Voltage measurement point determination system, voltage measurement point determination device, voltage measurement point determination method, and program

Abstract

The goal is to efficiently select smart meters from among the smart meters in the power distribution system to be used as voltage measurement points for understanding the voltage distribution of the power lines. [Solution] The voltage measurement point determination system (1) includes an equipment data storage unit (3) for storing equipment data of high-voltage distribution lines in a distribution system (9), a first measurement data storage unit (4) for storing first measurement data measured by equipment in the distribution system during a predetermined measurement period, a second measurement data storage unit (5) for storing second measurement data measured by smart meters of consumers in the distribution system during a predetermined measurement period, and a control unit (200) for determining a smart meter to be used as a voltage measurement point for understanding the voltage distribution of the distribution system from among the smart meters of consumers, based on the equipment data, the first measurement data, and the second measurement data.

Description

Technical Field

[0005]

[0001] The present invention relates to a voltage measurement point determination system, a voltage measurement point determination device, a voltage measurement point determination method, and a program.

Background Art

[0002] In a voltage monitoring system that maintains and manages the voltage of a power distribution system within a certain range, it is required to accurately grasp the voltage distribution of the power distribution line. As a method for grasping the voltage distribution of the power distribution line, a method using the measurement values of smart meters of customers has been proposed (for example, Patent Document 1, etc.).

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the conventional method of grasping the voltage distribution of a power distribution line using the measurement values of smart meters, the measurement period of the data for determining the smart meters for acquiring the measurement values is long, and the measurement data becomes huge.

[0005] In view of this point, the present invention is made, and one object is to efficiently determine a smart meter as a voltage measurement point for grasping the voltage distribution of a power distribution line from smart meters of a power distribution system.

Means for Solving the Problems

[0006] A voltage measurement point determination system according to one aspect of the present invention includes: an equipment data storage unit for storing equipment data of high-voltage distribution lines in a distribution system; a first measurement data storage unit for storing first measurement data measured by the equipment of the distribution system during a predetermined measurement period; a second measurement data storage unit for storing second measurement data measured by smart meters of consumers in the distribution system during the predetermined measurement period; and a control unit that determines, from among the smart meters of the consumers, a smart meter to be used as a voltage measurement point for understanding the voltage distribution of the distribution system, based on the equipment data, the first measurement data, and the second measurement data. [Effects of the Invention]

[0007] According to the present invention, it is possible to efficiently determine which smart meters to use as voltage measurement points for understanding the voltage distribution of power lines from among the smart meters in the power distribution system. [Brief explanation of the drawing]

[0008] [Figure 1] This figure illustrates an example configuration of a voltage measurement point determination system according to one embodiment. [Figure 2] This diagram illustrates an example of data stored in the equipment data storage unit. [Figure 3] This diagram illustrates an example of data stored in the sensor switch measurement data storage unit. [Figure 4] This diagram illustrates an example of data stored in the smart meter measurement data storage unit. [Figure 5] This diagram illustrates an example of a setting value stored in the user setting value storage unit. [Figure 6] This diagram illustrates an example of data stored in the voltage measurement point information storage unit. [Figure 7] This is a flowchart illustrating an example of the voltage measurement point information generation process performed by an information processing device according to one embodiment. [Figure 8] This flowchart illustrates an example of a process for deriving the historical voltage distribution of high-voltage power lines. [Figure 9]Figures 9A and 9B illustrate an example of a method for extracting candidate nodes for voltage measurement points. [Figure 10] This flowchart illustrates an example of the process for determining which smart meter will be used as the voltage measurement point. [Figure 11] This flowchart illustrates an example of a process for deriving and saving voltage correction values. [Figure 12] This is a diagram illustrating an example of a power distribution system. [Figure 13] This diagram illustrates an example of deriving the historical voltage distribution of a power distribution system. [Figure 14] This diagram illustrates an example of setting a voltage monitoring and control section. [Figure 15] This flowchart illustrates an example of voltage monitoring and control processing using voltage measurement point information. [Figure 16] Figures 16A and 16B illustrate examples of voltage distributions monitored by a voltage monitoring device. [Modes for carrying out the invention]

[0009] Embodiments of the present invention will be described in detail below with reference to the drawings. The power distribution system shown in the referenced drawings is merely an example of a power distribution system to which the present invention can be applied. Detailed descriptions of well-known equipment included in power distribution systems are omitted in this specification. Furthermore, the processing and various data shown in the referenced drawings are merely examples of processing performed by an information processing device according to one embodiment, and examples of data referenced or generated in that processing.

