JP5509004B2 - Power sale adjustment server and method - Google Patents

Description

The present invention relates to a technology for supplying renewable energy to a grid without applying a load to the grid.

  There is an increasing social need to use environmentally friendly power generation facilities (wind, solar, solar, geothermal, small hydro, etc.) to realize a society with less CO2 emissions. In networks, there is a limit to the reverse power flow that can be tolerated by conventional power distribution equipment. If renewable energy exceeding that limit flows into the grid, power quality can be degraded or a power failure can occur due to equipment failure.

  Renewable energy generation is unstable due to the weather, so in order to sell stable electricity, a storage battery is connected to a device that generates renewable energy, and the stored renewable energy is loaded on the grid. There is known a technique for selling power in a non-applicable time zone, that is, a time zone with a large amount of power demand (Patent Document 1). In Patent Document 1, in a solar power generation system that operates in conjunction with a commercial power system, a storage battery that stores output from a solar battery is juxtaposed to the solar power generation system, and the output of the solar battery or solar radiation intensity Providing a delay circuit that controls the output of the photovoltaic power generation system in proportion to the output from the meter and giving a predetermined delay, and outputs the output of the photovoltaic power generation system to the solar cell output or solar radiation intensity in the commercial power system A photovoltaic power generation output control system is disclosed that is superimposed with a predetermined time delay while being proportional.

JP-A-5-252671

  However, Patent Document 1 does not consider the number of photovoltaic power generations, and does not consider issues when the numbers are collected. Specifically, power supply to general consumers such as detached houses is usually supplied from a distribution network provided by an electric power company. Usually, low voltage transformers for converting from high voltage of 6600KV to low voltage of 200V / 100V are installed in the distribution network, and about a few to about a dozen general consumers use low voltage transformers. It is connected to. And when photovoltaic power generation is introduced into the customer side, such as a detached house, electricity will flow into a system through a low voltage line or a low voltage transformer by a solar power purchase system.

  However, the law stipulates that the voltage range of the distribution voltage should be within ± 6% of the specified voltage range, and multiple photovoltaic power generations connected to the same low-voltage transformer can be connected to the distribution system at once. When electricity is going to flow, power generation is controlled by a power conditioner connected to solar power generation. That is, when the power conditioner is watching the outlet voltage and the fluctuation range is likely to be exceeded, the operation of solar power generation is automatically stopped. As one of countermeasures, Patent Document 1 describes a method of shifting the time for consuming electric power by using a storage battery in a night time zone that is expected to be in high demand. However, Patent Document 1 does not consider the acceptance limit value of the transformer that fluctuates depending on the regional characteristics and time, so when photovoltaic power generation is concentrated and introduced into a residential area or the like, it can be obtained from a plurality of storage batteries. A peak may occur due to the concentration of the discharge time, and eventually the output may be suppressed by the power conditioner. Therefore, in order to purchase all the sunlight, the facility reinforcement for receiving the electricity flowing backward from the house, such as installing a storage battery in the facility on the electric power side, is performed twice.

  The object of the present invention is to solve the above-mentioned problems, and even if renewable energy is centrally introduced into the distribution network, the electricity flowing in the reverse direction is supplied to the system within a range of ± 6% that is the allowable value of voltage fluctuation. Provide technology that can be supplied.

In the present invention, power is supplied to the grid by the following configuration.
A solar power generation upper limit pattern DB indicating the maximum value of how much the solar power generator generates according to the type of weather is created in advance. Based on the power generation upper limit pattern DB and the weather conditions of the next day, a power generation amount prediction DB of the photovoltaic power generation apparatus is created in advance for each transformer. Next, it is judged whether the power generation amount predicted for each transformer exceeds the limit value of the transformer, and if it exceeds the limit value, the power selling time is shifted backward every predetermined time using a storage battery. , Set in the power sale scheduling DB. Here, when there are a plurality of power selling controllers, they are slid rearward so that the interval increases as the time is shifted. Slide this time until it falls below the limit of the transformer. Then, according to the created power sale scheduling DB, the energy stored in the storage battery is allowed to flow through the system.

  According to the present invention, even when a plurality of photovoltaic power generation units are connected to a specific transformer, the reverse power flow exceeding the acceptance limit value can be reduced. Thereby, the electric power generation amount of solar power generation can be utilized without waste.

