Methods for operating a regional microgrid, operating equipment for a regional microgrid, and operating programs for a regional microgrid.

Abstract

To solve the problem regarding a small-scale area micro grid which is easily influenced by variation in demand for electric power, the variation in demand including reactive power, in order to eliminate a possibility that facility stop occurs when an overcurrent accompanying apparent power exceeds the capacity of power supply facilities.SOLUTION: According to a first aspect of the present invention, there is provided an operation method for an area micro grid capable of supplying electric power independently. The area micro grid comprises specific load facilities where a large current flows during a startup. The area micro grid comprises storage battery facilities to be used for operation in emergency. The operation method for the area micro grid includes controlling charging and discharging of a storage battery in the storage battery facilities. The operation method for the area micro grid controls the charging and discharging of the storage battery adaptively to variations in demand for and supply of electric power in a specific time taking a time for which the large current flows during the startup of the specific load facilities into consideration.SELECTED DRAWING: Figure 4

Description

Technical Field

[0001] The present invention relates to an operation method of a regional microgrid, an operation device of a regional microgrid, and an operation program of a regional microgrid.

Background Art

[0002] A large-scale and centralized power infrastructure has the vulnerability that when a power outage occurs over a wide area due to, for example, the shutdown of a power plant due to an earthquake or the damage of a power transmission and distribution line by a flying object due to strong winds of a typhoon, etc. On the other hand, as a measure to enhance resilience, the construction of a distributed energy system that comprehensively utilizes renewable energy and unused heat existing in a region on a certain scale is said to be effective in various aspects. The country is implementing measures to promote the construction of a distributed energy system.

[0003] For example, a regional microgrid is one form of a distributed energy system. A regional microgrid is an energy system that grasps the power flow of the lower system during normal times and can supply power independently during a large-scale power outage due to a disaster or the like. A regional microgrid is composed of a renewable energy power generation facility, a battery facility, an EMS (Energy Management System), etc.

[0004] EMS is a device that performs control to maintain the power supply-demand balance in a regional microgrid. EMS controls a renewable energy power generation facility and a battery facility according to a specific objective function set so as to maintain the supply-demand balance for one day (see, for example, Patent Documents 1 to Patent Documents 3).

[0005] The technology described in Patent Document 1 relates to a power generation system configured to supply power to a load independently of the commercial power grid by linking a power generation device to a rotary prime mover and connecting a load to the power output line from the power generation device. The technology described in Patent Document 1 can avoid engine stalls of the rotary prime mover and adverse effects on the operation of the load side due to a decrease in the frequency or voltage of the power generation device, and is a technology that allows for the rotary prime mover and power generation device to be made small and inexpensive.

[0006] The technology described in Patent Document 2 relates to a power distribution system equipped with multiple power stabilization devices having different charge / discharge characteristics, and is designed to prevent interference between power stabilization devices and enable stable power stabilization control. The technology described in Patent Document 2 is suitable for the characteristics of electric double-layer capacitors, enabling high-speed charging and discharging in a short time, and is suitable for the characteristics of lead-acid batteries, enabling charging and discharging to start up over a long period of time.

[0007] The technology described in Patent Document 3 relates to a microgrid supply and demand control device and a microgrid supply and demand control method. The technology described in Patent Document 3 is a microgrid supply and demand control technology that can improve the frequency stability of microgrids in areas with limited power supply, such as remote islands. [Prior art documents] [Patent Documents]

[0008] [Patent Document 1] Japanese Patent Application Publication No. 7-274595 [Patent Document 2] International Publication No. 2009 / 136641 [Patent Document 3] Japanese Patent Publication No. 2011-114900 [Overview of the project] [Problems that the invention aims to solve]

[0009] The technologies described in Patent Documents 1 to 3 are technologies for detecting various information of the power system and passively controlling power supply equipment, including storage batteries. However, Patent Documents 1 to 3 do not mention identifying the controllable equipment capacity or ensuring that controllable equipment capacity. In other words, the technologies described in Patent Documents 1 to 3 assume that the capacity of the power supply equipment is sufficiently secured. In that case, the power supply equipment would include storage battery equipment that is subject to charge and discharge control.

[0010] Small-scale local microgrids are susceptible to fluctuations in electricity demand, and if these fluctuations include reactive power and the resulting overcurrent exceeds the capacity of the power supply equipment, it could lead to equipment shutdown. [Means for solving the problem]

[0011] This invention one status Mr. / Ms. , Renewable energy power generation facilities with fluctuating output, A specific load that draws a large current at startup Preparation, and Battery storage system for use in emergency operations Prepare Preparation This is a method for operating regional microgrids. . The operation method of a regional microgrid includes identifying the fluctuation in demand for demand equipment, including specific load equipment, during a specific time period that anticipates the time when a large current flows when a specific load equipment is started up. The operation method of a regional microgrid also includes identifying the fluctuation in supply from renewable energy power generation equipment during a specific time period. The operation method of a regional microgrid includes controlling the charging and discharging of batteries in a battery storage facility. Based on the relationship between the maximum possible demand quantity assuming fluctuations in demand and the minimum possible supply quantity assuming fluctuations in supply, It controls the charging and discharging of the battery.

