Distributed power supply control system and distributed power supply control method

Abstract

To provide a decentralized power supply control system and a decentralized power supply control method that can appropriately control decentralized power supplies while detecting the life of or an abnormality in the decentralized power supplies.SOLUTION: A decentralized power supply system comprises: a first server that generates control commands controlling decentralized power supplies installed in facilities; and a second server that relays the control commands between the first server and the decentralized power supplies. The second server comprises a storage unit that stores measurement data related to the decentralized power supplies, and a calculation unit that calculates a predicted value of the measurement data with reference to a predetermined time. The first server includes a generation unit that generates the control commands on the basis of the predicted value of the measurement data.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to a distributed power source control system and a distributed power source control method.

Background Art

[0002] In recent years, in order to share a power storage device within a community, a server that controls charging or discharging of the power storage device while securing a part of the capacity of the power storage device is known (for example, Patent Document 1).

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] By the way, in a case where a relay server that relays a control command transmitted from an operator server is arranged between the operator server that controls a distributed power source such as a power storage device (hereinafter, operator server) and the distributed power source. For example, the relay server can detect the life or abnormality of the distributed power source by acquiring measurement data related to the distributed power source.

[0005] However, in a case where a relay server is arranged between the operator server and the distributed power source, a delay time from when measurement data is transmitted from the distributed power source until the control command reaches the distributed power source is assumed when the operator server transmits the control command. For example, as the delay time, the time for the relay server to collect measurement data from the distributed power source, the time for the operator server to read the measurement data from the relay server, the time for the operator server to generate a control command based on the measurement data, etc. can be considered.

[0006] In other words, since the control commands for the distributed power supply are generated based on measurement data from the aforementioned delay time, the state of the distributed power supply may differ from what was expected, and it may not be possible to control the distributed power supply properly.

[0007] Therefore, the present invention has been made to solve the above-mentioned problems, and aims to provide a distributed power supply control system and a distributed power supply control method that enable appropriate control of distributed power supplies while detecting the lifespan or abnormalities of distributed power supplies. [Means for solving the problem]

[0008] One aspect of the disclosure is a distributed power control system comprising: a first server that generates control commands for controlling distributed power sources installed in a facility; and a second server that relays the control commands between the first server and the distributed power sources, wherein the second server comprises a storage unit for storing measurement data relating to the distributed power sources and a calculation unit for calculating predicted values ​​of the measurement data based on a predetermined time, and the first server comprises a generation unit for generating the control commands based on the predicted values ​​of the measurement data.

[0009] One aspect of the disclosure is a distributed power supply control method comprising: a first server generating a control command for controlling a distributed power supply installed in a facility; a second server relaying the control command between the first server and the distributed power supply; the second server storing measurement data relating to the distributed power supply; the second server calculating a predicted value of the measurement data based on a predetermined time; and the first server generating the control command based on the predicted value of the measurement data. [Effects of the Invention]

[0010] According to the present invention, it is possible to provide a distributed power supply control system and a distributed power supply control method that enable the appropriate control of distributed power supplies while detecting the lifespan or abnormalities of the distributed power supplies. [Brief explanation of the drawing]

[0011] [Figure 1] Figure 1 shows a distributed power control system 1 according to an embodiment. [Figure 2] Figure 2 shows a facility 100 according to an embodiment. [Figure 3] Figure 3 shows a first server 200 according to an embodiment. [Figure 4] Figure 4 shows a second server 300 according to this embodiment. [Figure 5] Figure 5 is a diagram illustrating the predicted values ​​of measurement data according to the embodiment. [Figure 6] Figure 6 is a diagram illustrating an example of operation according to the embodiment. [Figure 7] Figure 7 is a diagram illustrating an example of operation according to the embodiment. [Figure 8] Figure 8 is a diagram illustrating an example of operation according to the embodiment. [Figure 9] Figure 9 is a diagram illustrating an example of operation according to the embodiment. [Figure 10] Figure 10 is a diagram illustrating an example of operation according to the embodiment. [Figure 11] Figure 11 is a diagram illustrating an example of operation according to the embodiment. [Figure 12] Figure 12 is a diagram illustrating an example of operation according to the embodiment. [Modes for carrying out the invention]

[0012] Embodiments will be described below with reference to the drawings. In the following drawings, identical or similar parts are denoted by the same or similar reference numerals. However, the drawings are schematic.

[0013] [Embodiment] (Distributed power control system) Hereinafter, the distributed power control system according to the embodiment will be described. The distributed power control system may simply be referred to as a power system.

[0014] As shown in FIG. 1, the distributed power control system 1 has a facility 100. The distributed power control system 1 includes a first server 200 and a second server 300.

[0015] Here, the facility 100, the first server 200, and the second server 300 are configured to be communicable via a network 11. The network 11 may include the Internet, may include a dedicated line such as a VPN (Virtual Private Network), or may include a mobile communication network.

[0016] The facility 100 is connected to a power system 12, and power may be supplied from the power system 12 to the facility 100, or the facility 100 may supply power to the power system 12. The power from the power system 12 to the facility 100 may be referred to as forward power flow. The power from the facility 100 to the power system 12 may be referred to as reverse power flow. In FIG. 1, facilities 100A to 100C are illustrated as the facility 100.