1 is an overall schematic diagram in the present embodiment. The hardware block diagram of each apparatus. The data block diagram of customer connection information DB. The data block diagram of a transformer acceptance limit DB. The data block diagram of participant DB. The data block diagram of transformer code DB. The data block diagram of power generation upper limit pattern DB. The data block diagram of power generation rank DB. The data block diagram of applicable day electric power generation pattern DB. The data block diagram of electric power generation amount prediction DB. The data block diagram of transformer unit electric power generation amount DB. The data block diagram of power sale scheduling DB. The data block diagram of transformer unit electric power sales amount DB. The data block diagram of customer DB. The data block diagram of weather information DB. Overall processing flow diagram. Overall processing flowchart (continuation of FIG. 15). FIG. 4 is a detailed process flow diagram of step 2100. FIG. 14 is a detailed process flow diagram of step 2200. FIG. 20 is a detailed process flow diagram of step 2260. The detailed process flow figure of step 4000. FIG. The adjustment image figure of the amount of electricity sales using a power sale controller (storage battery). The network block diagram in the case of comprising the function of a regional supply and demand server with a plurality of servers. The data block diagram of solar radiation power generation pattern conversion DB.

  FIG. 1 shows a distribution network in a district where a plurality of residential solar power generation facilities are introduced as an overall schematic diagram in the present embodiment. There are multiple customer groups in one district. One consumer group is connected to one low-voltage transformer (transformer that converts a voltage of 6.6 kV to 100/200 V (post transformer or underground transformer: low-voltage transformer)). It shows a group in which each consumer is connected around a low-voltage transformer.

  The customer group in the E district shown in FIG. 1 is connected to the low voltage transformer R001. In this consumer group, there are consumers A, B, C, and D in which residential solar power generation facilities are installed, and consumers E and F that do not have solar power generation facilities. Consumers A and D having a solar power generation facility include a solar power generation facility and a power conditioner (PCS). The role of the power conditioner is to convert the direct current electricity generated by the photovoltaic power generation panel into alternating current. Consumers B and C are each provided with a power sale controller incorporating a PCS and a storage battery.

  FIG. 2 shows a hardware configuration diagram of each device for carrying out the present embodiment. As an example, it is assumed that the electric power company has the transformer limit value providing server 1 and the local supply and demand operator has the local supply and demand server 2.

  The local supply and demand server 2 is connected to the power selling controller 5 of the customer B, a transformer limit value providing server, a weather information server, and a communication network 3 (for example, a dedicated line, the Internet network, etc.). Since local supply and demand operators may be different in each region, multiple regional supply and demand servers installed in each regional supply and demand operator are each connected to the transformer limit value providing server via the communication network 3 May be. The consumer has a power selling controller 5 and a solar power generation panel 562. The power selling controller 5 includes a storage battery 570 and a power conditioner 580. The storage battery only needs to be controllable by the processing unit of the power sale controller, and may be one connected to the outside of the power sale controller.

  The transformer limit value providing server 1 includes a CPU 101, an I / F 102, a memory 103, a communication unit 104, and an I / O 105. The I / F 102 in this case is an input / output interface such as buttons, a display, and various keyboards. In order to transmit the transformer limit value of this embodiment to the local supply and demand server, the program 150 stored in the program database 160 such as a rewritable memory is read into the memory 103 and executed by the CPU 101 which is an arithmetic unit. Between the various processing units and the communication means 104, the I / O unit 105 executes data buffering and various mediation processes. The DB includes a customer connection information DB 180 and a transformer acceptance limit DB 181.

  FIG. 3 shows a specific example of the customer connection information DB 180. The customer connection information DB holds the customer name, address, and low voltage transformer code.

  FIG. 4 shows a specific example of the transformer acceptance limit DB 181. The transformer acceptance limit DB holds the low voltage transformer code, date, and transformer limit value.

  The power transmission / distribution management application 150 includes a transformer limit value provision processing unit 151, a customer information provision processing unit 152, and a communication processing unit 153. The transformer limit value providing processing unit 151 has a function of extracting a low voltage transformer code and transformer acceptance limit value information from the transformer acceptance limit DB 181 based on a request from the regional supply and demand server 2 and transmitting the information to the regional supply and demand server 2. is there. Based on the request from the local supply and demand server 2, the customer information provision processing unit 152 extracts information on the transformer that is the connection destination of the participant who has applied for participation in the regional supply and demand server 2 from the customer connection information DB 180. And a function to transmit to the regional supply and demand server 2. The communication processing unit 153 has a function of communicating with the local supply and demand server 2 in order to realize the function of the transformer limit value providing server 1 described above.