[0012] This invention one status Mr. / Ms. , Renewable energy power generation facilities with fluctuating output, A specific load that draws a large current at startup Preparation, and Battery storage system for use in emergency operations Prepare Preparation It is an operating device for a regional microgrid. . The regional microgrid operating device includes a demand fluctuation determination unit that determines the amount of demand fluctuation of demand equipment, including specific load equipment, during a specific time period that anticipates the time when a large current flows when a specific load equipment is started up. The regional microgrid operating device also includes a supply fluctuation determination unit that determines the amount of supply fluctuation of renewable energy power generation equipment during a specific time period. The operating equipment for the regional microgrid includes a charge / discharge control unit that controls the charging and discharging of batteries in the battery storage facility. The charge / discharge control unit is Based on the relationship between the maximum possible demand quantity given the demand fluctuation quantity identified by the demand fluctuation quantity identification unit and the minimum possible supply quantity given the supply fluctuation quantity identified by the supply fluctuation quantity identification unit, It controls the charging and discharging of the battery.

[0013] This invention one status Mr. / Ms. , Renewable energy power generation facilities with fluctuating output, A specific load that draws a large current at startup Preparation, andBattery facility used for emergency operation Prepare equipment This is a regional microgrid operation program that enables computers to function as operating devices for the regional microgrid. . The regional microgrid operation program causes the computer to function as a demand fluctuation identification unit, which identifies the amount of demand fluctuation for demand equipment, including a specific load equipment, during a specific time period that anticipates the time when a large current flows when that load equipment is started up. The regional microgrid operation program also causes the computer to function as a supply fluctuation identification unit, which identifies the amount of supply fluctuation for renewable energy power generation equipment during a specific time period. The operation program of the regional microgrid causes a computer to function as a charge / discharge control unit that controls the charge and discharge of the battery in the battery facility. The charge / discharge control unit Based on the relationship between the maximum possible demand quantity given the demand fluctuation quantity identified by the demand fluctuation quantity identification unit and the minimum possible supply quantity given the supply fluctuation quantity identified by the supply fluctuation quantity identification unit, controls the charge and discharge of the battery.

Brief Description of the Drawings

[0014] [Figure 1] It is a diagram showing the regional microgrid 100 according to this embodiment. [Figure 2] It is a diagram showing the EMS 130 according to this embodiment. [Figure 3] It is a diagram showing the design process of the regional microgrid 100 according to this embodiment. [Figure 4] It is a diagram showing the operation process of the regional microgrid 100 according to this embodiment. [Figure 5] It is a diagram showing the relationship between the maximum demand and the minimum supply amount according to this embodiment, and the charge / discharge control amount of the battery. [Figure 6] It is a diagram showing the relationship between the maximum demand and the minimum supply amount according to this embodiment, and the charge / discharge control amount of the battery. [Figure 7] It is a diagram showing the relationship between the maximum demand and the minimum supply amount according to this embodiment, and the charge / discharge control amount of the battery. [Figure 8] It is a diagram showing the relationship between the maximum demand and the minimum supply amount according to this embodiment, and the charge / discharge control amount of the battery.

Modes for Carrying Out the Invention

[0015] Hereinafter, the present invention will be described through embodiments of the invention. However, the following embodiments do not limit the invention according to the claims. Also, not all combinations of features described in the embodiments are essential for the solution means of the invention.

[0016] Figure 1 shows a regional microgrid 100 according to this embodiment. The regional microgrid 100 is an energy system that can monitor the power flow of the lower grid during normal times and independently supply electricity during large-scale power outages caused by disasters, etc.

[0017] This embodiment is intended for businesses considering the introduction of a regional microgrid 100, and businesses considering participating in the construction of a regional microgrid 100. Businesses considering the introduction of a regional microgrid 100 include, for example, local governments, power companies, and energy management companies.

[0018] The regional microgrid 100 is equipped with solar power generation facilities 110, battery storage facilities 120, and an EMS 130 (Energy Management System).

[0019] The solar power generation equipment 110 is a power generation facility that directly converts solar energy into electrical energy. The solar power generation equipment 110 is connected to grid line SL1 of the regional microgrid 100. The solar power generation equipment 110 outputs the generated electricity to grid line SL1 according to the control of the EMS 130. The solar power generation equipment 110 is an example of a renewable energy power generation facility.

[0020] The battery storage system 120 is equipment used for supply and demand adjustment. The battery storage system 120 is equipped with a battery. The battery storage system 120 is connected to the grid line SL1. The battery storage system 120 charges and discharges the battery according to the control of the EMS 130.

