each predetermined time interval of the current day by learning the past load history information in the neural network model as the power usage and giving the power usage of the previous day To do. FIG. 4 shows an example of the predicted power generation curve. The device number of the device 3 is stored in the first item, the name of the device 3 is stored in the second item, and thereafter, all the devices 3 and the power consumption of each device 3 are stored every 60 minutes. In the predicted load amount curve of all the predicted load amount curves of the device 3, the device number is fixedly assigned 0.

  In addition, in this Embodiment, although the prediction in the electric power generation prediction part 6 and the load prediction part 8 was calculated | required with the neural network, it is not restricted to this method. Further, even when a neural network is used, it is not limited to the model using input / output in the present embodiment.

  Next, in Step 5, the operation schedule / charge amount calculation unit 9 calculates an operation schedule that is a combination of the operation times of the device 3 and a charge amount to be stored in the power storage device 2 at midnight. Details will be described later.

  Next, at Step 6, the power storage control unit 14 transmits the charge amount to the power storage device 2, and performs control so that the transmitted charge amount is stored in the power storage device 2 until the midnight power charge time period ends.

  Next, in Step 7, the device control unit 15 transmits activation time information that is activation start information of the device 3 to the device 3.

  Next, a device operation schedule and charge amount calculation flow in Step 5 will be described with reference to FIG.

  First, at Step 101, the predicted power generation amount curve is acquired from the power generation prediction unit 6, the predicted load amount curve is acquired from the load prediction unit 8, the remaining power amount is acquired from the power storage device 2, and stored in the storage memory. Get the electricity billing system. Next, in Step 102, a shift time zone that is a time zone in which the predicted power generation amount curve exceeds the predicted load amount curve is calculated. Effective use of the power generated by the solar power generation device 1 is realized by moving the operation time of the device 3 during the time when the predicted power generation amount exceeds the predicted load amount. This is because the number of combinations of the devices 3 is reduced by reducing the operation time candidates of the devices 3 from the entire daytime time zone to the shift time zone.

  Next, at Step 103, the minimum charge, which is the minimum value of the daily power charge, is initialized.

  Next, in Step 104, a combination of the operation times of the plurality of devices 3 when the operation time of the device 3 is changed to any time in the shift time zone is created. FIG. 6 shows an example of a combination of operating times of the device 3. The combination number is held in the first item, and the operation time of each device 3 is held thereafter. There are as many lines as there are combination numbers.

  Next, in step 105, the number of repetitions n is initialized.

  Next, in Step 106, a post-shift power amount curve is created. The post-shift load amount curve is a load amount at predetermined time intervals when the operation time of the device 3 is changed from the predicted load amount curve obtained by the load prediction unit 8 according to the combination of the operation times of the device 3 obtained in Step 104. It is created by increasing / decreasing and is used in Step 107, Step 109, and Step 111. FIG. 7 shows the load amount curve after the shift. The post-shift load amount curve has the same data specifications as the predicted load amount curve, but includes load amounts of all the devices 3 only.

  Next, in Step 107, the surplus power amount, the insufficient power amount 1, and the insufficient power amount 3 are calculated based on the shifted power load amount curve and the predicted power generation amount curve. Divide the daytime period into three parts: the time period from the start of the daytime period to the start of the shift period, the shift period, and the end of the shift period until the end of the daytime period. The amount of power that is deficient when the afterload curve exceeds the predicted power generation curve is obtained as insufficient power amount 1, insufficient power amount 2, and insufficient power amount 3, and the predicted power generation curve shows the post-shift load amount curve during the shift time period. The amount of surplus power surplus is obtained as the surplus power amount. Furthermore, the surplus power amount is subtracted from the surplus power amount 2 which is the power amount deficient in the shift time zone to obtain the surplus power amount in the shift time zone.

  Next, the charge amount which is the amount of late-night power stored in the power storage device 2 in Step 108 is calculated. The charge amount calculation will be described with reference to FIG. 8 which is a detailed flow of Step 108.