  Next, the configuration of the regional supply and demand server 2 will be described. The regional supply and demand server 2 includes a CPU 201, an I / F 202, a memory 203, a communication unit 204, and an I / O 205. In this case, the I / F 202 is an input / output interface such as buttons, a display, and various keyboards. In order to realize the function of executing this embodiment, a program 250 stored in a program database 270 such as a rewritable memory is read into the memory 203 and executed by the CPU 201 which is an arithmetic unit. Between the various processing units and the communication means 204, the I / O unit 205 executes data buffering and various mediation processes. As DB, participant DB280, transformer code DB281, power generation rank DB282, power generation upper limit pattern DB283, power generation amount prediction DB284, transformer unit power generation amount DB285, power sales scheduling DB286, transformer unit power sales amount DB287, power generation on the corresponding day A pattern DB 288 is provided.

  FIG. 5 shows a specific example of the participant DB 280. The participant DB holds a participant company number, a customer name, an address, a district code, a photovoltaic power generation number, a photovoltaic power generation model name, a photovoltaic power generation capacity, a power selling controller number, and a low voltage transformer code.

  FIG. 6 shows a specific example of the transformer code DB 281. The transformer code DB holds the low voltage transformer code and the transformer limit value. Although this transformer code DB 281 holds the transformer limit value of the corresponding day, it may have a DB structure that can hold a plurality of days, and a method of selecting a predetermined corresponding day in the local supply and demand server 2 may be adopted.

  FIG. 7 shows a specific example of the power generation upper limit pattern DB 283. The power generation upper limit pattern DB is each time slot for each power generation upper limit pattern (here, it is every hour from 4:00 to 20:00, but this time slot may be further widened, and the time interval is 30. The power generation amount predicted value for each hour with respect to the solar power generation capacity equivalent to 1 kW) is shown. In this case, the upper limit value of the daily power generation pattern that changes according to the time (season) and the weather is divided into the categories of “clear”, “cloudy”, and “rain” from January to December. For example, “P01S” indicates “sunny” in January, “P01C” indicates “cloudy” in January, “P01R” indicates “rainy” in January, and “P12S” similarly indicates “in December”. “Sunny” and “P12C” indicate “cloudy” in December, and “P12R” indicates “rainy” in December. The power generation upper limit pattern may be further classified by obtaining solar radiation amount information from a database of the Japan Meteorological Agency and classifying the power generation upper limit pattern based on the solar radiation amount information or dividing one year into 24.

  FIG. 8 shows a specific example of the power generation rank DB 282. The power generation rank DB holds a power generation level and a monthly power generation upper limit pattern.

  FIG. 9 shows a specific example of the corresponding day power generation pattern DB 288. The corresponding day power generation pattern DB indicates a power generation upper limit pattern for each hour.

  FIG. 10 shows a specific example of the power generation amount prediction DB 284. The power generation amount prediction DB holds a power generation amount prediction value for each time corresponding to the low voltage transformer code, the solar power generation No, and the solar power generation No. This time interval may be a short interval together with the time interval of the power generation upper limit pattern DB 283.

  FIG. 11 shows a specific example of the transformer unit power generation amount DB 285. The transformer unit power generation amount DB holds the total power generation amount of solar power generation in transformer units for each hour. In addition, you may make this time interval short with the time interval of power generation upper limit pattern DB283.

  FIG. 12 shows a specific example of the power sale scheduling DB 286. The power sale scheduling DB holds a scheduled power sale value for each hour corresponding to the low voltage transformer code, the photovoltaic power generation No, and the photovoltaic power generation No. This time interval may be a short interval together with the time interval of the power generation upper limit pattern DB 283.

  FIG. 13 shows a specific example of the transformer unit power sales DB 287. The transformer unit power sale amount DB holds the total power sale amount of solar power generation for each transformer for each hour. In addition, you may make this time interval short with the time interval of power generation upper limit pattern DB283.

  Among the regional supply and demand applications 250, a power generation upper limit pattern DB creation processing unit 251, a transformer code DB creation processing unit 252, a participant registration processing unit 253, a corresponding day power generation pattern selection processing unit 254, and a weather information reconfirmation processing unit 255. , A power generation amount prediction DB creation processing unit 256, a power sale scheduling processing unit 257, a customer DB creation instruction processing unit 258, a power generation rank reselection processing unit 259, and a communication processing unit 260.

  The power generation upper limit pattern DB creation processing unit 251 is a function that creates a power generation upper limit pattern DB for each district.

  The transformer code DB creation processing unit 252 obtains the low voltage transformer code and the transformer acceptance limit value information of the corresponding day (in this case, the next day) from the transformer limit value providing server 1, and creates the transformer code DB 281. It is.

  Participant registration processing unit 253 provides information (customer name, address, name of solar power generation model, solar cell capacity information) applied to by the person who wants to install solar power and sell power This is a function of registering in the DB 280 and receiving from the transformer limit value providing server 1 the low-voltage transformer code to which the participant is connected and registering it in the participant DB 280.