[0021] EMS130 is a control device that visualizes and controls power consumption in a regional microgrid 100. EMS130 is connected to the solar power generation equipment 110, the battery storage equipment 120, and the first to eighth measuring instruments MD1 to MD8. The first measuring instrument MD1 measures the amount of power output from the solar power generation equipment 110. The second measuring instrument MD2 measures the amount of power charged to the battery storage equipment 120 and the amount of power discharged from the battery storage equipment 120. The third measuring instrument MD3 measures the amount of power input to the first induction motor IM1. The fourth measuring instrument MD4 measures the amount of power input to the second induction motor IM2. The fifth measuring instrument MD5 measures the amount of power input to the transformer PT1. The sixth measuring instrument MD6 measures the amount of power input to the third induction motor IM3. The seventh measuring instrument MD7 measures the amount of power input to the resistive load RL1. The eighth measuring instrument MD8 is a device that measures the amount of electrical energy input from power system PS1, which is different from the regional microgrid 100. The EMS 130 receives data indicating the amount of electrical energy measured by the first measuring instrument MD1 to the eighth measuring instrument MD8. The EMS 130 controls the charging and discharging of the batteries in the battery storage facility 120 according to the measurement values ​​from the first measuring instrument MD1 and the measurement values ​​from the third measuring instrument MD3 to the seventh measuring instrument MD7. The first induction motor IM1, the second induction motor IM2, and the third induction motor IM3 are AC motors. The transformer PT1 is a power device that converts the height of the AC voltage using electromagnetic induction. The resistive load RL1 is an ideal load in which the rated current flows from the moment the current is applied. The first induction motor IM1, the second induction motor IM2, the third induction motor IM3, and the transformer PT1 are examples of specific load equipment in which a large current flows at startup. The large currents that flow when the first induction motor IM1, the second induction motor IM2, and the third induction motor IM3 are started currents. The large currents that flow when the transformer PT1 is started are inrush currents. EMS130 may be connected to the first induction motor IM1, the second induction motor IM2, and the third induction motor IM3 in communication. EMS130 is an example of a design and operation device.

[0022] Figure 2 shows an EMS130 according to this embodiment. The EMS130 includes a storage device 131, a central processing unit 132, an input device 133, an output device 134, and a communication device 135.

[0023] The memory device 131 is a device for storing and remembering data and programs. The memory device 131 stores the design program CM1, the operation program CM2, and the prediction model PM1. The design program CM1 is a program that makes the EMS 130 function as a design device for the regional microgrid 100. The operation program CM2 is a program that makes the EMS 130 function as an operation device for the regional microgrid 100. The prediction model PM1 is a set of data necessary for supply and demand planning, generated by supervised machine learning that learns the relationship between first data and second data, which have been measured in the past and are highly correlated with each other, as training data. The prediction model PM1 is generated using, for example, a known machine learning algorithm. A known machine learning algorithm is, for example, a neural network. The first data is, for example, the startup timing of the first induction motor IM1, the second induction motor IM2, the third induction motor IM3, and the transformer PT1, and the amount of electricity demand, which have been measured in the past. In that case, the second data, which is highly correlated, is, for example, the activity status of users of the regional microgrid 100. Another example of primary data is, for instance, the amount of electricity supplied in the past. In that case, a secondary data with a strong correlation would be, for example, weather data.

[0024] The central processing unit 132 is a device that controls the storage device 131, input device 133, output device 134, and communication device 135, and performs data calculations, etc. By reading the design program CM1, the central processing unit 132 functions as the equipment capacity determination unit SM1. The equipment capacity determination unit SM1 is a software module that determines the equipment capacity required for the battery storage facility 120. By reading the operation program CM2, the central processing unit 132 functions as the demand fluctuation amount identification unit SM2, the supply fluctuation amount identification unit SM3, the charge / discharge control unit SM4, the supply control unit SM5, and the demand control unit SM6. The demand fluctuation amount identification unit SM2 is a software module that identifies the demand fluctuation amount ΔLp measured at a specific time. The supply fluctuation amount identification unit SM3 is a software module that identifies the supply fluctuation amount ΔGpv measured at a specific time. The charge / discharge control unit SM4 is a software module that controls the charging and discharging of the batteries in the battery storage facility 120. The supply control unit SM5 is a software module that controls the supply amount in the regional microgrid 100. The demand control unit SM6 is a software module that controls the amount of demand in the regional microgrid 100.

[0025] The input device 133 is a device for providing data, information, instructions, etc., to the EMS 130.

[0026] The output device 134 is a device that receives data from the storage device 131 and physically presents it to the outside in a form that can be recognized by humans.

[0027] The communication device 135 is a device for connecting the EMS 130 to a communication network.

[0028] Figure 3 shows the design process for the regional microgrid 100 according to this embodiment. The operator executes the design process for the regional microgrid 100 using, for example, the EMS 130. The following explanation will use the design process for the regional microgrid 100 using the EMS 130 as an example, with the aim of introducing or constructing the regional microgrid 100 shown in Figure 1.

