JP5529176B2 - Distributed power supply control device and distributed power supply control method - Google Patents

Description

  The present invention relates to a distributed power supply control system that uses a storage battery to control the peak shift of power used for each distribution line.

  In the future, the spread of plug-in hybrid cars and electric cars is expected to increase, and the ratio of these cars to the number of cars owned by ordinary households is expected to increase. In addition, it is said that a storage battery mounted on an electric vehicle can store about two days of power used in a general household.

  Since electric vehicles are often parked at homes or offices at night, it is assumed that storage batteries of electric vehicles will be charged with inexpensive late-night power in the future. And if an electric vehicle is not used in the daytime, it will be stored with the storage battery charged. On the other hand, even if it is used, if it is within a short distance, the power of the storage battery remains sufficiently. Conceivable.

JP 2007-330083 A

  By the way, when the power demand increases due to changes in the power usage environment, a power source or distribution facility having a capacity capable of withstanding the peak of the power usage is required. However, it is not easy to reinforce power supply and distribution facilities, and it takes time and money, and it is necessary to obtain a consensus of local residents. In addition, when the difference in power demand between day and night is large, the utilization factor of the facilities is poor and the operation of the power plant becomes inefficient.

  Patent Document 1 discloses an electric power supply system using an electric vehicle. When the remaining power storage amount is larger than a predetermined amount, power can be supplied to a distribution line of a commercial power system by a discharge instruction. Since each home is controlled individually, it does not lead to efficient operation of the commercial power system.

  This invention is made | formed in view of the said subject, The main objective is to aim at the efficient operation | use of an electric power grid | system using a storage battery.

In order to solve the above-mentioned problems, the present invention provides a distributed power supply control device, wherein the power consumed from a distribution line is distributed at a first time or a first time zone during a period from a peak in a day to an off-peak. A first acquisition means for acquiring a measured value of the current flowing through the electric wire and a rate of change thereof, or a power supply state which is the measured value of the electric power and the rate of change thereof; Based on the second acquisition means for acquiring the power supply status and the power supply status acquired by the first acquisition means and the second acquisition means at two times or in a second time zone, the time of the power at off-peak and peak Based on the prediction means for predicting a power curve indicating a change, and the predicted power curve, charging and discharging are performed between the distribution line and a storage battery linked to the distribution line. Characterized in that it comprises a control means for controlling the storage battery, the.
According to this configuration, based on the current of each distribution line and the status of power used in the power system, charging and discharging the storage battery under the distribution line is performed according to the power off-peak and peak, It is possible to realize a peak shift in power usage that is suitable for the characteristics of the power supply target area of the distribution line (for example, a tendency such as usage of home appliances). According to this, efficient operation of a distribution line can be aimed at using a storage battery. In addition, the off-peak and the peak in the claims refer not only to the time when the daily power reaches the minimum value and the maximum value, but also to a time zone including the time.

In the distributed power supply control device of the present invention, the prediction unit further includes means for acquiring a power curve, weather, and temperature indicating the temporal change of the power for each past day, and storing it as performance data. Calculates the degree of similarity between at least the power supply state among the actual data for the most recent predetermined period, the power supply state at the first time or the first time zone, the weather and temperature of the day, and the similarity is the highest. A correction value is calculated based on the difference between the means for selecting the power curve of the high performance data as the first power curve, the weather and temperature corresponding to the selected first power curve, and the weather and temperature of the day, the first power curve is corrected by the correction value, and means for the first power curve the corrected predicted value of the power curve in the off-peak, and the actual data in the latest predetermined period, the Among the power supply state at two times or the second time zone, the weather and temperature of the day, at least the similarity to the power supply state is calculated, and the power curve of the record data with the highest similarity is selected as the second power curve. A correction value is calculated based on the difference between the means, the weather and temperature corresponding to the selected second power curve, and the current day's weather and temperature, and the second power curve is corrected by the correction value. The second power curve may be a predicted value of the power curve at the peak .
According to this configuration, by selecting each performance data of the most recent predetermined period (for example, about two weeks) as the target for calculating the similarity to the current day data, A power curve suitable for the climate and usage of home appliances can be acquired. Even if the selected past power curve day has a higher degree of similarity to the current day than other days, it is considered that there is a slight difference in weather and temperature. By applying to the above, it is possible to predict the power curve with higher accuracy.