  The power generation pattern selection processing unit 254 on the day obtains the weather information of the corresponding day (in this case, the next day) from a system such as the Japan Meteorological Agency, selects the corresponding power generation upper limit pattern from the power generation rank DB according to the weather information, and generates power on the corresponding day This is a function for creating the pattern DB 288 (for example, “P01R” is selected if the corresponding time zone is rainy in January, “P01C” is selected if it is cloudy, and “P01S” is selected if it is clear).

  The weather information reconfirmation processing unit 255 is a function that determines whether or not weather information needs to be reacquired, and if necessary, obtains weather information after the corresponding time.

  The power generation amount prediction DB creation processing unit 256 obtains weather information from the Japan Meteorological Agency and selects the pattern No. of the power generation amount upper limit pattern DB 283 so that each participant's time zone (in this case, 60 minute units is more detailed). The power generation amount predicted value of the power generation amount prediction DB 284 and the total amount of photovoltaic power generation for each hour of the power generation amount prediction DB 284 are grouped (in this case, a group for each low-voltage transformer). It is a function to calculate and set in the transformer unit power generation amount DB.

  The power sale scheduling processing unit 257 determines whether or not the amount of power sold in each time zone of the transformer unit power generation amount DB is equal to or greater than the receiving limit value of the corresponding transformer with reference to the transformer code DB, and determines the limit value. In such a case, a function for performing a process of shifting the power sale time backward by a predetermined time (here, 60 minutes, which may be further reduced) and the result are set in the power sale scheduling DB 286. It is a function that calculates the total value of the function and the planned power sale amount for each transformer that is in the middle of the function, and sets it in the transformer unit power sale amount DB.

  The customer DB creation instruction processing unit 258 selects the power selling controller on the customer side in the order of DB using the district code of the participant DB as a key, obtains the power generation upper limit pattern from the corresponding day power generation pattern DB 288, and generates the power generation amount prediction DB 284. This is a function for obtaining the planned power generation amount, obtaining the planned power sale amount from the power sale scheduling DB 286, and transmitting data to each power sale controller.

  The power generation rank reselection processing unit 259 selects a power generation level having a larger power generation amount than the power generation level currently selected from the power generation rank DB, that is, a higher power generation level, and selects the corresponding pattern No. from the next time zone of the power generation upper limit pattern DB. This is a function for selecting and resetting to the power sale scheduling DB.

  The communication processing unit 260 is a function that realizes communication with the transformer limit value providing server 1, the power sale controller 5, and the weather information server 7 in order to realize the function of the regional supply and demand server 2 described above.

  Next, the configuration of the power sale controller 5 will be described. The power selling controller 5 of the customer B includes a storage battery 570 and a power conditioner 580, and is connected to the solar power generation panel 562. The role of the storage battery 570 is to systematically store and discharge the electricity generated by the solar power generation panel 562 based on the power sale plan information transmitted from the local supply and demand server 2, and sell the power to the distribution system. To do it. The power selling controller 5 includes a CPU 501, an I / F 502, a memory 503, a communication unit 504, and an I / O 505. The I / F 502 in this case is an input / output interface such as buttons, a display, and various keyboards. In order to realize the function of executing the power sale adjustment method of this embodiment, the program 550 stored in the program database 560 such as a rewritable memory is read into the memory 503 and executed by the CPU 501 which is an arithmetic unit. Between the various function units and the communication means 504, the I / O unit 505 performs data buffering and various mediation processes. The program 550 includes a customer DB creation processing unit 551, a storage / discharge plan formulation unit 552, a power sale execution processing unit 553, a storage battery control processing unit 554, a power generation amount monitoring processing unit 555, a power generation rank review processing unit 556, A communication processing unit 557 is provided. As the DB, a customer DB 590 is provided.

  FIG. 14 shows the customer DB 590. Here, the power generation upper limit pattern, the planned power generation amount, the planned power sale amount, the planned charge / discharge amount, the power generation record, the power sale record, and the charge / discharge record are held for each time. In addition, you may make this time interval short with the time interval of power generation upper limit pattern DB283.

  The customer DB creation processing unit 551 is a function for setting the power generation upper limit pattern, the power generation planned amount, and the power sale planned amount transmitted from the regional supply and demand server 2 in the customer DB 590.

  The storage / discharge plan formulation unit 552 is a function of calculating the planned power sale amount-the planned power generation amount of the customer DB 590 and setting the planned charge / discharge amount.

  The power sale execution processing unit 553 is a function for implementing power sale according to the value of the planned power sale amount in the customer DB 290.

