JP2017225300A - Energy management system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an economical energy management system by storing electric power capable of covering a shortage of power consumption in future based on changes in weathers on that day and the next day.SOLUTION: In an energy management system 1, if a solar radiation intensity on that day is equal to or higher than a predetermined solar radiation intensity and weather report data of the next day acquired by a control section 26 are equal to or lower than the predetermined solar radiation intensity, power is supplied and stored in a large-scale power storage part 23 in accordance with a method selected based on a predetermined economical rationality determination between power generation by a power generation facility 21 and power purchase by a power purchase part 29 for a previously forecasted shortage of a power amount on the next day. If the solar radiation intensity on that day is equal to or lower than the predetermined solar radiation intensity and the weather report data of the next day acquired by the control section 26 are equal to or lower than the predetermined solar radiation intensity, power is supplied and the stored in the large scale power storage part 23 to a full charge level in accordance with the method selected based on the predetermined economical rationality determination between the power generation by the power generation facility 21 or the power purchase by the power purchase part 29.SELECTED DRAWING: Figure 1

Description

  The present invention relates to an energy management system for an area having a power storage unit, and relates to an energy management system that controls discharge / charge of the power storage unit.

  2. Description of the Related Art Conventionally, what is performed using a weather forecast to predict the amount of power generated by a distributed power source using natural energy is known (see Patent Document 1, Patent Document 2, and Patent Document 3). For example, Patent Literature 1 describes that the solar radiation intensity is predicted based on a weather forecast, the power generation amount of solar power generation is predicted, and the operation plan of the fuel cell is determined based on the power generation amount and the demand plan. Has been. Further, Patent Document 2 and Patent Document 3 specify the predicted power generation amount of solar power generation and the predicted power demand under a predetermined condition based on the weather forecast, and the future power supply shortage by solar power generation or commercial power supply A system for pre-charging the minutes is described.

JP 2005-86953 A JP 2010-213507 A JP 2014-107992 A

  By the way, the energy management system described in the related art as described above predicts the amount of photovoltaic power generation on the target day based on the weather forecast on the target day. It is not a judgment that takes into account. Moreover, in patent document 1, since prediction of an electric power demand is based on a report of a consumer, when the said report is not made appropriately, there exists a possibility that a demand prediction may remove | deviate. Further, in Patent Documents 2 and 3, since the amount of power generation due to the predicted solar power generation is insufficient for the demand prediction, it is charged in advance from the solar power generation or the commercial power source. There is a risk that the purchase of power from the power supply may become unreasonably large.

  An object of the present invention is to provide an economical energy management system that can store electric power that can cover a shortage of future power consumption based on changes in the weather on the current day and the next day.

  A first energy management system of the present invention includes a solar power generation unit, a power generation facility that generates power by consuming fuel, a power storage unit that stores power, a power purchase unit that purchases power from a system, An energy management system comprising a consumption facility, a data receiving unit for obtaining weather forecast data, and a control unit for controlling the charging / discharging of the power storage unit, wherein the day is weather with a predetermined solar radiation intensity or more, And in the case where the weather forecast data of the next day acquired by the control unit is a weather of a predetermined solar radiation intensity or less, among the power generation by the power generation equipment and the power purchase by the power purchase unit, the power consumption of the next day predicted in advance, Electric power is supplied by a method selected based on a predetermined economic rationality judgment and stored in the power storage unit, and the weather is less than a predetermined solar radiation intensity on the current day, and the next day's weather forecast acquired by the control unit When the data is weather with a predetermined solar radiation intensity or less, power is supplied by a method selected based on a predetermined economic rationality judgment among power generation by the power generation facility or power purchase by the power purchase unit, and the power storage It is characterized by storing electricity until the battery is fully charged.

  Further, in the second energy management system of the present invention, in addition to the features of the first energy management system, the insufficient power amount predicted in advance is the predicted power generation amount of the photovoltaic power generation unit on the next day, and the next day It is a value calculated by the control unit based on data including the predicted power consumption of the power consuming facility, and the control unit calculates the predicted power generation amount of the solar power generation unit on the next day by the weather forecast for the next day acquired by the control unit. Calculated based on data including data, seasonal data, and position data of the photovoltaic power generation unit, and the control unit calculates the predicted power consumption of the power consumption facility on the next day by the weather forecast data on the next day acquired by the control unit. The calculation is based on data including seasonal data and calendar data having holiday information.

  Furthermore, in the third energy management system of the present invention, in addition to the characteristics of the first or second energy management system, the predetermined economic rationality judgment is based on a power purchase peak value at which a power purchase unit price is a predetermined price or less. In the following range, power is stored in the power storage unit by purchasing power from the power purchase unit, and when the power purchase peak value is exceeded, power is stored in the power storage unit by power generation by the power generation facility.

  In the fourth energy management system of the present invention, in addition to the characteristics of the first or second energy management system, the predetermined economic rationality judgment is made by determining that the unit price of power generation by the power generation facility and the unit price of power purchase are a predetermined price. Compared with the unit price of power purchase by the power purchase unit within the range below the power purchase peak value, which is below, for each time zone, the one with a lower unit price is given priority for power storage to the power storage unit It is characterized by being.

  In the fifth energy management system of the present invention, in addition to the features of any one of the first to fourth energy management systems, the control unit is performed from the area having a plurality of houses to the power consuming facility. When the acquired weather forecast data for the next day is weather having a predetermined solar radiation intensity or more, the control unit controls the power consumption facility from the area having the plurality of houses. The predicted power accommodation amount of the next day is predicted, and when the insufficient power amount of the next day is predicted based on information including a predicted value of the predicted power accommodation amount, the power generation by the power generation facility and the power purchase unit Among the power purchases by, power is supplied by a method selected based on a predetermined economic rationality judgment and stored in the power storage unit.