[0029] The EMS130 acquires information about the load equipment (S101). In S101, the EMS130 acquires information about the load equipment, such as the rated capacity of the load equipment and information that can identify whether it is a specific load equipment that draws a large current at startup. Information about the load equipment is input, for example, via the input device 133. Information about the load equipment is received, for example, via the communication device 135. In this example, the EMS130 acquires information that can identify the rated capacity of the first induction motor IM1, the second induction motor IM2, the third induction motor IM3, the transformer PT1, and the resistive load RL1. In this example, it is assumed that the rated capacity of the first induction motor IM1, the second induction motor IM2, the third induction motor IM3, and the resistive load RL1 is 10 kW each. In this example, it is assumed that the rated capacity of the transformer PT1 is 20 kW.

[0030] Next, the EMS130 determines whether there is any specific load equipment that draws a large current during startup (S102). In S102, the EMS130 determines whether there is any specific load equipment that draws a large current during startup by referring to the information obtained in S101, for example. In this example, the EMS130 determines that there is a specific load equipment that draws a large current during startup because the load equipment includes the first induction motor IM1, the second induction motor IM2, the third induction motor IM3, and the transformer PT1.

[0031] If there are no specific load devices that draw a large current at startup in S102 (S102; NO), the EMS130 determines the required capacity of the battery storage device 120 (S103) and terminates the design process shown in Figure 3. In S103, the EMS130 determines the required capacity of the battery storage device 120 by considering, for example, the rated capacity of all load devices. For example, if there are 5 load devices with a rated capacity of 10 kW each, the EMS130 determines the required capacity of the battery storage device 120 to be 5 (units) × 10 (kW) = 50 (kW).

[0032] In S102, if there is a specific load equipment through which a large current flows at startup (S102; YES), the EMS130 identifies the specific load equipment with the largest value of the large current flowing at startup (S104). In S104, the EMS130, for example, by referring to the information obtained in S101, identifies the specific load equipment with the largest rated capacity among the specific load equipment through which a large current flows at startup as the single specific load equipment. If the rated capacity of all specific load equipment is the same, the EMS130 identifies one of the specific load equipment as the single specific load equipment. In this example, the EMS130 identifies the transformer PT1, which has the largest rated capacity among the first induction motor IM1, the second induction motor IM2, the third induction motor IM3, and the transformer PT1, as the single specific load equipment.

[0033] Next, the EMS 130 determines the required capacity of the battery storage equipment 120 by anticipating the large current that flows when a specific load equipment is started up (S105), and then completes the design process shown in Figure 3.

[0034] Here, the current flowing when a specific load equipment starts up can reach several times to more than ten times its rated current. When a large current flows when a specific load equipment starts up, the equipment capacity temporarily reaches several times to more than ten times its rated equipment capacity. The time during which a large current flows during startup varies depending on the type of specific load equipment, but it is about 1 to 2 seconds. For example, if there is a demand of 100 kW consisting of two specific load equipment units, each drawing a large current eight times its rated current, the required equipment capacity for the battery storage system 120 will be 800 kVA, not 100 kVA. However, if the two specific load equipment units do not start up simultaneously during the time when the large currents flow during startup overlap, the required equipment capacity for the battery storage system 120 will be half, or 400 kVA. It is extremely rare for multiple specific load equipment units to start up simultaneously during the time when the large currents flow during startup overlap. If we assume a maximum power demand of 100 kW and prepare 120 battery storage units with a capacity of 800 kVA each, this could result in excessive capital investment.

[0035] In S105, the EMS130 determines the required capacity of the battery storage system 120 by considering, for example, the capacity when a large current flows during the startup of a specific load equipment identified in S104. More specifically, the EMS130 determines the required capacity of the battery storage system 120 by considering the capacity when a large current flows during the startup of a specific load equipment and the rated capacity of the other load equipment. In this example, the EMS130 considers a power value eight times the rated capacity of the specific load equipment as the capacity when a large current flows during the startup of the specific load equipment. For example, the capacity when an inrush current flows during the startup of transformer PT1 is 20 (kW) × 8 (times) = 160 (kVA). As mentioned above, the rated capacity of the other load equipment, namely the first induction motor IM1, the second induction motor IM2, the third induction motor IM3, and the resistive load RL1, is 10 (kW). In that case, EMS130 determines the required capacity for the battery storage system 120 as 160 (kVA) + 4 (units) × 10 (kW) = 200 (kVA).

[0036] The operator only needs to install a battery storage system 120 having the capacity determined by the design process shown in Figure 3 in the regional microgrid 100. If there is no specific load equipment that draws a large current during startup, the operator only needs to install a battery storage system 120 having the capacity determined in S103. If there is specific load equipment that draws a large current during startup, the operator only needs to install a battery storage system 120 having the capacity determined in S105.

