Load curve management system, power distribution system management system and program

Abstract

To provide a road curve management system capable of reducing processing load of monitoring and controlling a distribution system using measured values of power amounts of consumers.SOLUTION: A road curve management system comprises: a power factor replacement unit 14 for calculating power factor by using measured values of electric energy of consumers measured by smart meters 6 connected to each range of a distribution line partitioned by a sensor switch 8; and a current apportionment unit 15 for calculating active current and reactive current in the sensor switch 8 by using the power factor calculated by the power factor replacement unit 14 and the current measured by the sensor switch 8, calculating the active current at each point by proportionally dividing the active current corresponding to the range calculated from the active current in the sensor switch 8 by using the measured value at each point of the range, and calculating the reactive current at each point by proportionally dividing the reactive current corresponding to the range calculated from the reactive current in the sensor switch 8 by using the measured value at each point of the range.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present disclosure relates to a load curve management system, a distribution system management system, and a program for determining current distribution in a distribution system. [Background technology]

[0002] Sensor switches, which are switches with measurement functions, are being increasingly introduced into power distribution systems, and various types of monitoring and control are being carried out, such as monitoring whether the values ​​measured by the sensor switches fall within acceptable ranges and voltage control using the measured values.

[0003] In recent years, smart meters, which are measuring devices for automatically reading the amount of electricity consumed by consumers, have become increasingly popular. The use of measured values ​​obtained by smart meters for monitoring and controlling distribution systems is also being considered. Patent Document 1 discloses a distribution system monitoring system that estimates the voltage in a high-voltage distribution line by power flow calculation using the total values ​​of the amount of electricity and power factor collected by each smart meter, the amount of electricity and voltage measured by measuring instruments in a distribution substation, and the impedance of the high-voltage distribution line. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Laid-Open No. 2014-233154 Summary of the Invention [Problem to be solved by the invention]

[0005] The power distribution system monitoring system described in Patent Document 1 requires power flow calculations to determine voltage. Power flow calculations take time to process and may not converge, making it impossible to calculate a solution. For this reason, it is desirable to reduce the processing load of monitoring and controlling power distribution systems that use measured values ​​of power consumption from consumers.

[0006] The present disclosure has been made in consideration of the above, and aims to provide a load curve management system that can reduce the processing load of monitoring and controlling a distribution system using measured values ​​of electricity consumption by consumers. [Means for solving the problem]

[0007] In order to solve the above-mentioned problems and achieve the object, a load curve management system according to the present disclosure includes a power factor calculation unit that calculates a power factor for each range of a distribution line separated by sensor switches that measure the voltage, current, and power factor of the distribution line using measured values ​​of the amount of electric energy of consumers measured by metering devices connected to the range. The load curve management system further includes a current allocation unit that calculates an active current and a reactive current at the sensor switch using the power factor calculated by the power factor calculation unit and the current measured by the sensor switch, and calculates, for each range, the active current at each point by proportionally dividing the active current corresponding to the range calculated from the active current at the sensor switch to each point using the measured values ​​at each point in the range, and calculates the reactive current at each point by proportionally dividing the reactive current corresponding to the range calculated from the reactive current at the sensor switch to each point using the measured values ​​at each point in the range. [Effects of the Invention]

[0008] The load curve management system according to the present disclosure has the effect of reducing the processing load of monitoring and controlling a power distribution system using measured values ​​of electric energy of consumers. [Brief explanation of the drawings]

[0009] [Figure 1] FIG. 1 is a diagram illustrating a configuration example of a power distribution system management system according to a first embodiment; [Figure 2] FIG. 1 is a diagram for explaining the concept of the allocation process according to the first embodiment. [Figure 3] 1 is a flowchart showing an example of a processing procedure in a load curve management system according to a first embodiment. [Figure 4] FIG. 1 is a diagram showing an example of extending the apportionment range according to the first embodiment; [Figure 5] FIG. 10 is a diagram showing an example of missing measurement value complementation according to the first embodiment. [Figure 6] FIG. 1 is a diagram showing an example of power factor substitution according to the first embodiment; [Figure 7] 1 is a flowchart showing an example of a processing procedure in a current apportionment unit according to the first embodiment. [Figure 8] FIG. 10 is a diagram for explaining processing in a current apportionment unit according to the first embodiment; [Figure 9] FIG. 10 is a diagram for explaining a method for calculating a current distribution according to the first embodiment when temporary switching occurs. [Figure 10] FIG. 1 is a diagram showing an example of the configuration of a computer system that realizes a load curve management system according to a first embodiment. [Figure 11] FIG. 10 is a diagram illustrating a configuration example of a power distribution system management system according to a second embodiment. [Figure 12] FIG. 10 is a diagram showing an example of calculation of a maximum value by a first method according to the second embodiment; [Figure 13] FIG. 10 is a diagram showing an example of calculation of a maximum value by a second method according to the second embodiment; DETAILED DESCRIPTION OF THE INVENTION

[0010] A load curve management system, a power distribution system management system, and a program according to embodiments will be described in detail below with reference to the accompanying drawings.

[0011] Embodiment 1 1 is a diagram illustrating an example of the configuration of a power distribution system management system according to a first embodiment. The power distribution system management system 5 of this embodiment includes a load curve management system 1, a power distribution business comprehensive support system 2, and a power distribution line monitoring and control system 3. The power distribution system management system 5 manages the power distribution system by monitoring and controlling the power distribution system to be managed.

[0012] The power distribution business comprehensive support system 2 comprehensively manages information on the distribution systems that it manages and supports the coordination of information within the power distribution system management system 5. The power distribution business comprehensive support system 2 acquires and stores information on the distribution system, such as facility information, system information, and contract information, from other devices (not shown) or by input from an operator. The facility information is information that indicates the connection position and type of each piece of equipment, such as distribution equipment and power generation equipment, in the distribution system. The system information is information that indicates the system configuration, etc. The contract information is information that indicates the power contract of a consumer who receives power from the distribution system, and includes information such as the contracted power and the connection position of a smart meter (abbreviated as SM in the figure) 6.

[0013] The power distribution business comprehensive support system 2 also acquires various measurement values ​​in the power distribution system. For example, the power distribution business comprehensive support system 2 acquires switch measurement data, which is measurement data measured by a sensor switch 8, via the power distribution line monitoring and control system 3, and acquires SM measurement values, which are measurement values ​​of a smart meter 6, via a smart meter management system (abbreviated as SM management system in the figure) 4. The switch measurement data and SM measurement values ​​will be described later. The power distribution business comprehensive support system 2 transmits facility information, system information, contract information, switch measurement data, and SM measurement values ​​to the load curve management system 1.

[0014] As shown in FIG. 1 , the power distribution business comprehensive support system 2 includes a receiving unit 21, a storage unit 22, and a transmitting unit 23. The receiving unit 21 stores information received from other devices in the storage unit 22. For example, the receiving unit 21 stores SM metered values ​​received from the smart meter management system 4 and switch measurement data received from the distribution line monitoring and control system 3 in the storage unit 22. Furthermore, when there is equipment information, grid information, and contract information to be received from other devices (not shown), the receiving unit 21 receives the information and stores it in the storage unit 22. Furthermore, the receiving unit 21 stores current distribution information received from the load curve management system 1 in the storage unit 22 as current distribution information. The transmitting unit 23 transmits the information stored in the storage unit 22 to other devices. For example, the transmitting unit 23 transmits the equipment information, grid information, contract information, switch measurement data, and SM metered values ​​to the load curve management system 1. For example, when the information stored in the storage unit 22 is updated, the transmitting unit 23 transmits the updated information to the load curve management system 1.