  First, when the power storage capacity of the power storage device 2 is larger than the value obtained by adding the insufficient power amount 1 and the insufficient power amount 2 at Step 301 and subtracting the surplus power amount, the charge amount is insufficient with the insufficient power amount 1 at Step 302. It is determined as an amount obtained by subtracting the remaining power amount remaining in the power storage device 2 acquired from the power storage device 2 from the sum of the power amount 2. If it is smaller, in Step 302, the surplus power amount and the remaining power amount are subtracted from the storage capacity, and the insufficient power amount 1 is added. This process leaves room for storing the surplus power amount in the power storage device 1 and charges the insufficient power amount 1 and the insufficient power amount 3 generated in the daytime in consideration of the capacity of the power storage device 2. The amount of energy is calculated. By balancing the storage capacity, the amount of insufficient power 1 and the amount of insufficient power 3, the amount of late-night power can be stored without excess or deficiency.

  When the processing of Step 108 for calculating the amount of charge is completed, the processing for calculating the electricity storage unit price is performed at Step 109. With reference to FIG. 9 which is a detailed flow of Step 109, the flow of the process for calculating the storage unit price will be described.

  In Step 401, the storage unit price at the current time is acquired and stored in the storage unit price curve. Since the process for obtaining the operation schedule and the charge amount of the device 3 is executed once a day at 3:00, the current time is 3:00. Next, at Step 402, the amount of electricity stored in the electricity storage device 2 and the electricity storage unit price at 7:00 are calculated, and the electricity storage unit price is stored in the electricity storage unit price curve. The power storage unit price at 7:00 is obtained by the following (Equation 1).

Rate [t] = (R_Pow * R_Rate + N_Pow * N_Rate) / (R_Pow + N_Pow)
Rate []: Array of storage unit price for each predetermined time interval R_Pow: Remaining power amount R_Rate: Remaining power amount unit price N_Pow: Charge amount N_Rate: Late-night power rate (Formula 1)
S_Pow:
S_Rate:
Next, in step 403, the time variable t is initialized.

  Next, in Step 404, the predicted power generation amount at time t is compared with the post-shift load amount. If the predicted power generation amount exceeds the post-shift load amount, surplus power is generated and the power storage amount increases, so the power storage amount is updated in Step 405, and the power storage unit price at time t is calculated in Step 406. The formula for calculating the unit price of power storage at time t is obtained by the following (Formula 2).

Rate [t] = (Charge [t−1] * Rate [t−1]) / Charge [t]
Rate []: Array of storage unit price for each predetermined time interval (Formula 2)
Charge []: Arrangement of storage amount for each predetermined time interval At the calculated Step 407, the storage unit price is stored at time t of the storage unit price curve.

  If the predicted power generation amount at time t is smaller than the post-shift load amount at Step 404, the power generation amount is insufficient and the stored power of the power storage device 2 is used. Therefore, at Step 408, the stored power amount is subtracted. Since the unit price does not change, the power storage unit price at time t-1 is stored as the power storage unit price at time t in Step 409.

  Next, the value of the time t is updated in Step 410, and it is determined whether or not the time t is a daytime time zone in Step 411. If the time is a daytime time, the process returns to Step 404, and the processing from Step 404 to Step 410 is repeated. Create a storage unit price curve. FIG. 10 shows an example of the electricity storage unit price curve. The unit price of electricity every 60 minutes is held, and FIG. 11 shows an example of the electricity storage unit price curve in FIG. In this example, the electricity storage unit price of the previous day continues until 3:00 and the unit price is 8.0 yen because midnight power of 8.0 yen is charged per kWh at 3:00. Since around 9:00, surplus power of the solar power generation device 1 was generated and 0.0 yen of power was charged per kWh, so the unit price was lowered, and after 14:00, charging did not occur. It shows no change.