[0037] Figure 4 is a diagram showing the operation process of the regional microgrid 100 according to this embodiment. The following explanation will use the operation process of the regional microgrid 100 by the EMS 130, which is intended for the operation of the regional microgrid 100 shown in Figure 1, as an example. The regional microgrid 100 may be equipped with a battery storage facility 120 having the capacity determined by the design process shown in Figure 3.

[0038] EMS130 repeatedly executes the process shown in Figure 4 on a second-by-second basis when a specific condition is met. The specific condition is, for example, a large-scale power outage caused by a disaster, which disrupts the power supply from the power grid PS1 to the regional microgrid 100.

[0039] First, the EMS130 identifies the supply fluctuation ΔGpv (S201). In S201, the EMS130 identifies the supply fluctuation ΔGpv as, for example, the difference between the maximum and minimum values ​​of the supply measured at a specific time. The specific time is the time that anticipates the time when a large current flows when a specific load equipment is started up. The specific time can be any time before the current time. For example, the specific time can be the time immediately before the current time. For example, the specific time can be a predetermined time before the current time. For example, the specific time can be a time close to the current time on a previous day. For example, the specific time can be a time close to the current time on the same day of the week last week. For example, the specific time can be a time close to the current time on the same day last month. For example, the specific time can be a past time when the activity status was similar to the current activity status of the users of the regional microgrid 100. For example, the specific time can be a past time when the weather data is similar to the current weather data.

[0040] If the time during which a large current flows when a specific load equipment starts up is about 1 second, the specific time can be, for example, about 2 seconds. If the time during which a large current flows when a specific load equipment starts up is about 2 seconds, the specific time can be, for example, about 3 seconds. If there is a specific load equipment where a large current flows for about 1 second during startup and another specific load equipment where a large current flows for about 2 seconds during startup, the specific time can be, for example, about 3 seconds, taking into account the longer time during which a large current flows during startup.

[0041] In this example, the EMS130 identifies the supply fluctuation ΔGpv measured at a specific time by the first measuring instrument MD1. The supply fluctuation ΔGpv can be calculated using equation (1). MAX(Gpv((t-2)~t)) is the maximum measured value of the supply amount during the time from (t-2) seconds to t seconds, i.e., 2 seconds. MIN(Gpv((t-2)~t)) is the minimum measured value of the supply amount during the time from (t-2) seconds to t seconds, i.e., 2 seconds.

[0042]

number

[0043] Furthermore, the EMS130 identifies the demand fluctuation amount ΔLp (S202). In S202, the EMS130 identifies the demand fluctuation amount ΔLp as, for example, the difference between the maximum and minimum values ​​of the demand measured at a specific time.

[0044] In this example, EMS130 identifies the demand fluctuation amount ΔLp measured at a specific time using the third measuring instrument MD3 to the seventh measuring instrument MD7. The demand fluctuation amount ΔLp can be calculated using equation (2). MAX(Lp((t-2)~t)) is the maximum measured value of the demand during the time from (t-2) seconds to t seconds, i.e., 2 seconds. MIN(Lp((t-2)~t)) is the minimum measured value of the demand during the time from (t-2) seconds to t seconds, i.e., 2 seconds. Power companies express the demand fluctuation amount ΔLp as a value between 5% and 10% of the maximum power demand, based on empirical rules. Therefore, the larger of the measured value of the demand and the fluctuation amount based on empirical rules is adopted for the demand fluctuation amount ΔLp.

[0045]

number

[0046] Next, the EMS130 determines whether the minimum supply is greater than the maximum demand (S203). Here, the minimum supply is the smallest possible value of the supply when considering the supply fluctuation ΔGpv measured at a specific time. The minimum supply can be calculated, for example, as Gpv-ΔGpv, which is obtained by subtracting the supply fluctuation ΔGpv from the power generation capacity Gpv. The maximum demand is the largest possible value of the demand when considering the demand fluctuation ΔLp measured at a specific time. The maximum demand can be calculated, for example, as Lp+ΔLp, which is obtained by adding the planned demand value Lp and the demand fluctuation ΔLp.

[0047] In S203, if the minimum supply amount at a specific time is greater than the maximum demand amount (S203; YES), the EMS130 determines whether the battery can be charged (S204). In S204, the EMS130 determines that the battery can be charged if, for example, charging the battery with the amount of power obtained by subtracting the maximum demand amount (Lp + ΔLp) from the minimum supply amount (Gpv - ΔGpv) does not result in overcharging.

[0048] If the battery can be charged in S204 (S204; YES), the EMS130 controls the system to charge the battery (S205) and terminates the operation process shown in Figure 4.

[0049] If the battery cannot be charged in S204 (S204; NO), the EMS 130 controls the supply to be reduced in the regional microgrid 100 (S206) and terminates the operation process shown in Figure 4. In this example, the EMS 130 controls the output of the solar power generation equipment 110 to be reduced.