In the distributed power supply control apparatus according to the present invention, the control means includes means for extracting a temporal change in the power at a daily off peak from the predicted power curve at the off peak, and power of the extracted off peak. Based on the temporal change, the means for instructing the storage battery to charge the storage battery at a predetermined time every predetermined time, and the temporal change of the power at the peak of the day from the power curve at the predicted peak And means for instructing the storage battery to discharge the storage battery at a predetermined time based on a temporal change in power at the extracted peak.
According to this configuration, the charge / discharge of the storage battery is controlled based on the temporal change of the power extracted from the off-peak or peak state of the predicted power curve, so that the power peak shift can be realized with high accuracy.

Further, in the distributed power supply control device of the present invention, based on the difference between the means for acquiring the power supply state at a daily off peak, the power curve at the predicted off peak, and the power supply state at the acquired off peak, Means for calculating a first correction value, means for instructing the storage battery to calculate the first correction value on the next day, and reflecting the predetermined power to be charged; A means for obtaining, a means for calculating a second correction value based on a difference between the power curve at the predicted peak and the power supply state at the acquired peak, and the calculated second correction value are calculated on the next day. Means for instructing the storage battery to reflect the predetermined power to be discharged.
According to this configuration, since the difference between the predicted value of the power at the off-peak or peak of the day and the actual value is reflected in the charge / discharge control of the storage battery on the next day, the peak shift of the power is realized with higher accuracy. be able to.

Further, in the distributed power supply control device of the present invention, further comprising means for storing a communication address of a smart meter installed in a house that can be fed with an electric vehicle and connected to the distribution line, the control means, It is good also as instruct | indicating charge / discharge control of the storage battery mounted in the said electric vehicle with respect to the said smart meter using the said communication address.
According to this configuration, the distributed power supply control device communicates with the smart meter under the distribution line, and the smart meter controls charging / discharging of the storage battery of the electric vehicle, so that the distribution line can be supplied within the area to be supplied with power. The registered electric vehicle storage battery can be used as a distributed power source.

  The present invention includes a distributed power supply control method. In addition, the problems disclosed by the present application and the solutions thereof will be clarified by the description of the mode for carrying out the invention and the drawings.

  According to the present invention, an efficient operation of an electric power system can be achieved using a storage battery.

1 is a diagram illustrating a configuration of a distributed power supply control system 1. FIG. 1 is a diagram illustrating a configuration of a house 10. 2 is a diagram illustrating a hardware configuration of a control device 7. FIG. 7 is a diagram showing a data configuration stored in a storage unit 74 of the control device 7. FIG. 4 is a flowchart illustrating a process in which the control device 7 controls charging / discharging of the storage battery 21. It is a flowchart which shows the process in which the control apparatus 7 estimates an electric power curve. (A) is a figure for demonstrating the prediction of the electric power curve of a distribution line, (b) is a figure for demonstrating the battery control of an electric vehicle.

  Hereinafter, embodiments for carrying out the present invention will be described with reference to the drawings. The distributed power supply control system according to the embodiment of the present invention performs peak shift control of electric power used for each distribution line by using a storage battery under the distribution line. Based on the midnight off-peak part and the daytime peak part, charge / discharge control of the storage battery is performed from the power system side. Specifically, according to the power curve of the distribution line, charging and discharging instructions are output to registered electric vehicles in the power supply target area at an optimal time. Depending on the situation, daytime charging is also possible. According to this, an efficient operation of an electric power system can be aimed at using a storage battery.

≪System configuration and overview≫
FIG. 1 is a diagram illustrating a configuration of a distributed power supply control system 1. In the distributed power supply control system 1, the control device 7 instructs the smart meter 9 to charge and discharge the storage battery mounted on the electric vehicle 20. The substation 2, bus 3, circuit breaker 4, distribution line 5 , Current transformer 6, control device 7, lead-in wire 8, smart meter 9, house 10, and electric vehicle 20.