  In the first energy management system of the present invention, if the current day is a weather of a predetermined solar radiation intensity or more and the weather forecast data of the next day is a weather of a predetermined solar radiation intensity or less, an expected shortage of electric power for the next day Is stored in the power storage unit in advance, and if the weather is less than or equal to the predetermined solar radiation intensity on the day and the weather forecast data for the next day is less than or equal to the predetermined solar radiation intensity, Therefore, when the weather below the predetermined solar radiation intensity continues, for example, when cloudy weather continues, the power storage unit can be charged to full charge without performing the process of predicting the amount of insufficient power. Energy management can be performed in consideration of the weather on two consecutive days without placing an extra burden on the system. The power storage unit stores power in the power storage unit by supplying power by a method selected based on a predetermined economic rationality judgment among power generation by the power generation facility or power purchase by the power purchase unit. Therefore, even when the amount of power generated by the solar power generation unit is small, it can be stored in the power storage unit. Then, by combining the power generation by the power generation facility and the power purchase by the power purchase unit, it is possible to suppress the peak of the power purchase and perform more economical power storage.

  According to the second energy management system, the control unit calculates the predicted power generation amount of the next day's photovoltaic power generation unit based on data including the next day's weather forecast data, seasonal data, and position data of the photovoltaic power generation unit. The predicted power consumption of the next day's power consumption facility is calculated based on the following day's weather forecast data, seasonal data, and data including calendar data having holiday information, the predicted power generation amount of the next day's photovoltaic power generation unit, and Since the power shortage amount predicted in advance is calculated based on data including the predicted power consumption amount of the power consumption facility on the next day, more accurate predicted power generation amount and power consumption amount can be calculated.

  Furthermore, according to the third energy management system, the predetermined economic rationality judgment is made by storing power in the power storage unit by purchasing power from the power purchase unit within the range of the power purchase peak value where the power purchase unit price is below the predetermined price. If the electricity peak value is exceeded, power is stored in the power storage unit by power generation from the power generation facility, so the power purchase by the power purchase unit is leveled and the insufficient power can be compensated by power generation by the power generation facility. It is possible to make a judgment with high economic rationality and to store electricity more economically.

  According to the fourth energy management system, the predetermined economic rationality judgment is based on the unit price of power generation by the power purchaser within the range of the unit price of power generation by the power generation facility and the power purchase peak value where the unit price of power purchase is below the predetermined price. The unit price is compared for each time zone, and the one with a lower unit price is used for power storage to the power storage unit. It is possible to economically and rationally select power generation by the power generation facility and power purchase by the power purchase unit.

  The fifth energy management system controls the amount of power interchange performed from the area having a plurality of houses to the power consuming facility, and when the weather forecast data for the next day is a weather with a predetermined solar radiation intensity or more, The predicted power accommodation amount of the next day is predicted, and when power shortage is expected in the power consumption facility of the next day based on information including the predicted value of the power accommodation amount, power generation by the power generation facility and the power purchase unit Power supply by the method selected based on a predetermined economic rationality judgment, power is supplied and stored in the power storage unit, so that if the next day's weather forecast data is less than a predetermined solar radiation intensity, a plurality of Since there is no surplus of power in the area where the house is located, energy that takes into account the power interchange without predicting the predicted power interchange amount of the next day and without placing an unnecessary burden on the system with unnecessary processing Nejimento can be carried out. Further, by combining the power generation by the power generation facility and the power purchase by the power purchase unit, it is possible to suppress the peak of the power purchase and perform more economical power storage.

The block diagram explaining the 1st area which has a some house, the 2nd area which has a power consumption facility, and the whole structure of an energy management system. The flowchart which shows the routine of the process accumulate | stored in a large-scale electrical storage part in consideration of the power shortage of the 2nd area of the next day. The flowchart which shows the routine of the daytime process A on the next day. The flowchart which shows the routine of the electric power shortage prediction process A of the next day of a 2nd area. The flowchart which shows the routine of an electric power accommodation amount prediction process. The flowchart which shows the routine of the daytime process B on the next day. The flowchart which shows the routine of the electric power shortage amount prediction process B on the next day of a 2nd area. The flowchart which shows another routine of economic rationality judgment. The graph which shows the electric power supply and demand of the 2nd area when the weather of today and the next day is less than predetermined solar radiation intensity. The graph which shows the electric power supply-and-demand of the 2nd area when today is more than predetermined solar radiation intensity and the next day is less than predetermined solar radiation intensity. The graph which shows the electric power supply-and-demand of the 2nd area when today is less than predetermined solar radiation intensity and the next day is more than predetermined solar radiation intensity. The graph which shows the electric power supply and demand of the 2nd area when the weather of today and the next day is more than predetermined solar radiation intensity.

  Hereinafter, the best embodiment of the energy management system 1 according to the present invention will be described with reference to the drawings. The energy management system 1 of the present embodiment is an energy management system 1 that controls the amount of power interchange from a first area 10 having a plurality of houses 11 to a second area 20 having one or more power consuming facilities.