[0015] The load curve management system 1 calculates the current distribution in the power distribution system using the equipment information, system information, contract information, switch measurement data, and SM metered values ​​received from the power distribution business support system 2, and transmits the calculated current distribution to the power distribution line monitoring and control system 3. Note that while FIG. 1 illustrates an example in which the load curve management system 1 receives the equipment information, system information, contract information, switch measurement data, and SM metered values ​​from the power distribution business support system 2, the load curve management system 1 may receive at least some of these information from a device other than the power distribution business support system 2. For example, the load curve management system 1 may receive at least one of the equipment information, system information, and contract information from another device (not shown). Furthermore, for example, the load curve management system 1 may receive the switch measurement data from the power distribution line monitoring and control system 3 or from the sensor switch 8. Furthermore, for example, the load curve management system 1 may receive the SM metered values ​​from the smart meter management system 4. Details of the load curve management system 1 will be described later.

[0016] The distribution line monitoring and control system 3 monitors and controls the voltage in the distribution system. For example, the distribution line monitoring and control system 3 determines the voltage drop (amount of voltage drop) using the current distribution received from the load curve management system 1, determines the voltage in the distribution system using the voltage drop and switch measurement data received from the sensor switch 8, monitors whether the voltage deviates from an appropriate range, and controls each voltage controller (not shown) in the distribution system so that the voltage remains within the appropriate range. The distribution line monitoring and control system 3 also transmits the switch measurement data to the power distribution business comprehensive support system 2.

[0017] The sensor switch 8, also known as a sensor-equipped switch, is installed in a high-voltage (for example, 6600V) distribution line in a power distribution system and has a measurement function as well as a function to open and close the distribution line. The sensor switch 8 measures the voltage, current (apparent current), and power factor in the distribution line, and transmits the measured data, which is switch measurement data, to the power distribution line monitoring and control system 3. The switch measurement data includes the measurement result, identification information of the sensor switch 8, and the corresponding time (the time of measurement or the time of transmission).

[0018] The smart meter management system 4 receives SM metered values ​​from the smart meters 6 and transmits the received SM metered values ​​to the power distribution business comprehensive support system 2. The smart meters 6 are metering devices that measure the amount of electricity consumed by consumers for automatic meter reading. Consumers in which smart meters 6 are installed include at least one of high-voltage consumers and low-voltage consumers. High-voltage consumers are consumers that receive high-voltage electricity, and low-voltage consumers are consumers that receive electricity that has been converted to low voltage (for example, a voltage level of 100V to 200V) by a transformer such as a pole-mounted transformer connected to a high-voltage distribution line. The SM metered values ​​of low-voltage consumers are aggregated by transformer. The smart meters 6 measure the amount of electricity consumed at each consumer's receiving point. In detail, the smart meter 6 measures the amount of active and reactive power at each consumer's power receiving point, for example, every 30 minutes, and transmits SM measurement values ​​including the measurement results of the active and reactive power, the identification information of the smart meter 6, and the time corresponding to the measurement values ​​to the smart meter management system 4.

[0019] Although two smart meters 6 and two sensor switches 8 are shown in FIG. 1, the number of each of the smart meters 6 and the sensor switches 8 is not limited to the example shown in FIG.

[0020] Next, the load curve management system 1 of this embodiment will be described in detail. As described above, the load curve management system 1 of this embodiment obtains the current distribution in the power distribution system. By using this current distribution, it is possible to calculate the amount of voltage drop ΔV by a simple voltage drop calculation shown in the following equation (1) without performing a power flow calculation. I represents the current, R represents the resistance component of the impedance, X represents the reactance component of the impedance, and cos θ represents the power factor. ΔV=√3×(I×cosθ×R+I×sinθ×X) …(1)

[0021] On the other hand, when calculating the current distribution, the points at which the sensor switch 8 measures are limited. Therefore, in order to grasp the current distribution in finer units, it is necessary to obtain the current at each point other than the point where the sensor switch 8 is installed. The load curve management system 1 of this embodiment uses the SM metered value to calculate the current at each point other than the point where the sensor switch 8 is installed (smart meters 6 of high-voltage consumers, transformers). In detail, the load curve management system 1 calculates the current value by dividing the SM metered value measured by the smart meter 6 by the voltage value of the sensor switch 8 nearest to the smart meter 6. If the absolute value of the difference between the sum of the current values ​​of the smart meters 6 present in the range between adjacent sensor switches 8 and the measurement value of the sensor switch 8 is equal to or less than a threshold, the calculated current value is used as is. If the absolute value of the difference between the sum of the current values ​​of the smart meters 6 present in the range between adjacent sensor switches 8 and the measurement value of the sensor switch 8 exceeds a threshold, the result of apportioning by the SM metered value is used as the current value. The threshold may be 0 or a small value other than 0.

[0022] FIG. 2 is a diagram for explaining the concept of the apportionment process of this embodiment. In the example shown in FIG. 2, sensor switches 8-1 to 8-4 are provided on distribution lines connected to a distribution transformer 7 provided in a distribution substation. All of the sensor switches 8-1 to 8-4 are the sensor switches 8 shown in FIG. 1. Smart meters 6-1 to 6-3 are connected between the sensor switch 8-1 and the sensor switch 8-2, smart meters 6-4 to 6-6 are connected between the sensor switch 8-2 ​​and the sensor switch 8-3, and smart meters 6-7 to 6-9 are connected between the sensor switch 8-3 and the sensor switch 8-4. All of the smart meters 6-1 to 6-9 are the smart meter 6 shown in FIG. 1. Although a transformer that converts voltage from high voltage to low voltage is not shown in FIG. 2, the smart meters 6-1 to 6-9 may be installed in high voltage consumers or in low voltage consumers. As shown in FIG. 2, each of the sensor switches 8-1 to 8-4 is shown by a different figure when it is in the "ON" or closed state and when it is in the "OFF" or open state.

[0023] In the example shown in Fig. 2, the measured voltage value (abbreviated as V in the figure) at sensor switch 8-2 ​​is 6500 [V], and the measured current value (abbreviated as I in the figure) at sensor switch 8-2 ​​is 250 [A]. The measured voltage value at sensor switch 8-3 is 6450 [V], and the measured current value at sensor switch 8-3 is 160 [A]. The values ​​obtained by converting the measured values ​​of smart meters 6-4 to 6-6 into power are 200 [kW], 400 [kW], and 300 [kW], respectively.

[0024] The load curve management system 1 calculates a current value of 17.8 A by dividing 200 kW, which corresponds to the SM metering value of smart meter 6-4, by √3, which is the voltage measurement value of 6500 V at the sensor switch 8-2 ​​immediately upstream of smart meter 6-4. Similarly, the current values ​​of smart meters 6-5 and 6-6 are 35.6 A and 26.7 A. The upper diagram in Figure 2 shows the current values ​​calculated in this way, i.e., the unproportionated current values.

[0025] In the example shown in FIG. 2, the difference in current value between the sensor switch 8-3 and the sensor switch 8-2 ​​is 90 [A], while the sum of the current values ​​of the smart meters 6-4 to 6-6 is 80.1 [A], so there is a difference between the two. If the threshold value is 0, then in this example, apportionment is required. For this reason, the load curve management system 1 of this embodiment apportions the current according to the following equation (2): I a is the measured value of the current of the sensor switch 8 at the upstream end in the range between adjacent sensor switches 8, and I b is the measured value of the current of the sensor switch 8 at the downstream end of the range, and P i is the value obtained by converting the amount of power of the i-th smart meter 6 within the range into power, and Σ indicates the sum of all smart meters 6 within the range. IS i indicates the current value after proportional distribution at the point corresponding to the i-th smart meter 6. IS i =(I a -I b )×P i ÷(ΣP i ) …(2)

[0026] For example, in the example shown in FIG. 2, if the smart meter 6-4 is the smart meter 6 with i=1, then (I a -I b ) is 90 [A], P1 in the above formula (2) is 200 [kW], and ΣP in the above formula (2) i is 200 [kW] + 400 [kW] + 300 [kW] = 900 [kW]. Therefore, IS1, the current value after allocation at the point corresponding to smart meter 6-4, is 20 [A]. Similarly, the current values ​​after allocation at the points corresponding to smart meters 6-5 and 6-6 are 40 [A] and 30 [A], respectively. The lower diagram in Figure 2 shows the current values ​​after allocation.

