Power management device and power management method

Abstract

This power management device comprises: an acquisition unit that acquires, as time-series data, a measurement result of a measurement device for measuring, at a prescribed cycle, power supplied to a load device from a power socket installed at a facility; and a control unit that executes, when the time-series data satisfies a first condition, a first process for dividing the time-series data into first time-series data obtained before the first condition is satisfied and second time-series data obtained after the first condition is satisfied. The control unit executes a second process for predicting power consumption of a second load device on the basis of the second time-series data under the assumption that the first time-series data corresponds to a first load device and the second time-series data corresponds to the second load device. The first condition stipulates that the difference between a measurement result obtain in the n th (n represents integer of 1 or more) round and a measurement result obtained in the n+x th round (x represents integer of 2 or more) is equal to or larger than a prescribed difference.

Description

Technical Field

[0001] The present invention relates to a power management device and a power management method.

Background Art

[0002] In recent years, a technique of using distributed power sources such as power storage devices installed in facilities when disasters or the like occur is known. For example, a technique has been proposed in which the power consumption of load devices during a planned power outage period is predicted, and the remaining power storage amount of a power storage device corresponding to the power consumption of the load devices is secured before the planned power outage period (for example, Patent Document 1).

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

[0004] The power management device according to the present disclosure includes an acquisition unit that acquires measurement results of a measurement device that measures power supplied from a power socket installed in a facility to a load device at a predetermined cycle as time-series data, and when the time-series data satisfies a first condition, a control unit that executes a first process of classifying the time-series data into first time-series data before the first condition is satisfied and second time-series data after the first condition is satisfied. The control unit executes a second process of predicting the power consumption of the second load device based on the second time-series data on the assumption that the first time-series data corresponds to a first load device and the second time-series data corresponds to a second load device. The first condition is that the difference between the measurement result of the nth (n is an integer of 1 or more) measurement and the measurement result of n + x (x is an integer of 2 or more) is equal to or greater than a predetermined difference.

[0005] The power management method according to the present disclosure includes a step of acquiring measurement results of a measurement device that measures power supplied from a power socket installed in a facility to a load device at a predetermined cycle as time-series data, and when the time-series data satisfies a first condition, performing a first process of classifying the time-series data into first time-series data before the first condition is satisfied and second time-series data after the first condition is satisfied, and assuming that the first time-series data corresponds to a first load device and the second time-series data corresponds to a second load device, performing a second process of predicting the power consumption of the second load device based on the second time-series data, where the first condition is that the difference between the measurement result at the nth (n is an integer of 1 or more) measurement and the measurement result at the (n + x)th (x is an integer of 2 or more) measurement is equal to or greater than a predetermined difference.

Brief Description of the Drawings

[0006]

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Mode for Carrying Out the Invention

[0007] Hereinafter, embodiments will be described with reference to the drawings. In the following description of the drawings, the same or similar parts are denoted by the same or similar reference numerals. However, the drawings are schematic.

[0008] [Embodiment] (Power Management System) Hereinafter, a power management system according to an embodiment will be described. As shown in FIG. 1, the power management system 1 has a facility 100. The power management system 1 may include a power management server 200 and an external server 300.

[0009] Here, the facility 100, the power management server 200, and the external 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.

[0010] The facility 100 is connected to the 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 tidal power or purchased power. The power from the facility 100 to the power system 12 may be referred to as reverse tidal power or sold power. In FIG. 1, facilities 100A to 100C are illustrated as the facility 100.

[0011] Although not particularly limited, the facility 100 may be a facility such as a house, a facility such as a store, or a facility such as an office. The facility 100 may be an apartment building including two or more houses. The facility 100 may be a complex facility including at least two or more of houses, stores, and offices. Details of the facility 100 will be described later (see FIG. 2).

[0012] The power management server 200 is a server managed by an operator such as a power generation operator, a power transmission and distribution operator, a retail operator, or a resource aggregator. The resource aggregator may be a power operator that adjusts the power supply-demand balance of the power grid 12 in a VPP (Virtual Power Plant). The adjustment of the power supply-demand balance may include a transaction (hereinafter, a negative watt transaction) that exchanges the reduced power of the demand power (inflow power) of the facility 100 for value. The adjustment of the power supply-demand balance may include a transaction that exchanges the increased power of the reverse power flow for value. The resource aggregator may be a power operator that provides reverse power flow to a power generation operator, a power transmission and distribution operator, a retail operator, etc. in a VPP.

[0013] The power management server 200 may manage information regarding a power outage of the facility 100 (hereinafter, planned power outage information). The planned power outage information may include information regarding a predetermined planned power outage. The planned power outage information may include information indicating a time zone in which the planned power outage occurs.

[0014] The external server 300 is a server that manages various information. The external server 300 may manage information regarding a power outage of the facility 100 (hereinafter, power outage impact information). For example, the external server 300 is a server that manages weather information. The power outage impact information may include disaster information such as a heavy rain special warning, flood occurrence information, landslide disaster warning information, flood risk information, heavy rain warning, flood warning, flood warning information, flood caution information, heavy rain caution information, flood caution information, etc.

[0015] (Facility) Hereinafter, the facility according to the embodiment will be described. As shown in FIG. 2, the facility 100 includes a solar power generation device 110, a power storage device 120, a power socket 130, a load device 140, and an EMS (Energy Management System) 150. The facility 100 may include a measurement device 160, a measurement device 161, and a measurement device 162.

[0016] The solar power generation device 110 is a distributed power source that generates electricity in response to light such as sunlight. For example, the solar power generation device 110 is composed of a PCS (Power Conditioning System) and solar panels. In the embodiment, the solar power generation device 110 is an example of a power generation device installed in the facility 100.