  The substation 2 is a substation for distribution, and steps down the voltage of the power supplied from the upper substation and sends it to the bus 3. The bus 3 is interposed between the substation 2 and the circuit breaker 4 and transmits the electric power sent from the substation 2 to each circuit breaker 4. The circuit breaker 4 is installed between the bus 3 and the distribution line 5 and controls whether or not the electric power supplied through the bus 3 is sent to the distribution line 5. The distribution line 5 is extended from the circuit breaker 4 to an area to be fed, and supplies power to each customer's house (house 10). For example, a distribution line 5 of 5 to 10 routes is branched from one substation 2 and extended.

  The current transformer 6 is an instrument current transformer installed in the distribution line 5, and controls a current corresponding to the magnitude of the current flowing through the distribution line 5 (current having a magnitude converted by the current transformation ratio). 7 to send. The control device 7 measures the current sent from the current transformer 6, calculates the current flowing through the distribution line 5 based on the measured current and the current transformation ratio, and passes through the smart meter 9 based on the calculated current. Then, charge / discharge control of the storage battery mounted on the electric vehicle 20 is performed. The charge / discharge control of the storage battery is performed for each distribution line 5. The control device 7 is installed in a control station or a substation, and performs wireless communication or PLC (Power Line Communication) communication with the smart meter 9.

  The lead-in wire 8 branches from the distribution line 5, is connected to each house 10, and directly supplies power to each house 10. The smart meter 9 measures the power consumption in the house 10 by communicating with the control device 7, transmits the measured power consumption to the control device 7, and receives it from the control device 7. Based on the instruction, charge / discharge control of the storage battery mounted on the electric vehicle 20 is performed.

  The house 10 is a consumer's house, consumes power supplied from the distribution line 5 through the service line 8, charges a part of the power to the electric vehicle 20, and consumes electric power discharged from the electric vehicle 20, All or part of the electric power is sent to the lead-in line 8. The electric vehicle 20 is a vehicle equipped with a storage battery, and the storage battery is used as a distributed power source as long as it is parked in the house 10 without operating.

  The distributed power supply control system 1 uses the storage battery of the electric vehicle 20 to control charging by midnight power and discharging in the daytime. In the house 10, the electric vehicle 20 always has a charge amount equal to or greater than a predetermined value, is charged with midnight power, and supplies power in the daytime. The electric vehicle 20 can be used as a private vehicle while receiving control from the power system.

  FIG. 2 is a diagram illustrating a configuration of the house 10. The house 10 includes an indoor wiring 11, a switch 12, a distribution board 13, a home appliance 14, a charger / discharger 30, and a charger / discharger control device 40. Commercial power is supplied to the indoor wiring 11 through the lead-in wire 8, the switch 12 and the distribution board 13. The commercial power is supplied to various home appliances 14 through the indoor wiring 11.

  The charger / discharger 30 is connected to the indoor wiring 11 and the charger / discharger control device 40, and is further connected to the storage battery 21 mounted on the electric vehicle 20 via the connector 31. The storage battery 21 is connected to the distribution line 5 (FIG. 1) through the lead-in wire 8 and the indoor wiring 11. The charger / discharger 30 controls charging / discharging of the storage battery 21 in accordance with a signal received from the charger / discharger control device 40.

  The charger / discharger control device 40 is a computer (information processing device) that controls the wired / charger 30, and corresponds to the smart meter 5 of FIG. In addition, the switch 12 is opened and closed by transmitting a control signal to the switch 12 connected by wire, and the operation of the home appliances 14 such as a lighting device, an air conditioner, a refrigerator, and a television is performed by communication via the wireless communication path 15. Control.

  FIG. 3 is a diagram illustrating a hardware configuration of the control device 7. The control device 7 includes a communication unit 71, a current measurement unit 72, a processing unit 73, and a storage unit 74, and is configured so that each unit can transmit and receive data via the bus 75. The communication unit 71 is a part that performs IP (Internet Protocol) communication and the like with other devices (such as the smart meter 9 and other terminals) via a network, and is realized by, for example, a NIC (Network Interface Card) or the like. The current measuring unit 72 is a part that measures the current sent from the current transformer 6 and calculates the current flowing through the distribution line 5 and is realized by, for example, an ammeter.