[0017] Although not particularly limited, the facility 100 may be a facility such as a house, may be a facility such as a store, or may be a facility such as an office. The facility 100 may be an apartment house including two or more houses. The facility 100 may be a complex facility including at least any two or more of houses, stores, and offices. Details of the facility 100 will be described later (see FIG. 2). Note that a user who owns or manages the facility 100 may also be referred to as the facility 100.

[0018] The first server 200 is managed by a business operator (retail electricity business operator) that sells electricity to the facility 100. The retail electricity business operator may include a regional power company (general electricity business operator) that manages infrastructure such as the power grid 12, or it may include a new electricity business operator other than a regional power company. The new electricity business operator may be expected to sell electricity to the facility by procuring electricity from the electricity market. The first server 200 may also be called the business operator server. Details of the first server 200 will be described later (see Figure 3). Note that the business operator that manages the first server 200 may also be called the first server.

[0019] Here, the electricity market may include a wholesale electricity market for trading electricity supplied to facility 100 (procured electricity), an electricity adjustment market for adjusting the gap in electricity supply and demand after the gate closing of the wholesale electricity market, and a capacity market for trading supply capacity (e.g., reverse power flow). The electricity market may also include trading electricity with other retail electricity providers. The electricity market may also include trading electricity with other power generators. In other words, the electricity market can be any exchange for trading electricity, regardless of whether it is in one-to-one, one-to-other, or many-to-many form.

[0020] In this embodiment, the first server 200 is an example of a first server that generates control commands to control distributed power supplies installed in the facility 100.

[0021] The second server 300 may be managed by a business operator that manufactures or sells distributed power supplies. The second server 300 may receive measurement data related to the distributed power supplies and detect the lifespan or abnormality of the distributed power supplies based on the measurement data. The second server 300 relays control commands between the first server 200 and the distributed power supplies. That is, the first server 200 does not directly issue at least some control commands to the distributed power supplies. The second server 300 relays measurement data between the distributed power supplies and the first server 200. That is, the first server 200 obtains at least some measurement data only from the second server 300. The second server 300 may process the measurement data during the relay process. The second server may also be referred to as a relay server. Details of the second server 300 will be described later (see Figure 4). Note that the business operator that manages the second server 300 may also be referred to as the second server.

[0022] Here, the measurement data relating to the distributed power source may include the operating mode of the distributed power source, the output power value of the distributed power source, and the time associated with these. For example, if the distributed power source is a power storage device 120, the measurement data relating to the power storage device 120 may include the operating mode of the power storage device 120 (e.g., charging mode, discharging mode, standby mode), the charging power value of the power storage device 120, the discharging power value of the power storage device 120 (available capacity value), the discharging power value of the power storage device 120 (remaining charge value), and the time associated with these.

[0023] In this embodiment, the second server 300 is an example of a second server that relays control commands between the first server 200 and the distributed power supply.

[0024] (facility) The facility according to the embodiment will be described below. As shown in Figure 2, the facility 100 may include a solar cell device 110, an energy storage device 120, a fuel cell device 130, load equipment 140, and an EMS (Energy Management System) 160. The facility 100 may also include a measuring device 190.

[0025] The solar cell system 110 is a distributed power source that generates electricity in response to light such as sunlight. For example, the solar cell system 110 consists of a PCS (Power Conditioning System) and solar panels. Here, installation may mean connecting the solar cell system 110 to the power grid 12.

[0026] The energy storage device 120 is a distributed power source that charges and discharges electricity. For example, the energy storage device 120 is composed of a PCS and energy storage cells. Here, installation may mean connecting the energy storage device 120 to the power grid 12. In the following, the energy storage device 120 is an example of a distributed power source used to adjust the power supply and demand balance of the power grid 12. The energy storage device 120 may also be considered an example of a distributed power source used for VPP (Virtual Power Plant) control.

[0027] The fuel cell system 130 is a distributed power source that generates electricity using fuel. For example, the fuel cell system 130 consists of a PCS and a fuel cell. Here, installation may mean connecting the fuel cell system 130 to the power grid 12.

[0028] For example, the fuel cell device 130 may be a solid oxide fuel cell (SOFC), a polymer electrolyte fuel cell (PEFC), a phosphoric acid fuel cell (PAFC), or a molten carbonate fuel cell (MCFC).

[0029] The load device 140 is a device that consumes electricity. For example, the load device 140 may include an air conditioner, a heat pump water heater, a lighting device, and the like.

[0030] The EMS 160 manages the power supply for the facility 100. The EMS 160 may also control the solar cell system 110, the energy storage system 120, the fuel cell system 130, and the load equipment 140. In this embodiment, the EMS 160 is exemplified as a device that receives control commands from the first server 200, but such a device may also be called a Gateway or simply a control unit. To distinguish it from the first server 200, the EMS 160 may be called a LEMS (Local EMS) or a HEMS (Home EMS).

[0031] The measuring device 190 measures the forward power flow (hereinafter also referred to as demand power) from the power system 12 to the facility 100. The measuring device 190 may also measure the reverse power flow from the facility 100 to the power system 12. For example, the measuring device 190 may be a Smart Meter belonging to a power company. The measuring device 190 may transmit information elements indicating the measurement results (integral value of forward power flow or reverse power flow) for each first interval (e.g., 30 minutes). The measuring device 190 may also transmit information elements indicating the measurement results for a second interval (e.g., 1 minute) shorter than the first interval to the EMS 160. Furthermore, if the measuring device 190 is a current transformer, any of the solar cell equipment 110, energy storage equipment 120, fuel cell equipment 130, load equipment 140, or EMS 160 may utilize the measuring device 190.