  As shown in FIG. 1, each house 11 provided in the first area 10 is provided with a first solar power generation unit 12 and a home power storage unit 13. The first solar power generation unit 12 is installed on the roof of each house 11. In the present embodiment, the first solar power generation unit 12 is installed by selecting either a solar battery with a capacity of 2 kW or a solar battery with a capacity of 3.5 kW for each house 11. The home power storage unit 13 is a lithium ion storage battery having a capacity of 8 kWh. The solar cell capacity of the first solar power generation unit 12 and the capacity of the home power storage unit 13 are not limited to this, and for example, the first solar power generation unit 12 or the home power storage having a different capacity for each house 11. It may be part 13.

  In the second area 20, a power generation facility 21, a second photovoltaic power generation unit 22, a large-scale power storage unit 23, a power consumption facility 24, and a CEMS (community energy management system) server 25 are provided. In this embodiment, the power generation facility 21 is a gas engine cogeneration power generation facility. The power generation equipment 21 is not limited to this. For example, it is not limited to cogeneration, that is, the one that supplies electricity and heat at the same time, and may be the power generation equipment 21 that supplies only electricity. In addition to power generation using fossil fuels such as natural gas, liquefied natural gas, and petroleum, a fuel cell using, for example, hydrogen may be used. The power generation facility 21 may be any power generation facility 21 as long as it can generate power without being affected by the weather.

  The second photovoltaic power generation unit 22 is a solar cell having a capacity of 900 kW. The “solar power generation unit” in the present invention corresponds to the second solar power generation unit 22 in the present embodiment. It is installed on the roof of the power consumption facility 24 in the second area 20. Further, in the present embodiment, the large-scale power storage unit 23 is a redox flow storage battery that is a fluid battery that performs charging and discharging by causing a reduction-oxidation reaction of ions to proceed by pump circulation of a solution. . Redox flow batteries are safe because they do not use or generate flammable or explosive substances. In addition, the redox flow storage battery has a long life because there is no limit on the discharge and charge cycle, and the life of the electrolyte is semi-permanent. Since the battery capacity can be increased only by adding a solution tank, it is suitable for a large facility. The “power storage unit” in the present invention corresponds to the large-scale power storage unit 23 in the present embodiment.

  The power consumption facility 24 is a facility that consumes a larger amount of power than the house 11 such as an office building, a commercial facility, or a factory. One or a plurality of these power consumption facilities 24 are provided in the second area 20, and the demand increases or decreases at a timing different from the power demand in the house 11.

  The CEMS server 25 has at least a control unit 26, a data reception unit 27, and a storage unit 28, which may exist in one personal computer or are physically separated from each other. You may do it.

  The data receiving unit 27 is an interface connected to the Internet 3 or a LAN (Local Area Network). The data receiving unit 27 receives data indicating each state from each unit of the first area 10 and the second area 20 and from an external server (not shown). Accept data required for energy management. Specifically, the data receiving unit 27 receives weather forecast data from the external weather forecast server via the Internet 3. In addition, the data receiving unit 27 receives the discharge amount data and the storage amount data from the in-home storage unit 13 of each house 11. In addition, the data receiving unit 27 receives an actual measurement value of the power generation amount of the first solar power generation unit 12. Further, the data receiving unit 27 receives an actual measurement value of the total power consumption in the first area 10.

  The data receiving unit 27 also receives the power generation amount of the power generation facility 21, the power storage amount of the large-scale power storage unit 23, and the discharge amount data. Further, the data receiving unit 27 receives the actual measurement value of the power generation amount of the second solar power generation unit 22 and the actual measurement value of the total power consumption in the second area 20. Further, the data receiving unit 27 accepts at least the weather forecast data for the next day.

  Although not shown, the control unit 26 is a computer including a CPU (Central Processing Unit) and a memory, and controls each unit of the first area 10 and the second area 20 based on data received by the data receiving unit 27. . The control unit 26 performs a process of determining whether or not there is surplus power in the first area 10. If there is surplus power, the control unit 26 performs a process of determining whether or not to allow power to be supplied to the second area 20. If it is insufficient, a process to supplement power is performed. Further, the storage unit 28 stores information such as calendar information including day information and holiday information.

  The power purchase unit 29 is a server that purchases electric power from an electric power company in accordance with the determination of the control unit 26 (not shown). Note that the control unit 26 may also serve as the power purchase unit 29.

  Each house 11 in the first area 10 and each facility in the second area 20 are connected by an existing power transmission network 4, and each house 11 can purchase power from an electric power company through the existing power transmission network 4. Power can be sold to electric power companies. In the second area 20, the power purchase unit 29 collectively receives necessary power from the power company.

  Next, the process which the control part 26 mainly performs of the energy management system 1 comprised as mentioned above is demonstrated. First, the data receiving unit 27 acquires weather forecast data, and the control unit 26 grasps the expected weather for the next day (S100). Next, the control unit 26 determines whether or not today's weather is less than a predetermined solar radiation intensity (S101). Specifically, for example, an illuminance sensor (not shown) may be provided in the vicinity of the second solar power generation unit 22, and based on data transmitted from the illuminance sensor, it may be determined whether the intensity is less than a predetermined solar radiation intensity, or Further, it may be determined whether or not the solar radiation intensity is less than a predetermined solar radiation intensity based on the actual measurement value of the power generation amount of the second solar power generation unit 22. Further, in the morning, for example, it may be determined whether or not today's weather is less than a predetermined solar radiation intensity based on weather forecast data after the afternoon. In the present embodiment, “greater than or equal to the predetermined solar radiation intensity” is equal to or higher than the solar radiation intensity when the weather is clear, and “below the predetermined solar radiation intensity” means that the weather is cloudy in the present embodiment. The solar radiation intensity is less than the case.