[0027] 2 has described the apportionment of the range between the sensor switch 8-2 ​​and the sensor switch 8-3, but similarly, for each range between adjacent sensor switches 8, the current value is calculated using the SM metered value, and apportionment is performed if necessary. The load curve management system 1 of this embodiment can determine the current distribution in the power distribution system by determining the current value at each point in this way. By using this current distribution and the above formula (1), the voltage distribution in the power distribution system can be calculated without performing a power flow calculation. Therefore, the load curve management system 1 of this embodiment can reduce the processing load of the monitoring and control of the power distribution system that uses the SM metered value, which is the measurement value of the amount of power consumed by the consumers.

[0028] Furthermore, when calculating the voltage at each point in the power distribution system using the above formula (1), if the power factor measured by the sensor switch 8 is used as cosθ, the measured value of this power factor includes line losses, resulting in an error in the calculation result of ΔV. Therefore, in this embodiment, the power factor calculated from the total value of all SM measurement values ​​present on the load side of that point is used, thereby eliminating the calculation error and improving the accuracy of ΔV. The method of calculating the power factor will be described in detail later.

[0029] Next, we will explain an example configuration of the load curve management system 1. As shown in Figure 1, the load curve management system 1 includes a receiving unit 11, a storage unit 12, an allocation range expansion unit 13, a power factor substitution unit 14, a current allocation unit 15, a transmitting unit 16, and a missing measurement value complement unit 17.

[0030] The receiver 11 receives facility information, system information, contract information, switch measurement data, and SM metered values ​​from the power distribution business support system 2, and stores the received facility information, system information, contract information, switch measurement data, and SM metered values ​​in the memory 12. As described above, the facility information, system information, contract information, switch measurement data, and SM metered values ​​are not limited to being transmitted from the power distribution business support system 2, and at least a part of this information may be transmitted from a device other than the power distribution business support system 2. In this case, the receiver 11 stores the information received from the other device in the memory 12.

[0031] When there is a missing value in the SM metric value stored in the storage unit 12, the metric missing value completion unit 17 performs missing value completion and reflects the completion result in the SM metric value in the storage unit 12. Details of missing value completion will be described later.

[0032] The allocation range extension unit 13 uses the switch measurement data stored in the memory unit 12 to determine whether or not there is a missing measurement in the switch measurement data, and if there is a missing measurement, extends the range for allocating the current described above and notifies the power factor substitution unit 14 of the extended range. The processing in the allocation range extension unit 13 will be described later.

[0033] The power factor substitution unit 14 is a power factor calculation unit that calculates a power factor for each range of the distribution line separated by the sensor switch 8 using the measurement values ​​(SM metered values) of the amount of electricity consumed by the consumers measured by the smart meters 6 connected to the range. In detail, the power factor substitution unit 14 substitutes the measurement values ​​of the power factors in the switch measurement data with power factors calculated using the SM metered values ​​using the facility information, contract information, and SM metered values ​​stored in the memory unit 12. If the allocation range is expanded, the power factor substitution unit 14 calculates the power factor using the SM metered values ​​in the expanded range. Details of the calculation method for the power factor calculated using the SM metered values ​​will be described later. The power factor substitution unit 14 also notifies the current allocation unit 15 of the expanded range notified by the allocation range expansion unit 13.

[0034] The current allocation unit 15 calculates the current value at each point in the distribution system using the equipment information, contract information, switch measurement data, and SM metered values ​​stored in the memory unit 12, and if allocation is necessary, performs the current allocation process as described above. If the allocation range is expanded, the current allocation unit 15 performs the allocation process using the switch measurement data and SM metered values ​​in the expanded range. The current allocation unit 15 outputs a current distribution indicating the current value at each point to the transmitter 16.

[0035] The transmitter 16 transmits the current distribution to the power distribution line monitoring and control system 3 and the power distribution business comprehensive support system 2. As described above, the power distribution line monitoring and control system 3 uses the current distribution to calculate ΔV according to the above formula (1), and monitors and controls the voltage of the power distribution system.

[0036] Next, the operation of this embodiment will be described. FIG. 3 is a flowchart showing an example of a processing procedure in the load curve management system 1 of this embodiment. As shown in FIG. 3, the load curve management system 1 receives data (step S1). Specifically, the receiving unit 11 receives SM metered values ​​and switchgear measurement data from the power distribution business integrated support system 2 and stores the received SM metered values ​​and switchgear measurement data in the storage unit 12. For example, the load curve management system 1 receives facility information, system information, and contract information once a day. The load curve management system 1 also receives the SM metered values ​​and switchgear measurement data for the previous day once a day, and performs the processing shown in FIG. 3 once a day. Note that the processing from step S2 onward is performed for each time slice. Note that, without being limited to this, when the facility information, system information, and contract information are updated, the receiving unit 11 may receive the updated information and update the information stored in the storage unit 12 with the received information. The SM metered values ​​and switchgear measurement data may be received periodically, at intervals shorter than one day.

[0037] Next, the load curve management system 1 expands the allocation interval (step S2). Specifically, the allocation range expansion unit 13 first determines whether the switch measurement data stored in the storage unit 12 contains missing data. Here, the distribution line monitoring and control system 3 determines whether the measurement data contains missing data, and stores missing data, such as blank or null, in one day's worth of switch measurement data. The missing data is not limited to blank or null. Alternatively, the distribution line monitoring and control system 3 may transmit information indicating the missing data along with the identification information of the sensor switch 8 and the corresponding time. Furthermore, when the load curve management system 1 receives switch measurement data from the sensor switch 8, the allocation range expansion unit 13 determines that the measurement data is missing if, for example, a certain amount of time has passed since the time when the switch measurement data should be periodically received from each sensor switch 8. When there is a missing measurement in the switch measurement data, the allocation range extension unit 13 extends the allocation range, which is the range in which the current is allocated. For example, 1 open When the range is set to extend to the second switch, which is the sensor switch 8 adjacent to the switch, if a measurement gap occurs in the second switch, the allocation range extension unit 13 extends the allocation range to include the sensor switch 8 that does not have a measurement gap. The power factor substitution unit 14 and the current allocation unit 15 use the allocation range after extension by the allocation range extension unit 13.

[0038] FIG. 4 is a diagram illustrating an example of extending the allocation range in this embodiment. The example shown in FIG. 4 illustrates an example in which the switch measurement data of the sensor switch 8-2 ​​is missing in a power distribution system similar to the example shown in FIG. 2. As illustrated in FIG. 2, current allocation is performed for each allocation range, which is the range between adjacent sensor switches 8. On the other hand, if the switch measurement data of the sensor switch 8 is missing, the current value based on the SM measurement value cannot be calculated using the above-described method. In the example shown in FIG. 4, the switch measurement data of the sensor switch 8-2 ​​is missing. Therefore, the current value based on the SM measurement value cannot be calculated using the above-described method for the allocation range between the sensor switch 8-1 and the sensor switch 8-2 ​​and the allocation range between the sensor switch 8-2 ​​and the sensor switch 8-3. For this reason, in this embodiment, the allocation range is extended from the sensor switch 8-1 to the sensor switch 8-3, as shown in FIG. 4. In this way, if there are missing measurements in the switch measurement data, the allocation range can be stored up to the sensor switch 8 for which switch measurement data is available, and the current value at each point can be calculated using the expanded allocation range, as in the example shown in Figure 2.

