Power distribution system and energy management method for power distribution system

Abstract

To provide a reception / distribution system in which regenerative power generated in a production facility is utilized to realize efficient energy operation.SOLUTION: A reception / distribution system 100 is formed of a commercial power supply facility 2, a solar power generation facility 3, a storage battery 4, and a production facility 5, and is equipped with an energy management system 1 that obtains data from the commercial power supply facility 2, the solar power generation facility 3, the storage battery 4, and the production facility 5, and controls the storage battery 4 and the production facility 5. When part of loads in the production facility 5 generates regenerative power, the energy management system 1 supplies the regenerative power to the remaining loads in the production facility 5, and then, if a surplus regenerative power is left, supplies the surplus regenerative power to the storage battery 4.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] This application relates to a power receiving and distribution system and an energy management method for the power receiving and distribution system.

Background Art

[0002] The power receiving and distribution system consists of a commercial power source, solar power generation, a storage battery as the power supply side, and load equipment as the power demand side. Among them, a management system with an energy management function predicts the solar power generation capacity and power demand based on weather forecasts and performs charge and discharge control to charge the surplus of solar power generation into the storage battery.

[0003] A battery system that connects multiple types of batteries via a switch and increases the charging charge during charging based on the DC resistance and open circuit voltage of the battery is disclosed.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] When there is a device that generates regenerative power such as a rotating machine as a load device on the power demand side, more efficient energy operation can be realized by effectively utilizing the regenerative power. However, in the conventional power receiving and distribution system, there is no mechanism to consider the regenerative power and perform charge and discharge control of the storage battery, and there is a problem that the regenerative power cannot be effectively utilized.

[0006] This application discloses a technology for solving the above problems, and aims to provide a power receiving and distribution system and an energy management method for the power receiving and distribution system that utilize regenerative power to achieve efficient energy operation. [Means for solving the problem]

[0007] The power distribution system disclosed herein comprises a commercial power supply facility, a solar power generation facility, a storage battery, and a production facility, and includes an energy management system that acquires data from the commercial power supply facility, the solar power generation facility, the storage battery, and the production facility, and controls the storage battery and the production facility, wherein the energy management system, when a portion of the load of the production facility generates regenerative power, supplies the regenerative power to the loads of the production facility other than the portion of the load, and if there is a surplus, charges the storage battery with this surplus regenerative power. can be, The aforementioned energy management system acquires weather forecast data from a higher-level system, The energy management system acquires production plan data for the production equipment and actual data on regenerative power generated by the production equipment. The energy management system predicts the power generation of the solar power generation facility based on the weather forecast data. The energy management system predicts the load on the production equipment and the amount of regenerative power generated by the production equipment based on the weather forecast data, the production plan data, and the actual regenerative power data. The energy management system creates an overall power supply plan from the power generation forecast, the load forecast, and the regenerative power forecast. The energy management system controls the supply of power to the production facilities, the charging and discharging of the storage batteries, and the purchase of electricity from the commercial power supply facilities, based on the comprehensive power supply plan. Furthermore, the power distribution system disclosed in this application comprises a commercial power supply facility, a solar power generation facility, a storage battery, and a production facility, and includes an energy management system that acquires data from the commercial power supply facility, the solar power generation facility, the storage battery, and the production facility, and controls the storage battery and the production facility. The energy management system, when a portion of the load of the production equipment generates regenerative power, supplies the regenerative power to the loads of the production equipment other than the portion of the load, and if there is a surplus, charges the battery with this surplus regenerative power. The aforementioned energy management system acquires weather forecast data from a higher-level system, The energy management system acquires production plan data for the production equipment and actual data on regenerative power generated by the production equipment. The energy management system predicts the power generation of the solar power generation facility based on the weather forecast data. The energy management system predicts the load on the production equipment and the amount of regenerative power generated by the production equipment based on the weather forecast data, the production plan data, and the actual regenerative power data. The energy management system, based on the power generation forecast, load forecast, and regenerative power forecast, creates an overall power supply plan that reduces the storage capacity of the battery at night if the power generation forecast exceeds the load forecast during the day and the surplus power exceeds the amount that can be charged to the battery. The energy management system controls the supply of power to the production facilities, the charging and discharging of the storage batteries, and the purchase of electricity from the commercial power supply facilities, based on the comprehensive power supply plan. The energy management method for a power distribution system disclosed herein comprises a commercial power supply facility, a solar power generation facility, a storage battery, and a production facility, and includes an energy management system that acquires data from the commercial power supply facility, the solar power generation facility, the storage battery, and the production facility, and controls the storage battery and the production facility. The energy management system includes a weather forecast data acquisition step in which it acquires weather forecast data from a higher-level system, A production plan and actual performance data acquisition step in which the energy management system acquires production plan data of the production equipment and actual performance data of the load and regenerative power in the production equipment from the upper-level system; A generated power prediction step in which the energy management system predicts the generated power of the solar power generation equipment based on the weather forecast data; A comprehensive load prediction step in which the energy management system performs a comprehensive load prediction of the production equipment based on the weather forecast data, the production plan of the production equipment, and the actual performance data of the load power; A regenerative power prediction step in which the energy management system predicts the regenerative power of the production equipment based on the production plan of the production equipment and the actual performance data of the regenerative power; A comprehensive power supply plan creation step in which the energy management system creates a comprehensive power supply plan based on the generated power prediction, the comprehensive load prediction, and the regenerative power prediction; A power management step in which the energy management system controls the power supply to the production equipment, the charge and discharge of the storage battery, and the power purchase from the commercial power supply equipment based on the comprehensive power supply plan.