[0032] (Server 1) The first server according to the embodiment will be described below. As shown in Figure 3, the first server 200 includes a communication unit 210, a management unit 220, and a control unit 230.

[0033] The communication unit 210 is comprised of a communication module. The communication module may be a wireless communication module compliant with standards such as IEEE 802.11a / b / g / n / ac / ax, ZigBee, Wi-SUN, LTE, 5G, or 6G, or it may be a wired communication module compliant with standards such as IEEE 802.3.

[0034] For example, the communication unit 210 may transmit control commands to the second server 300 to control the distributed power supply. The communication unit 210 may also receive measurement data related to the distributed power supply from the second server 300. As described above, the measurement data may be processed by the second server 300. The processed measurement data may be predicted values ​​of the measurement data described later.

[0035] Here, the predicted values ​​of the measurement data may include predicted values ​​for the operating mode of the distributed power source, predicted values ​​for the output power of the distributed power source, etc. For example, if the distributed power source is an energy storage device 120, the predicted values ​​of the measurement data may include predicted values ​​for the operating mode of the energy storage device 120 (e.g., charging mode, discharging mode, standby mode), predicted values ​​for the charging power of the energy storage device 120, predicted values ​​for the discharging power of the energy storage device 120, predicted values ​​for the rechargeable power (available capacity) of the energy storage device 120, predicted values ​​for the dischargeable power (remaining energy) of the energy storage device 120, etc.

[0036] The predicted values ​​of the charging power of the energy storage device 120 and the predicted values ​​of the discharging power of the energy storage device 120 may be expressed in W, in Wh, or as coefficients.

[0037] The management unit 220 is composed of storage media such as HDDs (Hard Disk Drives), SSDs (Solid State Drives), and non-volatile memory.

[0038] For example, the management unit 220 may manage one or more facilities 100 connected to the power system 12. The management of one or more facilities 100 may be interpreted as the management of one or more distributed power sources connected to the power system 12. For example, the management unit 220 may manage measurement data received from the second server 300.

[0039] The management unit 220 may manage information relating to the facility 100. For example, information relating to the facility 100 may include the type of distributed power source (solar cell system 110, energy storage system 120, or fuel cell system 130) installed in the facility 100, and the specifications of the distributed power source (solar cell system 110, energy storage system 120, or fuel cell system 130) installed in the facility 100. The specifications may include the rated power generation of the solar cell system 110, the rated charging power of the energy storage system 120, the rated discharge power of the energy storage system 120, and the rated output power of the fuel cell system 130. The specifications may also include the rated capacity and maximum charge / discharge power of the energy storage system 120.

[0040] The control unit 230 may include at least one processor. The at least one processor may consist of a single integrated circuit (IC) or a plurality of communicatively connected circuits (such as integrated circuits and / or discrete circuits(s)).

[0041] For example, the control unit 230 may formulate a control plan for distributed power sources based on measurement data received from the second server 300. The control plan may be formulated to minimize the cost of power procurement for the first server 200 (e.g., a new power company). The control plan may be formulated to minimize the cost of power demand for the facility 100. The control unit 230 may generate control commands in accordance with the control plan.

[0042] In this embodiment, the control unit 230 is configured as a generation unit that generates control commands based on predicted values ​​of measurement data. For example, if a control command is to generate a command to supply power to load equipment 140 etc. from the energy storage device 120, the control unit 230 of the first server 200 acquires predicted values ​​(remaining energy storage values) of the measurement data of each energy storage device 120 managed by the management unit 320 of the second server 300 (the first server 200 may read the predicted values ​​of the measurement data managed by the management unit 320, or it may read the predicted values ​​of the measurement data transmitted by the second server 300 from the management unit 220 which manages the data), calculates a discharge power value that can be output at a constant rate during the time interval in which discharge control is planned, based on the predicted values ​​of the measurement data of each energy storage device 120, and generates a control command (discharge time, discharge end time, and discharge power value) for each energy storage device 120. Details of the predicted values ​​of the measurement data will be described later.

[0043] (Second server) The second server according to the embodiment will be described below. As shown in Figure 4, the second server 300 includes a communication unit 310, a management unit 320, and a control unit 330.

[0044] The communication unit 310 is comprised of a communication module. The communication module may be a wireless communication module compliant with standards such as IEEE 802.11a / b / g / n / ac / ax, ZigBee, Wi-SUN, LTE, 5G, or 6G, or it may be a wired communication module compliant with standards such as IEEE 802.3.

[0045] For example, the communication unit 310 receives control commands from the first server 200 to control the distributed power supply. The communication unit 310 transmits the control commands received from the first server 200 to the distributed power supply. The control commands may be relayed from the first server 200 to the distributed power supply without being processed by the second server 300.

[0046] For example, the communication unit 310 receives measurement data related to the distributed power supply. The communication unit 310 transmits the measurement data received from the distributed power supply to the first server 200. The measurement data may be relayed from the distributed power supply to the first server 200 after being processed by the second server 300. The measurement data processed by the second server 300 may be a predicted value of the measurement data. Details of the predicted value of the measurement data will be described later.