  The processing unit 73 transfers data between the respective units via a predetermined memory and controls the entire control device 7. The CPU (Central Processing Unit) stores a program stored in the predetermined memory. It is realized by executing. The storage unit 75 stores data from the processing unit 74 and reads out the stored data. For example, the storage unit 75 is realized by a nonvolatile storage device such as an HDD (Hard Disk Drive) or an SSD (Solid State Drive). The

<< Data structure >>
FIG. 4 is a diagram illustrating a data configuration stored in the storage unit 74 of the control device 7. The storage unit 74 controls smart meter data 74A, shift power data 74B, past measurement data 74C, same-day measurement data 74D, and same-day power curve data 74E in order to control charging / discharging of the storage battery 21 connected under the distribution line 5. The charging instruction data 74F and the discharging instruction data 74G are stored.

  The smart meter data 74A is registration data of the smart meter 9 installed under the distribution line 5, and includes the communication address of the smart meter 9, the capacity of the storage battery 21, and the like. The shift power data 74B is a setting value for specifying the area corresponding to the peak or off-peak of the power curve, that is, the amount of power to be shifted, and a difference value from the peak power or off-peak power is set (FIG. 7 (b)). In addition, you may set the minimum value and the value used when there is a margin in the chargeable / dischargeable capacity as the two-stage difference value. The smart meter data 74 </ b> A and the shift power data 74 </ b> B are set in advance according to the state of the smart meter 9 and the storage battery 21 under control.

  The past measurement data 74 </ b> C includes a change in current (for example, a measurement value every 10 minutes), a weather (for example, peak of daytime power), and an air temperature (for example, a maximum temperature and a minimum temperature) in the distribution line 5. Data, and at least data for the last two weeks is stored. The measurement data 74D on the day is a current value (measurement value) and a rate of change thereof at a predetermined time on the day, weather and temperature (expected value) on the day. For example, the predicted maximum temperature is set when the peak power is predicted, and the predicted minimum temperature is set when the off-peak power is predicted.

  The current day power curve data 74E is data of the current power curve predicted for the distribution line 5, and a peak power curve is set at the time of rising, while an off-peak power curve is set at the time of falling. The charging instruction data 74 </ b> F is a charging time and power capacity to be instructed to the entire smart meter 9 under the distribution line 5. The discharge instruction data 74G is a discharge time and power capacity to be instructed to the entire smart meter 9 under the distribution line 5.

≪System processing≫
FIG. 5 is a flowchart showing processing for controlling charging / discharging of the storage battery 21 mounted on the electric vehicle 20 in the distributed power supply control system 1. In this control, in the control device 7, the processing unit 73 mainly acquires the current value of the distribution line 5 by the current measurement unit 72 and refers to and updates the data in the storage unit 74, while the communication unit 71 controls the distribution line 5. The smart meter 9 is instructed to charge / discharge.

  As a prior process, the control device 7 acquires data of the communication address of the smart meter 9 connected to the distribution line 5 and the power difference value between the peak and the off-peak (see FIG. 7B), and the smart meter data 74A. And it memorize | stores in the memory | storage part 74 as shift electric power data 74B (S501). The communication address is acquired, for example, when the communication unit 71 performs wireless communication or PLC communication with the smart meter 9. The power difference value between the peak and the off-peak is acquired, for example, when the communication unit 71 communicates with a mobile terminal owned by an operator of the power company. Note that the smart meter data 74A and the shift power data 74B are updated when the house 10 is newly built in the power supply target area of the distribution line 5 and the number of smart meters 9 increases or the difference value needs to be adjusted. The

  S502 to S507 are processes that are repeated every day. In addition, acquisition and setting of the past measurement data 74C are performed at any time by a task different from the charge / discharge control process.

  First, the control device 7 predicts an off-peak power curve at the time when the current curve falls (first time), and stores the predicted power curve data 74E on the current day in the storage unit 74 (S502). As shown in FIG. 7A, the falling time is included in a time zone in which charge / discharge control is not performed, and is an intermediate time between the time when the current flowing through the distribution line 5 peaks and the time when it becomes off-peak ( For example, 22:00). Details of the prediction process will be described later with reference to FIG.