[0017] The power storage device 120 is a distributed power source that charges and discharges electricity. For example, the power storage device 120 is composed of a PCS and power storage cells.

[0018] The power socket 130 is a connection interface into which the plug of the load device 140 is inserted. The power socket 130 may have a measurement device 131 that measures the power (power consumption) supplied to the load device 140 connected to the power socket 130 at a predetermined period (for example, 30 seconds). The power socket 130 may have a relay that shuts off the power supply to the load device 140.

[0019] The measurement device 131 may measure the power consumption or may measure the current for identifying the power consumption. The predetermined period may be referred to as a sampling period. The measurement device 131 transmits the measurement result of the measurement device 131 to the EMS 150. Each measurement result may be transmitted at the sampling period. Some measurement results may be transmitted collectively at a period longer than the sampling period. The measurement result may be represented by an instantaneous value or may be represented by an integrated value.

[0020] In FIG. 2, as the power socket 130, the power socket 130A, the power socket 130B, and the power socket 130X are illustrated. As the measurement device 131, the measurement device 131A, the measurement device 131B, and the measurement device 131X are illustrated. The power socket 130A supplies AC power to the load device 140A connected to the power socket 130A, and the measurement device 131A measures the power consumption of the load device 140A. Similarly, the power socket 130B supplies AC power to the load device 140B connected to the power socket 130B, and the measurement device 131B measures the power consumption of the load device 140B. On the other hand, the power socket 130X supplies DC power to the load device 140X connected to the power socket 130X, and the measurement device 131X measures the power consumption of the load device 140X.

[0021] The load device 140 is a device that consumes power. For example, the load device 140 may include video devices, audio devices, refrigerators, washing machines, air conditioners, personal computers, and the like.

[0022] In FIG. 2, as the load device 140, the load device 140A, the load device 140B, and the load device 140X are illustrated. The load device 140A means a load device connected to the power socket 130A and may indicate different load devices. Similarly, the load device 140B means a load device connected to the power socket 130B and may indicate different load devices, and the load device 140X means a load device connected to the power socket 130X and may indicate different load devices.

[0023] The EMS 150 manages the power related to the facility 100. The EMS 150 may control the solar cell device 110, the power storage device 120, and the load device 140. In the embodiment, the EMS 150 is an example of a power management device. Details of the EMS 150 will be described later (see FIG. 3).

[0024] The measuring device 160 measures the power flow from the power system 12 to the facility 100. The measuring device 160 may measure the reverse power flow from the facility 100 to the power system 12. For example, the measuring device 160 may be a Smart Meter belonging to the power company. The measuring device 160 may transmit an information element indicating the measurement result (integrated value of power flow or reverse power flow) in the first interval (for example, 30 minutes) to the EMS 150 every first interval.

[0025] The measuring device 161 measures the output power of the solar power generation device 110. The measuring device 161 may transmit an information element indicating the measurement result in a second interval shorter than the first interval (for example, 1 minute) to the EMS 150 every second interval. The measurement result may be represented by an instantaneous value or an integrated value.

[0026] The measuring device 162 measures the charging power and discharging power of the energy storage device 120. The measuring device 162 may transmit an information element indicating the measurement result in a second interval shorter than the first interval (for example, 1 minute) to the EMS 150 every second interval. The measurement result may be represented by an instantaneous value or an integrated value.

[0027] (Power management device) Hereinafter, the power management device according to the embodiment will be described. As described above, the EMS 150 is an example of a power management device. As shown in FIG. 3, the EMS 150 includes a first communication unit 151, a second communication unit 152, and a control unit 153.

[0028] The first communication unit 151 is composed of a communication module. The communication module may be a wireless communication module compliant with standards such as IEEE802.11a / b / g / n / ac / ax, ZigBee, Wi-SUN, LTE, 5G, 6G, etc., or a wired communication module compliant with standards such as IEEE802.3 or a proprietary dedicated protocol.

[0029] The first communication unit 151 may communicate with the power management server 200 via the network 11. The first communication unit 151 may communicate with the external server 300 via the network 11.

[0030] In an embodiment, the first communication unit 151 may constitute a receiving unit that receives information regarding a power outage of the facility 100. For example, the first communication unit 151 may receive planned power outage information from the power management server 200, and may receive power outage impact information from the external server 300.

[0031] The second communication unit 152 is constituted by a communication module. The communication module may be a wireless communication module compliant with standards such as IEEE802.11a / b / g / n / ac / ax, ZigBee, Wi-SUN, LTE, 5G, 6G, etc., or may be a wired communication module compliant with standards such as IEEE802.3 or a proprietary dedicated protocol.

[0032] The second communication unit 152 communicates with the measuring device 131. The second communication unit 152 may communicate with the solar cell device 110 and the power storage device 120. Although signal lines are omitted in FIG. 2, the second communication unit 152 may communicate with the power socket 130 and the load device 140, and may communicate with the measuring devices 160, 161, and 162.

[0033] In an embodiment, the second communication unit 152 constitutes an acquisition unit that acquires the measurement results of the measuring device 131 as time-series data from the measuring device 131.

[0034] The control unit 153 controls the EMS 150. The control unit 153 may include at least one processor. The at least one processor may be constituted by a single integrated circuit (IC), or may be constituted by two or more circuits (such as an integrated circuit and / or discrete circuits) communicably connected.

[0035] The control unit 153 may control the solar power generation device 110 and the power storage device 120. The control unit 153 may control the power socket 130 and the load device 140. For example, the control unit 153 may cut off the power supply from the power socket 130 to the load device 140 by controlling the relay of the power socket 130.