[0047] The management unit 320 is composed of storage media such as HDDs (Hard Disk Drives), SSDs (Solid State Drives), and non-volatile memory.

[0048] For example, the management unit 320 may manage measurement data received from distributed power sources. The measurement data may be used to detect the lifespan or abnormalities of the distributed power sources. In addition to the measurement data, the management unit 320 may also manage predicted values ​​of the measurement data, as described later.

[0049] In this embodiment, the management unit 320 constitutes a storage unit that stores measurement data related to distributed power sources.

[0050] The control unit 330 may include at least one processor. The at least one processor may consist of a single integrated circuit (IC) or a plurality of communicatively connected circuits (such as integrated circuits and / or discrete circuits(s)).

[0051] In this embodiment, the control unit 330 comprises a calculation unit that calculates predicted values ​​of measurement data based on a predetermined time. The predetermined time may be a time after the time the measurement data is received, but before the time when the control of the distributed power supply is executed by a control command.

[0052] Here, the control unit 330 may calculate predicted values ​​of measurement data before and after a predetermined time, in addition to the predicted value of the measurement data at a predetermined time. The predetermined time may be two or more times defined at regular time intervals.

[0053] The control unit 330 may calculate predicted values ​​of the measurement data based on the status of the distributed power supply and the power consumption of the facility 100.

[0054] The state of the distributed power source may include the operating mode and output power value of the distributed power source. For example, if the distributed power source is a power storage device 120, the state of the power storage device 120 may include the operating mode of the power storage device 120 (e.g., charging mode, discharging mode, standby mode), the charging power value of the power storage device 120, the discharging power value of the power storage device 120, the rechargeable power value of the power storage device 120 (available capacity value), and the dischargeable power value of the power storage device 120 (remaining energy value).

[0055] The following methods can be considered for calculating specific predicted values. For example, the control unit 330, which has acquired the remaining charge value of the energy storage device 120 and the schedule for the start of charging or discharging as measurement data from the distributed power source, determines whether or not the energy storage device 120 will be charged or discharged by a predetermined time. If the energy storage device 120 is charged or discharged, the control unit 330 calculates what the remaining power will be (in other words, what the amount of charging or discharging will be). The calculated value is managed by the management unit 320 as a predicted value of the measurement data. The remaining charge value of the energy storage device 120 may be expressed in percentage or in kWh.

[0056] (Predicted values ​​from measurement data) The following describes the predicted values ​​of measurement data according to the embodiment. In the following, an example is given of a case where the distributed power source is a power storage device 120. The second server 300 receives measurement data from each of the two or more power storage devices 120 managed by the second server 300 at predetermined intervals (for example, 10 minutes). The predetermined interval may be considered as the update interval of the measurement data from the two or more power storage devices 120. In the example, Figure 5 shows the options for the target period for which the second server 300 calculates the predicted values ​​of the measurement data, where Alt.1 is the target period from when the reception of measurement data from the power storage device 120 begins until the completion of sending control commands to the power storage device 120, Alt.2 is the target period until the second server 300 receives control commands from the first server 200, Alt.3 is the target period until the first server 200 completes reading the predicted values ​​of the measurement data, and Alt.4 is the target period until the second server 300 receives the last measurement data from the power storage device 120.

[0057] As shown in Alt.1 to Alt.4 of Figure 5, the second server 300 receives measurement data from the first of the two or more energy storage devices 120 at time t1, and receives measurement data from the last of the two or more energy storage devices 120 at time t2. The first energy storage device 120 is the energy storage device 120 that transmits the first measurement data used for formulating the control plan. The last energy storage device 120 is the energy storage device 120 that transmits the last measurement data used for formulating the control plan. Time t1 can be considered as the time when the first measurement data reaches the second server 300. Time t2 can be considered as the time when the last measurement data reaches the second server 300. The delay time between time t1 and time t2 is the delay time required for the measurement data collection process and the calculation of predicted values ​​of the measurement data from the collected measurement data.

[0058] As shown in Alt.1 to Alt.3 of Figure 5, the first server 200 starts reading predicted values ​​of measurement data from the second server 300 at time t2, and completes reading predicted values ​​of measurement data from the second server 300 at time t3. The delay time between time t2 and time t3 is the delay time required for the reading process of predicted values ​​of measurement data.

[0059] As shown in Alt.1 to Alt.2 of Figure 5, the first server 200 starts generating control commands based on the predicted values ​​of the measurement data at time t3, and completes the generation of control commands based on the predicted values ​​of the measurement data at time t4. The delay time between time t3 and time t4 is the delay time required for the control command generation process.

[0060] As shown in Alt.1 of Figure 5, the first server 200 sends a control command to the second server 300 at time t4, and the second server 300 completes sending the control command to the energy storage device 120 at time t5. Time t5 can also be considered as the time when the control command arrives at the energy storage device 120. The delay time between time t4 and time t5 is the delay time required for the transmission process of the control command.

[0061] Firstly, as shown in Figure 5, we will explain the problems that arise in cases where there is a delay time between the transmission of measurement data from the energy storage device 120 and the arrival of a control command to the energy storage device 120.

[0062] Specifically, the control command is generated assuming measurement data from up to a delay time of t5-t1. Therefore, the state of the energy storage device 120 may differ from what is assumed, and it may not be possible to control the energy storage device 120 properly.