  Next, the control device 7 creates charge instruction data 74F based on the predicted off-peak day-of-day power curve data 74E and the shift power data 74B, and stores it in the storage unit 74 (S503). As shown in FIG. 7B, when there is an off-peak power curve, the region specified by the difference value and its area correspond to the time zone and the amount of power to be charged. Or it is good also considering the electric power which changes with time as the electric power which should be charged for every time (to be exact, predetermined time interval). The power for each time zone and power amount or time is defined as charging instruction data 74F. If the remaining capacity (chargeable power amount) of the storage battery 21 is confirmed through the smart meter 9 and it is found that the battery can be further charged, the time period for charging the region surrounded by the power curve and the one-dot chain line and the area thereof should be charged. It is good also as a belt and electric energy. Further, the storage battery capacity of the house 10 registered in the power supply area may be applied at the off-peak time of the power curve, the controllable power capacity and time may be calculated, and the control signal may be transmitted to the smart meter 9.

  And the control apparatus 7 instruct | indicates charge to each smart meter 9 under the distribution line 5 based on the produced charge instruction data 74F and smart meter data 74A (S504). For example, the amount of power to be charged may be divided equally according to the number of communication addresses included in the smart meter data 74A, or by checking the free capacity of each storage battery 21, individual power corresponding to the free capacity An amount of charging may be indicated. At this time, each smart meter 9 receives a charging instruction from the control device 7 and controls charging of the storage battery 21 of the electric vehicle 20 connected to the house 10 from the distribution line 5.

  The difference between the off-peak power used for charging control and the current value measured at the actual off-peak is specified as a correction value based on the current power curve data 74E and shift power data 74B. Reflect on the day's charge control. There are two possible causes for this difference: an error in the chargeable capacity of the storage battery 21 and an error in power prediction. In any case, the difference is used to correct the generated charge instruction data 74F. The correction width is not the difference value itself, but is, for example, ½ of the difference value. According to this, the characteristic of the area can be reflected by using the averaged correction value every day.

  Subsequently, the control device 7 predicts a peak power curve at the time when the current curve rises (second time), and stores it in the storage unit 74 as power curve data 74E for the day (S505). As shown in FIG. 7A, the rising time is included in a time zone in which charge / discharge control is not performed, and is an intermediate time between the time when the current flowing through the distribution line 5 becomes off-peak and the time when it reaches a peak (for example, 10:00). Details of the prediction process will be described later with reference to FIG.

  Next, the control device 7 creates the discharge instruction data 74G based on the predicted peak current power curve data 74E and the shift power data 74B, and stores it in the storage unit 74 (S506). As shown in FIG. 7B, when there is a peak power curve, the region specified by the difference value and its area correspond to the time zone to be discharged and the amount of power. Or it is good also considering the electric power which changes with time as the electric power which should be discharged for every time (to be exact, predetermined time interval). The electric power for each time zone and electric energy or time is set as discharge instruction data 74G. If the charge capacity (dischargeable power amount) of the storage battery 21 is confirmed through the smart meter 9 and it is found that the battery can be further discharged, the region surrounded by the power curve and the two-dot chain line and the area thereof are set as the discharge time and It is good also as electric energy. Further, the storage battery capacity of the house 10 registered in the power supply area may be applied at the peak of the power curve, the controllable power capacity and time may be calculated, and the control signal may be transmitted to the smart meter 9.

  And the control apparatus 7 instruct | indicates discharge to each smart meter 9 under the distribution line 5 based on the produced discharge instruction data 74G and smart meter data 74A (S507). For example, the amount of power to be discharged may be divided equally according to the number of communication addresses included in the smart meter data 74A, or by checking the charge amount of each storage battery 21, individual power corresponding to the charge amount An amount of discharge may be indicated. At this time, each smart meter 9 receives a discharge instruction from the control device 7 and controls discharge from the storage battery 21 of the electric vehicle 20 connected to the house 10 to the distribution line 5. When the processing of S507 is completed, the processing returns to S502.