[0036] In the embodiment, the control unit 153 constitutes a control unit that executes a first process of classifying time-series data into first time-series data before the first condition is satisfied and second time-series data after the first condition is satisfied when the time-series data satisfies the first condition.

[0037] Here, the first condition is that the difference between the measurement result of the nth (n is an integer of 1 or more) and the measurement result of n + x (x is an integer of 2 or more) is equal to or greater than a predetermined difference. The value of x may be determined according to the sampling period of the measurement result of the measuring device 131.

[0038] For example, the shorter the sampling period, the larger the value of x may be. According to such a configuration, since the sampling period is short, even assuming a case where the difference in consecutive measurement results does not exceed the predetermined difference and the power consumption changes, the first time-series data and the second time-series data can be appropriately classified.

[0039] On the other hand, the longer the sampling period, the smaller the value of x may be. According to such a configuration, even if the sampling period is long, it is possible to suppress a delay in the timing of classifying the first time-series data and the second time-series data. However, since the value of x is 2 or more, even assuming a case where the measurement result is sampled while the power consumption is changing, the first time-series data and the second time-series data can be appropriately classified.

[0040] Specifically, the control unit 153 classifies the first time-series data and the second time-series data by the method shown below. In FIGS. 4 to 6, the vertical axis represents the measurement result of the measuring device 131. The measurement result is represented by a current for specifying the power consumption of the load device 140 connected to the power socket 130. Here, a case where the value of x is 2 and the predetermined difference is 5 A will be exemplified.

[0041] First, a case where the power consumption increases will be described with reference to FIG. 4. As shown in FIG. 4, the control unit 153 acquires {10, 10, 10, 13, 17, 17, 17, 17, 17} as time-series data. The control unit 153 acquires {0, 3, 7, 4, 0, 0, 0} as the difference between the measurement result at the n-th time and the measurement result at the (n + 2)-th time. The control unit 153 determines that the first condition is satisfied at the timing when the difference is 7 A, classifies {10, 10, 10, 13} as the first time-series data, and classifies {17, 17, 17, 17, 17} as the second time-series data.

[0042] As is clear from the case shown in FIG. 4, when the value of x is 1, the difference in the measurement results is {0, 0, 3, 4, 0, 0, 0, 0}, the first condition is not satisfied, and there is a possibility that the first time-series data and the second time-series data cannot be appropriately classified.

[0043] Second, a case where the power consumption decreases will be described with reference to FIG. 5. As shown in FIG. 5, the control unit 153 acquires {17, 17, 17, 14, 12, 11, 10.5, 10, 10} as time-series data. The control unit 153 acquires {0, 3, 5, 3, 1.5, 0.5, 0} as the difference between the measurement result at the n-th time and the measurement result at the (n + 2)-th time. The control unit 153 determines that the first condition is satisfied at the timing when the difference is 5 A, classifies {17, 17, 17, 14, 12} as the first time-series data, and classifies {11, 10.5, 10, 10} as the second time-series data.

[0044] As is clear from the case shown in FIG. 5, when the value of x is 1, the differences in the measurement results are {0, 0, 0, 3, 2, 1, 0.5, 0.5}, the first condition is not satisfied, and there is a possibility that the first time-series data and the second time-series data cannot be appropriately classified.

[0045] Thirdly, assuming a load device with an inverter, a case where the power consumption increases will be described with reference to FIG. 6. As shown in FIG. 6, the control unit 153 acquires {10, 10, 10, 14, 18, 17, 17, 17, 17} as time-series data. The control unit 153 acquires {0, 4, 8, 3, 0, 0, 0} as the difference between the measurement result at the nth time and the measurement result at the (n + 2)th time. The control unit 153 determines that the first condition is satisfied at the timing when the difference is 8 A, classifies {10, 10, 10, 14} as the first time-series data, and classifies {18, 17, 17, 17, 17} as the second time-series data.

[0046] As is clear from the case shown in FIG. 6, when the value of x is 1, the differences in the measurement results are {0, 0, 4, 4, 1, 0, 0, 0}, the first condition is not satisfied, and there is a possibility that the first time-series data and the second time-series data cannot be appropriately classified.

[0047] In the embodiment, the control unit 153 executes a second process of predicting the power consumption of the second load device based on the second time-series data on the assumption that the first time-series data corresponds to the first load device and the second time-series data corresponds to the second load device.

[0048] Here, the first load device and the second load device are terms introduced for the EMS 150 to predict the power consumption of the load device 140 connected to the power socket 130, and do not mean that the actual load device 140 is different.

[0049] For example, when different load devices 140 are connected to the power socket 130, the actual load device 140 before reconnecting to the power socket 130 may be assumed to be the first load device, and the actual load device 140 after reconnecting to the power socket 130 may be assumed to be the second load device. In such a case, the actual load devices 140 are different. Alternatively, a case where two or more load devices 140 are connected to the power socket 130 may be assumed. In such a case, a combination of two or more load devices 140 may correspond to the first load device or the second load device.

[0050] On the other hand, when the operation mode of the load device 140 connected to the power socket 130 is changed, the actual load device 140 before the operation mode is changed may be assumed to be the first load device, and the actual load device 140 after the operation mode is changed may be assumed to be the second load device. In such a case, the actual load device 140 is the same.

[0051] In an embodiment, the control unit 153 executes a third process of specifying the remaining operable time of the power storage device 120 based on the predicted result of the power consumption of the second load device and the remaining power storage amount of the power storage device 120 installed in the facility 100. The remaining operable time may be the time until the remaining power storage amount of the power storage device 120 falls below the threshold when the use of the second load device is continued.