[0010] Figure 1 is a diagram illustrating an example of the configuration of a voltage measurement point determination system according to one embodiment. The voltage measurement point determination system 1 in Figure 1 may be an example of an information processing system that performs the process of determining voltage measurement points for monitoring and controlling the voltage of a power distribution system 9. The power distribution system 9 includes a plurality of smart meters, and the voltage measurement point determination system 1 performs the process of determining which smart meter to be used as a voltage measurement point from among the plurality of smart meters of the power distribution system 9. An example of the configuration of the power distribution system 9 including smart meters will be described later with reference to Figure 12.

[0011] The voltage measurement point determination system 1 illustrated in FIG. 1 includes an information processing apparatus 2, a facility data storage unit 3, a sensor switch measurement value data storage unit 4, a smart meter measurement value data storage unit 5, a user setting value storage unit 6, and a voltage measurement point information storage unit 7.

[0012] The information processing apparatus 2 includes a control unit 200, a storage unit 210, and a communication unit 220. The control unit 200 controls the operation of the information processing apparatus 2. The control unit 200 can be a processor such as a CPU (Central Processing Unit) that executes a program including the processes described later. The storage unit 210 stores programs executed by the processor, data referred to or generated by the processor, and the like. The storage unit 210 includes a ROM (Read Only Memory) and a RAM (Random Access Memory) as main storage devices. The storage unit 210 may include auxiliary storage devices such as an HDD (Hard Disk Drive) and an SSD (Solid State Drive). The communication unit 220 communicates with an external device directly or via a communication network according to a well-known communication standard. The communication unit 220 can be, for example, a communication module having a LAN (Local Area Network) port or a wireless communication module compliant with a wireless LAN standard such as Wi-Fi (registered trademark). The information processing apparatus 2 may be a general-purpose computer such as a personal computer or a server, or may be a dedicated apparatus that performs the processes described later for determining a voltage measurement point. Further, the processes performed by the information processing apparatus 2 described in this specification may be performed by a voltage monitoring apparatus 12. That is, the voltage monitoring apparatus 12 may operate as a voltage measurement point determination apparatus that performs a process of determining a smart meter to be a voltage measurement point from among a plurality of smart meters in the power distribution system 9.

[0013] The information processing device 2 acquires various types of information regarding the power distribution system 9 in order to determine a smart meter serving as a voltage measurement point. As an example, the information processing device 2 acquires information necessary to determine a smart meter serving as a voltage measurement point from the facility data storage unit 3, the sensor switch measurement value data storage unit 4, the smart meter measurement value data storage unit 5, and the user setting value storage unit 6. Further, the information processing device 2 stores information regarding the smart meter determined as the voltage measurement point of the power distribution system 9 determined by the process described later in the voltage measurement point information storage unit 7. The facility data storage unit 3, the sensor switch measurement value data storage unit 4, the smart meter measurement value data storage unit 5, the user setting value storage unit 6, and the voltage measurement point information storage unit 7 are provided, for example, in an external device (such as a database server or the like) separate from the information processing device 2. These storage units 3 to 7 in the voltage measurement point determination system 1 may be included in separate external devices respectively. In the voltage measurement point determination system 1, a plurality of the storage units 3 to 7 may be provided in a single external device. Also, one or more of the storage units 3 to 7 in the voltage measurement point determination system 1 may be provided in the information processing device 2. In this specification, for convenience, each of these storage units 3 to 7 in the voltage measurement point determination system 1 is regarded as an external device capable of executing processes such as reception (acquisition) and transmission (output) of data, and recording and deletion of the received data.

[0014] FIG. 2 is a diagram for explaining an example of data stored in the facility data storage unit. FIG. 3 is a diagram for explaining an example of data stored in the sensor switch measurement value data storage unit. FIG. 4 is a diagram for explaining an example of data stored in the smart meter measurement value data storage unit. FIG. 5 is a diagram for explaining an example of setting values stored in the user setting value storage unit. FIG. 6 is a diagram for explaining an example of data stored in the voltage measurement point information storage unit.