  After calculating the electricity storage unit price curve in Step 109, the daily power charge is calculated in Step 110. With reference to FIG. 12, which is a detailed flow of Step 109, the flow of calculating the power charge will be described. First, the current time is acquired at Step 501, and the time variable t and the daily charge are initialized at Step 502. Next, in Step 503, the power storage unit price and the power purchase unit price at time t are acquired from the power storage unit price curve. Next, in step 504, the predicted power generation amount at time t is compared with the post-shift load amount. If the post-shift load amount exceeds the predicted power generation amount, a power charge has been generated, and the charge calculation is performed in the subsequent steps. . In the charge calculation, a deficiency in the amount of generated power obtained by subtracting the predicted power generation amount from the post-shift load amount is calculated in Step 505, and in Step 506, it is determined whether the amount of stored power in the power storage device 2 can cover the deficiency. In the case where it can be covered, assuming that power is used from the power storage device 2 in Step 507, the charge at time t is calculated by multiplying the power storage unit price set in Step 503 and the shortage amount. Next, at Step 508, the daily charge is added.

  If it is determined in Step 506 that the power storage device 2 cannot cover the shortage of the predicted generated power, the power purchase amount is calculated by subtracting the power storage amount in the power storage device 2 from the shortage amount in Step 509, and the power purchase amount is purchased in Step 510. Multiply the unit price and calculate the power purchase fee at time t. Next, in Step 511, a charge for the amount of power stored in the power storage device 2 is calculated, and in Step 512, the power purchase charge and the power storage charge are added to the daily charge.

  In step 513, the time t is updated. In step 514, it is determined whether the charge calculation has been completed for 24 hours. If it is not 24 hours, the processing from step 503 to step 513 is repeated.

  When the charge calculation at Step 110 in FIG. 3 is completed, the charge of the combination of the operation times of the devices 3 being calculated at Step 111 is compared. If it is less, in Step 112, the calculated charge is substituted for the minimum charge, and the combination number of the device 3 and the calculated charge amount are substituted for the transmission charge amount.

  Next, the combination number is updated in Step 113, and it is determined in Step 114 whether or not the charge calculation for all the combinations has been completed. If it has not been completed, the process from Step 106 to Step 113 is repeated to minimize the charge. A combination of devices and a charge amount that is an amount of power to be charged in the middle of the night can be calculated.

  FIG. 15 (a) shows a graph of an example of the transition of daily power consumption when the device 3 does not operate according to the operation time information, and FIG. 15 (b) shows a case where the device 3 operates according to the operation time information. The graph of transition of the electric energy of one day of an example is shown. In (a), the operation of the device 3 starts at 8:00 for the washing machine, 8:00 and 22:00 for the dishwasher, and 3:00 and 18:00 for the water heater. In (b), the start time of the washing machine is changed to 10:00, the operation time of the dishwasher 8:00 is changed to 11:00, the operation time of the water heater 18:00 is changed to 15:00. As is clear from the comparison of the graphs, the surplus power amount of the solar power generation device 1 decreases, and the amount of power generated after the power generation by the solar power generation device 1 is completed by the power storage device 1 also increases. Yes.

  According to this configuration, the unit price of the solar power generation device 1 is calculated as 0, and the combination of the operation times of the equipment 3 that maximizes the power generation amount of the solar power generation device 1 is obtained. By transmitting the amount of late-night charge obtained therefrom to the power storage device 2 and controlling the amount of power stored in the power storage device 2, it is possible to use inexpensive late-night power without excess or deficiency. And economic efficiency can be improved.

  The load control device according to the present invention has an operation schedule / charge amount calculation unit that calculates a combination of operation times of the devices 3 at which the power generation amount of the solar power generation device 1 is maximized and a midnight power usage amount at that time. It is useful as a system that maximizes the use of natural energy and improves the economics of late-night power. It can also be applied to uses such as improving the utilization efficiency of wind power generation using natural energy.