  It is to be noted that the difference between the peak power used for the discharge control and the power value calculated from the current value measured at the actual peak is specified as a correction value, based on the current power curve data 74E and the shift power data 74B. To be reflected in the discharge control of the day. There are two possible causes for this difference: an error in the dischargeable capacity of the storage battery 21 and an error in power prediction. In any case, the correction value is used to correct the discharge instruction data 74G after it is created. It is done. The correction width is not the difference value itself, but is, for example, ½ of the difference value. According to this, the characteristic of the area can be reflected by using the averaged correction value every day.

  Depending on the usage state of the electric vehicle 20 in front of both charging and discharging, the amount of power related to the storage battery 21 may fluctuate greatly, but if the correction value for each day is reflected in the control, the average of the area Correction can be performed. Moreover, the intermediate time of the time zone which should be charged / discharged several hours before charging / discharging control is notified, and the smart meter 9 of each house 20 charges / discharges at the time optimal for the storage battery 21 in the said time zone. Can also be considered.

  With regard to the electricity bill charged to the house 10, if all the electricity charged in the middle of the night is consumed in the house 10 in the daytime, the unit price of electricity at midnight is cheaper than the daytime. Ten electricity charges are cheaper.

  FIG. 6 is a flowchart illustrating a process of predicting a power curve in the control device 7. In the prediction of the power curve, the current value and the rate of change are obtained at the rise (fall) time of the current of the distribution line 5 on that day, and the same or approximate current curve is selected from the latest past measurement data 74C. Convert to a curve. And the correction value by a weather difference or an air temperature difference is calculated, and an electric power curve is correct | amended with the correction value. Details will be described below.

  First, the control device 7 acquires the value of the current flowing through the distribution line 5 at the set time by the current measuring unit 72, calculates the rate of change of the current value, and stores it as the current day measurement data 74D (S601). The set time is, for example, 10:00 if it rises and 22:00 if it falls. In addition, since it is thought that the time of peak electric power or off-peak electric power changes according to a season or a climate, you may make it change the set time which is those intermediate time at any time.

  Next, the control apparatus 7 acquires the weather and temperature of the day, and memorize | stores it as the measurement data 74D of the day (S602). The weather and temperature may be predicted by the processing unit 73 from the current weather and temperature by a predetermined method, or may be acquired from a weather forecast site accessible by the communication unit 71 via the Internet. Note that the temperature to be acquired is the highest temperature if it rises and the lowest temperature if it falls.

  And the control apparatus 7 calculates the similarity regarding the same day measurement data 74D and the past measurement data 74C of the memory | storage part 74, adds the similarity to the past measurement data 74C, and memorize | stores it (S603). The similarity is calculated based on the current value at the set time and the rate of change thereof, the weather and temperature of the day, and the similarity is calculated for each of the four parameters, and the similarities are totaled. Regarding the current value, the rate of change, and the temperature, the absolute value or square value of the difference is used as the similarity. Regarding the weather, points (for example, 2, 1, 0) are assigned to clear, cloudy, and rain, and the absolute value or square value of the difference is used as the similarity. At that time, each similarity may be weighted so that the similarity is determined with priority given to the current value and the rate of change thereof rather than the weather and temperature of the day.

  The control device 7 determines whether or not the similarity with the current day measurement data 74D has been calculated for the latest two weeks of the past measurement data 74C (S604). By using the past measurement data 74C for the last two weeks, a power usage curve suitable for the season can be obtained. If data for two weeks has not been calculated (NO in S604), the similarity of past measurement data 74C that has not been calculated is calculated (S603).

  If the data for two weeks has been calculated (YES in S604), the control device 7 determines that the total value of the calculated similarities is the smallest, that is, the current on the day with the highest similarity (the most similar). A curve is selected, and a power curve for the day is created based on the current curve (S605). For example, the power curve is acquired by acquiring the voltage value at the installation location of the current transformer 6 and integrating the voltage value on the current curve.

  Further, the control device 7 corrects the created power curve by the weather difference and the temperature difference, and stores it in the storage unit 74 as the current day power curve data 74E (S606). The weather difference is the difference between the weather on the day with the highest degree of similarity and the weather on the day, and uses the points shown above. The temperature difference is the difference between the temperature of the day with the highest degree of similarity and the temperature of the day. Then, the weather difference and the temperature difference are converted into a correction value for power consumption, and the power curve is moved up and down using the correction value to adjust.