[0063] Secondly, I will describe the actions taken to solve the aforementioned problems.

[0064] Specifically, the second server 300 does not transmit the measurement data directly to the first server 200, but rather transmits to the first server 200 predicted values ​​of the measurement data calculated based on a predetermined time. As shown in Figure 5, alternatives Alt.1 to Alt.4 can be considered for the predetermined time.

[0065] In Alt.1, the predetermined time may be time t5. That is, the predicted value of the measurement data may be calculated based on the time when it is assumed that a control command will be sent to the energy storage device 120 (or the time when it is assumed that the control command will arrive at the energy storage device 120). Also, time t5 may be the time when the control command is sent to the first energy storage device, the time when the control command is sent to the last energy storage device, or the time when the control command is sent to an intermediate energy storage device.

[0066] In Alt.2, the predetermined time may be time t4. That is, the predicted value of the measurement data may be calculated based on the time when the first server 200 is expected to send a control command to the second server 300.

[0067] In Alt.3, the predetermined time may be time t3. That is, the predicted value of the measurement data may be calculated based on the time at which the first server 200 is expected to have finished reading the predicted value of the measurement data.

[0068] In Alt.4, the predetermined time may be time t2. That is, the predicted value of the measurement data may be calculated based on the time when the second server 300 is expected to receive the last measurement data. Alternatively, the predicted value of the measurement data may be calculated based on the time when the predicted value of the measurement data is expected to be calculated from the last measurement data received.

[0069] In Alt.1 to Alt.4, since the time at which each energy storage device 120 transmits measurement data is expected to differ for each energy storage device 120, the delay time referenced in calculating the predicted value of the measurement data may also differ for each energy storage device 120. The predicted value of the measurement data is calculated based on the state of each energy storage device 120 and the power consumption of each facility 100 in which the energy storage device 120 is installed.

[0070] (Example of operation) The following describes examples of operation according to the embodiment. The following are possible examples of operation.

[0071] First, we will explain Operation Example 1 with reference to Figure 6.

[0072] In Operation Example 1, as shown in Figure 6, in step S10, the energy storage device 120 transmits the measurement data to the second server 300.

[0073] In step S12, the second server 300 stores the measurement data.

[0074] In step S14, the second server 300 calculates a predicted value of the measurement data based on a predetermined time. The predetermined time may be any of Alt.1 to Alt.4 shown in Figure 5.

[0075] In step S16, the second server 300 sends the predicted values ​​of the measurement data to the first server 200. Step S16 can also be considered as the process by which the first server 200 reads the predicted values ​​of the measurement data.

[0076] In step S18, the first server 200 formulates a control plan for the energy storage device 120. In other words, the first server 200 generates control commands based on predicted values ​​of measurement data.

[0077] In step S20, the first server 200 sends a control command to the second server 300.

[0078] In step S22, the second server 300 transmits a control command to the energy storage device 120.

[0079] Secondly, we will explain Operation Example 2 with reference to Figure 7. Below, we will primarily explain the differences from Operation Example 1.

[0080] In Operation Example 2, the communication unit 310 of the second server 300 is configured as a transmission unit that transmits measurement data or predicted values ​​of measurement data to the first server 200 in response to a request from the first server 200.

[0081] For example, as shown in Figure 7, the second server 300 may transmit measurement data to the first server 200X upon request from the first server 200X. On the other hand, the second server 300 may transmit predicted values ​​of the measurement data to the first server 200Y upon request from the first server 200Y. In such a case, the first server 200X may calculate the predicted values ​​of the measurement data itself and then formulate a control plan for the energy storage device 120.

[0082] In other words, in example 2, the first server 200 may be able to select whether to receive measurement data or predicted values ​​of measurement data.

[0083] Thirdly, Operation Example 3 will be explained with reference to Figure 8. The following explanation will primarily focus on the differences from Operation Example 1. In Figure 8, the same steps as in Figure 6 are given the same step numbers. The explanation of the steps similar to those in Figure 6 will be omitted.

[0084] In Operation Example 3, the control unit 330 of the second server 300 is configured to restrict the operation of the energy storage device 120 when it transmits the predicted value of the measurement data to the first server 200, until it receives a specific instruction from the first server 200. The specific instruction may be the control command itself, or it may be an instruction indicating that there is no need to restrict the operation of the energy storage device 120.

[0085] For example, as shown in Figure 8, in step S17A, the second server 300 transmits a hold command to the energy storage device 120 instructing it to restrict its operation. In step S17B, the energy storage device 120 restricts its operation.

[0086] In Operation Example 3, the restriction on the operation of the energy storage device 120 may be the restriction on the operation of the energy storage device if the deviation from the predicted value of the measured data at a predetermined time exceeds a threshold. For example, even if the predicted value of the measured data acquired by the first server 200 at 10:00 is "predicted value of discharged power amount at 12:00: 2kWh (this may also be the remaining energy storage value, etc.)", if the load increases more than expected, the discharged power of the energy storage device 120 will reach 2kWh at 11:00, earlier than expected, and the deviation from the predicted value of the measured data will become large. Therefore, an upper limit of the discharged power value is calculated and set as a threshold so that the amount of discharged power up to 12:00 remains within the range of the predicted value of discharged power amount, and this is used to restrict the operation of the energy storage device 120. The restriction on the operation of the energy storage device 120 may also be a prohibition on changing the operating mode of the energy storage device 120 by the user of the facility 100 or the EMS 160. The limitations on the operation of the energy storage device 120 may be set by the user of the facility 100 or by the EMS 160, either by setting an upper limit or a lower limit on the charging power value of the energy storage device 120. The limitations on the operation of the energy storage device 120 may also be set by the user of the facility 100 or by the EMS 160, either by setting an upper limit or a lower limit on the discharge power value of the energy storage device 120.