Effect of the Invention

[0008] According to the power receiving and distributing system disclosed in the present application, a power receiving and distributing system that realizes efficient energy operation by utilizing regenerative power can be obtained. According to the energy management method of the power receiving and distributing system disclosed in the present application, an energy management method of a power receiving and distributing system that realizes efficient energy operation by utilizing regenerative power can be obtained.

Brief Description of the Drawings

[0009] [Figure 1] It is a system configuration diagram of the power receiving and distributing system according to Embodiment 1. [Figure 2] It is a data explanation diagram of the power receiving and distributing system according to Embodiment 1. [Figure 3] It is a sensor data explanation diagram of the power receiving and distributing system according to Embodiment 1. [Figure 4]It is an explanatory diagram of monitoring data of the power receiving and distribution system according to Embodiment 1. [Figure 5] It is an explanatory diagram of weather forecast data of the power receiving and distribution system according to Embodiment 1. [Figure 6] It is an explanatory diagram of prediction data of the power receiving and distribution system according to Embodiment 1. [Figure 7] It is an explanatory diagram of the power supply plan of the power receiving and distribution system according to Embodiment 1. [Figure 8] It is a flowchart of the power receiving and distribution system according to Embodiment 1. [Figure 9] It is a configuration diagram of the power supply bus of the power receiving and distribution system according to Embodiment 1. [Figure 10] It is a system configuration diagram of the power receiving and distribution system according to Embodiment 2. [Figure 11] It is an explanatory diagram of data of the power receiving and distribution system according to Embodiment 2. [Figure 12] It is an explanatory diagram of sensor data of the power receiving and distribution system according to Embodiment 2. [Figure 13] It is an explanatory diagram of monitoring data of the power receiving and distribution system according to Embodiment 2. [Figure 14] It is an explanatory diagram of weather forecast data of the power receiving and distribution system according to Embodiment 2. [Figure 15] It is an explanatory diagram of the production plan of the power receiving and distribution system according to Embodiment 2. [Figure 16] It is an explanatory diagram of the production results of the power receiving and distribution system according to Embodiment 2. [Figure 17] It is an explanatory diagram of prediction data of the power receiving and distribution system according to Embodiment 2. [Figure 18] It is an explanatory diagram of the comprehensive power supply plan of the power receiving and distribution system according to Embodiment 2. [Figure 19] It is a flowchart of the power receiving and distribution system according to Embodiment 2. [Figure 20] It is an example of the hardware configuration of the energy management system.

Modes for Carrying Out the Invention

[0010] Embodiment 1. Embodiment 1 comprises a commercial power supply facility, a solar power generation facility, a storage battery, and production facilities, and includes an energy management system. The energy management system acquires weather forecast data from a higher-level system, predicts the power generation of the solar power generation facility based on the weather forecast data, predicts the load of the production facilities based on the weather forecast data, season, and day of the week, creates a power supply plan from the power generation forecast and load forecast, controls the supply of power to the production facilities, the charging and discharging of the storage battery, and the purchase of power from the commercial power supply facility based on the power supply plan, and if some loads of the production facilities generate regenerative power, supplies the regenerative power to the loads other than the partial loads of the production facilities, and if there is a surplus, charges the storage battery with this surplus regenerative power. Furthermore, Embodiment 1 relates to an energy management method for a power distribution system, comprising a weather forecast data acquisition step, a power generation forecast step, a production equipment load forecast step, a power supply plan creation step, a power management step, and a regenerative power management step.

[0011] The power distribution system according to Embodiment 1 will be described below based on Figure 1, a system configuration diagram; Figure 2, a data explanation diagram; Figure 3, a sensor data explanation diagram; Figure 4, a monitoring data explanation diagram; Figure 5, a weather forecast data explanation diagram; Figure 6, a prediction data explanation diagram; Figure 7, a power supply plan explanation diagram; Figure 8, a processing flow diagram; and Figure 9, a power bus configuration diagram. In each figure, the same or corresponding parts are indicated by the same reference numeral.

[0012] First, the overall configuration of the power distribution system 100 of Embodiment 1 will be described based on Figure 1. The power distribution system 100 comprises, as its main components, an energy management system 1, supply-side equipment including commercial power supply equipment 2, solar power generation equipment 3, and storage batteries 4, and demand-side equipment including production equipment 5. Although the higher-level system 6 is not a component of the power distribution system 100, it is closely related functionally and will therefore be described without distinction. Furthermore, the energy management system will be referred to as EMS (energy management system) as appropriate. Although not shown in Figure 1, it is assumed that the battery 4 is equipped with a charge / discharge control device to control the charging and discharging of the built-in battery, and that the EMS1 acquires data such as the charge rate and charge / discharge current from the measurement and control unit 23 of the battery 4, which will be described next, and issues instructions to the battery 4 for charge / discharge control.