  The storage battery control processing unit 554 is a function that controls the storage battery 570 in accordance with the planned charge / discharge amount of the customer DB 290. At this time, when the value of the estimated charge / discharge amount is positive, electricity is stored, and when it is negative, discharge is performed.

  The power generation amount monitoring processing unit 555 monitors the power generation amount of solar power generation, and if it exceeds the planned power generation amount of the customer DB, it confirms whether the power is being sold (discharged) from the storage battery in the power sale controller, If the power is being sold, the power sale is stopped until the next time zone. If not, the storage battery is driven until the next time zone.

  The power generation rank review processing unit 556 monitors the power generation amount of solar power generation by the function of the power generation amount monitoring processing unit 555, receives the result of determining that it exceeds the power generation planned amount of the customer DB, This is a function for transmitting to the regional supply and demand server 2 that reselection is necessary.

  The communication processing unit 557 is a function that realizes communication with the local supply and demand server 2 and the weather information server 7 using some communication means (Internet, dedicated line, etc.).

  Next, the configuration of the weather information server 7 will be described. The weather information server 7 includes a CPU 701, an I / F 702, a memory 703, a communication unit 704, and an I / O 705. The I / F 702 in this case is an input / output interface such as buttons, a display, and various keyboards. In order to realize the function of executing the power sale adjustment method of this embodiment, the program 750 stored in the program database 760 such as a rewritable memory is read into the memory 703 and executed by the CPU 701 which is an arithmetic unit. Between the various functional units and the communication unit 704, the I / O unit 705 executes data buffering and various mediation processes. The program 750 includes a weather information provision processing unit 751 and a communication processing unit 752. As the DB, a weather information DB 780 is provided.

  FIG. 15 shows the weather information DB 780. Here, weather and solar radiation amount information for each time zone is held.

    The weather information provision processing unit 751 has a function of transmitting information in the weather information DB to the local supply and demand server in accordance with an instruction from the regional supply and demand server 2.

  The communication processing unit 752 is a function that realizes communication with the local supply and demand server 2 and the power sale controller 7 using some communication means (Internet, dedicated line, etc.).

  Next, each processing flow in a present Example is demonstrated using FIGS.

  FIG. 16 shows a process until a power sale schedule is created. The power generation upper limit pattern DB creation processing unit 251 of the regional supply and demand server 2 creates the power generation upper limit pattern DB 283 in units of districts in advance (step 2010). Next, the transformer code DB creation processing unit 252 obtains the low voltage transformer code and the transformer acceptance limit value information from the transformer limit value providing server 1, and sets the transformer code DB after obtaining the information (step 2020). ). At this time, the transformer limit value providing processor of the transformer limit value providing server 1 transmits the low voltage transformer code and the transformer acceptance limit value information to the local supply and demand server 2 on the corresponding day (in this case, the next day) (step 1010). ). Next, the participant registration processing unit 253 of the regional supply and demand server 2 creates a participant DB by applying from the participant (step 2030). Next, the participant registration processing unit 253 transmits the customer name / address information of the participant DB to the transformer limit value providing server, and the customer information providing processing unit 152 of the transformer limit value providing server 1 The customer name / address in the connection information DB is matched with the same information in the participant DB, and the low-voltage transformer code is transmitted to the regional supply and demand server 2. The participant registration processing unit 253 of the regional supply and demand server 2 The low-voltage transformer cord is set to (Step 2040, 1020). Next, the corresponding daily power generation pattern selection processing unit 254 of the regional supply and demand server 2 obtains weather information (may be solar radiation amount information) from a database such as the Japan Meteorological Agency and creates a corresponding daily power generation pattern DB (step 2050). At this time, the weather information server transmits the next day's weather information (step 3010). Next, the district selection processing unit of the regional supply and demand server 2 refers to the district code of the participant DB and the power selling controller No., searches the district where the power selling controller No exists in the ascending order of the participant DB, and selects the target district. (Step 2060). Here, the following contents will be described as an example of selecting the E district.

  Next, the weather information reconfirmation processing unit 255 of the regional supply and demand server 2 determines whether or not there is information input from Step 3020. If “No”, the process proceeds to Step 2100. If “Yes”, the process proceeds to Step 2080. Perform forward processing. When the process proceeds to step 2080, the corresponding day power generation pattern selection processing unit 254 re-creates the corresponding day power generation pattern DB after the corresponding time, and then proceeds to step 2100.

  At this time, step 3020 is a step of transmitting to the regional supply and demand server 2 weather information (or solar radiation amount information) after the corresponding time of the day. Step 2100 is a step in which the power generation amount prediction DB creation processing unit 256 creates a power generation amount prediction DB and a transformer unit power generation amount DB (step 2100 will be described in detail with reference to FIG. 18). Step 2200 is a step in which the power sale scheduling DB creation processing unit creates a power sale scheduling DB and a transformer unit power sale amount DB (step 2200 will be described in detail in FIG. 19).