[0039] Returning to the explanation of FIG. 3, the load curve management system 1 performs missing measurement complement for the measurement value (SM measurement value) (step S3). In detail, when there is a missing measurement in the SM measurement value stored in the memory unit 12, the measurement value missing complement unit 17 performs missing measurement complement for the SM measurement value and reflects the complemented result in the SM measurement value in the memory unit 12. Here, it is assumed that the smart meter management system 4 determines that there is a missing SM measurement value, and stores the corresponding missing data in one day's worth of switch measurement data as information indicating the missing data, such as blank or null. The data indicating the missing data is not limited to blank or null. Alternatively, the smart meter management system 4 may transmit information indicating the missing data together with the identification information of the smart meter 6 and the corresponding time.

[0040] FIG. 5 is a diagram illustrating an example of missing measurement value complementation according to the present embodiment. In the example illustrated in FIG. 5, as shown in the diagram of the day in the lower part of FIG. 5, the SM measurement value of the smart meter 6-6 is missing in a power distribution system similar to the example illustrated in FIG. 2. In this case, the missing measurement value complementation unit 17 performs missing measurement complementation by, for example, using the SM measurement value of the smart meter 6-6 of the previous day (the SM measurement value of the smart meter 6-6 for the same time period on the previous day) illustrated in the upper part of FIG. 5 as the SM measurement value of the missing smart meter 6-6. Note that the missing measurement complementation method is not limited to using the SM measurement value of the previous day. For example, a value at the same time on the same day in the same month of the previous year may be used, or an average value at the same time in the same month of the previous year may be used. Furthermore, the missing measurement value complementation unit 17 may use the contract information stored in the storage unit 12 to calculate the contracted power of the consumer corresponding to the smart meter 6, and use the value obtained by multiplying the contracted power by a correction coefficient as the complemented value. The correction coefficient is determined based on, for example, the actual value of the power demand in the past and the contracted power, but the method of calculating the correction coefficient is not limited to this.

[0041] In this way, when a measurement gap occurs in the smart meter 6, the measurement gap complement unit 17 performs the measurement gap complement by setting the SM measurement value of the smart meter 6 acquired at the same time on the day before the measurement gap occurred as the SM measurement value of the date and time corresponding to the measurement gap. For example, the measurement gap complement unit 17 sets the SM measurement value of the smart meter 6 acquired at the same time on the day before the measurement gap occurred as the SM metric value of the date and time corresponding to the measurement gap. Furthermore, when a measurement gap occurs in the smart meter 6, the measurement gap complement unit 17 may set a value calculated based on the contracted power of the consumer corresponding to the smart meter 6 as the SM metric value of the date and time corresponding to the measurement gap.

[0042] Returning to the explanation of Fig. 3, the load curve management system 1 performs power factor substitution of the sensor switch 8 (step S4). In detail, the power factor substitution unit 14 uses the equipment information, contract information, and SM metered values ​​stored in the storage unit 12 to substitute the measured value of the power factor in the switch measurement data with a power factor calculated using the SM metered values.

[0043] FIG. 6 is a diagram illustrating an example of power factor substitution according to this embodiment. FIG. 6 illustrates a portion of a power distribution system similar to the example illustrated in FIG. 2. In the example illustrated in FIG. 6, the measured voltage value at the sensor switch 8-1 is 6500 [V], the measured current value at the sensor switch 8-1 is 250 [A], and the measured power factor value at the sensor switch 8-1 is 96%. As described above, this measured power factor value includes line losses. Therefore, the power factor substitution unit 14 calculates the power factor using the SM metered values ​​of the smart meters 6-1 to 6-3 within the range corresponding to the sensor switch 8-1. The range corresponding to the sensor switch 8-1 is the same as the above-described apportionment range. Specifically, the power factor substitution unit 14 calculates active power and reactive power from the active energy and reactive energy of the SM metered values ​​of the smart meters 6-1 to 6-3 within the range corresponding to the sensor switch 8-1. Then, the power factor substitution unit 14 calculates the power factor F using the calculated sum of active powers (sum for smart meters 6 within the range), PS, and the calculated sum of reactive powers (sum for smart meters 6 within the range), QS, according to the following equation (3): F=PS÷√(PS 2 +QS 2 ) …(3)

[0044] The power factor substitution unit 14 substitutes the measured value of the power factor of the sensor switch 8-1 in the switch measurement data stored in the memory unit 12 with the calculated power factor F. In the example shown in Fig. 6, PS is 100 [kW] and QS is 40 [kVar], so the power factor F is 93%. Therefore, the power factor substitution unit 14 substitutes the measured value of the power factor of the sensor switch 8-1, 96%, with the value 93%.

[0045] Returning to the explanation of Figure 3, the load curve management system 1 then performs current allocation (step S5) and terminates the process. In detail, in step S5, the current allocation unit 15 calculates the current value at each point in the distribution system using the equipment information, contract information, switch measurement data, and SM metered values ​​stored in the memory unit 12, and if allocation is necessary, performs current allocation processing as illustrated in Figure 2. The current allocation unit 15 outputs the current value at each point obtained by the processing to the transmitter 16 as a current distribution, and the transmitter 16 transmits the current distribution to the distribution line monitoring and control system 3. The current distribution includes the active current and reactive current at each point.

[0046] 2, all SM measurement values ​​are positive, but if the SM measurement values ​​contain a mixture of positive and negative values, the positive and negative values ​​will cancel each other out, resulting in a smaller total sum during allocation and possibly a deviation from the actual value. For this reason, in step S5, the current allocation unit 15 performs allocation processing including fixation, as described below, thereby reducing errors when positive and negative values ​​are mixed.

[0047] Fig. 7 is a flowchart showing an example of a processing procedure in the current allocation unit 15 of this embodiment. Fig. 6 shows one allocation range, and the processing shown in Fig. 7 is performed for each allocation range. The current allocation unit 15 calculates the effective current IW of the sensor switch 8 from the measurement data of the sensor switch 8, i.e., the switch measurement data. A and reactive current IW R (Step S11). More specifically, since the current measured by the sensor switch 8 is an apparent current, the active current and reactive current are calculated by the following equation (4) using the measured value IW of the current in the switch measurement data and the measured value FW of the power factor in the switch measurement data. Note that the measured value FW of the power factor in the switch measurement data has been replaced in the above-mentioned step S4, and is therefore the above-mentioned power factor F. IW A =IW×FW IW R =IW×√(1-FW 2 ) …(4)

[0048] Next, the current allocation unit 15 calculates the active current and reactive current of the smart meter 6 from the measurement value of the smart meter 6, i.e., the SM measurement value (step S12). In detail, the current allocation unit 15 calculates the active current and reactive current of each smart meter 6 by dividing the active power and reactive power calculated using the SM measurement value by the voltage measured by the sensor switch 8 nearest to the smart meter 6.

[0049] Next, the current allocation unit 15 determines the fixation target code (step S13). In this embodiment, when performing current allocation, current values ​​with positive or negative signs determined to be fixation target codes are not subject to allocation, and the current values ​​are used as fixed values ​​as they are, while current values ​​with positive or negative signs not determined to be fixation target codes are subject to allocation. In step S13, it is determined whether the positive or negative sign is to be the fixation target code. In detail, the current allocation unit 15 determines whether the signs of the reactive power amounts in the SM measurement values ​​of the smart meters 6 within the allocation range are all the same. Then, the current allocation unit 15 calculates the sum of the reactive powers with positive values ​​and the sum of the reactive powers with negative values ​​within the allocation range, and compares the absolute values ​​of both, |Sum of Positive Reactive Powers| and |Sum of Negative Reactive Powers|, and determines the positive or negative sign with the smaller absolute value as the fixation target code. For active power as well, if the signs of the active power in the SM measurement values ​​of the smart meters 6 in the allocation range are not all the same, the current apportionment unit 15 similarly determines the fixed target sign.