[0052] In an embodiment, the control unit 153 may execute the first process in a state where the facility 100 is disconnected from the power grid 12 (hereinafter, a disconnected state). The control unit 153 may execute processes (the second process and the third process) premised on the first process in the disconnected state. The disconnected state may be read as a power outage state.

[0053] In the third process, the control unit 153 may specify the remaining available operation time of the power storage device 120 based on the predicted result of the power consumption of the second load device, the remaining power storage amount of the power storage device 120, and the predicted result of the power generation of the power generation device (here, the solar cell device 110) installed in the facility 100. That is, the control unit 153 extends the remaining available operation time of the power storage device 120 based on the predicted result of the power generation of the solar cell device 110.

[0054] For example, the control unit 153 may specify the remaining available operation time of the power storage device 120 based on the following formula.

[0055] [Number] P i …Remaining power storage amount of the power storage device 120 at time i P0…Remaining power storage amount of the power storage device 120 at the current time G n …Predicted result of the power generation at time i C n …Predicted result of the power consumption at time i

[0056] The remaining available operation time can be specified as the time when P i ≧0 is satisfied. In other words, the remaining available operation time is the time until P i ≦0.

[0057] (Power management method) Hereinafter, the power management method according to the embodiment will be described. Here, the operation of the EMS 150 will be mainly described.

[0058] As shown in FIG. 7, in step S11, the EMS 150 determines whether a power outage has occurred in the facility 100. When a power outage has occurred, the EMS 150 executes the process of step S12. When no power outage has occurred, the EMS 150 continues to monitor whether a power outage has occurred.

[0059] In step S12, EMS150 acquires the measurement result of the measuring device 131 from the measuring device 131. Here, a case where the measurement result is acquired for each sampling period is exemplified.

[0060] In step S13, EMS150 determines whether the first condition is satisfied. When the first condition is satisfied, EMS150 executes the process of step S14. When the first condition is not satisfied, EMS150 executes the process of step S15.

[0061] In step S14, EMS150 executes a first process of classifying time-series data into first time-series data and second time-series data. Based on the second time-series data, EMS150 executes a second process of predicting the power consumption of the load device 140 (second load device) connected to the power socket 130. EMS150 may execute a third process of specifying the remaining available operation time of the power storage device 120 based on the prediction result of the power consumption and the remaining power storage amount of the power storage device 120.

[0062] In step S15, without classifying the first time-series data and the second time-series data, EMS150 predicts the power consumption of the load device 140 connected to the power socket 130 based on the time-series data. EMS150 may specify the remaining available operation time of the power storage device 120 based on the prediction result of the power consumption and the remaining power storage amount of the power storage device 120.

[0063] In step S16, EMS150 determines whether the power outage of the facility 100 continues. When the power outage of the facility 100 continues, EMS150 executes the process of step S17. When the power outage of the facility 100 does not continue, EMS150 ends the series of processes.

[0064] In step S17, EMS150 executes the preparation for acquiring the next measurement result. For example, EMS150 adds 1 to the parameter n that specifies the measurement result.

[0065] (Function and Effect) In an embodiment, when the time-series data satisfies a first condition, the EMS 150 executes a first process of dividing the time-series data into first time-series data before the first condition is satisfied and second time-series data after the first condition is satisfied. In a scenario where the first time-series data corresponds to a first load device and the second time-series data corresponds to a second load device, the EMS 150 executes a second process of predicting the power consumption of the second load device based on the second time-series data. According to such a configuration, when the power consumption of the load device 140 connected to the power socket 130 changes, the EMS 150 predicts the power consumption based on the second time-series data without referring to the first time-series data. Therefore, the EMS 150 can appropriately predict the power consumption at an early timing.

[0066] In an embodiment, the EMS 150 may execute a third process of specifying the remaining operable time of the power storage device 120 based on the prediction result of the power consumption and the remaining power storage amount of the power storage device 120. According to such a configuration, the EMS 150 can provide useful information to the user of the facility 100 when considering the usage plan of the load device 140 in a disconnected state (such as a power outage state) where power is not supplied from the power grid 12.

[0067] [Modification Example 1] Hereinafter, Modification Example 1 of the embodiment will be described. In Modification Example 1, the differences from the above-described embodiment will be mainly described.

[0068] In Modification Example 1, consider a case where the load device 140 connected to the power socket 130 performs intermittent operation. Examples of the intermittent operation include, for example, the operation of a refrigerator to keep the temperature inside the refrigerator at the target temperature, and the operation of an air conditioner to keep the indoor temperature at the target temperature.

[0069] In such a case, even when the first condition is satisfied in the first process, if the time-series data satisfies the second condition, the EMS150 determines that the time-series data corresponds to one load device without dividing the time-series data. The second condition is that the time-series data includes a time interval of a measurement result corresponding to the first power, a time interval of a measurement result corresponding to a second power different from the first power, and a time interval of a measurement result corresponding to the first power.

[0070] For example, as shown in FIG. 8, consider a case where the power consumption of the load device 140 varies between PPWh and QQWh. Here, the time interval of PPWh is referred to as the PP interval, and the time interval of QQWh is referred to as the QQ interval. That is, consider the case where the PP interval of PPWh and the QQ interval of QQWh are repeated. PPWh and QQWh may be power consumptions having a predetermined variation range.