[0087] Fourth, Operation Example 4 will be explained with reference to Figure 9. The following explanation will primarily focus on the differences from Operation Example 1. In Figure 9, the same steps as in Figure 6 are given the same step numbers. The explanation of the steps similar to those in Figure 6 will be omitted.

[0088] In operation example 4, the control unit 330 of the second server 300 calculates predicted values ​​of measurement data based on a predetermined time specified by the first server 200.

[0089] For example, as shown in Figure 9, in step S13, the first server 200 sends a request to the second server 300 requesting the transmission of predicted values ​​of measurement data. The request includes an information element specifying a predetermined time. The predetermined time specified by the first server 200 may be any of Alt.1 to Alt.4 shown in Figure 5.

[0090] Fifth, Operation Example 5 will be explained with reference to Figure 10. The following explanation will primarily focus on the differences from Operation Example 1.

[0091] In operation example 5, the control unit 330 of the second server 300 is configured as a selection unit that selects the energy storage device 120 to be used for calculating the predicted value of the measurement data based on the conditions specified by the first server 200.

[0092] For example, as shown in Figure 10, the first server 200 notifies the second server 300 of the conditions for selecting the energy storage device 120 to be used for calculating the predicted value of the measurement data. The notification of the conditions may also be performed by a request as described in Operation Example 4.

[0093] In Operation Example 5, the condition may be that the dischargeable power value (remaining charge value) of the energy storage device 120 is greater than or equal to a threshold. The condition may also be that the rechargeable power value (available capacity value) of the energy storage device 120 is greater than or equal to a threshold. The condition may also be that the power flow (purchased power) of the facility 100 where the energy storage device 120 is installed is greater than or equal to a threshold, or that the power flow (purchased power) of the facility 100 where the energy storage device 120 is installed is less than or equal to a threshold. The condition may also be that the reverse power flow (sold power) of the facility 100 where the energy storage device 120 is installed is greater than or equal to a threshold, or that the reverse power flow (sold power) of the facility 100 where the energy storage device 120 is installed is less than or equal to a threshold.

[0094] Although not particularly limited, the second server 300 may, similar to example 3, send a hold command to the energy storage device 120 that is the target of the calculation of the predicted value of the measurement data. In other words, the operation of the energy storage device 120 that is the target of the calculation of the predicted value of the measurement data may be restricted.

[0095] Sixth, we will explain Operation Example 6 with reference to Figure 11. The following explanation will primarily focus on the differences from Operation Example 1.

[0096] In operation example 6, the control unit 330 of the second server 300 is configured to restrict the operation of the energy storage device 120 when the predicted value of the measurement data is transmitted to the first server 200 and the conditions corresponding to the predicted value of the measurement data are met.

[0097] For example, as shown in Figure 11, the second server 300 transmits a hold command to the energy storage device 120 that includes an information element indicating a condition corresponding to the predicted value of the measurement data. The energy storage device 120 may allow user operation until the condition is met, and then restrict user operation once the condition is met.

[0098] In Operation Example 6, the condition corresponding to the predicted value of the measurement data may be a condition in which the dischargeable power value (remaining charge value) of the energy storage device 120 is lower than the predicted value, or a condition in which the rechargeable power value (available capacity value) of the energy storage device 120 is lower than the threshold.

[0099] Seventh, Operation Example 7 will be explained with reference to Figure 12. The following explanation will primarily focus on the differences from Operation Example 3. In Figure 12, the same steps as in Figure 8 are given the same step numbers. The explanation of the steps similar to those in Figure 8 will be omitted.

[0100] In operation example 7, the control unit 330 of the second server 300 does not restrict the operation of the energy storage device 120 corresponding to the predicted value of the measurement data when the scheduled time for sending the control command is later than the specified time, but restricts the operation of the energy storage device 120 corresponding to the predicted value of the measurement data when the scheduled time is earlier than the specified time.

[0101] For example, as shown in Figure 12, steps S17A and S17B are not executed if the scheduled time is later than the specified time, and steps S17A and S17B are executed if the scheduled time is earlier than the specified time.

[0102] In Operation Example 7, the scheduled time at which the control command is expected to be sent may be notified from the first server 200 to the second server 300. For example, the notification of the scheduled time may be performed by the request described in Operation Example 4.

[0103] In Operation Example 7, the specified time may be a certain time (for example, 2 hours) after the time the request was received as described in Operation Example 4. The certain time may be an initial value set in advance by the second server 300 within a time range that does not impair the prediction accuracy of the predicted value of the measurement data, or it may be determined by the type of measurement data that can be obtained from the energy storage device 120. That is, if the scheduled time is 12 hours (or 1 day) after the time the request was received, the scheduled time is after the specified time, so the second server 300 does not need to calculate the predicted value of the measurement data and instead send the measurement data to the first server 200, nor does it need to restrict the operation of the energy storage device 120. When the second server 300 sends the predicted value of the measurement data or the measurement data to the first server 200, it may add a code indicating which data it is.