  If it is determined that the current day's weather is less than the predetermined solar radiation intensity (S101: YES), it is determined whether the next day's weather is less than the predetermined solar radiation intensity (S102). That is, based on the weather forecast data, if the next day's weather is cloudy, rainy, or snowy, it is determined that the weather is less than the predetermined solar radiation intensity (S102: YES). On the other hand, when the next day's weather is clear or clear, it is determined that the weather is equal to or greater than the predetermined solar radiation intensity (S102: NO).

  If it is determined that the next day's weather is below the predetermined solar radiation intensity (S102: YES), the current day and the next day are weather below the predetermined solar radiation intensity, and as shown in the graph of FIG. Can not be procured only in the daytime of the next day, so that from the sunset of today to midnight, the large-scale power storage unit 23 is charged to full charge as shown by A in FIG. 9 (S103). Specifically, the power purchase unit 29 first purchases power from the power company and purchases power until the power purchase peak value is reached or the large-scale power storage unit 23 is fully charged. Here, the power purchase peak value is, for example, the value of contract power contracted with an electric power company, and it is not possible to purchase power exceeding this power purchase peak value or it exceeds this power purchase peak value. When purchasing power, it means a value that increases the unit price of the power paid to the power company.

  When power is purchased until the power purchase peak value or the large-scale power storage unit 23 is fully charged (S103), the large-scale charging unit determines whether or not it is fully charged (S104). If it is determined that the large-scale charging unit is fully charged (S104: YES), the process proceeds to daytime processing A (S106) on the next day. On the other hand, if it is determined that the large-scale charging unit is not fully charged (S104: NO), then the control unit 26 causes the power generation facility 21 to generate power and charges the large-scale power storage unit 23 until it is fully charged. (S105). As described above, when the power purchase unit price is equal to or lower than the power purchase peak value at which the power purchase unit price is equal to or lower than the predetermined price, power is stored in the power storage unit by the power purchase by the power purchase unit 29. Therefore, the amount of power purchased from the power company does not exceed the power purchase peak value and can be stored economically. Here, the “predetermined price” is a unit price of power generation by the power generation facility 21, for example. Steps 103 to 105 are “predetermined economic rationality determination” in the present invention.

  After the large-scale power storage unit 23 is fully charged as described above, the process proceeds to daytime process A the next day (S106). Next-day daytime processing A shown in FIG. 3 is processing performed during the day of the next day. In this process, power generation by the second solar power generation unit 22 is first performed (S201). Since the next day's weather is less than the predetermined solar radiation intensity, the power generation amount of the second photovoltaic power generation unit 22 is small. Next, power generation is performed by the power generation facility 21 (S202), and further, the power purchase unit 29 purchases power by collective power reception (S203). However, since the amount of power generated by the second solar power generation unit 22 is small, power generation by the second solar power generation unit 22, power generation by the power generation facility 21, and collective power reception by the power purchase unit 29 are insufficient as shown in FIG. Occurs, and the large-scale power storage unit 23 is discharged (S204) to compensate for the shortage.

  Thus, as shown in A of FIG. 9, when the weather of today and the next day is less than the predetermined solar radiation intensity, the power generation by the power generation facility 21 based on the predetermined economic rationality judgment after the sunset of today / Or supply power exceeding the power demand of the second area 20 by collective power reception by the power purchase unit 29 and charging until the large-scale power storage unit 23 is fully charged, so that the large-scale power storage unit 23 is discharged the next day. By doing so, the power shortage can be compensated.

  Returning to FIG. 2, when the daytime processing A is completed the next day (S106), this routine is terminated. Note that this routine is a process that is regularly performed, for example, every 30 minutes, and when the weather forecast is changed, the process that is performed every 30 minutes is changed.

  Returning to step 102, if it is determined that the next day is not less than the predetermined solar radiation intensity (S102: NO), that is, the current day is less than the predetermined solar radiation intensity, but the next day is equal to or higher than the predetermined solar radiation intensity. Prediction process A (S107) of the power shortage in the two areas 20 is performed. The power shortage prediction process A in the second area 20 is a process that is performed when the next day is predicted to be weather having a predetermined solar radiation intensity or more. In the prediction process A of the power shortage amount in the second area 20, the control unit 26 first acquires various data (S300). Specifically, the control unit 26 obtains the next day's weather forecast data, season data, position data of the second solar power generation unit 22, and calendar data having holiday information from the information stored in the storage unit 28. The calendar data is information that affects power demand such as days of the week and holidays. For example, when the power consumption facility 24 is an office building or a factory, the power demand decreases on a holiday or the like.

  And if various data are acquired (S300), next, the electric power generation amount of the 2nd photovoltaic power generation part 22 will be estimated (S301). Specifically, the control unit 26 predicts the next day's solar radiation intensity from information such as the next day's weather forecast data, season data, and position data of the solar power generation unit, and determines the power generation amount of the second solar power generation unit 22. Predict. Then, the sum of the power generation amount of the second photovoltaic power generation unit 22, the maximum power generation amount of the power generation facility 21, and the power purchase peak value is calculated (S302), and the power amount that can be supplied to the second area 20 the next day is predicted. .

  Next, the power consumption amount of the next day in the second area 20 is predicted (S303). Specifically, the power consumption is predicted based on the next day's weather forecast data, season data, calendar data having holiday information, and the like. For example, it is possible to predict the temperature from the weather forecast data and season data, and from the holiday information, the power consumption such as the usage rate of the air conditioner in the office as the power consumption facility 24 can be predicted.