[0050] Next, the current allocation unit 15 determines whether the conditions for performing allocation processing are met (step S14). More specifically, it determines whether the measured current value of the sensor switch 8 matches the current value of the smart meter 6 in the allocation range for each of the active current and the reactive current. If both the active current and the reactive current match, it determines "No" in step S14, and if at least one of the active current and the reactive current does not match, it determines "Yes" in step S14. More specifically, if there is no mixture of positive and negative values ​​for the active power and reactive power of the smart meter 6 in the allocation range, it determines whether the absolute value of the difference between the current values ​​of the sensor switch 8 at both ends of the allocation range, i.e., the difference between the section current value of each allocation range and the total current value of the smart meter 6 in the allocation range, is equal to or greater than a threshold value. In addition, if positive and negative values ​​are mixed, it is determined whether the absolute value of the difference between the section current of the allocation range to which the fixed amount (the sum of the current values ​​of the fixed target code) has been added and the sum of the current values ​​to be allocated of the smart meters 6 in that allocation range is greater than or equal to a threshold value.

[0051] If the conditions for performing the allocation process are not met (No in step S14), the current allocation unit 15 sets the active current and reactive current calculated in step S12 as the current values ​​at each point and ends the process. If the conditions for performing the allocation process are met (Yes in step S14), the current allocation unit 15 performs the allocation process (step S15) and ends the process. In step S15, if a fixed target code is not defined for each of the active current and the reactive current, the current allocation unit 15 performs the allocation process using the above formula (2). Also, if a fixed target code is defined for the active current, the current allocation unit 15 fixes the current value of the fixed target code as it is, and allocates the current value of the smart meter 6 that does not have a fixed target code in the allocation range to the smart meter 6 that is the target of allocation, similar to the above formula (2). Similarly, when a fixed target code is set for the reactive current, the current value of the fixed target code is fixed as it is, and the current value of the smart meter 6 that does not have a fixed target code in the allocation range is used as the subject of allocation, and the value obtained by adding the fixed amount to the section current is allocated, as in the above formula (2).

[0052] As described above, the current allocation unit 15 of this embodiment calculates the active current and reactive current at the sensor switch 8 using the power factor calculated by the power factor substitution unit 14 and the current measured by the sensor switch 8, and calculates the active current at each point by allocating, for each range (allocation range), the active current corresponding to the range calculated from the active current at the sensor switch 8 using the SM metric value at each point in the range. Also, the current allocation unit 15 calculates the reactive current at each point by allocating, for each point, the reactive current corresponding to the range calculated from the reactive current at the sensor switch 8 using the SM metric value at each point in the range.

[0053] Furthermore, the current allocation unit 15 calculates the active power and reactive power for each range based on the SM measurement value, and if the positive and negative signs of the reactive power in the smart meter 6 in the range are not the same, the positive and negative signs corresponding to the smaller absolute value of the absolute value of the sum of the reactive power in the smart meter 6 for a positive value and the absolute value of the sum of the reactive power in the smart meter 6 for a negative value are set as the fixed target sign. Then, the current allocation unit 15 calculates the fixed target reactive current, which is the reactive current in the smart meter 6 corresponding to the fixed target sign, by dividing the reactive power by the voltage measured by the sensor switch 8 corresponding to the range. Furthermore, the current allocation unit 15 allocates the value obtained by adding the fixed target reactive current to the reactive current corresponding to the range calculated from the reactive current in the sensor switch 8 to each point based on the reactive power of the allocation target sign, which is a positive or negative sign other than the fixed target sign. Similarly, for active power, when the positive and negative signs of the active power in the smart meters 6 within the range are not the same, the current allocation unit 15 sets the positive and negative signs corresponding to the smaller absolute value of the absolute value of the sum of the active power in the smart meters 6 with positive values ​​and the absolute value of the sum of the active power in the smart meters 6 with negative values ​​as the fixed target sign, and calculates the fixed target active current, which is the active current in the metering device corresponding to the fixed target sign, by dividing the active power by the voltage measured by the sensor switch 8 corresponding to the range.The current allocation unit 15 then allocates the value obtained by adding the fixed target active current to the active current corresponding to the range calculated from the active current in the sensor switch 8 to each point based on the active power of the allocation target sign with a positive or negative sign other than the fixed target sign.

[0054] FIG. 8 is a diagram for explaining the processing in the current allocation unit 15 of this embodiment. Similar to the example shown in FIG. 5, FIG. 8 illustrates an allocation range between the sensor switch 8-1 and the sensor switch 8-2 ​​in the power distribution system. In the example shown in FIG. 8, as shown in the top row of FIG. 8, the active power calculated from the SM metered value of the smart meter 6-1 (indicated as "present" in FIG. 8) is 300 [kW], and the reactive power calculated from the SM metered value of the smart meter 6-1 (indicated as "absent" in FIG. 8) is 100 [kVar]. Furthermore, the active power calculated from the SM metered value of the smart meter 6-2 is 400 [kW], the reactive power calculated from the SM metered value of the smart meter 6-2 is -40 [kVar], the active power calculated from the SM metered value of the smart meter 6-3 is 300 [kW], and the reactive power calculated from the SM metered value of the smart meter 6-3 is 100 [kVar]. In addition, the measured value of the voltage at the sensor switch 8-1 is 6500 [V], the measured value of the voltage at the sensor switch 8-1 is 6500 [V], the measured value of the current (apparent current) at the sensor switch 8-1 is 110 [A], and the measured value of the power factor at the sensor switch 8-1 is 99%.

[0055] In the example shown in FIG. 8, the sum of the positive reactive power values ​​within the allocation range is 200 [kVar], and the sum of the negative reactive power values ​​within the allocation range is -40 [kVar]. Since |the sum of the positive reactive power values| is greater than |the sum of the negative reactive power values|, the fixation target sign is negative in the example shown in FIG. 8. The middle part of FIG. 8 shows the active current (indicated as "Yes" in FIG. 8) and reactive current (indicated as "No" in FIG. 8) calculated in step S12, along with whether or not they are fixation targets. The active current of smart meter 6-1 is 26.6 [A] by dividing the active power of 300 [kW] by √3 × 6500 [V]. Similarly, the reactive current of smart meter 6-1 is 8.9 A, the active current of smart meter 6-2 is 35.5 [A], the reactive current of smart meter 6-2 is -3.5 [A], the active current of smart meter 6-3 is 26.6 [A], and the reactive current of smart meter 6-3 is 8.9 [A]. Also, as described above, since the fixed symmetric sign of reactive power is negative, the reactive current of smart meter 6-2 is a fixed symmetric current, and the reactive currents of smart meters 6-1 and 6-3 are subject to proportional distribution. Also, as shown in the middle of Figure 8, the active current in sensor switch 8-1 is 108.9 [A], and the reactive current in sensor switch 8-1 is 15.5 [A].

[0056] Therefore, in step S14, the current allocation unit 15 determines that, with regard to the active current, the active current of 108.9 [A] of the sensor switch 8-1 does not match the sum of the active currents of 88.7 [A] of the smart meters 6-1 to 6-3. Also in step S14, with regard to the reactive current, the current allocation unit 15 determines that the value obtained by adding the fixed reactive current of -3.5 [A] of the smart meter 6-2 to the reactive current of 15.5 [A] of the sensor switch 8-1, i.e., 15.5 [A] -3.5 [A], does not match the sum of the reactive currents of 17.8 [A] of the smart meters 6-1 and 6-3 to be allocated. Therefore, in the example shown in FIG. 8, both the active current and the reactive current are subject to allocation processing.

[0057] Therefore, allocation processing is performed in step S15. As shown in the bottom row of Fig. 8, allocation processing is performed for the active current using the above-mentioned formula (2), and the active currents of the smart meters 6-1 to 6-3 are 32.7 [A], 43.6 [A], and 32.7 [A], respectively. Furthermore, for the reactive current, 15.5 [A] - 3.5 [A] is allocated to the smart meters 6-1 and 6-3 to be allocated, and the reactive current of the smart meters 6-1 and 6-3 is (15.5 [A] - 3.5 [A]) × 8.9 [A] ÷ (8.9 [A] + 8.9 [A]) = 9.6 A.