[0104] In Operation Example 7, when the predicted value of the measurement data is transmitted to the first server 200, the second server 300 may recalculate the predicted value of the measurement data if the value at a predetermined time deviates from the predicted value of the measurement data by more than a threshold, and then transmit the recalculated predicted value of the measurement data to the first server.

[0105] (Mechanism of Action and Effects) In this embodiment, the second server 300 stores measurement data related to the energy storage device 120 and transmits predicted values ​​of the measurement data calculated based on a predetermined time to the first server 200 (Operation Example 1). With this configuration, the second server can appropriately control the distributed power supply by generating measurement data based on the assumption of a delay time earlier. Furthermore, even if the first server 200 does not have a function to detect the lifespan or abnormalities, the second server 300 can detect the lifespan or abnormalities from the SOC information, elapsed time (years), and charge / discharge information included in the measurement data and notify the first server 200. The first server 200 and the second server 300 can then appropriately control the energy storage device 120 while detecting the lifespan or abnormalities of the energy storage device 120.

[0106] In this embodiment, the second server 300 may send measurement data or predicted values ​​of measurement data to the first server 200 in response to a request from the first server 200. With this configuration, the first server 200 can choose to either acquire the measurement data and calculate the predicted values ​​of the measurement data itself, or depend on the second server 300 to calculate the predicted values ​​of the measurement data (Operation Example 2).

[0107] In this embodiment, the second server 300 may restrict the operation of the energy storage device 120 until it receives a specific instruction from the first server 200 after transmitting a predicted value of the measurement data to the first server 200 (Operation Example 3). With this configuration, it is possible to suppress the deviation of the value at the stage when the control command reaches the energy storage device 120 from the predicted value of the measurement data.

[0108] In this embodiment, the second server 300 may calculate predicted values ​​of measurement data based on a predetermined time specified by the first server 200 (Operation Example 4). With this configuration, the first server 200 can arbitrarily specify the predetermined time.

[0109] In this embodiment, the second server 300 may select the energy storage devices 120 to be used for calculating predicted values ​​of measurement data based on conditions specified by the first server 200 (Operation Example 5). With this configuration, the first server 200 (for example, a new power company) can appropriately select energy storage devices 120 that contribute to minimizing the cost of procuring electricity, and the energy storage devices 120 that were not selected can be appropriately utilized under the leadership of the facility 100.

[0110] In this embodiment, the second server 300 may restrict the operation of the energy storage device 120 if the conditions corresponding to the predicted values ​​of the measurement data are met when it transmits the predicted values ​​of the measurement data to the first server 200 (Operation Example 6). With this configuration, it is possible to suppress unnecessary restrictions on the operation of the energy storage device 120 while suppressing deviations from the predicted values ​​of the measurement data at the stage when the control command reaches the energy storage device 120.

[0111] In this embodiment, the second server 300 may not calculate predicted values ​​for measurement data when the scheduled time for sending a control command is later than a specific time, but may calculate predicted values ​​for measurement data when the scheduled time is earlier than a specific time (Operation Example 7). With this configuration, it is possible to suppress the calculation of unnecessary predicted values ​​for measurement data in cases where the scheduled time is quite far in the future and the accuracy of the measurement data prediction cannot be sufficiently guaranteed.

[0112] In this embodiment, the second server 300 may not restrict the operation of the energy storage device 120 if the scheduled time for sending the control command is later than the specified time, but may restrict the operation of the energy storage device 120 if the scheduled time is earlier than the specified time (Operation Example 7). With this configuration, it is possible to suppress excessive restriction of the operation of the energy storage device 120 in cases where the scheduled time is quite far in the future and the prediction accuracy of the measurement data cannot be sufficiently guaranteed.

[0113] [Other embodiments] Although the present invention has been described by the embodiments described above, the descriptions and drawings that constitute part of this disclosure should not be understood as limiting the invention. Various alternative embodiments, examples, and operational techniques will become apparent to those skilled in the art from this disclosure.

[0114] Although not specifically mentioned in the disclosure above, two or more operation examples selected from operation examples 1 to 7 may be combined.

[0115] Although not specifically mentioned in the disclosure above, the measurement data relating to the distributed power source may include a value indicating the power flow (purchased power) of the facility 100 where the energy storage device 120 is installed, and may also include a value indicating the power flow (purchased power) of the facility 100 where the energy storage device 120 is installed.

[0116] The disclosure described above illustrates a case in which measurement data is transmitted from the energy storage device 120 to the second server 300. However, the disclosure is not limited to this. For example, the measurement data may be transmitted from the EMS 160 to the second server 300.

[0117] The above disclosure provides an example of a case where the distributed power source controlled by the first server 200 is a power storage device 120. However, the above disclosure is not limited to this. The distributed power source controlled by the first server 200 may also include a solar cell device 110, a fuel cell device 130, etc. The distributed power source controlled by the first server 200 may also include a wind power generator, a geothermal power generator, etc.

[0118] Although not specifically mentioned in the disclosure above, power may be expressed as an instantaneous value (W or kW) or as an integrated value over a unit of time (Wh or kWh).