  Next, it is determined whether or not the second area 20 of the next day is short of power (S304). Specifically, it is determined whether the amount of power that can be supplied to the second area 20 calculated in step 302 the next day is less than the power consumption of the second area 20 calculated in step 303 the next day. Then, if it is determined that the second area 20 of the next day is not short of power (S304: NO), this process is terminated as it is. On the other hand, if it is determined that the second area 20 of the next day is inadequate (S304: YES), next, a process of predicting the power accommodation amount from the first area 10 to the second area 20 is performed (S305). Specifically, a power accommodation amount prediction process as shown in FIG. 5 is performed. FIG. 5 is a flowchart showing a routine of power accommodation amount prediction processing. In the power accommodation amount prediction process, first, various data are acquired (S400). Specifically, the control unit 26 acquires the next day's weather forecast data, season data, position data of the first solar power generation unit 12, and calendar data having holiday information from the information stored in the storage unit 28.

  Next, a process of predicting the power generation amount of the next day of the first solar power generation unit 12 is performed (S401). Specifically, the control unit 26 predicts the solar radiation intensity of the next day from information such as the next day's weather forecast data, season data, and position data of the first solar power generation unit 12, and Predict power generation. Then, a process for predicting the power consumption of the next day in the first area 10 is performed (S402). Specifically, the power consumption is predicted based on the next day's weather forecast data, season data, calendar data having holiday information, and the like. For example, the power consumption can be predicted by predicting the temperature from the weather forecast data or season data, or by predicting the staying time of the resident of the house 11 from the weather forecast data or holiday information.

  Next, it is determined whether there is surplus power for the next day in the first area 10 (S403). Specifically, when the power generation amount on the next day of the first solar power generation unit 12 is larger than the power consumption amount on the next day of the first area 10, it is determined that there is surplus power. If it is determined that there is surplus power in the first area 10 (S403: YES), then the control unit 26 determines whether it is within the power interchange limit (S404). In the present embodiment, power interchange from the first area 10 to the second area 20 is entrusted using the existing power network 4, so that the reverse power flow from the load on the existing power network 4 is limited to a predetermined range. Therefore, power interchange cannot be performed beyond this range. If it is determined that it is not within the power interchange limit (S404: NO), the process is terminated as it is, and the process proceeds to step 306 in FIG. On the other hand, if it is determined that it is within the power interchange limit (S404: YES), the amount of power interchange performed from the first area 10 to the second area 20 is predicted (S405). That is, the amount of power generated on the next day of the first solar power generation unit 12 is an amount of power that exceeds the amount of power consumed on the next day of the first area 10, and the amount of power within the power interchange limit is predicted as the amount of power interchange on the next day. . Then, this process ends, and the process proceeds to step 306 in FIG.

  Returning to step 403, if it is determined that there is no surplus power in the first area 10 (S <b> 403: NO), that is, the power generation amount on the next day of the first solar power generation unit 12 is larger than the power consumption on the next day in the first area 10. If the number is small, it is next determined whether or not there is a surplus in the home power storage unit 13 (S406). That is, if the remaining amount of power stored in the home power storage unit 13 remains after compensating for the power shortage in the first area 10, it is determined that there is a surplus in the home power storage unit 13. If there is no surplus in the home power storage unit 13 (S406: NO), this process is terminated as it is, and the process proceeds to 306 in FIG. On the other hand, if it is determined that there is a surplus in the home power storage unit 13 (S406: YES), it is then determined whether the power interchange is within the limit (S407). If it is determined that it is within the power interchange limit (S407: YES), the surplus power of the home power storage unit 13 is predicted as a discharge amount (S408), and surplus power generated by this discharge is converted from the first area 10 to the second area 20 on the next day. (S405), the process ends, and the process proceeds to step 306 in FIG. On the other hand, if it is determined that it is not within the power interchange limit (S407: NO), this process is terminated as it is, and the process proceeds to step 306 in FIG.

  In step 306 of FIG. 4, a process for predicting the power shortage is performed. Specifically, the next day of the second area 20 calculated in step 303 is the sum of the amount of power that can be supplied to the second area 20 calculated in step 302 the next day and the predicted value of the next day's power interchange amount calculated in step 306. When the power consumption is less than the power consumption amount, the portion of the power consumption that exceeds the sum of the supply amount and the accommodation amount becomes the power shortage amount of the second area 20 on the next day. When the power shortage amount of the second area 20 of the next day is calculated (S306), it is then determined whether or not the second area 20 is short of power the next day (S307). If it is determined that there is no power shortage (S307: NO), this process ends, and the process returns to FIG. 2 to perform daytime processing (S108) on the next day.

  If it is determined that the second area 20 of the next day is inadequate (S307: YES), the second power calculated in step 306 is calculated for the large-scale power storage unit 23 as indicated by A in FIG. A process of charging until the power shortage amount of the next day in the area 20 is performed (S308). Specifically, the power purchase unit 29 first purchases power from the power company and purchases power until the power purchase peak value is reached or until the remaining power storage amount of the large-scale power storage unit 23 exceeds the power shortage amount of the next day. .

  When the power purchase peak value or the large-scale power storage unit 23 purchases more power than the next day's power shortage (S308), it is determined whether or not the remaining power storage amount of the large-scale charging unit is less than the next day's power shortage (S309). ). When the amount of electricity stored in the large-scale charging unit is equal to or greater than the amount of power shortage on the next day (S309: NO), the process returns to FIG. 2 and proceeds to daytime processing B (S108) on the next day. On the other hand, if it is determined that the remaining amount of electricity stored in the large-scale charging unit is less than the power shortage amount of the next day (S309: YES), the control unit 26 causes the power generation facility 21 to generate power, and the large-scale power storage unit 23 The battery is charged until the power shortage amount on the next day is reached (S310). Steps 308 to 310 are “predetermined economic rationality determination” in the present invention.