[0058] Next, a case where a temporary switching occurs in a distribution line will be described. A temporary switching may cause a section of a distribution line to be divided or expanded, or the affiliation of equipment to be changed. In such a case, if the switch measurement data during the temporary switching is used as the current distribution as is, the current distribution during the temporary switching period cannot be obtained. In this embodiment, even when a temporary switching occurs, the current distribution is calculated using the SM metered values ​​of the smart meters 6 in the standard system range. That is, when a temporary switching occurs in a distribution line, the current apportionment unit 15 calculates the current at the switch with sensor 8 during the temporary switching period based on the SM metered values ​​of the smart meters 6 downstream of the switch with sensor 8 and the voltage measured by the switch with sensor 8.

[0059] FIG. 9 is a diagram illustrating a method for calculating a current distribution according to this embodiment when temporary switching occurs. The example shown in FIG. 9 illustrates an example in which temporary switching occurs in a distribution system similar to the example shown in FIG. 2. Smart meter 6 is not shown in the top and middle sections of FIG. 9, but smart meters 6-1 to 6-9 are connected to the distribution line, as in the bottom section of FIG. 9. As shown in the top section of FIG. 9, for example, assume that at 10:00 on April 6, the distribution line is a standard system, and at 11:00 on April 6, the sensor switch 8-3 is switched from closed (on) to open (off) due to temporary switching. In this case, the measurement values ​​of the currents of the sensor switches 8-1 to 8-3 change due to the influence of the switching. Therefore, the switch measurement data at 11:00 on April 6 is not a value in a standard system state. In this embodiment, the current values ​​of the smart meters 6-1 to 6-9 are calculated by dividing the SM measurement values ​​of the smart meters 6-1 to 6-9 in the section from the sensor switch 8-1 to the sensor switch 8-4 by the measured voltage values ​​of the sensor switches 8-1 to 8-3 in the corresponding apportionment section. The current values ​​of the sensor switches 8-1 to 8-3 can then be calculated by accumulating these current values. For example, the current value of the sensor switch 8-3, −100 [A], can be calculated by summing the current values ​​of the smart meters 6-7 to 6-9; the current value of the sensor switch 8-2, −200 [A], can be calculated by summing the current values ​​of the smart meters 6-4 to 6-9; and the current value of the sensor switch 8-1, −300 [A], can be calculated by summing the current values ​​of the smart meters 6-1 to 6-9. The current values ​​of the sensor switches 8 calculated in this manner can be used, for example, to grasp the load status of the power distribution line at a macro level. Furthermore, by linking these current values ​​to a power supply control center that manages the power transmission system, the current values ​​can be used for monitoring the power transmission system, planning its operation, etc. As described above, in this embodiment, the current value at each sensor switch 8 can be obtained even if temporary switching occurs.

[0060] Next, a hardware configuration of the load curve management system 1 of this embodiment will be described. In the load curve management system 1 of this embodiment, a computer program that describes the processing in the load curve management system 1 is executed on the computer system, causing the computer system to function as the load curve management system 1. FIG. 10 is a diagram showing an example configuration of a computer system that realizes the load curve management system 1 of this embodiment. As shown in FIG. 10, this computer system includes a control unit 101, an input unit 102, a storage unit 103, a display unit 104, a communication unit 105, and an output unit 106, which are connected via a system bus 107.

[0061] In FIG. 10 , the control unit 101 is a processor such as a CPU (Central Processing Unit) that executes a program describing the processes of the load curve management system 1 of this embodiment. Note that a portion of the control unit 101 may be realized by dedicated hardware such as an FPGA (Field-Programmable Gate Array). The input unit 102 is composed of, for example, a keyboard, a mouse, etc., and is used by a user of the computer system to input various information. The memory unit 103 includes various memories such as RAM (Random Access Memory) and ROM (Read Only Memory) and a storage device such as a hard disk, and stores programs to be executed by the control unit 101, necessary data obtained during processing, etc. The memory unit 103 is also used as a temporary storage area for programs. The display unit 104 is composed of a display, an LCD (Liquid Crystal Display Panel), etc., and displays various screens to the user of the computer system. The communication unit 105 is a receiver and transmitter that performs communication processing. The output unit 106 is a printer, a speaker, etc. Note that FIG. 10 is merely an example, and the configuration of the computer system is not limited to the example of FIG. 10 .

[0062] Here, an example of the operation of the computer system until the program of this embodiment is ready to be executed will be described. In the computer system having the above-described configuration, for example, a computer program is installed in the storage unit 103 from a CD-ROM or DVD-ROM inserted in a CD (Compact Disc)-ROM drive or DVD (Digital Versatile Disc)-ROM drive (not shown). Then, when the program is executed, the program read from the storage unit 103 is stored in the main storage area of ​​the storage unit 103. In this state, the control unit 101 executes processing as the road curve management system 1 of this embodiment in accordance with the program stored in the storage unit 103.

[0063] In the above description, a program describing the processing in the load curve management system 1 is provided on a CD-ROM or DVD-ROM as a recording medium, but this is not limited to this. Depending on the configuration of the computer system and the capacity of the program to be provided, for example, a program provided via a transmission medium such as the Internet via the communication unit 105 may be used.

[0064] The program of this embodiment causes a computer system to execute, for example, the step of calculating a power factor for each range of a distribution line using the measurement value of the amount of electric energy of a consumer measured by a smart meter 6 connected to the range. The program of this embodiment also causes the computer system to execute the steps of calculating the active current and reactive current at the sensor switch 8 using the calculated power factor and the current measured by the sensor switch 8, and for each range, calculating the active current at each point by proportionally dividing the active current corresponding to the range calculated from the active current at the sensor switch 8 to each point using the measurement value at each point in the range, and calculating the reactive current at each point by proportionally dividing the reactive current corresponding to the range calculated from the reactive current at the sensor switch 8 to each point using the measurement value at each point in the range.

[0065] The allocation range expansion unit 13, power factor substitution unit 14, current allocation unit 15, and missing metric value complement unit 17 shown in FIG. 1 are realized by the control unit 101 shown in FIG. 10 executing a computer program stored in the memory unit 103 shown in FIG. 10. The memory unit 103 shown in FIG. 10 is also used to realize the allocation range expansion unit 13, power factor substitution unit 14, current allocation unit 15, and missing metric value complement unit 17 shown in FIG. 1. The receiving unit 11 and transmitting unit 16 shown in FIG. 1 are realized by the communication unit 105 shown in FIG. 10. The memory unit 12 shown in FIG. 1 is part of the memory unit 103 shown in FIG. 10. The load curve management system 1 may also be realized by multiple computer systems. For example, the load curve management system 1 may be realized by a cloud computer system.

[0066] In addition, the power distribution business comprehensive support system 2 and the power distribution line monitoring and control system 3 shown in Figure 1 also Similarly, it can be realized, for example, by a computer system having the configuration shown in Fig. 10. The receiving unit 21 and the transmitting unit 23 shown in Fig. 1 are realized by the communication unit 105 shown in Fig. 10. The storage unit 22 shown in Fig. 1 is a part of the storage unit 103 shown in Fig. 10.

[0067] As described above, the load curve management system 1 of this embodiment calculates the power factor for each allocation range using the measurement value of the smart meter 6, and then calculates the active current and reactive current of the sensor switch 8 using the calculated power factor and the current value measured by the sensor switch 8. The load curve management system 1 of this embodiment then calculates the current value of the allocation range based on the active current of the sensor switch 8 by apportioning it to each smart meter 6 in the allocation range using the measurement value of the smart meter 6. Using the current distribution, which is the current value at each point calculated by the load curve management system 1, the amount of voltage drop ΔV in the distribution system can be calculated using a simple voltage drop calculation. Therefore, this embodiment does not require power flow calculation, and the processing load of monitoring and controlling the distribution system using the measurement value of the consumer's power consumption can be reduced. Furthermore, because the power factor is calculated using the measurement value of the smart meter 6, the calculation accuracy of ΔV can be improved compared to when the power factor measured by the sensor switch 8 is used.