[0119] Although not specifically mentioned in the disclosure above, a program may be provided that causes a computer to execute each of the processes performed by the first server 200 or the second server 300. Furthermore, the program may be recorded on a computer-readable medium. Using a computer-readable medium, it is possible to install the program on a computer. Here, the computer-readable medium on which the program is recorded may be a non-transient recording medium. The non-transient recording medium is not particularly limited, but may include, for example, a CD-ROM or DVD-ROM.

[0120] Alternatively, a chip may be provided comprising memory for storing programs for executing each process performed by the first server 200 or the second server 300, and a processor for executing the programs stored in memory.

[0121] [Note] The disclosures described above may also be expressed as follows:

[0122] The first feature is a distributed power control system comprising: a first server that generates control commands for controlling distributed power sources installed in a facility; and a second server that relays the control commands between the first server and the distributed power sources, wherein the second server comprises a storage unit for storing measurement data relating to the distributed power sources and a calculation unit for calculating predicted values ​​of the measurement data based on a predetermined time, and the first server comprises a generation unit that generates the control commands based on the predicted values ​​of the measurement data.

[0123] The second feature is that, in the first feature, the second server is a distributed power control system that includes a transmission unit that transmits the measurement data or a predicted value of the measurement data to the first server in response to a request from the first server.

[0124] The third feature is a distributed power supply control system in which, in the first or second feature, the second server includes a control unit that restricts the operation of the distributed power supply until it receives a specific instruction from the first server when it transmits a predicted value of the measurement data to the first server.

[0125] The fourth feature is a distributed power control system in which, in at least one of the first to third features, the calculation unit calculates a predicted value of the measurement data based on the predetermined time specified by the first server.

[0126] The fifth feature is a distributed power control system in which, in at least one of the first to fourth features, the second server includes a selection unit that selects the distributed power sources to be used for calculating the predicted values ​​of the measurement data based on conditions specified by the first server.

[0127] The sixth feature is a distributed power control system in which, in at least one of the first to fifth features, the second server includes a control unit that restricts the operation of the distributed power supply when the predicted value of the measurement data is transmitted to the first server and a condition corresponding to the predicted value of the measurement data is met.

[0128] The seventh feature is a distributed power control system in which, in at least one of the first to sixth features, the second server includes a control unit that does not restrict the operation of the distributed power supply corresponding to the predicted value of the measurement data when the assumed scheduled time of the control command is later than a specific time, and restricts the operation of the distributed power supply corresponding to the predicted value of the measurement data when the scheduled time is earlier than the specific time.

[0129] The eighth feature is a distributed power supply control method comprising: step A, a first server generates a control command to control a distributed power supply installed in a facility; step B, a second server relays the control command between the first server and the distributed power supply; step C, the second server stores measurement data relating to the distributed power supply; and step D, the second server calculates a predicted value of the measurement data based on a predetermined time, wherein step A includes the step of the first server generating the control command based on the predicted value of the measurement data. [Explanation of Symbols]

[0130] 1…Distributed power control system, 11…Network, 12…Power grid, 100…Facilities, 110…Solar cell equipment, 120…Energy storage equipment, 130…Fuel cell equipment, 140…Load equipment, 160…EMS, 190…Measuring device, 200…First server, 210…Communication unit, 220…Management unit, 230…Control unit, 300…Second server, 310…Communication unit, 320…Management unit, 330…Control unit

Claims

1. A first server that generates control commands to control the distributed power supplies installed in the facility, The system comprises a second server that relays the control commands between the first server and the distributed power supply, The second server comprises a storage unit for storing measurement data relating to the distributed power supply, and a calculation unit for calculating predicted values ​​of the measurement data based on a predetermined time. The first server is a distributed power supply control system comprising a generation unit that generates the control command based on the predicted value of the measurement data.

2. The distributed power control system according to claim 1, wherein the second server includes a transmission unit that transmits the measurement data or a predicted value of the measurement data to the first server in response to a request from the first server.

3. The distributed power supply control system according to claim 1, wherein the second server includes a control unit that restricts the operation of the distributed power supply until it receives a specific instruction from the first server when it transmits a predicted value of the measurement data to the first server.

4. The distributed power control system according to claim 1, wherein the calculation unit calculates a predicted value of the measurement data based on the predetermined time specified by the first server.

5. The distributed power control system according to claim 1, wherein the second server includes a selection unit that selects the distributed power sources to be used for calculating the predicted values ​​of the measurement data based on conditions specified by the first server.

6. The distributed power supply control system according to claim 1, wherein the second server includes a control unit that restricts the operation of the distributed power supply when a condition corresponding to the predicted value of the measurement data is met after the predicted value of the measurement data is transmitted to the first server.

7. The distributed power control system according to claim 1, wherein the second server includes a control unit that does not restrict the operation of the distributed power supply corresponding to the predicted value of the measurement data when the expected scheduled time of the control command is later than a specific time, and restricts the operation of the distributed power supply corresponding to the predicted value of the measurement data when the scheduled time is earlier than the specific time.

8. Step A involves the first server generating control commands to control the distributed power supplies installed in the facility, Step B involves the second server relaying the control command between the first server and the distributed power supply, Step C, in which the second server stores measurement data related to the distributed power supply, The second server includes step D, which calculates a predicted value of the measurement data based on a predetermined time, Step A is a distributed power supply control method comprising the step in which the first server generates the control command based on the predicted value of the measurement data.

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