[0071] When the power consumption of the load device 140 decreases from PPWh to QQWh, the EMS150 divides the time-series data into first time-series data and second time-series data. However, when the power consumption of the load device 140 increases from QQWh to PPWh, since the time-series data includes the PP interval and the QQ interval, the EMS150 determines that the second condition is satisfied. That is, for the time-series data that has been divided into the first time-series data and the second time-series data, the EMS150 treats it as time-series data corresponding to one load device without dividing it into the first time-series data and the second time-series data. Therefore, the EMS150 predicts the power consumption of the load device 140 connected to the power socket 130 based on PPWh, the PP interval, QQWh, and the QQ interval. Note that the EMS150 may determine that the second condition is satisfied when the PP interval and the QQ interval are alternately repeated a predetermined number of times. Also, when the EMS150 determines that the second condition is satisfied and the first process has already been executed, it may cancel the first process and change to treat the first time-series data and the second time-series data as one time-series data.

[0072] Furthermore, the EMS 150 limits the power supplied from the power socket 130 to the load device 140 in a time interval longer than the time interval of the measurement result corresponding to the smaller of the first power and the second power.

[0073] For example, in the case shown in FIG. 8, the EMS 150 limits the power supplied from the power socket 130 to the load device 140 in a time interval longer than the QQ interval. The power limit may be a limit that suppresses the power consumption (PP Wh) of the load device 140 to QQ Wh by extending the QQ interval. The power limit may be a limit that suppresses the power consumption of the load device 140 to a predetermined power smaller than QQ Wh. The predetermined power may include 0 Wh.

[0074] Note that in FIG. 8, a case where the time-series data starts from the PP interval of PP Wh is illustrated, but the same processing can be applied even in a case where the time-series data starts from the QQ interval of QQ Wh.

[0075] (Power management method) Hereinafter, the power management method according to Modification 1 will be described. Here, the operation of the EMS 150 will be mainly described. In FIG. 9, the same processing as in FIG. 7 is assigned the same step numbers. The description of the same processing as in FIG. 7 will be omitted.

[0076] As shown in FIG. 9, in step S21, the EMS 150 determines whether or not the second condition is satisfied. When the second condition is satisfied, the EMS 150 executes the process of step S15. When the second condition is not satisfied, the EMS 150 executes the process of step S14.

[0077] That is, after the first condition is satisfied, when the second condition is satisfied, in step S15, the EMS 150 predicts the power consumption of the load device 140 connected to the power socket 130 based on the time-series data without distinguishing between the first time-series data and the second time-series data.

[0078] On the one hand, after the first condition is satisfied, if the second condition is not satisfied, in step S14, the EMS150 classifies the first time-series data and the second time-series data, and predicts the power consumption of the load device 140 connected to the power socket 130 based on the second time-series data.

[0079] (Function and Effect) In Modification Example 1, even when the first condition is satisfied, if the time-series data satisfies the second condition, the EMS150 predicts the power consumption based on the time-series data without classifying the first time-series data and the second time-series data. According to such a configuration, even when intermittent operation of the load device 140 is assumed, the power consumption of the load device 140 can be appropriately predicted.

[0080] [Modification Example 2] Hereinafter, Modification Example 2 of the embodiment will be described. In Modification Example 2, the differences from the above-described embodiment will be mainly described.

[0081] In Modification Example 2, consider a method of predicting the power consumption of the second load device based on the second time-series data in a case where the second time-series data (power consumption of the second load device) is not further divided into separate time-series data (that is, a case where the second time-series data does not further satisfy the first condition described above).

[0082] Specifically, in the second process, the EMS150 predicts the power consumption of the second load device based on a value with a large offset with respect to the average value (hereinafter also referred to as Ave) of the second time-series data. The offset may be considered as a margin added to the average value of the second time-series data (power consumption of the second load device). The offset may be represented by an absolute value added to the average value, or may be represented by a ratio multiplied by the average value. As a method for calculating the offset, the following methods can be considered.

[0083] First, as shown in FIG. 10, the offset may be calculated based on the difference ΔW between the average value and the mode value of the second time-series data. In such a case, the offset may be represented by C·ΔW. C is a predetermined coefficient. That is, EMS150 predicts the power consumption based on Ave + C·ΔW. Specifically, the power consumption is predicted assuming that Ave + C·ΔW continues.

[0084] Second, as shown in FIG. 11, the offset may be calculated based on the confidence interval of the second time-series data. The confidence interval is an interval of data having a predetermined confidence level (for example, a 95% confidence level). In the case where the minimum value of the 95% confidence interval of the power consumption is W1 and the maximum value is W2, the offset may be represented by C·(W2 - Ave). C is a predetermined coefficient. That is, EMS150 predicts the power consumption based on Ave + C·(W2 - Ave). Specifically, the power consumption is predicted assuming that Ave + C·(W2 - Ave) continues.

[0085] Third, as shown in FIG. 12, the offset may be associated with the range of past power consumption. For example, when the average value of the second time-series data is in the range of 1501 Wh to 2000 Wh, 150 Wh may be used as the offset. Similarly, when the average value of the second time-series data is in the range of 501 Wh to 1000 Wh, 50 Wh may be used as the offset.

[0086] In Modification 2, a case of predicting the power consumption of the second load device based on the second time-series data is illustrated. However, Modification 2 is not limited thereto. Modification 2 may be applied to a case of predicting the power consumption of the load device 140 based on the time-series data. In such a case, the second time-series data may be read as the time-series data.

[0087] (Operation and Effect) In Modification Example 2, in the second process, EMS150 predicts the power consumption of the second load device based on a value with a large offset with respect to the average value of the second time-series data. According to such a configuration, when assuming a case where the power consumption of the second load device fluctuates, in order to predict the power consumption of the second load device as a larger power consumption, it is possible to suppress a situation where the remaining charge amount of the power storage device 120 falls below the threshold at a timing earlier than that assumed by the user of the facility 100.