[0068] Embodiment 2 FIG. 11 is a diagram showing an example of the configuration of a power distribution system management system according to a second embodiment. A power distribution system management system 5a according to this embodiment is similar to the power distribution system management system 5 according to the first embodiment, except that it includes a power distribution operation comprehensive support system 2a instead of the power distribution operation comprehensive support system 2. The power distribution operation comprehensive support system 2a is similar to the power distribution operation comprehensive support system 2 according to the first embodiment, except that a periodic maximum current calculation unit 24 is added. Components having the same functions as those according to the first embodiment are assigned the same reference numerals as those according to the first embodiment, and redundant explanations will be omitted. Below, differences from the first embodiment will be mainly explained.

[0069] In the first embodiment, an example has been described in which the current distribution is calculated using SM metric values. However, the number of current values ​​calculated using SM metric values ​​is enormous, and if used as is, it takes a long time to perform the maximum voltage drop calculation process and the maximum passing current calculation process in the distribution line monitoring and control system 3. The maximum passing current calculation process is a process for calculating the passing current to check whether the current passing through the distribution equipment exceeds the allowable value of the distribution equipment.

[0070] For this reason, in this embodiment, the period maximum current calculation unit 24 of the power distribution business comprehensive support system 2a calculates the maximum total value of the current value in the supply range (per distribution line) for each period. The period is, for example, one month (30 days) or one year (365 days), but is not limited to these. This maximum value is calculated using two methods, for example, a first method for calculating the maximum voltage drop and a second method for calculating the maximum passing current.

[0071] Fig. 12 is a diagram showing an example of calculating the maximum value using the first method of this embodiment. In the example shown in Fig. 12, for simplicity's sake, three smart meters 6-1 to 6-3 are provided in the supply range, but the number of smart meters 6 in the supply range is not limited to this. The left side of Fig. 12 shows the current value of the apparent current calculated from the active current and reactive current at each point stored as current distribution information, and the right side shows maximum current information indicating the maximum current calculated by the period maximum current calculation unit 24. The supply range total current value It is calculated using the following equation (5), where Ia is the sum of the active currents in the section (the sum of the active currents of SM6-1 to SM6-3 in the example shown in Fig. 12) and Ib is the sum of the reactive currents in the section (the sum of the reactive currents of SM6-1 to SM6-3 in the example shown in Fig. 12). It=√(Ia 2 +Ib 2 ) …(5)

[0072] In the first method, the maximum value of the supply range total current value for a month at the same time in a time slice, i.e., the same time in a day, is extracted. For example, the largest current value 201 from 2021 / 8 / 1 to 2021 / 8 / 31 at 0:00 in the time slice is 74 [A] on 2021 / 8 / 2, and the largest current value 202 from 2021 / 8 / 1 to 2021 / 8 / 31 at 0:30 in the time slice is 100 [A] on 2021 / 8 / 30. In this case, as shown on the right side of FIG. 12 , the period maximum current calculation unit 24 extracts the current values ​​of the smart meters 6-1 to 6-3 and the supply range total current value on 2021 / 8 / 2 for the time slice 0:00 as the maximum current for the maximum voltage drop calculation process, and extracts the current values ​​of the smart meters 6-1 to 6-3 and the supply range total current value on 2021 / 8 / 30 for the time slice 0:30. In this way, in the first method, the day on which the total supply range current for each time section is at its maximum value is set as the reference day, and the current value on the reference day is extracted as the maximum current for the period.

[0073] In this way, the period maximum current calculation unit 24 calculates the total current value for each distribution line using the current at each point in the current distribution, and sets the maximum value of the total value in a specified period for each time as the maximum current for calculating the voltage drop.

[0074] FIG. 13 is a diagram illustrating an example of calculating a maximum value using the second method of this embodiment. In the example illustrated in FIG. 13, for simplicity's sake, three smart meters 6, smart meters 6-1 to 6-3, are provided in the supply range. However, the number of smart meters 6 in the supply range is not limited to this. The left side of FIG. 13 shows the current value of the apparent current at each point stored as current distribution information, and the right side shows maximum current information indicating the maximum current calculated by the period maximum current calculation unit 24. In the second method, maximum values ​​for a time slice, i.e., a month with the same time in a day, are extracted for each smart meter 6. For example, the largest current value 204 of smart meter 6-1 at 0:00 in the time slice from 2021 / 8 / 1 to 2021 / 8 / 31 is 32 [A] on 2021 / 8 / 30. Furthermore, the largest current value 205 of smart meter 6-2 from 2021 / 8 / 1 to 2021 / 8 / 31 at time cross section 0:00 is 31 [A] on 2021 / 8 / 31. Furthermore, the largest current value 206 of smart meter 6-3 from 2021 / 8 / 1 to 2021 / 8 / 31 at time cross section 0:00 is 32 [A] on 2021 / 8 / 2.

[0075] 13, in this case, for the time slice 0:00, the maximum current calculation unit 24 extracts the current value 32 [A] of the smart meter 6-1 on August 30, 2021, the current value 31 [A] of the smart meter 6-2 on August 31, 2021, and the current value 32 [A] of the smart meter 6-3 on August 2, 2021, as the maximum currents for calculating the maximum passing current. Although not shown in the figure, as described above, the current distribution includes active and reactive currents at each point. If the sum of the active currents corresponding to the extracted apparent currents per section is Ic and the sum of the reactive currents corresponding to the extracted apparent currents per section is Id, the maximum current calculation unit 24 calculates the supply range total current value It for each time slice using the following equation (6): For example, in the example shown in Figure 13, for the time section 0:00, Ic is the sum of the active current corresponding to smart meter 6-1 at 0:00 on 8 / 30 / 2021, the active current corresponding to smart meter 6-2 at 0:00 on 8 / 31 / 2021, and the active current corresponding to smart meter 6-3 at 0:00 on 8 / 2 / 2021, and Id is the sum of the reactive current corresponding to smart meter 6-1 at 0:00 on 8 / 30 / 2021, the reactive current corresponding to smart meter 6-2 at 0:00 on 8 / 31 / 2021, and the reactive current corresponding to smart meter 6-3 at 0:00 on 8 / 2 / 2021. It=√(Ic 2 +Id 2 ) …(6)

[0076] In this way, the period maximum current calculation unit 24 uses the current at each point in the current distribution to extract the maximum value for each point in a specified period at each time, and uses the extracted maximum value as the maximum current for calculating the passing current.

[0077] The maximum current information calculated by the first method and the maximum current information calculated by the second method are transmitted by the transmitter 23 to the power distribution line monitoring and control system 3. The power distribution line monitoring and control system 3 performs a maximum voltage drop calculation process using the maximum current information calculated by the first method, and calculates the passing current using the maximum current information calculated by the second method. This reduces the processing load on the power distribution line monitoring and control system 3.

[0078] The power distribution business total support system 2a of this embodiment is realized by a computer system, similar to the power distribution business total support system 2 of embodiment 1. The period maximum current calculation unit 24 shown in Fig. 11 is realized by the control unit 101 shown in Fig. 10 executing a computer program stored in the storage unit 103 shown in Fig. 10. The period maximum current calculation unit 24 shown in Fig. 11 is realized by using the storage unit 103 shown in Fig. 10.

[0079] 11, the power distribution business comprehensive support system 2a includes the period maximum current calculation unit 24, but the period maximum current calculation unit 24 may be provided in the load curve management system 1. In this case, the maximum current information calculated by the period maximum current calculation unit 24 of the load curve management system 1 is transmitted to the power distribution line monitoring and control system 3 by the transmission unit 16.