Block diagram of a load control device in an embodiment of the present invention The flowchart of the process which calculates the operation schedule and charge amount of the apparatus 3 of the load control apparatus in embodiment of this invention, and transmits control information The figure which shows an example of the prediction electric power generation amount curve of the load control apparatus in embodiment of this invention The figure which shows an example of the prediction load amount curve of the load control apparatus in embodiment of this invention Flow chart of calculation of operation schedule and amount of charge of device 3 of load control device in the embodiment of the present invention The figure which shows an example of the combination of the operation time of the apparatus 3 of the load control apparatus in embodiment of this invention. The figure which shows an example of the load amount curve after a shift of the load control apparatus in embodiment of this invention Flow chart of calculation of charge amount of load control device according to embodiment of present invention Flow chart of calculation of power storage unit price curve of load control device according to embodiment of present invention The figure which shows an example of the electrical storage unit price curve of the load control apparatus in embodiment of this invention The graph of an example of the electrical storage unit price curve of the load control apparatus in embodiment of this invention Flow chart of charge calculation of load control device in the embodiment of the present invention The figure which shows an example of the charge instruction | command of the load control apparatus in embodiment of this invention The figure which shows an example of the starting time information of the load control apparatus in embodiment of this invention (A) Graph of an example when the device 3 does not operate according to the operation time information in the embodiment of the present invention (b) Graph of an example when the device 3 operates according to the operation time information in the embodiment of the present invention Block diagram of a conventional load control device

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Solar power generation device 2 Power storage device 3 Equipment 4 Communication network 5 Power generation history 6 Power generation prediction part 7 Load history 8 Load prediction part 9 Operation schedule and charge amount calculation part 10 Surplus and deficient electric energy calculation part 11 Charge amount calculation part 12 Power storage unit price Calculation unit 13 Charge calculation unit 14 Power storage control unit 15 Device control unit

Claims (5)

A solar power generation device that generates power by sunlight; and
A power storage device that stores electric power generated by the solar power generation device and electric power from a commercial power source;
At least one device that uses power,
A power generation prediction unit that calculates a predicted power generation amount that is a predicted value of the power generation amount of the solar power generation device;
A load prediction unit that calculates a predicted load amount that is a predicted value of the power amount of the device, and a predicted value of all the devices that the solar power generation device, the commercial power source, and the power storage device supply power;
From the predicted power generation amount, the predicted load amount, and the remaining power amount that is the amount of power remaining in the power storage device, an operation schedule that is scheduling information of operation time, and the commercial power source to the power storage device Device operation schedule / charge amount calculation unit to calculate the charge amount from
A power storage control unit that obtains the charge amount from the device operation schedule / charge amount calculation unit and transmits a charge command to the power storage device to control the charge amount of the power storage device;
An operation device control unit that controls the device by acquiring the operation schedule from the device operation schedule / charge amount calculation unit and transmitting activation time information that is activation time information of the device to the device. Load control device provided. The device operation schedule / charge amount calculation unit
From the predicted power generation amount, the predicted load amount, and the remaining power amount, a surplus power amount that is generated when the predicted power generation amount exceeds the predicted load amount that occurs in a predetermined daytime period, and A surplus and deficient power amount calculating unit that calculates a deficient power amount that is generated during the daytime period and cannot be covered by the solar power generation device;
A charge amount calculation unit that calculates a charge amount that is an amount of power to be stored in the power storage device during a predetermined night time period from the surplus power amount, the insufficient power amount, and the remaining power amount;
From the charge amount, the predicted power generation amount, and the remaining power amount, the power storage amount in the power storage device at predetermined time intervals from 0 hours to 24 hours later, and the unit price of the power amount in the power storage device An electricity storage unit price calculating unit for calculating the electricity storage unit price,
The charge calculation part which calculates the charge generate | occur | produced from after 0 hour to 24 hours from the said electrical storage amount, the said electrical storage unit price, the said predicted electric power generation amount, the said predicted load amount, and the said remaining electric energy amount. Load control device. 3. The load adjusting apparatus according to claim 2, wherein the unit price of power storage is obtained from the charge amount, the predicted power generation amount, and the remaining power amount at predetermined time intervals. The daytime time zone and the nighttime zone are a power charge system set by a power supply company, and the nighttime zone is a time zone in which a power rate unit price is lower than the daytime time zone. Item 4. The load adjusting device according to Item 2 or 3. 5. The load adjustment device according to claim 1, wherein the power control device transmits the charge command based on the charge amount and the night time zone.

Images