[0088] [Modification Example 3] Hereinafter, Modification Example 3 of the embodiment will be described. In Modification Example 3, the differences from the above-described embodiment will be mainly described.

[0089] In Modification Example 3, the operation of EMS150 will be described while referring to the UI (User Interface) for the user of the facility 100. The UI may be an image displayed on the display of EMS150, or may be an image displayed on the display of a terminal capable of communicating with EMS150. The display may be configured by a touch panel. Regardless of which device's display the UI is displayed on, EMS150 may execute display control regarding the UI.

[0090] Hereinafter, a case where two or more power sockets 130 (Power Socket 1, Power Socket 2, Power Socket 3, and Power Socket DC) are installed in the facility 100 as the power socket 130 will be exemplified. Power Sockets 1 to 3 are power sockets that supply AC power to the load device 140 (for example, the power sockets 130A and 130B shown in FIG. 2), and Power Socket DC is a power socket that supplies DC power to the load device 140 (for example, the power socket 130X shown in FIG. 2). As the UI, the UI shown in FIG. 13 will be described as an example.

[0091] First, the UI may include an image (in FIG. 13, "Re-acquisition of data") for inputting a user command to cause the measurement device 131 to acquire the measurement result by the EMS 150. The EMS 150 may execute the first process and the second process based on the user command. The EMS 150 may execute the third process based on the user command. Note that the EMS 150 may acquire the measurement result of the measurement device 131 before the user command, or may acquire it based on the user command.

[0092] Second, the UI may include an image (in FIG. 13, "1-hour consumption prediction", "3456 Wh") indicating the total power consumption of the load devices 140 connected to each power socket 130. The UI may include an image (in FIG. 13, "Remaining amount 8334 Wh") indicating the remaining charge amount of the power storage device 120. The UI may include an image (in FIG. 13, "Power socket 1", "1893 Wh", "Power socket 2", "459 Wh", "Power socket 3", "879 Wh", "Power socket DC", "225 Wh") indicating the power consumption of the load devices 140 connected to each power socket 130. The UI may include an image (in FIG. 13, the graph displayed to the right of the name of each power socket and the power consumption) indicating the past actual power consumption performance.

[0093] Third, the UI may include an image (in FIG. 13, "Prediction of remaining available time", "After 2.2 to 2.7 hours") indicating the remaining available operation time. The remaining available operation time may be represented as having a certain time range. The UI may include an image (in FIG. 13, "During power outage", "1 hour remaining") indicating the power outage duration of the facility 100. That is, the EMS 150 executes control to display the remaining available operation time and the power outage duration.

[0094] The EMS 150 may predict the total power consumption of the entire facility 100 based on the following formula. Specifically, the EMS 150 predicts the minimum value C for the total power consumption of the entire facility 100 all_min as C all_min =C 1_min +C 2_min +C 3_min +C dc_min according to the formula. C1_min , C 2_min , C 3_min and C dc_min is the minimum value of the time - series data (or the second time - series data if the time - series data is segmented) related to Power Socket 1, Power Socket 2, Power Socket 3, and Power Socket DC. Similarly, EMS150 is the predicted maximum value result C all_max for C all_max = C 1_max + C 2_max + C 3_max + C dc_max and may be calculated according to the formula. C 1_max , C 2_max , C 3_max and C dc_max is the maximum value of the time - series data (or the second time - series data if the time - series data is segmented) related to Power Socket 1, Power Socket 2, Power Socket 3, and Power Socket DC. The fixed time width representing the remaining available operation time may be defined by the predicted result C all_min (for example, 2.2 Wh) and the predicted result C all_max (for example, 2.7 Wh).

[0095] EMS150 may identify the power outage duration based on the information regarding the power outage of facility 100 (for example, the planned power outage information, power outage impact information, etc. mentioned above). For example, when the planned power outage information includes information indicating the time period during which the planned power outage occurs, EMS150 may identify the power outage duration based on the time period during which the planned power outage occurs. Alternatively, EMS150 may identify the cause level of the power outage based on the power outage impact information, and identify the power outage duration based on the identified cause level. For example, when the power outage impact information includes at least any one of a heavy rain special warning and flood occurrence information, assuming the cause level is level 4, EMS150 may identify the power outage duration assuming that the power outage continues for two days. When the power outage impact information includes at least any one of landslide disaster warning information and flood risk information, assuming the cause level is level 3, EMS150 may identify the power outage duration assuming that the power outage continues for one day. When the power outage impact information includes at least any one of a heavy rain warning, flood warning, and flood alert information, assuming the cause level is level 2, EMS150 may identify the power outage duration assuming that the power outage continues for 0.5 days. When the power outage impact information includes at least any one of flood caution information, heavy rain caution information, and flood caution information, assuming the cause level is level 1, EMS150 may identify the power outage duration as unknown assuming that the power outage is of a short duration.

[0096] When the power outage duration of facility 100 is longer than the remaining operable time of the energy storage device 120, EMS150 may execute a fourth process of restricting the power consumption of the load equipment 140. In other words, EMS150 restricts the power consumption of the load equipment 140 in order to continue the power supply to the load equipment 140 until the power outage duration expires.

[0097] For example, in the fourth process, EMS150 may set the time to stop power supply from at least one power socket 130 to the load device 140. Based on the set time, EMS150 may automatically set the power supply available time to a timer described later. EMS150 may select the power socket 130 to stop power supply based on the priority of the power socket 130. Alternatively, in the fourth process, when EMS150 can obtain information about the load device 140 (for example, the operation mode, etc.), it may change the operation mode of the load device 140 to an operation mode with lower power consumption than the current operation mode.