[0080] In the above example, the maximum current is calculated using both the first method and the second method, but only one of them may be used. In the above example, the maximum current is calculated from the current value at each point in the current distribution calculated by the processing described in the first embodiment, but the processing of this embodiment is not limited to this and can be applied to the case where the maximum current is calculated from the current value at each point calculated by any method.

[0081] The configurations shown in the above embodiments are merely examples, and may be combined with other known technologies, or different embodiments may be combined with each other. It is also possible to omit or modify parts of the configurations as long as they do not deviate from the gist of the invention. [Explanation of symbols]

[0082] 1 Load curve management system, 2,2a Power distribution business comprehensive support system, 3 Distribution line monitoring and control system, 4 Smart meter management system, 5,5a Power distribution system management system, 6,6-1 to 6-9 Smart meters, 7 Distribution transformers, 8,8-1 to 8-4 Sensor switches, 11,21 Receiving unit, 12,22 Memory unit, 13 Allocation range expansion unit, 14 Power factor substitution unit, 15 Current allocation unit, 16,23 Transmitting unit, 17 Missing measurement value complement unit, 24 Period maximum current calculation unit.

Claims

1. a power factor calculation unit that calculates a power factor for each range of the distribution line divided by a sensor switch that measures the voltage, current, and power factor in the distribution line, using measured values ​​of the amount of power consumed by consumers measured by metering devices connected to the range; a current allocation unit that calculates the active current and reactive current in the sensor switch using the power factor calculated by the power factor calculation unit and the current measured by the sensor switch, calculates the active current at each point for each range by proportionally dividing the active current corresponding to the range calculated from the active current in the sensor switch using the measurement value at each point in the range, and calculates the reactive current at each point by proportionally dividing the reactive current corresponding to the range calculated from the reactive current in the sensor switch using the measurement value at each point in the range; A road curve management system comprising:

2. the range is a range from a first switch that is the sensor switch to a second switch that is the sensor switch adjacent to the first switch, The load curve management system includes: an allocation range extension unit that extends the range to the sensor switch that does not have a measurement gap when a measurement gap occurs in the second switch; Equipped with The load curve management system according to claim 1 , wherein the power factor calculation unit and the current proportioning unit use the range after the proportioning range extension unit has performed the expansion.

3. a measurement value missing completion unit that performs missing measurement completion when a measurement missing occurs in the weighing device, by replacing the measurement value of the weighing device acquired at the same time on a day before the day the measurement missing occurred with the measurement value of the date and time corresponding to the missing measurement; Equipped with The load curve management system according to claim 1 or 2, wherein the power factor calculation unit and the current proportioning unit use the measurement values ​​after the missing measurement values ​​are complemented by the measurement value missing complement unit.

4. The load curve management system described in claim 3, characterized in that the measurement value missing complementation unit sets the measurement value of the weighing device obtained at the same time on the day before the day on which the missing measurement occurred as the measurement value for the date and time corresponding to the missing measurement.

5. a measurement value missing completion unit that performs missing completion when a measurement missing occurs in the metering device, by using a value calculated based on the contracted power of the consumer corresponding to the metering device as a measurement value at a date and time corresponding to the missing measurement; Equipped with The load curve management system according to claim 1 or 2, wherein the power factor calculation unit and the current proportioning unit use the measurement values ​​after the missing measurement values ​​are complemented by the measurement value missing complement unit.

6. The current allocation unit calculates active power and reactive power based on the measurement values ​​for each range, and if the positive and negative signs of the reactive power in the metering devices within the range are not the same, the positive and negative sign corresponding to the smaller absolute value of the absolute value of the sum of the reactive power in the metering devices with positive values ​​and the absolute value of the sum of the reactive power in the metering devices with negative values ​​is used as a fixed target sign, and calculates a fixed target reactive current, which is the reactive current in the metering device corresponding to the fixed target sign, by dividing the reactive power by the voltage measured by the sensor switch corresponding to the range, and allocates the value obtained by adding the fixed target reactive current to the reactive current corresponding to the range calculated from the reactive current in the sensor switch to each point based on the reactive power of the allocation target sign, which is a positive or negative sign other than the fixed target sign.

7. 7. The load curve management system according to claim 6, wherein when the positive and negative signs of the active powers in the metering devices within the range are not the same, the current allocation unit uses the positive and negative signs corresponding to the smaller absolute value of the absolute value of the sum of the active powers in the metering devices that are positive values ​​and the absolute value of the sum of the active powers in the metering devices that are negative values ​​as a fixed target sign, calculates a fixed target active current that is the active current in the metering device that corresponds to the fixed target sign by dividing the active power by the voltage measured by the sensor switch that corresponds to the range, and allocates to each point a value obtained by adding the fixed target active current to the active current corresponding to the range calculated from the active current in the sensor switch based on the active power of the allocation target sign that is a positive or negative sign other than the fixed target sign.

8. A load curve management system as described in any one of claims 1 to 7, characterized in that when a temporary switch occurs in a distribution line, the current allocation unit calculates the current in the sensor switch during the temporary switch based on the measurement value of the metering device downstream of the sensor switch and the voltage measured by the sensor switch.

9. a period maximum current calculation unit that calculates a total value of the current in the distribution line using the current at each point calculated by the current apportionment unit, and sets the maximum value of the total value in a period determined for each time as a maximum current for calculating a voltage drop; The road curve management system according to any one of claims 1 to 8, further comprising:

10. The load curve management system according to claim 9, characterized in that the period maximum current calculation unit uses the current at each point calculated by the current apportionment unit to extract the maximum value of current at each point in a specified period for each time, and uses the extracted maximum value as the maximum current for calculating the passing current.

11. a load curve management system that calculates the current distribution in a distribution line; a power distribution line monitoring and control system that calculates a voltage drop using the current distribution and impedance; Equipped with The load curve management system includes: a power factor calculation unit that calculates a power factor for each range of the distribution line divided by a sensor switch that measures the voltage, current, and power factor in the distribution line, using measured values ​​of the amount of power consumed by consumers measured by metering devices connected to the range; a current allocation unit that calculates the active current and reactive current in the sensor switch using the power factor calculated by the power factor calculation unit and the current measured by the sensor switch, calculates the active current at each point for each range by proportionally dividing the active current corresponding to the range calculated from the active current in the sensor switch using the measurement value at each point in the range, and calculates the reactive current at each point by proportionally dividing the reactive current corresponding to the range calculated from the reactive current in the sensor switch using the measurement value at each point in the range; a transmitting unit that transmits the active current and reactive current at each point calculated by the current apportionment unit as a current distribution to the power distribution line monitoring and control system; A power distribution system management system comprising:

12. a period maximum current calculation unit that calculates a total value of currents in the distribution line using currents at each point in the distribution line, and sets the maximum value of the total value in a period determined for each time as a maximum current for calculating a voltage drop; A power distribution system management system comprising:

13. 13. The power distribution system management system according to claim 12, wherein the period maximum current calculation unit extracts a maximum value for each point in a predetermined period for each time period using the current at each point in the power distribution line, and uses the extracted maximum value as a maximum current for calculating a passing current.

14. In the computer system, a step of calculating a power factor for each range of the distribution line divided by a sensor switch that measures the voltage, current, and power factor in the distribution line, using a measured value of the amount of electric energy of a consumer measured by a metering device connected to the range; a step of calculating the active current and reactive current in the sensor switch using the calculated power factor and the current measured by the sensor switch, and calculating the active current at each point for each range by proportionally dividing the active current corresponding to the range calculated from the active current in the sensor switch using the measurement value at each point in the range, and calculating the reactive current at each point by proportionally dividing the reactive current corresponding to the range calculated from the reactive current in the sensor switch using the measurement value at each point in the range; A program characterized by executing the following.

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