[0013] EMS1 comprises a calculation unit 11, a data storage unit 12, and a communication processing unit 13. The calculation unit 11 comprises a prediction unit 14 and a planning unit 15. The commercial power supply equipment 2 is equipped with a measurement and control unit 21, the solar power generation 3 with a measurement and control unit 22, the battery storage 4 with a measurement and control unit 23, and the production equipment 5 with a measurement and control unit 24. In addition, the higher-level system 6 is equipped with a weather forecast management unit 25.

[0014] Next, the data stored and used in the power distribution system 100 of Embodiment 1 will be explained based on Figure 2, which is a data explanatory diagram. The calculation unit 11 of EMS1 stores prediction data 32 and power supply plan 33. The data storage unit 12 stores monitoring information 31. The commercial power supply equipment 2 stores sensor data 41, the solar power generation 3 stores sensor data 42, the storage battery 4 stores sensor data 43, and the production equipment 5 stores sensor data 44. In addition, the higher-level system 6 stores weather forecast data 45. Note that in Figure 2, "prediction data" is written as "prediction" and "weather forecast data" is written as "weather forecast".

[0015] Next, the overall functions of the power distribution system 100, the functions of each component, and the relationship between the data they store will be explained based on Figures 1 and 2. The power distribution system 100 obtains information necessary for energy management performed by the EMS 1 from supply-side equipment such as commercial power supply equipment 2, solar power generation 3, and storage battery 4, as well as demand-side equipment such as production equipment 5 and the higher-level system 6, via the communication processing unit 13. While demand-side equipment is defined as production equipment, it is not limited to this; other equipment and devices may also be included. For example, if an amusement park is envisioned as the power distribution system 100, various amusement rides would correspond to demand-side equipment. Furthermore, if we consider a production plant as the power distribution system 100, there are loads whose power requirements are affected by temperature, such as boilers, and loads such as rotating machinery that normally require power supply but generate regenerative power depending on the operating conditions.

[0016] EMS1 acquires sensor data 41-44 from measurement and control units 21-24 installed in the commercial power supply equipment 2, solar power generation equipment 3, storage battery 4, and production equipment 5, respectively, via the communication processing unit 13, and stores it in the data storage unit 12 as monitoring information 31. Furthermore, EMS1 acquires weather forecast data 45 from the weather forecast management unit 25 of the higher-level system 6 via the communication processing unit 13 and stores it in the data storage unit 12 as monitoring information 31.

[0017] The prediction unit 14 of the calculation unit 11 predicts the amount of power generated by the solar power generation 3 and the load of the production equipment 5 based on the monitoring information 31 in the data storage unit 12, and stores the prediction data 32. The planning unit 15 of the calculation unit 11 creates a power supply plan 33 based on the prediction data 32 generated by the prediction unit 14. Based on the power supply plan 33 created by the planning department 15, the EMS1 supplies the electricity generated by the solar power generation 3 to each load of the production equipment 5, controls the discharge of the storage battery 4, and purchases electricity from the commercial power supply equipment 2 if necessary.

[0018] Next, the specific configuration of various data in EMS1 and the method for creating the forecast data 32 and power supply plan 33 will be explained based on Figures 3 to 7, with reference to Figures 1 and 2. Prediction data 32 is data predicting the amount of electricity generated by solar power generation 3 and the load on production equipment 5, based on weather forecast data 45. Note that the prediction of the load on production equipment 5 uses information other than weather forecasts, which will be explained in detail later.

[0019] In the power supply plan 33, based on the forecast data 32, the plan is to prioritize supplying the power generated by solar power generation 3 to the load of production facilities 5, and to charge the storage battery 4 if there is a surplus. If the power supplied to the load of production facilities 5 exceeds the amount of power generated by solar power generation 3 and there is a shortage, the plan is to purchase the deficit from commercial power supply facilities 2 and supply the remaining amount. Furthermore, if some loads in production equipment 5 generate regenerative power, it will be preferentially supplied to other loads in production equipment 5, similar to the power generated by solar power generation 3.

[0020] The sensor data 41-44 in Figure 3 consists of sensor ID (identification), target device, data type, acquisition date and time, and value. The monitoring information 31 in Figure 4 is data collected and stored by the EMS1 via the communication processing unit 13 from the sensor data 41-44 in Figure 3, and consists of the sensor ID, target device, data type, acquisition date and time, and value. The weather forecast data 45 in Figure 5 is data acquired by EMS1 via the communication processing unit 13, and consists of forecast values ​​for each 30-minute interval. Although data exists for times after 12:30, it has been omitted from the description. The same applies to Figures 6 and 7.

[0021] The forecast data 32 in Figure 6 is data predicted by the forecasting unit 14 of the EMS1 based on weather forecast data 45, etc., and consists of load forecast and solar power generation forecast. For example, at 10:00, the load of production equipment 5 is predicted to be 25 kWh, and the power generated by solar power generation 3 is predicted to be 20 kWh. The power supply plan 33 in Figure 7 was created by the planning unit 15 of the EMS1 based on forecast data 32, and consists of load forecast, solar power generation forecast, battery charge / discharge amount, and purchased electricity amount. For example, at 10:00, the load of production facility 5 is planned to be 25kWh, the power generated by solar power generation 3 is planned to be 20kWh, and the electricity purchased from commercial power supply facility 2 is planned to be 5kWh. Note that in Figures 6 and 7, "solar power generation" is written as "PV (photovoltaic)". Also, the charging and discharging of battery 4 are represented by positive values ​​for charging and negative values ​​for discharging.