  FIG. 17 is a diagram for explaining the process of selling power using the power sale schedule created in FIG. In step 2300, the customer DB creation instruction processing unit 258 identifies a power selling controller using the district code of the participant DB as a key, and generates power from the power generation upper limit pattern and the participant DB for each hour of the corresponding day power generation pattern DB. This is a step of transmitting the scheduled power generation value for each hour in the power generation amount prediction DB and the scheduled power sale value for each time in the power sale scheduling DB to the power selling controller side of each consumer using the power generation No as a key. Step 2310 is a step in which the customer DB creation processing unit 551 of the power sale controller 5 sets the power generation pattern, the power generation planned value, and the power sale planned value received from the regional supply and demand system 2 in the customer DB of the power sale controller 5. It is. Step 4000 is a step in which the power sale execution processing unit 553 of the power sale controller 5 causes each customer's power sale controller to execute power sale according to the information in the customer DB (step 4000 is described in detail in FIG. 20). To explain).

  Next, detailed steps of step 2100 in FIG. 16 will be described with reference to FIG. The power generation amount prediction DB creation processing unit 256 first selects a target district (in this case, E district) from the corresponding day power generation pattern DB, and from the information of the participant DB, the low power transformer code, The photovoltaic power generation number No. and the predicted power generation amount for each time zone are calculated and set, and the flag “1” is set for the photovoltaic power generation number having a power sale controller (storage battery) (step 2110). Next, the DB is sorted with respect to the power generation amount prediction DB in units of low-voltage transformer codes (step 2120). Next, the low voltage transformer code at the beginning of the power generation prediction DB is selected (step 2125), the total value of the power generation prediction values for each time period is calculated for each low voltage transformer code, and set in the transformer unit power generation DB ( Step 2130).

  Next, when all the low voltage transformer codes are completed, the process proceeds to Step 2200, and if not, the process proceeds to Step 2015 (Step 2140). In step 2150, the next low voltage transformer code is selected, and the process proceeds to step 2130. These steps 2110 to 2150 are executed by the power generation amount prediction DB creation processing unit 256.

  The detailed steps of step 2200 in FIG. 16 will be described with reference to FIG. The power sale scheduling processing unit 257 first makes initial settings of “L” and “M”. At this time, a table is created and set (step 2210). Next, the power sale scheduling DB is sorted in ascending order of the planned power sale value (maximum value) of photovoltaic power generation in units of low-voltage transformer codes (step 2220). Next, the first low voltage transformer code of the power sale scheduling DB is selected (step 2230). The total value of the predicted power sales for each time zone is calculated for each low voltage transformer code unit, and set in the transformer unit power sales DB (step 2240). Next, when the transformer unit power generation amount DB is compared with the transformer limit value of the transformer code DB and exceeds the limit value (in the case of Yes), the process proceeds to Step 2260, and in the case of not exceeding (in the case of No) ) Proceeds to step 2270 (step 2250). Next, with respect to the power sale scheduling DB, the power sale time zone of the photovoltaic power generation in which the power sale controller is introduced is expanded backward by M minutes and set in the power sale scheduling DB, and the process proceeds to step 2265 (step 2260). The step 2260 will be described in more detail with reference to FIG. Next, in step 2265, the processing of “L = L + 1” is performed, and the process returns to step 2240. Step 2270 checks whether all low voltage transformer codes have been completed, and if yes, it proceeds to step 2300, and if no, it proceeds to step 2275 (step 2270). Step 2275 selects the next low voltage transformer code and proceeds to step 2240. These Step 2210 to Step 2275 are executed by the power sale scheduling processing unit 257.

  In step 2280, the power generation rank reselection processing unit 259 selects a power generation level that is larger than the power generation level currently selected from the power generation rank DB (the current power generation level is confirmed in the corresponding day power generation pattern DB), that is, a higher power generation level. Then, the corresponding pattern No. is selected from the next time zone of the power generation upper limit pattern DB, and the process of resetting to the power sale scheduling DB is performed. Regarding the selection of the power generation level, the power generation amount of the solar panel is monitored by the power selling controller 5 installed on the customer side in Step 4050, and the power generation amount is exceeded when the planned power generation amount initially planned is exceeded for a certain period of time. It may be possible to indicate which power generation upper limit pattern is to be selected. (For example, when “P01R” is selected as the power generation upper limit pattern, if the actual power generation amount is between “P01S” and “P01C”, select “P01S” again. The instruction to do may come from the power selling controller 5. The detailed steps of step 2260 will be described with reference to Fig. 20. The power selling scheduling processing unit 257 starts with the initial "N". At this time, a table is created and set (step 2261) Next, among the photovoltaic power generation Nos of the same low-voltage transformer code in the power sale scheduling DB, the head having the flag “1” A solar power No. is selected (step 2262), and a time slide is performed backward by M × (L × N) for the power sales time of the selected solar power generation No. Next, if there is a photovoltaic power generation No where the flag of the corresponding low voltage transformer code is “1”, the process proceeds to Step 2265. If not, the process proceeds to Step 2270. These Steps 2261. To Step 2266 are executed by the power sale scheduling processing unit 257.