[0050] In S203, if the minimum supply amount at a specific time is less than the maximum demand amount (S203; NO), the EMS130 determines whether the battery can be discharged (S207). In S207, the EMS130 determines that the battery can be discharged if, for example, discharging the amount of power obtained by subtracting the minimum supply amount (Gpv - ΔGpv) from the maximum demand amount (Lp + ΔLp) from the battery does not result in over-discharge.

[0051] If the battery can be discharged in S207 (S207; YES), the EMS130 controls the battery to discharge (S208) and terminates the operation process shown in Figure 4.

[0052] If the battery is not dischargeable in S207 (S207; NO), the EMS130 controls the demand in the regional microgrid 100 to reduce it (S209) and terminates the operation process shown in Figure 4. In this example, the EMS130 controls the demand from the first induction motor IM1, the second induction motor IM2, and the third induction motor IM3 to reduce it. In this case, the EMS130 communicates with the first induction motor IM1, the second induction motor IM2, and the third induction motor IM3.

[0053] Figures 5 to 8 show the relationship between the maximum demand and minimum supply amounts and the charge / discharge control amounts of the storage battery according to this embodiment.

[0054] In the example shown in Figure 5, according to the supply and demand plan, the planned demand value Lp is smaller than the power generation capacity Gpv. Therefore, the battery should have been charged to the planned charge value Lbt. However, when considering the supply fluctuation ΔGpv and demand fluctuation ΔLp measured at a specific time, the minimum supply (Gpv - ΔGpv) is larger than the maximum demand (Lp + ΔLp), but the difference with the demand is smaller compared to the supply and demand plan. Therefore, the EMS130 controls the battery to charge, even though the amount of charge will be less than the planned charge value Lbt in the supply and demand plan.

[0055] In the example shown in Figures 6 and 7, according to the supply and demand plan, the planned demand value Lp is smaller than the power generation capacity Gpv. Therefore, the battery should have been charged to the planned charge value Lbt. However, considering the supply fluctuation ΔGpv and demand fluctuation ΔLp measured at a specific time, the minimum supply (Gpv - ΔGpv) is smaller than the maximum demand (Lp + ΔLp). Therefore, the EMS130 will discharge the battery contrary to the supply and demand plan, so it determines whether the battery can be discharged, and if so, controls the battery to discharge. If the battery cannot be discharged, the EMS130 controls the battery to suppress the demand.

[0056] In the example shown in Figure 8, according to the supply and demand plan, the planned demand value Lp is greater than the power generation capacity Gpv. Therefore, the battery should have been discharged to the planned discharge value Gbt. However, considering the supply fluctuation ΔGpv and demand fluctuation ΔLp measured at a specific time, the minimum supply (Gpv - ΔGpv) is smaller than the maximum demand (Lp + ΔLp), and the difference between the actual demand and the supply and demand plan is large. Therefore, the EMS130 determines whether the battery can be discharged because the discharge amount will be greater than the supply and demand plan, and if it can be discharged, it controls the battery to discharge. If the battery cannot be discharged, the EMS130 controls the battery to suppress the demand.

[0057] As described above, the regional microgrid 100 in the above embodiment is equipped with specific load equipment that draws a large current during startup. The regional microgrid 100 is equipped with a battery storage system 120 for use in emergency situations. The operation method of the regional microgrid 100 includes controlling the charging and discharging of the battery in the battery storage system 120. The operation method of the regional microgrid 100 controls the charging and discharging of the battery so as to respond to fluctuations in the amount of electricity demand and supply during a specific time period that takes into account the time during which a large current flows when the specific load equipment is started up.

[0058] The operation method of the regional microgrid 100 includes identifying the demand fluctuation ΔLp measured at a specific time. The operation method of the regional microgrid 100 also includes identifying the supply fluctuation ΔGpv measured at a specific time.

[0059] The operation method for the regional microgrid 100 involves controlling the system to charge the battery when the measured demand at a specific time is less than the supply.

[0060] The operation method of the regional microgrid 100 includes controlling the supply amount. The operation method of the regional microgrid 100 controls the supply amount to suppress it if charging the storage battery could result in overcharging.

[0061] The operation method for the regional microgrid 100 involves controlling the battery to discharge when the measured demand at a specific time exceeds the supply.

[0062] The operation method of the regional microgrid 100 includes controlling demand. The operation method of the regional microgrid 100 controls demand to suppress it if discharging the storage battery could result in over-discharge.

[0063] The operating device for the regional microgrid 100 in the above embodiment includes a charge / discharge control unit SM4 that controls the charging and discharging of the batteries in the battery storage facility 120. The charge / discharge control unit SM4 controls the charging and discharging of the batteries in order to respond to fluctuations in the amount of electricity demand and supply during a specific time period that anticipates the time when a large current flows when a specific load equipment is started up.

[0064] In the above embodiment, the operation program CM2 is a program that causes the computer to function as an EMS 130. The operation program CM2 causes the computer to function as a charge / discharge control unit SM4 that controls the charging and discharging of the battery in the battery storage equipment 120. The charge / discharge control unit SM4 controls the charging and discharging of the battery in order to respond to fluctuations in the amount of power demand and supply during a specific time period that anticipates the time when a large current flows when a specific load equipment is started up.