[0022] Here, we will explain the load prediction for the production equipment 5 in Embodiment 1, including the differences from Embodiment 2. In Embodiment 2, load forecasting is performed considering the production plan of production equipment 5, whereas in Embodiment 1, the production plan of production equipment 5 is not considered. In a manufacturing plant, while production equipment such as assembly lines and processing machines are not in operation on holidays, heat supply equipment such as boilers still require a minimum power supply, including on holidays and at night. In Embodiment 1, the load forecast for the production equipment 5 on weekdays is assumed to be calculated by storing average load data with season, day of the week, and weather as parameters in the data storage unit 12 or forecasting unit 14 of the EMS1, and then using this data to forecast the load of the production equipment 5.

[0023] The energy management method in the power distribution system 100 will be explained based on the processing flow in Figure 8. The energy management method of the power distribution system consists of steps 01 (S01) to 08 (S08), and this process is started at a fixed cycle. Considering the power supply to the load of the production equipment 5 and the charge / discharge control of the storage battery 4, it is assumed that the process will be started at a 1-second cycle.

[0024] In the monitoring information acquisition step (S01), the EMS1 acquires sensor data 41-44 from the commercial power supply equipment 2, solar power generation equipment 3, storage battery 4, and production equipment 5, and stores this data in the data storage unit 12 as monitoring information 31.

[0025] In the prediction time determination step (S02), EMS1 determines whether it is time to predict the power generation of solar power generation 3 and the load of production equipment 5. If it is time to predict the load, the system proceeds to step 03 (S03); otherwise, it proceeds to step 08 (S08). It is assumed that the power generation prediction for solar power generation 3 and the load of production equipment 5 are performed every 30 minutes.

[0026] In the weather forecast data acquisition step (S03), EMS1 acquires weather forecast data 45 from the weather forecast management unit 25 of the higher-level system 6 and stores it in the data storage unit 12 as monitoring information 31.

[0027] In the power generation forecasting step (S04), EMS1 forecasts the power generation of solar power generation 3 based on the weather forecast data 45 acquired in step 03 (S03), and saves it as forecast data 32.

[0028] In the load prediction step (S05), EMS1 predicts the load on the production equipment 5 based on weather forecast data and pre-stored average load data with season, day of the week, and weather as parameters, and saves it as prediction data 32.

[0029] In the power supply plan creation step (S06), EMS1 creates a power supply plan based on the predicted power generation data of the solar power generation 3 and the predicted load data of the production equipment 5, and saves this plan to the power supply plan 33.

[0030] In the power management step (S07), the EMS1 supplies the necessary power to each load of the production equipment 5, controls the charging and discharging of the storage battery 4, and purchases power from the commercial power supply equipment 2 if necessary, based on the power supply plan 33 created in step 06 (S06). The charge and discharge control for the battery 4 is performed by the EMS1 acquiring data such as the charge rate and charge / discharge current from the battery 4's measurement and control unit 23, and issuing charge and discharge control instructions to the battery 4.

[0031] In the regenerative power management step (S08), if some loads of the production equipment 5 generate regenerative power, the EMS1 supplies this regenerative power to other loads of the production equipment 5, and if there is a surplus, it charges the storage battery 4.

[0032] The regenerative power management step (S08) specifically consists of the following steps 08A (S08A) through 08D (S08D). In the regenerative power generation determination step (S08A), the EMS1 determines whether a portion of the load of the production equipment 5 is generating regenerative power based on the sensor data 44 of the production equipment 5 stored in the data storage unit 12. If regenerative power is being generated, the process proceeds to the next step 08B (S08B); if no regenerative power is being generated, the process ends.

[0033] In the regenerative power load supply step (S08B), if EMS1 is generating regenerative power, it supplies the regenerative power of production equipment 5 to loads other than the load generating the power.

[0034] In the regenerative power surplus determination step (S08C), EMS1 determines whether there is a surplus of regenerative power even if it is supplied to other loads of the production equipment 5. If there is a surplus of regenerative power, the process proceeds to step 08D (S08D); otherwise, the process ends.

[0035] In the battery charging step (S08D), EMS1 charges the battery 4 with surplus regenerative power.

[0036] The main processes for energy management in power distribution systems are summarized and consist of the following steps. • Energy management system 1 acquires weather forecast data 45 from the higher-level system 6 (weather forecast data acquisition step) • Energy management system 1 performs a power generation forecasting step, which predicts the power generation of solar power generation 3 based on weather forecast data 45. • Energy management system 1 performs a load forecasting step for production equipment 5 based on weather forecast data 45, season, and day of the week. • Energy management system 1 creates a power supply plan based on power generation forecasts and load forecasts - Power supply planning step • Power management step in which the energy management system 1 controls the supply of power to the production equipment 5, the charging and discharging of the storage battery 4, and the purchase of electricity from the commercial power supply equipment 2 based on the power supply plan. The energy management system 1 performs a regenerative power management step in which, when a portion of the load of the production equipment 5 generates regenerative power, it supplies the regenerative power to loads other than the portion of the production equipment 5, and if there is a surplus, it charges the storage battery 4 with this surplus regenerative power.