  The detailed steps of step 4000 will be described with reference to FIG. The power storage and discharge plan formulation unit 552 of the power sale controller 5 subtracts the planned power sale amount from the scheduled power generation amount of each time zone of the customer DB, and sets the planned charge / discharge amount of the customer DB (step 4000). Next, the power sale execution processing unit 553 of the power sale controller 5 starts power sale according to the planned power sale amount of the customer DB (step 4040). At this time, the storage battery control processing unit 554 of the power sale controller 5 executes charge / discharge control according to the value of the charge / discharge scheduled amount in the customer DB 590.

  Next, the power generation amount monitoring processing unit 555 of the power sale controller 5 monitors the power generation amount of the solar power generation panel connected to the power sale controller 5, and the power generation amount exceeds the planned power generation amount of the customer DB ( If step 4050 is Yes), the process proceeds to step 4110. When that is not right (when step 4050 is No), the process which progresses to 4060 is performed (step 4050). Since this process may be temporarily clear depending on the time of day such as “cloudy” day, a fixed time is determined as a method of comparing the actual power generation amount with the planned power generation amount (for example, before and after a predetermined time). For example, the average value of the measured power generation amount may exceed the scheduled power generation amount for a predetermined time. In step 4110, the power generation amount monitoring processing unit 555 confirms whether or not the power is being sold from the storage battery in the power sale controller 5, and if the power is being sold (if step 4110 is Yes), the process proceeds to step 4120. Otherwise (if step 4110 is No), the process proceeds to step 4125 to perform processing. In step 4120, the power generation amount monitoring processing unit 555 performs a process of stopping the power sale from the power storage unit of the power sale controller 5 until the next time zone. In step 4125, the power generation amount monitoring processing unit 555 performs a process of operating the storage battery of the power sale controller 5 and storing the power until the next time zone. Step 4130 is a step in which the power generation rank review processing unit 556 communicates to the local supply and demand system that it is necessary to reselect the power generation pattern No.

  In step 4060, the power generation rank review processing unit 556 of the power sale controller 5 monitors the power generation amount of the photovoltaic power generation panel connected to the power sale controller 5, and the power generation amount is stored in the power generation rank DB 592 and the power generation upper limit pattern DB 594. If the power generation upper limit pattern of the customer DB corresponds to the power generation amount of the lower rank, the process proceeds to step 3020 (when step 4060 is Yes). If not (No in Step 4060), the process proceeds to Step 4070 (Step 4060). In addition, instead of directly communicating with the weather information server 7 when proceeding to step 3020, an instruction may be issued from the regional supply and demand server 2 regarding the processing of step 3020 via the regional supply and demand server 2. This step 4060 may be omitted if it is desired to limit the function of the power sale controller 5.

  Next, step 4070 is processing in which the power sale execution processing unit 553 of the power sale controller 5 executes power sale according to the customer DB. Next, step 4080 is a process of selling a certain amount of the remaining electricity when the power sale execution processing unit 553 of the power sale controller 5 remains in the power storage unit after the end of the power sale time of the customer DB. .

  FIG. 22 shows an image of adjusting the amount of sold power using the power selling controller (storage battery) in the present embodiment. The upper row shows a power sale image when there is no power sale controller. When the photovoltaic power generation of consumers A to D simultaneously sells power, the acceptance limit value is reached and power generation is stopped. The lower row shows the image of selling power when there is a power selling controller. Customers B and C have a power selling controller, and by shifting the power selling time in this example, the total power sold (solid line) of each customer after adjustment is the acceptance limit of the casting transformer Below the ground. Thereby, it has shown that the electric power of all the solar power generation to consumers AD can be sold.