  Returning to FIG. 2, the next day daytime process B (S108) is a process performed during the day of the next day, as shown in FIG. In this process, first, power generation by the second solar power generation unit 22 is performed (S501). As shown in FIG. 11 or FIG. 12, since the next day's weather is not less than a predetermined solar radiation intensity, the amount of power generated by the second solar power generation unit 22 is large. Next, power generation is performed by the power generation facility 21 (S502), and further, the power purchase unit 29 purchases power by collective power reception (S503). And when shortage arises as shown to B of FIG. 11, it will cover by the electric power interchange from the 1st area 10 (S504). Since the amount of power generated by the first solar power generation unit 12 in the first area 10 is large because the solar radiation intensity is higher than the predetermined solar radiation intensity, and surplus power is generated in the first area 10, as shown in FIG. The surplus power generated in the second area 20 due to the power interchange from the first area 10 is charged in the large-scale power storage unit 23 (S505). Then, during the time period when the amount of photovoltaic power generation before and after sunset decreases, as shown in FIG. 11D, the large-scale power storage unit 23 charged in the daytime is discharged (S506), and the shortage of the second area 20 And the routine of daytime processing B on the next day is completed.

  Thus, as shown in FIG. 11A, when the next day's weather is equal to or higher than the predetermined solar radiation intensity, the amount of power shortage in the second area 20 the next day is predicted, and after the sunset of today, a predetermined economy Based on the rationality judgment, the large-scale power storage unit 23 is charged with the amount of power shortage the next day by the power generation by the power generation facility 21 and / or the collective power reception by the power purchase unit 29. Since there is no unnecessary power generation or purchase, it is economical and the local production and consumption rate of power can be increased.

  Returning to step 101 of FIG. 2, if it is determined that today's weather is not less than the predetermined solar radiation intensity (S101: NO), it is determined whether the next day's weather is less than the predetermined solar radiation intensity (S109). That is, based on the weather forecast data, if the next day's weather is cloudy, rainy, or snowy, it is determined that the weather is less than a predetermined solar radiation intensity (S109: YES). However, when it is clear or clear, it is determined that the weather is equal to or higher than a predetermined solar radiation intensity (S109: NO).

  When it is determined that the next day's weather is less than the predetermined solar radiation intensity (S109: YES), the power shortage prediction process B of the second area 20 of the next day is executed (S110). As shown in FIG. 7, the power shortage prediction process B in the second area 20 is a process performed when it is predicted that the weather today is equal to or higher than the predetermined solar radiation intensity and the next day is less than the predetermined solar radiation intensity. It is. The power shortage prediction process B in the second area 20 is the same as steps 300 to 303 in the power shortage prediction process A in the second area 20 shown in FIG. Therefore, detailed description is omitted. In the power shortage prediction process B of the second area 20, the control unit 26 first acquires various data (S300), and then predicts the power generation amount of the second solar power generation unit 22 (S301). . Then, the sum of the power generation amount of the second photovoltaic power generation unit 22, the maximum power generation amount of the power generation facility 21, and the power purchase peak value is calculated (S302), and the power amount that can be supplied to the second area 20 the next day is predicted. . Next, the power consumption amount of the next day in the second area 20 is predicted (S303).

  Next, the power shortage amount of the second area 20 on the next day is predicted (S601). Specifically, power shortage of the second area 20 on the next day is calculated by dividing the amount of power that can be supplied to the second area 20 calculated in step 302 from the power consumption on the next day of the second area 20 calculated in step 303. Predict the amount. In the power shortage prediction process B of the second area 20, the power interchange amount from the first area 10 to the second area 20 is not predicted. That is, since the next day's weather is less than the predetermined solar radiation intensity, almost no surplus power is generated in the first area 10 on the next day, so it is necessary to determine the amount of power shortage on the next day in the second area 20 in consideration of the power interchange amount. There is no. In this way, an unnecessary step of calculating the power accommodation amount can be eliminated according to the weather of the next day ascertained from the weather forecast data.

  When the prediction process B of the power shortage amount in the second area 20 is executed (S110), next, as shown in the graph of FIG. From sunset to midnight, as shown by A in FIG. 10, the large-scale power storage unit 23 exceeds the power shortage amount of the second area 20 of the next day calculated by the power shortage prediction process B of the second area 20. (S111). Specifically, first, the power purchase unit 29 purchases electric power from the electric power company and reaches the power purchase peak value, or the remaining amount of power stored in the large-scale power storage unit 23 is the amount of power shortage in the second area 20 on the next day. Purchase power until it exceeds.

  When purchasing power until the power purchase peak value or the large-scale power storage unit 23 exceeds the power shortage amount of the second area 20 the next day (S111), has the large-scale charging unit exceeded the power shortage amount of the second area 20 the next day? It is determined whether or not (S112). If it is determined that the large-scale charging unit has exceeded the power shortage amount of the second area 20 on the next day (S112: YES), the process proceeds to daytime processing A (S106) on the next day. On the other hand, when it is determined that the large-scale charging unit does not exceed the power shortage amount of the second area 20 on the next day (S112: NO), the control unit 26 then causes the power generation facility 21 to generate power and the large-scale power storage unit. It charges until 23 exceeds the power shortage amount of the second area 20 on the next day (S113). Here, Step 111 to Step 113 are “predetermined economic rationality determination” in the present invention.