  As a conversion method of the correction value of the electric power used, for example, a day of the same or similar weather as the current day is searched from the past measurement data 74C, and the electric power difference due to the difference between the day and the highest temperature (lowest temperature). It is conceivable that some of the power difference is used as a correction value. In addition, from the past measurement data 74C, a day having the same or approximate maximum temperature (minimum temperature) as the current day is searched, the power difference due to the weather difference between that day and the current day is obtained, and some percent of the power difference is set as a correction value. It is possible to do. And by changing the ratio of the power difference when calculating the correction value according to the season, it is possible to make a prediction closer to the actual power consumption. Furthermore, since the power curve has regional characteristics for each distribution line, more accurate prediction can be performed by performing correction based on the regional characteristics.

  As another method for predicting the power curve, a power curve in which the weather and temperature on the day are the same and the current value at the set time and the rate of change thereof are similar may be extracted. Power curves with similar values and rate of change may be corrected by differences in weather and temperature.

  In the above embodiment, in order to make each unit in the control device 7 shown in FIG. 3 function, a program executed by the processing unit 73 is recorded on a computer-readable recording medium, and the recorded program is read into the computer. It is assumed that the control device 7 according to the embodiment of the present invention is realized by executing the control. In this case, the program may be provided to the computer via a network such as the Internet, or a semiconductor chip or the like in which the program is written may be incorporated in the computer.

  According to the embodiment of the present invention described above, efficient operation of the distribution line 5 can be achieved using the storage battery 21 of the electric vehicle 20 in the distributed power supply control system 1.

  Specifically, first, the electric vehicle 20 parked in the house 10 without being used can be effectively used. In particular, the storage battery 21 of the electric vehicle 20 can be used as a stable power source at the peak of electric power by registering with the electric power company in advance.

  Next, controlling for each distribution line 5 on the basis of the power curve of the distribution line 5 means performing control in accordance with the characteristics of the power supply target area of the distribution line 5, and finer peak shift control of power. In addition, since the discharge is performed near the power usage load of the home appliance 14 or the like, the power transmission loss is small.

  And for each distribution line 5, there are individual power curves depending on the load conditions under the distribution line 5, the distribution lines 5 are gathered to become the power curve of the substation 2, and the power curves of each substation 2 are gathered to It is a power curve. According to this, by capturing the power curve of each distribution line 5 that is the source of the power curve of the entire power company and controlling the storage battery 21 in the individual power supply target area, the power supply target area and the entire power company Load leveling can be achieved.

And since the peak of electric power falls by load equalization of electric power, investment in electric power equipment can be reduced. Further, as a secondary effect, it is possible to increase awareness of energy saving and reduce CO ₂ .

<< Other embodiments >>
As mentioned above, although the form for implementing this invention was demonstrated, the said embodiment is for making an understanding of this invention easy, and is not for limiting and interpreting this invention. The present invention can be changed and improved without departing from the gist thereof, and equivalents thereof are also included in the present invention. For example, the following embodiments can be considered.

(1) In the above embodiment, it has been described that the storage battery 21 of the electric vehicle 20 is used as the distributed power source for the peak shift of power, but a general storage battery that is always installed in the house 10 is used. Also good.
(2) In the above embodiment, it has been described that the control device 7 acquires the current flowing through the distribution line 5 from the current transformer 6 and stores the current value as the past measurement data 74C and the same day measurement data 7 4 D. Instead of the current value, the power value may be handled from the beginning.
(3) In the above embodiment, as shown in S601 of FIG. 6, at the set time (rise time or fall time), the measured value of the current flowing through the distribution line 5 is acquired and the rate of change is calculated. However, the present invention is not limited to the set time, and the current and power measurement values in the time zone including the set time may be acquired and the rate of change thereof may be calculated.