[0065] Regional microgrids 100 can maintain a constant supply-demand balance even during emergencies such as large-scale power outages caused by disasters, even when using power generation equipment with fluctuating output, such as renewable energy generators. Ultimately, this makes it possible to shift from a supply-demand balance that relies on diesel generators to one that embodies carbon neutrality.

[0066] The regional microgrid 100 can effectively utilize the battery storage equipment 120, which has the capacity determined by the method in the above embodiment, during times other than the peak power demand period. For example, during times other than the peak power demand period, the regional microgrid 100 can be used for virtual power generation, buying and selling electricity in the electricity market, and supplying adjustment capacity to the adjustment capacity market, which can contribute to the stable operation of the entire power grid.

[0067] Although the present invention has been described above using embodiments, the technical scope of the present invention is not limited to the scope described in the above embodiments. It will be apparent to those skilled in the art that various modifications or improvements can be made to the above embodiments. It will be clear from the claims that such modified or improved forms may also be included in the technical scope of the present invention.

[0068] The regional microgrid 100 in the above embodiment includes a photovoltaic power generation facility 110. The power generation facility may be any renewable energy power generation facility, and is not limited to a photovoltaic power generation facility 110. The regional microgrid 100 may include, for example, a wind power generation facility. The regional microgrid 100 may include, for example, a biomass power generation facility. The regional microgrid 100 may include, for example, a hydroelectric power generation facility. The regional microgrid 100 may include, for example, a geothermal power generation facility. The regional microgrid 100 may include, for example, a solar thermal power generation facility. The regional microgrid 100 may include, for example, a snow and ice thermal power generation facility. The regional microgrid 100 may include, for example, a temperature difference heat power generation facility. The regional microgrid 100 may include, for example, a geothermal power generation facility.

[0069] In the above embodiment, the EMS130 functions as a design device for the regional microgrid 100. The EMS130 only needs to function as an operating device for the regional microgrid 100 and does not need to function as a design device for the regional microgrid 100. The design device for the regional microgrid 100 may be a different device from the EMS130.

[0070] In the above embodiment, the EMS 130 controls the supply amount in the regional microgrid 100 to suppress the battery if it is likely to become overcharged. Alternatively, if the battery is likely to become overcharged, the EMS 130 may sell the surplus power in the regional microgrid 100 to the power grid PS1.

[0071] In the above embodiment, the EMS 130 controls the demand in the regional microgrid 100 to suppress the amount of electricity demanded when the battery is likely to be over-discharged. Alternatively, when the battery is likely to be over-discharged, the EMS 130 may purchase surplus electricity from the power grid PS1 in the regional microgrid 100.

[0072] The EMS130 may control charging and discharging of the battery while ensuring sufficient battery capacity so that the sum of the demand fluctuation ΔLp and the supply fluctuation ΔGpv is equal to or greater than a specific percentage of the maximum power demand. The specific percentage is set between 5% and 10%, being 10% for small-scale regional microgrids 100 and 5% for large-scale regional microgrids 100.

[0073] The EMS130 may control the charging and discharging of the battery using the predictive model PM1. Specifically, the charge / discharge control unit SM4 controls the charging and discharging of the battery using the predictive model PM1, which has been machine-trained using demand amounts measured in the past in the regional microgrid 100 as training data. The charge / discharge control unit SM4 controls the charging and discharging of the battery using the predictive model PM1, which has been machine-trained using supply amounts measured in the past in the regional microgrid 100 as training data. The charge / discharge control unit SM4 controls the charging and discharging of the battery using the predictive model PM1, which has been machine-trained using the startup timing of specific load equipment measured in the past in the regional microgrid 100 as training data.

[0074] The regional microgrid 100 is equipped with a battery storage system 120 as a supply and demand adjustment mechanism. The battery storage system 120 functions as a supply and demand adjustment mechanism through a power conditioner. The regional microgrid 100 may be equipped with other equipment besides the battery storage system 120, as long as it functions as a supply and demand adjustment mechanism. For example, the regional microgrid 100 may be equipped with power generation equipment equipped with a power conditioner, or with a full converter type wind power generation equipment, as supply and demand adjustment mechanisms.

[0075] Regional microgrids 100 may be equipped with existing power generation facilities, such as diesel generators, which are different from renewable energy power generation facilities. In that case, the capacity of the battery storage system may be determined considering the capacity of the existing power generation facilities.