  As described above, after charging the large-scale power storage unit 23 until the power shortage amount of the second area 20 on the next day is exceeded, the process proceeds to the daytime process A on the next day (S106). The next daytime daytime process A is the process shown in FIG. When the daytime process A is executed on the next day, this routine is terminated, and the process is regularly started from the beginning, for example, every 30 minutes.

  On the other hand, if it is determined in step 109 that the next day's weather is equal to or higher than the predetermined solar radiation intensity (S109: NO), the current day is higher than the predetermined solar radiation intensity, and the next day is also higher than the predetermined solar radiation intensity. Prediction process A (S107) of power shortage in two areas 20 is performed, and daytime processing (S108) is performed the next day. The power shortage prediction process A (S107) of the second area 20 of the next day shown in FIG. 3 and the next day daytime process B (S108) shown in FIG.

  The predetermined economic rationality judgment is not limited to those described in steps 103 to 105, steps 111 to 113, and steps 308 to 310 described above. An economic rationality judgment as shown in FIG. 8 may be used instead of these processes. In the economic rationality determination of FIG. 8, first, the control unit 26 determines whether or not the power purchase unit price by the power purchase unit 29 for each time period is equal to or less than the unit price of power generation by the power generation facility 21 (S701). If it is determined that the power purchase unit price for each time zone is equal to or less than the power generation unit price (S701: YES), the power purchase unit 29 gives priority to power purchase up to a predetermined power purchase peak value (S702). That is, since it is cheaper to purchase power from the power company by the power purchase unit 29 than to generate power by the power generation facility 21, the power purchase by the power purchase unit 29 is given priority. Then, it is determined whether or not there is a further power shortage in the second area 20 (S703). If it is determined that there is a power shortage (S703: YES), power generation by the power generation facility 21 is further performed to compensate for the power shortage (S704). . On the other hand, if it is determined that there is no power shortage (S703: NO), the economic rationality determination process is terminated.

  On the other hand, returning to step 701, if it is determined that the unit price of power purchase for each time zone is higher than the unit price of power generation (S701: NO), priority is given to power generation by the power generation facility 21 (S705). That is, since the power generation by the power generation facility 21 is cheaper than the purchase of power from the power company, the power generation by the power generation facility 21 is given priority. Then, it is determined whether or not there is a further power shortage in the second area 20 (S706). If it is determined that there is a power shortage (S706: YES), the power purchase unit 29 further purchases power from the power company and runs out of power. (S707). On the other hand, if it is determined that there is no power shortage (S706: NO), the economic rationality determination process is terminated. This economic rationality judgment is repeated every time period.

  When the predetermined economic rationality judgment is made in this way, the unit price of power generation by the power generation facility 21 and the unit price of power purchase by the power purchase unit 29 within the range of the power purchase peak value that is less than or equal to the predetermined price are determined for each time zone. Therefore, the lower unit price is used for power storage in the power storage unit. Therefore, even in the case of a charge system in which the power purchase unit price is changed for each time zone, It is possible to economically and rationally select power purchase by the electric unit 29.

  As described above, the energy management system 1 of the present embodiment can store the large-scale power storage unit 23 until full charge without performing the process of predicting the amount of insufficient power, for example, when cloudy weather continues. Energy management can be performed in consideration of two consecutive days of weather without unnecessary burden on the system with unnecessary processing. Moreover, since the electrical storage to the large-scale electrical storage part 23 can supply electric power by the method selected based on predetermined economic rationality judgment among the electric power generation by the power generation equipment 21 or the electric power purchase by the electric power purchase part 29, Electric power can be stored more economically by suppressing the peak of power purchase.

  Then, when the weather forecast data for the next day is a weather with a predetermined solar radiation intensity or more, the predicted power interchange amount for the next day is predicted, the lack of power in the second area 20 on the next day is determined, and the power generation by the power generation facility 21 Among power purchases by the power purchase unit 29, power can be supplied and stored in the power storage unit by a method selected based on a predetermined economic rationality judgment, so that more accurate and economical considering the power interchange amount. Necessary electric power can be stored. Further, when the weather forecast data for the next day is less than the predetermined solar radiation intensity, there is no surplus power in the first area 10, so the power interchange amount is not predicted, and the power is consumed without unnecessary burden on the system due to unnecessary processing. It is possible to perform energy management considering flexibility.

  Needless to say, the embodiment of the present invention is not limited to the above-described embodiment, and can be appropriately changed without departing from the scope of the idea of the present invention.

  The energy management system 11 according to the present invention can be suitably applied as a system capable of accommodating power from a residential area to an office commercial area.

DESCRIPTION OF SYMBOLS 1 Energy management system 10 1st area 11 Housing 20 2nd area 21 Power generation equipment 22 2nd photovoltaic power generation part (solar power generation part)
23 Large-scale power storage unit (power storage unit)
24 Electricity consumption facilities

A first energy management system of the present invention includes a solar power generation unit, a power generation facility that generates power by consuming fuel, a power storage unit that stores power, a power purchase unit that purchases power from a system, A consumption facility, a data receiving unit that acquires weather forecast data, and a control unit that controls the discharging and charging of the power storage unit, and the day is weather with a predetermined solar radiation intensity or more, and the control unit acquires When the weather forecast data for the next day is less than or equal to a predetermined solar radiation intensity, the insufficient power amount for the next day predicted in advance is used to determine the predetermined economic rationality among power generation by the power generation facility and power purchase by the power purchase unit. The electric power is supplied by the method selected on the basis and stored in the power storage unit, and the weather is less than a predetermined solar radiation intensity on the day, and the weather forecast data for the next day acquired by the control unit is a predetermined solar radiation intensity or less. in the case of Of the power generation or power purchase by the power purchase unit by the power generation facility, and powered by a method selected on the basis of a predetermined economic rationality determination, a energy management system to the power storage until full charge to said power storage unit The control unit controls the amount of power interchange performed to the power consuming facility from an area having a plurality of houses, and the control unit acquires the next day's weather forecast data for a predetermined solar radiation intensity. In the case of the above weather, based on the information including the predicted value of the predicted power accommodation amount predicted in advance from the area having the plurality of houses and predicted for the next day, which is performed on the power consuming facility. The method selected based on a predetermined economic rationality judgment among the power generation by the power generation facility and the power purchase by the power purchase unit when the next day's power shortage is expected Ri power supplies are characterized in that the power storage to the energy storage unit.