DESCRIPTION OF SYMBOLS 1 Distributed power supply control system 5 Distribution line 7 Control apparatus (distributed power supply control apparatus)
73 processing unit 74 storage unit 74A smart meter data (communication address)
74C Past measurement data (actual data)
74E On-day power curve data (first power curve, second power curve)
9 Smart meter 10 Housing 20 Electric car 21 Storage battery

Claims (6)

In the first time or the first time zone during which the power consumed from the distribution line goes from peak to off-peak in one day, the measured value of the current flowing through the distribution line and the rate of change thereof, or the measured value of the power and First acquisition means for acquiring a power supply state that is the rate of change;
A second acquisition means for acquiring the power supply state at a second time or a second time zone during which the electric power goes from off-peak to peak in one day;
Prediction means for predicting a power curve indicating the temporal change of the power at off-peak and peak based on the power supply state acquired by the first acquisition means and the second acquisition means;
Based on the predicted power curve, control means for controlling the storage battery so that charging and discharging is performed between the distribution line and the storage battery linked to the distribution line;
A distributed power supply control device comprising: The distributed power supply control device according to claim 1,
Further comprising means for acquiring a power curve, weather and temperature indicating the temporal change of the power for each past day, and storing it as performance data,
The prediction means includes
Calculates at least the degree of similarity between each of the past record data for the most recent predetermined period, the power supply state at the first time or the first time zone, the weather and temperature of the day, and the highest degree of similarity. Means for selecting the power curve of the data as the first power curve;
A correction value is calculated based on the difference between the weather and temperature corresponding to the selected first power curve and the current day's weather and temperature, the first power curve is corrected by the correction value, and the corrected first Means for making the power curve a predicted value of the power curve at the off-peak ,
Calculates at least the similarity between each of the past record data for the most recent predetermined period, the power supply state at the second time or second time zone, the weather and temperature of the day, and the highest degree of similarity. Means for selecting the power curve of the data as the second power curve;
A correction value is calculated based on the difference between the weather and temperature corresponding to the selected second power curve and the current day's weather and temperature, the second power curve is corrected by the correction value, and the corrected second Means for making the power curve a predicted value of the power curve at the peak ;
A distributed power supply control device characterized by comprising: The distributed power supply control device according to claim 1 or 2,
The control means includes
Means for extracting a temporal change in the power at a daily off peak from the predicted power curve at the off peak;
Means for instructing the storage battery to charge the storage battery at a predetermined time based on a temporal change in power at the extracted off-peak;
Means for extracting a temporal change in the power at the peak of the day from the power curve at the predicted peak;
Means for instructing the storage battery to discharge the storage battery at a predetermined time based on a temporal change in power at the extracted peak;
A distributed power supply control device comprising: The distributed power supply control device according to claim 3,
Means for obtaining said power supply status at off-peak day;
Means for calculating a first correction value based on a difference between the predicted power curve at the off-peak and the obtained power supply state at the off-peak;
Means for instructing the storage battery to reflect the calculated first correction value on a predetermined power to be charged on the next day;
Means for obtaining said power supply status at a peak of one day;
Means for calculating a second correction value based on a difference between the power curve at the predicted peak and the power supply state at the acquired peak;
Means for instructing the storage battery on the next day to calculate the second correction value, and reflecting the predetermined power to be discharged;
The distributed power supply control device further comprising: The distributed power supply control device according to any one of claims 1 to 4,
Means for storing a communication address of a smart meter installed in a house capable of supplying electricity to the electric vehicle and connected to the distribution line;
The control means instructs the smart meter to perform charge / discharge control of a storage battery mounted on the electric vehicle using the communication address.   A distributed power supply control method for controlling charging / discharging of a storage battery linked to a distribution line by a control device,
  The controller is
  In the first time or the first time zone during which the power consumed from the distribution line goes from peak to off-peak in one day, the measured value of the current flowing through the distribution line and the rate of change thereof, or the measured value of the power and Obtaining a power supply state that is the rate of change;
  Predicting a power curve indicating a temporal change of the power at an off-peak appearing after the first time or the first time period based on the acquired power supply state at the first time or the first time period; ,
  Based on the predicted off-peak power curve, controlling the storage battery so that the storage battery is charged from the distribution line;
  Acquiring the power supply state at a second time or a second time zone during which the electric power goes from off-peak to peak in one day;
  Predicting a power curve at a peak appearing after the second time or second time zone based on the acquired power supply state at the second time or second time zone;
  Based on the power curve at the predicted peak, controlling the storage battery such that discharging from the storage battery to the distribution line is performed;
  A distributed power supply control method characterized by executing

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