[0037] Here, EMS1, commercial power supply equipment2, solar power generation3, storage battery4, and production equipment5 The power buses between these points will be explained based on the power bus configuration diagram in Figure 9. Commercial power supply facility 2 provides AC power. Solar power generation 3 and storage battery 4 primarily operate on DC power. Production facility 5 is assumed to have mostly AC power loads. The installation location of the AC / DC converter differs depending on whether the power busbar 50 in Figure 9 is an AC busbar or a DC busbar. If the power distribution system 100 mainly consists of commercial power supply equipment 2 and production equipment 5, the power busbar 50 is configured as an AC busbar, and an AC / DC converter is installed on the side of the solar power generation 3 and storage battery 4. If the power distribution system 100 primarily consists of solar power generation 3 and storage batteries 4, the power busbar 50 is configured as a DC busbar, and AC-DC converters are installed on the commercial power supply equipment 2 and production equipment 5 sides. If the power generated by solar power generation 3 can cover the load power of production equipment 5, and there is little power purchased from commercial power supply equipment 2, the loss of AC-DC conversion for the entire power distribution system 100 can be reduced by making the power busbar 50 a DC busbar.

[0038] In Embodiment 1, weather forecast data is acquired from the weather forecast management unit of the higher-level system 6. However, it is also possible to periodically acquire weather forecast data from an external source, store it in the data storage unit 12 of the EMS1, and use this weather forecast data.

[0039] As described above, the power distribution system and energy management method of Embodiment 1 can utilize regenerative power to achieve efficient energy operation.

[0040] Embodiment 2. The power distribution system and energy management method of the second embodiment predict the load and regenerative power of the production equipment based on the production plan of the production equipment and actual data on the load and regenerative power of the production equipment.

[0041] The power distribution system according to Embodiment 2 will be explained, focusing on the differences from Embodiment 1, based on Figure 10 (system configuration diagram), Figure 11 (data explanation diagram), Figure 12 (sensor data explanation diagram), Figure 13 (monitoring data explanation diagram), Figure 14 (weather forecast data explanation diagram), Figure 15 (production plan explanation diagram), Figure 16 (production results explanation diagram), Figure 17 (prediction data explanation diagram), Figure 18 (overall power supply plan explanation diagram), and Figure 19 (processing flow diagram). In the diagram of Embodiment 2, parts that are the same as or equivalent to those in Embodiment 1 are denoted by the same reference numerals. Note that, to distinguish it from the power distribution system 100 of Embodiment 1, it is referred to as power distribution system 200.

[0042] First, the overall configuration of the power distribution system 200 of Embodiment 2 will be described based on Figure 10. The power distribution system 200 comprises, as its main components, an energy management system 1, supply-side equipment including commercial power supply equipment 2, solar power generation equipment 3, and storage batteries 4, and demand-side equipment including production equipment 5.

[0043] EMS1 comprises a calculation unit 11, a data storage unit 12, and a communication processing unit 13. The calculation unit 11 comprises a prediction unit 14 and a planning unit 15. The commercial power supply equipment 2 is equipped with a measurement and control unit 21, the solar power generation 3 with a measurement and control unit 22, the battery storage 4 with a measurement and control unit 23, and the production equipment 5 with a measurement and control unit 24. The higher-level system 6 is equipped with a weather forecast management unit 25 and a production data management unit 26.

[0044] Next, the data stored and used in the power distribution system 200 of Embodiment 2 will be explained based on Figure 11, which is a data explanatory diagram. The calculation unit 11 of EMS1 stores prediction data 32 and the overall power supply plan 34. The data storage unit 12 stores monitoring information 31. The commercial power supply equipment 2 stores sensor data 41, the solar power generation equipment 3 stores sensor data 42, the storage battery 4 stores sensor data 43, and the production equipment 5 stores sensor data 44. In addition, the higher-level system 6 stores weather forecast data 45 and production plan / actual data. Note that in Figure 11, "Production Plan / Actual Data" is written as "Production Plan / Actual."

[0045] Next, the overall functions of the power distribution system 200, the functions of each component, and the relationship between the data they store will be explained based on Figures 10 and 11. The power distribution system 200 obtains information necessary for energy management performed by the EMS 1 from the supply-side equipment, namely the commercial power supply equipment 2, solar power generation equipment 3, and storage battery 4, as well as from the demand-side equipment, namely the production equipment 5 and the higher-level system 6, via the communication processing unit 13.

[0046] EMS1 acquires sensor data 41-44 from measurement and control units 21-24, respectively, installed in the commercial power supply equipment 2, solar power generation equipment 3, storage battery 4, and production equipment 5, via the communication processing unit 13, and stores it in the data storage unit 12 as monitoring information 31. Furthermore, EMS1 acquires weather forecast data 45 from the weather forecast management unit 25 of the higher-level system 6 and production plan / actual data 46 from the production data management unit 26 via the communication processing unit 13, and stores them in the data storage unit 12 as monitoring information 31.