In the first energy management system of the present invention, if the current day is a weather of a predetermined solar radiation intensity or more and the weather forecast data of the next day is a weather of a predetermined solar radiation intensity or less, an expected shortage of electric power for the next day Is stored in the power storage unit in advance, and if the weather is less than or equal to the predetermined solar radiation intensity on the day and the weather forecast data for the next day is less than or equal to the predetermined solar radiation intensity, Therefore, when the weather below the predetermined solar radiation intensity continues, for example, when cloudy weather continues, the power storage unit can be charged to full charge without performing the process of predicting the amount of insufficient power. Energy management can be performed in consideration of the weather on two consecutive days without placing an extra burden on the system. The power storage unit stores power in the power storage unit by supplying power by a method selected based on a predetermined economic rationality judgment among power generation by the power generation facility or power purchase by the power purchase unit. Therefore, even when the amount of power generated by the solar power generation unit is small, it can be stored in the power storage unit. Then, by combining the power generation by the power generation facility and the power purchase by the power purchase unit, it is possible to suppress the peak of the power purchase and perform more economical power storage.
In addition, the first energy management system controls the amount of power exchanged to the power consuming facility from an area having a plurality of houses, and the next day's weather forecast data is a weather with a predetermined solar radiation intensity or more. If the power consumption facility of the next day is predicted to be insufficient based on the information including the predicted value of the power interchange amount, the power generation facility and the purchase Among power purchases by the electricity department, power is supplied by the method selected based on a predetermined economic rationality judgment and stored in the electricity storage part.If the weather forecast data for the next day is less than a predetermined solar radiation intensity, Since there is no surplus of power in an area with multiple houses, the estimated power capacity for the next day is not predicted, and energy is taken into consideration without unnecessary burden on the system due to unnecessary processing. It is possible to perform the ghee management. Further, by combining the power generation by the power generation facility and the power purchase by the power purchase unit, it is possible to suppress the peak of the power purchase and perform more economical power storage.

Claims (5)

Solar power generation unit, power generation facility that consumes fuel to generate power, power storage unit that stores power, power purchase unit that purchases power from the system, power consumption facility, and data for obtaining weather forecast data An energy management system comprising: a receiving unit; and a control unit that controls discharging / charging of the power storage unit,
If the current day is weather with a predetermined solar radiation intensity or more and the weather forecast data for the next day acquired by the control unit is a weather with a predetermined solar radiation intensity or less, the power generation facility will calculate the amount of power shortage predicted for the next day in advance. Among power generation and power purchase by the power purchase unit, supply power by a method selected based on a predetermined economic rationality judgment and store in the power storage unit,
When the weather is below the predetermined solar radiation intensity on the day and the weather forecast data for the next day acquired by the control unit is below the predetermined solar radiation intensity, the power generation by the power generation facility or the power purchase by the power purchasing unit Among these, an energy management system characterized in that electric power is supplied by a method selected based on a predetermined economic rationality judgment and the power storage unit is charged until it is fully charged. The insufficient power amount predicted in advance is a value calculated by the control unit based on data including the predicted power generation amount of the photovoltaic power generation unit on the next day and the predicted power consumption amount of the power consumption facility on the next day,
The control unit calculates the predicted power generation amount of the photovoltaic power generation unit the next day based on data including the weather forecast data of the next day acquired by the control unit, seasonal data, and position data of the solar power generation unit,
The control unit calculates the predicted power consumption of the power consuming facility the next day based on data including calendar data having weather forecast data, season data, and holiday information for the next day acquired by the control unit. The energy management system according to claim 1. The predetermined economic rationality judgment is
The power storage unit stores power in the power storage unit by purchasing power in the power purchase unit within a range of a power purchase peak value that is equal to or lower than a predetermined price, and the power storage unit generates power by the power generation facility when the power purchase peak value is exceeded. The energy management system according to claim 1, wherein the energy management system is one that stores electricity in the battery. The predetermined economic rationality judgment is
The unit price of power generation by the power generation facility is compared with the unit price of power purchase by the power purchase unit within the range of the power purchase peak value where the power purchase unit price is less than or equal to a predetermined price. The energy management system according to claim 1, wherein the energy management system is used for power storage to the power storage unit with priority. The control unit controls the amount of power interchange performed from the area having a plurality of houses to the power consuming facility,
The control unit predicts a predicted power interchange amount for the next day performed from the area having the plurality of houses to the power consuming facility when the acquired weather forecast data for the next day is a weather with a predetermined solar radiation intensity or more. ,
Based on the information including the predicted value of the power accommodation amount predicted in advance, when the insufficient power amount of the next day is predicted, predetermined economic rationality among power generation by the power generation facility and power purchase by the power purchase unit The energy management system according to any one of claims 1 to 4, wherein electric power is supplied by a method selected based on the determination and stored in the power storage unit.

Images