[0098] In such a case, EMS150 may execute the fourth process after a certain time has elapsed since the timing when the facility 100 was disconnected from the power grid 12. In other words, EMS150 may not execute the fourth process in the case of an instantaneous power outage.

[0099] Fourthly, the UI may include an image indicating the target continuous time for continuing power supply to the load device 140 in the facility 100 (in FIG. 13, "target time", "2.2 hours later"). The target continuous time may be read as the target operation time for continuing the operation of the energy storage device 120. The UI may include an image used for setting the target continuous time (in FIG. 13, "▲", "reset"). For example, by selecting or pressing "▲", the target continuous time may increase by 0.1 hour each time. By selecting or pressing "reset", the target continuous time may be reset.

[0100] When the target continuous time is longer than the remaining available operation time of the energy storage device 120, EMS150 may execute a fifth process to limit the power consumption of the load device 140. In other words, EMS150 limits the power consumption of the load device 140 to continue power supply to the load device 140 until the target continuous time expires.

[0101] For example, in the fifth process, the EMS 150 may set the time to stop power supply from at least one power socket 130 to the load device 140. The EMS 150 may automatically set the power supply available time to a timer (to be described later) based on the set time. The EMS 150 may select the power socket 130 to stop power supply based on the priority of the power socket 130. Alternatively, in the fifth process, when the EMS 150 can obtain information about the load device 140 (for example, the operation mode, etc.), the operation mode of the load device 140 may be changed to an operation mode with lower power consumption than the current operation mode.

[0102] Fifthly, the UI includes an image (in FIG. 13, "Timer - minutes", "Timer 15 minutes", "Timer 10 minutes") showing the remaining time of a timer that can set the power supply time for continuously supplying power from the power socket 130 to the load device 140. The UI may include images (in FIG. 13, "▲", "reset") used for setting the power supply time. Such a timer may be provided for each power socket 130. The EMS 150 stops the power supply from the power socket 130 where the timer has expired to the load device 140 in response to the expiration of the timer. For example, the power supply time set for the timer may increase by 1 minute each time "▲" is selected or pressed. The power supply time set for the timer may be reset each time "reset" is selected or pressed.

[0103] When the target continuous time is longer than the remaining available operation time of the power storage device 120, the EMS 150 may shorten the power supply time set for the timer. For example, in the case shown in FIG. 13, the time of the timer corresponding to power socket 2 may be shortened from 15 minutes to 9 minutes, and the time of the timer corresponding to power socket DC may be shortened from 10 minutes to 3 minutes.

[0104] Sixth, the UI may include an image used for setting the priority regarding the power supply of the power socket 130 (in FIG. 13, the "▲" displayed on the left side of the name of each power socket). Although not particularly limited, the higher the position of the display, the higher the priority of the power socket 130 may be. Alternatively, the UI may include an image indicating the priority of the power socket 130. For example, by selecting or pressing "▲", the priority of the power socket 130 is changed to one higher level. Specifically, by selecting or pressing "▲" corresponding to the power socket 2, the display related to the power socket 2 may move above the display related to the power socket 3. In response to such an operation, the EMS 150 sets the priority regarding the power supply from the power socket 130 to the load device 140 for each power socket 130.

[0105] (Function and Effect) In Modification 3, the EMS 150 performs display control regarding the UI including various information. According to such a configuration, the EMS 150 can provide useful information to the user of the facility 100 when considering the usage plan of the load device 140 in a disconnected state (such as a power outage state) where power is not supplied from the power grid 12.

[0106] In Modification 3, when the power outage duration of the facility 100 is longer than the remaining available operation time of the energy storage device 120, the EMS 150 may execute a fourth process of restricting the power consumption of the load device 140. According to such a configuration, it is possible to support the continuous use of the load device 140 with the minimum necessary until the expiration of the power outage duration.

[0107] In Modification 3, when the target duration is longer than the remaining available operation time of the energy storage device 120, the EMS 150 may execute a fifth process of restricting the power consumption of the load device 140. According to such a configuration, it is possible to support the continuous use of the load device 140 with the minimum necessary until the expiration of the target duration.

[0108] [Other Embodiments] Although the present invention has been described by the above-described embodiments, the discussions and drawings that form part of this disclosure should not be construed as limiting the invention. Various alternative embodiments, examples, and operational techniques will be apparent to those skilled in the art from this disclosure.

[0109] Although not particularly mentioned in the above disclosure, when the facility 100 is an apartment building or the like, the power sockets 130 may be installed in separate houses. A usage mode in which two or more load devices 140 are connected to one power socket 130 may be assumed.

[0110] Although not particularly mentioned in the above disclosure, the EMS 150 may identify the types of load devices 140 connected to the power sockets 130 by learning the past power consumption records. The learning may be machine learning or deep learning represented by AI (Artificial Intelligence).

[0111] In the above disclosure, the case where the power generation device installed in the facility 100 is the solar power generation device 110 has been exemplified. However, the embodiment is not limited to this. The power generation device may be one or more power generation devices selected from a fuel cell device, a wind power generation device, a hydro power generation device, a geothermal power generation device, and a biomass power generation device.

[0112] In the above disclosure, the case where the EMS 150 is provided in the facility 100 has been exemplified. However, the above disclosure is not limited to this. The EMS 150 may be provided by a cloud service realized by a server or the like provided on the network 11.

[0113] Although not particularly mentioned in the above disclosure, the power may be an instantaneous value (W / kW) or an integrated value per unit time (Wh / kWh).

[0114] The above disclosure may have the following problems and effects.