[0047] The prediction unit 14 of the calculation unit 11 predicts the amount of power generated by the solar power generation 3, the total load of the production equipment 5, and the regenerative power based on the monitoring information 31 in the data storage unit 12, and stores this as prediction data 32. The planning unit 15 of the calculation unit 11 creates an overall power supply plan 34 based on the prediction data 32 generated by the prediction unit 14. If, based on the generation power prediction, overall load prediction, and regenerative power prediction, the generation power prediction exceeds the overall load prediction during the daytime, and the surplus power exceeds the amount that can be charged to the storage battery 4, then an overall power supply plan is created that reduces the storage capacity of the storage battery 4 during the nighttime. Based on the comprehensive power supply plan 34 created by the planning department 15, the EMS1 supplies the electricity generated by the solar power generation 3 to each load of the production equipment 5, controls the charging and discharging of the storage battery 4, and purchases electricity from the commercial power supply equipment 2 if necessary. In the description of Embodiment 2, the load forecast for production equipment 5 based on the production plan for production equipment 5 is referred to as the overall load forecast, and the power supply plan created by the planning unit 15 is referred to as the overall power supply plan 34, thus distinguishing it from Embodiment 1.

[0048] Next, the specific configuration of various data in EMS1 and the method for creating the forecast data 32 and the overall power supply plan 34 will be explained based on Figures 12 to 18, with reference to Figures 10 and 11. The forecast data 32 includes the amount of electricity generated by the solar power generation 3, which is predicted based on the weather forecast data 45, and the load and regenerative power of the production equipment 5, which are predicted based on the weather forecast data 45, the production plan and load, and the actual regenerative power data.

[0049] The comprehensive power supply plan 34, based on the forecast data 32, basically plans to prioritize supplying the power generated by solar power generation 3 to the load of production facilities 5, and to charge the storage battery 4 if there is a surplus. Furthermore, if the power supplied to the load of production facilities 5 exceeds the amount of power generated by solar power generation 3 and there is a shortage, the plan is to purchase the deficit from commercial power supply facilities 2 and supply the remaining amount. Furthermore, if regenerative power is generated in production equipment 5, it will be preferentially supplied to other loads of production equipment 5, similar to the power generated by solar power generation 3. Furthermore, based on the power generation forecast, overall load forecast, and regenerative power forecast, if the power generation forecast exceeds the overall load forecast during the daytime, and the surplus power exceeds the amount that can be charged to the battery 4, an overall power supply plan 34 is created to reduce the storage capacity of the battery 4 during the nighttime.

[0050] The sensor data 41-44 in Figure 12 consists of sensor ID, target device, data type, acquisition date and time, and value. The monitoring information 31 in Figure 13 is data collected and stored by the EMS1 via the communication processing unit 13 from the sensor data 41-44 in Figure 12, and consists of the sensor ID, target device, data type, acquisition date and time, and value. The weather forecast data 45 in Figure 14 is data acquired by EMS1 via the communication processing unit 13, and consists of forecast values ​​for each 30-minute interval. Figure 15 shows the production plan data obtained by EMS1 from the higher-level system 6, and consists of the production equipment number and the planned production quantity per day. In Figure 15, for example, production equipment A plans to produce 100 units on January 1, 2023. Figure 16 shows the actual load power and regenerative power data acquired by EMS1 from the higher-level system 6, and consists of the production equipment number, the planned production number (per day), and the actual regenerative power generation (every 30 minutes). In Figure 16, for example, it shows that when production equipment A produced 100 units on January 1, 2022, 5 kWh of regenerative power was generated every 30 minutes.

[0051] The forecast data 32 in Figure 17 is data predicted by the forecasting unit 14 of EMS1 based on weather forecast data 45, production plan, load performance, and regenerative power performance data, and consists of overall load forecast, solar power generation forecast, and regenerative power forecast. For example, at 10:00, the forecast is that the load of production equipment 5 is 25 kWh, the power generated by solar power generation 3 is 10 kWh, and the regenerative power generated by production equipment 5 is 5 kWh. The comprehensive power supply plan 34 in Figure 18 was created by the planning unit 15 of the EMS 1 based on forecast data 32, and consists of a comprehensive load forecast, solar power generation forecast, battery charge / discharge amount, purchased electricity amount, and regenerative power forecast. For example, at 10:00, the plan is for the load of production facility 5 to be 25kWh, the power generated by solar power generation 3 to be 10kWh, the discharge of battery 4 to be 5kWh, the electricity purchased from commercial power supply facility 2 to be 5kWh, and the regenerative power generated by production facility 5 to be 5kWh. Note that in Figure 18, "battery charge / discharge amount" is written as "battery," and the discharge of the battery is represented by a negative value.

[0052] Here, we will explain the load forecast based on the production plan for the production equipment 5 in Embodiment 2, and the forecast of regenerative power based on the production plan and actual production results. In Embodiment 2, the load forecast for the production equipment 5 on weekdays takes into account the season, day of the week, and weather, and is based on the production plan, load performance, and regenerative power performance to make an overall load forecast for the production equipment 5, as well as a forecast of the regenerative power generated by the production equipment 5. If there is a discrepancy between the planned production volume and the actual production volume from the past, the average load power and regenerative power per unit of production will be calculated from the past performance data, and the load power and regenerative power relative to the planned production volume will be predicted.