  FIG. 23 shows an example in which the regional supply and demand server 2 is divided into a regional supply and demand overall management server and a district unit server. When the number of power selling controllers and districts in this embodiment increase, it is possible to divide the server as shown in this figure and execute the processing for each district in parallel. By dividing the regional supply and demand management server and the district unit server in this way, the processing performed in each district (for example, changing the power generation upper limit pattern) is distributed to the district unit servers, thereby speeding up the overall processing. Can be executed with

  FIG. 24 shows the solar radiation amount power generation pattern conversion DB utilized when the solar radiation amount information is obtained from the weather information server 7 and converted to the power generation pattern of the corresponding day. The solar power generation pattern conversion DB is created in advance in the regional supply and demand server 2 in units of districts (for example, created between step 2010 and step 2020), and the solar radiation amount information obtained from the weather information server 7 is obtained for each time zone. In comparison with the solar radiation power generation pattern conversion DB, it is determined where the solar radiation is classified. When the amount of solar radiation at 5:00 in January is 8.0 (kJ / m ^ 2), it is between “P01S maximum” and “P01S minimum”, so the E district of the corresponding power generation pattern DB288 Set “P01S” at 5:00. In this way, a method of determining the power generation upper limit pattern for the corresponding day using quantitative solar radiation data may be employed.

1: Transformer limit value providing server, 2: Regional supply and demand operator is a local supply and demand server, 3: Communication network, 5: Electricity sales controller, 7: Weather information server, 150: Power transmission / distribution management application, 250: Local supply and demand application 550: Power sale application, 562: Solar power generation panel, 750: Weather information application.

Claims (8)

A power sale management server connected to a power sale controller that controls a power generator and a storage battery that stores power generated by the power generator, and determines a timing for selling power generated by the power generator,
A storage unit for storing a limit value indicating a voltage allowable amount of a transformer to which a plurality of generators are connected, and an expected power generation amount indicating an amount of power generated by the plurality of generators at a predetermined time;
When the amount of power generated by the plurality of generators at the predetermined time is added up as the amount of power sold, it is determined whether the combined value at the predetermined time exceeds the limit value, and the determination exceeds the limit value The power sale time is shifted by a predetermined time by storing the electric power generated by any one of the generators in the storage battery, and the power sale amounts in the plurality of generators after the change are added together. A power sale schedule creation section for creating a schedule;
A transmission unit for transmitting the created power sale schedule to the power sale controller;
A power sale management server comprising: In the power sale management server according to claim 1,
It further includes an acquisition unit for acquiring weather information,
The predicted power generation amount indicating the amount of power generated by the plurality of generators at a predetermined time is set to a different value for each type of weather, and the power sale schedule creation unit includes the weather information acquired by the acquisition unit. A power sale management server, wherein a different value is selected for each weather type based on the above. In the power sale management server according to claim 2 ,
The power acquisition management server, wherein the acquisition unit acquires the weather information when a difference between a power generation amount generated by the generator and the predicted power generation amount exceeds a predetermined amount. In the power sale management server according to any one of claims 2 and 3 ,
The weather information is an amount of solar radiation, and the storage unit includes a table in which the amount of solar radiation and a different value for each type of weather are associated with each time, and the power sale schedule creation unit includes the table The power sale management server is characterized in that a different value is selected for each type of weather based on the above. A power sale management method for determining when to sell power generated by a generator,
A limit value indicating a voltage allowable amount of a transformer to which a plurality of the generators are connected and an expected power generation amount indicating an amount of power generated by the plurality of generators at a predetermined time are stored in a storage unit in advance.
Summing the amount of power generated by the plurality of generators at the predetermined time as the amount of power sold;
Determining whether the combined value at the predetermined time exceeds the limit value;
When the limit value is exceeded by the determination, a time for selling one of the generators is shifted by a predetermined time, and a power sale schedule is obtained by adding up the amount of power sold in the plurality of generators after the change again. A step to create,
Transmitting the created power sale schedule to the power sale controller;
A power sale management method comprising: In the power sale management method according to claim 5 ,
The predicted power generation amount indicating the amount of power generated by the plurality of generators at a predetermined time is set to a different value for each type of weather,
Obtaining the weather information;
The power sale management method further comprising the step of selecting a different value for each type of weather based on the acquired weather information. In the power sale management method according to claim 6 ,
Determining whether the difference between the power generation amount generated by the generator and the predicted power generation amount exceeds a predetermined amount;
A power sale management method comprising: obtaining the weather information when it is determined that the difference between the power generation amount generated by the generator and the predicted power generation amount exceeds a predetermined amount by the determination. In the power sale management method according to any one of claims 6 and 7,
The weather information is a solar radiation amount, and the storage unit includes a table in which the solar radiation amount and a different value for each type of weather are associated with each time,
The step of creating the power sale schedule selects a different value for each type of weather based on the table.

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