[0115] Specifically, in the self - operation state where the facility 100 is disconnected from the power grid 12 due to reasons such as a power outage, a case where the load device 140 connected to the power socket 130 installed in the facility 100 is changed to a different load device 140 can be considered. For example, such cases include cases where the user checks the remaining available operation time of the power storage device 120 for various load devices 140, and cases where the load device the user wants to use changes. As a result of intensive studies, the inventors have found the necessity to quickly identify the power consumption of the load device connected to the power socket when assuming a case where different load devices are connected to the power socket.

[0116] To solve such problems, in the above - described disclosure, the EMS 150 executes a second process of predicting the power consumption of the second load device based on the second time - series data, assuming that the first time - series data corresponds to the first load device and the second time - series data corresponds to the second load device. According to such a configuration, the effect of being able to quickly identify the power consumption of the load device 140 connected to the power socket 130 can be achieved.

Description of Reference Numerals

[0117] 1…Power management system, 11…Network, 12…Power grid (power grid), 100…Facility (facility), 110…Solar power generation device (power generation device), 120…Power storage device (power storage device), 130…Power socket (power socket), 131…Measurement device (measurement device), 140…Load device (load device), 150…EMS (power management device), 151…First communication unit (reception unit), 152…Second communication unit (acquisition unit), 153…Control unit (control unit), 160…Measurement device, 161…Measurement device, 162…Measurement device, 200…Power management server, 300…External server

Claims

1. An acquisition unit that acquires the measurement result of the measurement device as time-series data from a measurement device that measures the power supplied from a power socket installed in a facility to a load device at a predetermined cycle; A control unit that executes a first process of classifying the time-series data into first time-series data before the first condition is satisfied and second time-series data after the first condition is satisfied when the time-series data satisfies the first condition; and The control unit executes a second process of predicting the power consumption of the second load device based on the second time-series data on the assumption that the first time-series data corresponds to a first load device and the second time-series data corresponds to a second load device. The first condition is that the difference between the measurement result of the nth (n is an integer of 1 or more) measurement result and the measurement result of n + x (x is an integer of 2 or more) is equal to or greater than a predetermined difference. A power management device.

2. The control unit according to claim 1, which executes a third process of specifying the remaining operable time of the power storage device based on the prediction result of the power consumption of the second load device and the remaining power storage amount of the power storage device installed in the facility.

3. The power management device according to claim 1, wherein the control unit executes the first process and the second process based on a user command.

4. In the first process, the control unit determines that the time-series data corresponds to time-series data of one load device without classifying the time-series data even when the first condition is satisfied and the time-series data satisfies a second condition. The second condition is that the time-series data includes a time interval corresponding to a measurement result corresponding to a first power, a time interval corresponding to a second power different from the first power, and a time interval corresponding to the measurement result corresponding to the first power. The power management device according to claim 1.

5. The power management device according to claim 4, wherein the control unit restricts the power supplied from the power socket to the load device in a time interval longer than the time interval corresponding to the measurement result corresponding to the smaller of the first power and the second power.

6. The power management device according to claim 1, wherein the control unit executes the first process in a state where the facility is disconnected from the power grid.

7. The power management device according to claim 1, wherein in the second process, the control unit predicts the power consumption of the second load device based on a value with a large offset with respect to the average value of the second time-series data.

8. In the third process, the control unit specifies the remaining available operation time of the power storage device based on the predicted result of the power consumption of the second load device, the remaining power storage amount of the power storage device, and the predicted result of the power generation of the power generation device installed in the facility. The power management device according to claim 2.

9. When two or more power sockets are installed, each power socket is provided with a timer capable of setting the power supply time for continuously supplying power from the power socket to the load device. The control unit stops the power supply from the power socket for which the timer has expired to the load device in response to the expiration of the timer. The power management device according to claim 1.

10. A receiving unit that receives information regarding a power outage in the facility is provided. The control unit executes control to display the power outage duration of the facility and the remaining available operation time of the power storage device. The power management device according to claim 2.

11. The control unit specifies the power outage duration of the facility based on the information regarding the power outage in the facility. The power management device according to claim 10.

12. When the power outage duration of the facility is longer than the remaining available operation time of the power storage device, the control unit executes a fourth process of restricting the power consumption of the load device. The power management device according to claim 10.

13. The control unit executes the fourth process after a certain period of time has elapsed since the timing when the facility was disconnected from the power grid. The power management device according to claim 12.

14. When the target continuous power supply time for continuously supplying power to the load device in the facility is longer than the remaining available operation time of the power storage device installed in the facility, the control unit executes a fifth process of restricting the power consumption of the load device. The power management device according to claim 2.

15. When two or more power sockets are installed, the control unit sets the priority for the power supply from the power socket to the load device for each power socket. The power management device according to claim 1.

16. When the target continuous power supply time for continuously supplying power to the load device in the facility is longer than the remaining available operation time of the power storage device installed in the facility, the control unit shortens the power supply time set in the timer. The power management device according to claim 9.

17. A step of obtaining the measurement result of the measurement device as time-series data from a measurement device that measures the power supplied from a power socket installed in a facility to a load device at a predetermined cycle; When the time-series data satisfies a first condition, a first process of classifying the time-series data into first time-series data before the first condition is satisfied and second time-series data after the first condition is satisfied is executed; In the assumption that the first time-series data corresponds to a first load device and the second time-series data corresponds to a second load device, a second process of predicting the power consumption of the second load device based on the second time-series data is executed, and The first condition is that the difference between the measurement result of the nth (n is an integer of 1 or more) and the measurement result of n+x (x is an integer of 2 or more) is equal to or more than a predetermined difference, a power management method.

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