[0053] The energy management method in the power distribution system 200 will be explained based on the processing flow shown in Figure 19. The energy management method for the power distribution system consists of steps 21 (S21) to 29 (S29), and this process is initiated at regular intervals.

[0054] In the monitoring information acquisition step (S21), the EMS1 acquires sensor information from the commercial power supply equipment 2, solar power generation 3, storage battery 4, and production equipment 5, and stores this data in the data storage unit 12 as monitoring information 31.

[0055] In the prediction time determination step (S22), EMS1 determines whether it is time to predict the power generation of solar power generation 3 and the load and regenerative power of production equipment 5. If it is time to predict the load, the system proceeds to step 23 (S23); otherwise, it proceeds to step 29 (S29). It is assumed that the power generation prediction of solar power generation 3 and the overall load and regenerative power prediction of production equipment 5 are performed every 30 minutes.

[0056] In the weather forecast data acquisition step (S23), EMS1 acquires weather forecast data from the weather forecast management unit 25 of the higher-level system 6 and stores it in the data storage unit 12 as monitoring information 31.

[0057] In the production plan and actual data acquisition step (S24), EMS1 acquires production plan and actual data on load and regenerative power from the production data management unit 26 of the higher-level system 6, and stores it in the data storage unit 12 as monitoring information 31.

[0058] In the power generation forecasting step (S25), EMS1 forecasts the power generation of solar power generation 3 based on the weather forecast data acquired in step 23 (S23), and saves it as forecast data 32.

[0059] In the load prediction step (S26), EMS1 performs an overall load prediction for the production equipment 5 based on the weather forecast data acquired in step 23 (S23) and the production plan and actual load power data acquired in step 24 (S24), and saves it as prediction data 32.

[0060] In the regenerative power prediction step (S27), EMS1 predicts the regenerative power of production equipment 5 based on the production plan and actual regenerative power data acquired in step 24 (S24), and saves it as prediction data 32.

[0061] In the integrated power supply plan creation step (S28), EMS1 creates an integrated power supply plan based on the power generation forecast data of solar power generation 3 and the overall load forecast and regenerative power forecast data of production facilities 5, and saves this plan in the integrated power supply plan 34. Furthermore, based on the power generation forecast, overall load forecast, and regenerative power forecast, if the power generation forecast exceeds the overall load forecast during the daytime, and the surplus power exceeds the amount that can be charged to battery 4, an overall power supply plan will be created to reduce the storage capacity of battery 4 during the nighttime, and this plan will be saved in the overall power supply plan 34.

[0062] In the power management step (S29), the EMS1 supplies the necessary power to each load of the production equipment 5, controls the charging and discharging of the storage battery 4, and purchases power from the commercial power supply equipment 2 if necessary, based on the comprehensive power supply plan 34 created in step 28 (S28).

[0063] The main processes for energy management in power distribution systems are summarized and consist of the following steps. • Energy management system 1 acquires weather forecast data 45 from the higher-level system 6 (weather forecast data acquisition step) • Energy management system acquires production planning data and actual load and regenerative power data from the higher-level system. • Energy management system 1 performs a power generation forecasting step, which predicts the power generation of solar power generation 3 based on weather forecast data 45. • Energy management system 1 creates an integrated power supply plan based on power generation forecast, total load forecast, and regenerative power forecast. • Power management step in which the energy management system 1 controls the supply of power to production facilities, the charging and discharging of storage batteries, and the purchase of power from commercial power facilities based on the integrated power supply plan. Furthermore, in the step of creating the comprehensive power supply plan, if the daytime power generation forecast exceeds the load forecast based on the power generation forecast, comprehensive load forecast, and regenerative power forecast, and the surplus power exceeds the amount that can be charged to the storage battery, then a comprehensive power supply plan will be created that reduces the storage capacity of the storage battery at night.

[0064] In Embodiment 2, weather forecast data is acquired from the weather forecast management unit 25 of the higher-level system 6, and production plan and actual data on load and regenerative power are acquired from the production data management unit 26. However, it is also possible to configure the system to store the weather forecast data and the actual data on production plan and load and regenerative power in the data storage unit 12 of the EMS1 and use this data.

[0065] As described above, the power distribution system of Embodiment 2 predicts the load and regenerative power of production facilities based on production plans and actual data of load and regenerative power of the production facilities. Therefore, the power distribution system and energy management method of Embodiment 2 can achieve efficient energy operation by utilizing regenerative power.

[0066] The EMS1 in Embodiments 1 and 2 consists of a processor 300 and a storage device 301, as shown in Figure 20, as an example of the hardware. The storage device 301 includes a volatile storage device such as random access memory (not shown) and a non-volatile auxiliary storage device such as flash memory. Alternatively, a hard disk may be provided as an auxiliary storage device instead of flash memory. The processor 300 executes a program input from the storage device 301. In this case, the program is input to the processor 300 from the auxiliary storage device via a volatile storage device. The processor 300 may also output data such as calculation results to the volatile storage device of the storage device 301, or it may save the data to the auxiliary storage device via the volatile storage device.