[0076] The execution order of operations, procedures, steps, and stages in the devices, systems, programs, and methods shown in the claims, specifications, and drawings is not explicitly stated as "before," "prior to," etc. Furthermore, it should be noted that the execution order of each process can be arbitrary, unless the output of a previous process is used in a later process. Even if the operation flow in the claims, specifications, and drawings is described using phrases such as "first," "next," etc., for convenience, this does not mean that it is essential to perform the operations in that order. [Explanation of Symbols]

[0077] 100 Regional Microgrids 110 Solar power generation equipment 120 Battery storage equipment 130 EMS 131 Storage device 132 Central Processing Unit 133 Input device 134 Output device 135 Communication equipment CM1 Design Program CM2 Operation Program IM1 1st induction motor IM2 2nd induction motor IM3 3rd induction motor MD1 First measuring instrument MD2 Second measuring instrument MD3 Third measuring instrument MD4, the fourth measuring instrument MD5 Fifth Measurer MD6, the 6th measuring instrument MD7, 7th measuring instrument PM1 Prediction Model PS1 power system PT1 transformer RL1 Resistive load SL1 system line SM1 Equipment capacity determination section SM2 Demand Fluctuation Identification Unit SM3 Supply Fluctuation Identification Unit SM4 Charge / Discharge Control Unit SM5 Supply Control Unit SM6 Demand control section

Claims

1. A method for operating a regional microgrid comprising a renewable energy power generation facility with fluctuating output, a specific load facility through which a large current flows during startup, and a battery storage facility used for emergency operation, To identify the amount of demand fluctuation of the demand equipment including the specified load equipment during a specific time period that takes into account the time when a large current flows when the specified load equipment is started up, To identify the amount of supply fluctuation of the renewable energy power generation facility during the specified time period, This includes controlling the charging and discharging of the battery in the aforementioned battery storage system, A method for operating a regional microgrid, which controls the charging and discharging of a storage battery based on the relationship between the maximum possible demand amount given the aforementioned demand fluctuations and the minimum possible supply amount given the aforementioned supply fluctuations.

2. A method for operating a regional microgrid according to claim 1, wherein the capacity of the storage battery is secured so that the sum of the demand fluctuation and the supply fluctuation is equal to or greater than a specific percentage of the maximum demand power, and the charging and discharging of the storage battery is controlled.

3. A method for operating a regional microgrid according to claim 2, wherein if the maximum demand measured at the specified time is less than the minimum supply, the system controls the system to charge the storage battery.

4. This includes controlling the amount of supply, A method for operating a regional microgrid according to claim 3, wherein if charging the storage battery could result in overcharging, the supply amount is controlled to suppress the supply.

5. A method for operating a regional microgrid according to claim 2, wherein if the maximum demand measured at the specified time is greater than the minimum supply, the battery is controlled to discharge.

6. This includes controlling the aforementioned demand quantity, A method for operating a regional microgrid according to claim 5, wherein if discharging the storage battery could result in over-discharge, the demand is controlled to suppress the amount of demand.

7. An operating device for a regional microgrid comprising a renewable energy power generation facility with fluctuating output, a specific load facility through which a large current flows during startup, and a battery storage facility used for emergency operation, A demand fluctuation amount identification unit that identifies the amount of demand fluctuation of demand equipment including the specified load equipment during a specific time period that takes into account the time when a large current flows when the specified load equipment is started up, A supply fluctuation amount identification unit that identifies the amount of supply fluctuation of the renewable energy power generation equipment during the specified time period, The battery storage system includes a charge / discharge control unit that controls the charging and discharging of the battery, The charge / discharge control unit controls the charging and discharging of the battery based on the relationship between the maximum demand amount that the demand can take when given the demand fluctuation amount specified by the demand fluctuation amount specification unit and the minimum supply amount that the supply can take when given the supply fluctuation amount specified by the supply fluctuation amount specification unit. This is an operating device for a regional microgrid.

8. The charging and discharging control unit controls the charging and discharging of the battery using a predictive model trained with the demand amount measured in the past in the regional microgrid as training data, as described in claim 7, for the operation device of a regional microgrid.

9. The charging and discharging control unit controls the charging and discharging of the storage battery using a predictive model trained with the supply amount previously measured in the regional microgrid as training data, as described in claim 7, for the operation device of a regional microgrid.

10. A regional microgrid operation program that causes a computer to function as an operating device for a regional microgrid comprising renewable energy power generation equipment with fluctuating output, specific load equipment through which a large current flows at startup, and battery storage equipment used for emergency operation, The aforementioned computer, A demand fluctuation amount identification unit that identifies the amount of demand fluctuation of demand equipment including the specified load equipment during a specific time period that anticipates the time during which a large current flows when the specified load equipment is started up. A supply fluctuation amount identification unit that identifies the amount of supply fluctuation of the renewable energy power generation equipment during the specified time period, It functions as a charge / discharge control unit that controls the charging and discharging of the battery in the aforementioned battery storage system. The charge / discharge control unit controls the charging and discharging of the battery based on the relationship between the maximum demand amount that the demand can take given the demand fluctuation amount identified by the demand fluctuation amount identification unit and the minimum supply amount that the supply can take given the supply fluctuation amount identified by the supply fluctuation amount identification unit, which is an operation program for a regional microgrid.

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