[0067] Although this application describes various exemplary embodiments and examples, the various features, aspects, and functions described in one or more embodiments are not limited to the application of a particular embodiment, but can be applied individually or in various combinations to the embodiments. Accordingly, countless variations not illustrated are conceivable within the scope of the art disclosed herein. These include, for example, modifying, adding or omitting at least one component, or even extracting at least one component and combining it with components of other embodiments. [Explanation of symbols]

[0068] 1. Energy management system, 2. Commercial power supply equipment, 3. Solar power generation, 4. Storage batteries, 5 Production equipment, 6 Higher-level system, 11 Processing unit, 12 Data storage unit, 13 Communication processing unit, 14 Prediction unit, 15 Planning unit, 21, 22, 23, 24 Measurement and control unit, 25 Weather forecast management department, 26 Production Data Management Department, 31 Monitoring Information, 32 Forecast Data, 33 Power Supply Plan, 34. Comprehensive power supply plan, 41, 42, 43, 44. Sensor data, 45 Weather forecast data, 46 Production plan / actual data, 50 Power busbars, 100,200 power distribution systems, 300 processors, 301 memory devices.

Claims

1. In a power distribution system comprising commercial power supply equipment, solar power generation equipment, storage batteries, and production equipment, and equipped with an energy management system that acquires data from the commercial power supply equipment, the solar power generation equipment, the storage batteries, and the production equipment, and controls the storage batteries and the production equipment, The energy management system is a power receiving and distribution system that, when a portion of the load of the production equipment generates regenerative power, supplies the regenerative power to loads of the production equipment other than the portion of the load, and if there is a surplus, charges the battery with this surplus regenerative power. The aforementioned energy management system acquires weather forecast data from a higher-level system, The energy management system acquires production plan data for the production equipment and actual data on regenerative power generated by the production equipment. The energy management system predicts the power generation of the solar power generation facility based on the weather forecast data. The energy management system predicts the load on the production equipment and the amount of regenerative power generated by the production equipment based on the weather forecast data, the production plan data, and the actual regenerative power data. The energy management system creates an overall power supply plan from the power generation forecast, the load forecast, and the regenerative power forecast. The energy management system is a power receiving and distribution system that controls the supply of power to the production facilities, the charging and discharging of the storage batteries, and the purchase of electricity from the commercial power supply facilities, based on the comprehensive power supply plan.

2. In a power distribution system comprising commercial power supply equipment, solar power generation equipment, storage batteries, and production equipment, and equipped with an energy management system that acquires data from the commercial power supply equipment, the solar power generation equipment, the storage batteries, and the production equipment, and controls the storage batteries and the production equipment, The energy management system is a power receiving and distribution system that, when a portion of the load of the production equipment generates regenerative power, supplies the regenerative power to loads of the production equipment other than the portion of the load, and if there is a surplus, charges the battery with this surplus regenerative power. The aforementioned energy management system acquires weather forecast data from a higher-level system, The energy management system acquires production plan data for the production equipment and actual data on regenerative power generated by the production equipment. The energy management system predicts the power generation of the solar power generation facility based on the weather forecast data. The energy management system predicts the load on the production equipment and the amount of regenerative power generated by the production equipment based on the weather forecast data, the production plan data, and the actual regenerative power data. The energy management system, based on the power generation forecast, load forecast, and regenerative power forecast, creates an overall power supply plan that reduces the storage capacity of the battery at night if the power generation forecast exceeds the load forecast during the day and the surplus power exceeds the amount that can be charged to the battery. The energy management system is a power receiving and distribution system that controls the supply of power to the production facilities, the charging and discharging of the storage batteries, and the purchase of electricity from the commercial power supply facilities, based on the comprehensive power supply plan.

3. The power receiving and distribution system according to claim 1 or 2, wherein the power supply lines of the commercial power supply equipment, the solar power generation equipment, the storage battery, the production equipment, and the energy management system are configured with DC busbars.

4. In a power distribution system comprising commercial power supply equipment, solar power generation equipment, storage batteries, and production equipment, and equipped with an energy management system that acquires data from the commercial power supply equipment, the solar power generation equipment, the storage batteries, and the production equipment, and controls the storage batteries and the production equipment, The energy management system includes a weather forecast data acquisition step in which it acquires weather forecast data from a higher-level system, The energy management system includes a production planning and performance data acquisition step in which it acquires production planning data for the production equipment and actual data on load and regenerative power in the production equipment from the higher-level system. The energy management system performs a power generation prediction step, which predicts the power generation of the solar power generation facility based on the weather forecast data, The energy management system performs a comprehensive load forecasting step, which predicts the overall load of the production equipment based on the weather forecast data and the production plan and actual load power data of the production equipment. The energy management system includes a regenerative power prediction step that predicts the regenerative power of the production equipment based on the production plan and actual regenerative power data of the production equipment, The energy management system performs an integrated power supply plan creation step, which creates an integrated power supply plan based on the power generation forecast, the overall load forecast, and the regenerative power forecast. The energy management system performs a power management step in which it controls the supply of power to the production facilities, the charging and discharging of the storage battery, and the purchase of power from the commercial power supply facility based on the comprehensive power supply plan. An energy management method for a power distribution system equipped with the following features.

5. The energy management method for a power distribution system according to claim 4, wherein in the step of creating the comprehensive power supply plan, if the power generation forecast exceeds the comprehensive load forecast during the daytime and the surplus power exceeds the amount that can be charged to the battery, the comprehensive power supply plan is created to reduce the storage capacity of the battery during the nighttime.

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