[0015] The equipment data storage unit 3 stores information about various equipment included in the power distribution system 9. As an example, the equipment data storage unit 3 stores topology information 300, voltage monitoring and control section information 310, location information 320, impedance information 330, and smart meter information 340, as shown in Figure 2. The topology information 300 may be information indicating the topology (connection relationships) of various equipment in the power distribution system 9. The equipment in the topology information 300 includes load-tap changing transformers (hereinafter also referred to as "LRT"), step-type voltage regulators (hereinafter also referred to as "SVR"), sensor switches, pole-mounted transformers, smart meters, and power line ends in the starting distribution substation. The voltage monitoring and control section information 310 may be information indicating voltage monitoring and control sections, which are the units of voltage control in the power distribution system 9. The voltage monitoring and control section may be information identifying multiple power line sections obtained by dividing the high-voltage power distribution lines of the power distribution system 9 at the installation locations of voltage regulators such as SVRs. Voltage monitoring and control section information 310 may be included in topology information 300. Location information 320 may be information indicating the location of at least one of the smart meters and nodes on the distribution line in the distribution system 9. The term "node" as used herein means the interconnection point of the pole-mounted transformer to which consumers in the distribution system 9 are aggregated and interconnected. Information indicating the location of a smart meter or node may be the distance along the distribution line from the end of the section closer to the light rail transit (LRT) within the voltage monitoring and control section to that smart meter or node (in other words, the length of the distribution line). Impedance information 330 includes the impedance of the distribution lines between nodes in the distribution system 9. Smart meter information 340 includes information indicating smart meters among the smart meters of the distribution system 9 that can be set at voltage measurement points. Smart meters that can be set at voltage measurement points are, for example, smart meters capable of online voltage measurement and collection. The smart meter information 340 may also include other information, such as information indicating the upper limit of the number of smart meters that can be selected as voltage measurement points for a candidate voltage measurement point node. A candidate voltage measurement point node is a node to which smart meters that are candidates for voltage measurement points in the process described later for determining the voltage measurement points of the power distribution system 9 are connected.In the following explanation, "voltage measurement point candidate node" may sometimes be simply referred to as "candidate node."

[0016] The sensor switch measurement data storage unit 4 stores, for example, the sensor switch measurement data 400 shown in Figure 3. The sensor switch measurement data 400 is data collected from voltage, current, and phase measurements taken by sensor switches in the power distribution system 9, and includes measurement values ​​for at least a predetermined period. The predetermined period is any period during which measurement values ​​used in the process of determining the voltage measurement point can be secured, and is not limited to a specific period. In one example, the predetermined period may be one month. The sensor switches in the power distribution system 9 measure voltage, current, and phase at predetermined measurement intervals (measurement cycles) of, for example, a few minutes, and transmit the measurement values ​​to the sensor switch measurement data storage unit 4 via the communication network 10. The sensor switch measurement data storage unit 4 adds (records) the received voltage, current, and phase measurements to the sensor switch measurement data 400, associating them with the measurement date and time for each sensor switch. The sensor switch measurement data storage unit 4 may delete measurement values ​​from the sensor switch measurement data 400 after a predetermined period has elapsed. If multiple sensor switches are installed in the power distribution system 9, the measured values ​​collected from these sensor switches and added to the sensor switch measurement value data 400 shall be time-synchronized by a well-known method. Note that the measured value data stored in the sensor switch measurement value data storage unit 4 is not limited to data in the format of the sensor switch measurement value data 400 exemplified in Figure 3.

[0017] The smart meter measurement data storage unit 5 stores, for example, the smart meter measurement data 500 shown in Figure 4. The smart meter measurement data 500 is data collected from the values ​​of the amount of electricity measured by the smart meters of each consumer in the power distribution system 9, and includes values ​​for at least a predetermined period. The predetermined period is not limited to a specific period, but can be any period during which values ​​used in the process of determining the voltage measurement point can be secured. In one example, the predetermined period may be one month. The smart meters in the power distribution system 9 measure the amount of electricity at a predetermined measurement interval (measurement cycle) of about 30 minutes, for example, and transmit the measured values ​​to the smart meter measurement data storage unit 5 via the communication network 11. The measured amount of electricity transmitted by the smart meter may be the average amount of electricity obtained by dividing the amount of electricity consumed at each measurement interval (e.g., 30 minutes) by the measurement interval. The smart meter measurement data storage unit 5 adds (records) the received measured amount of electricity to the smart meter measurement data 500, associating it with the measurement date and time for each smart meter. The smart meter measurement data storage unit 5 may delete measured values ​​from the smart meter measurement data 500 after a predetermined period has elapsed. The measured values ​​collected from multiple smart meters in the power distribution system 9 and added to the smart meter measurement data 500 are assumed to be time-synchronized by a well-known method. Furthermore, the measured values ​​in the smart meter measurement data 500 are assumed to be measured so that the measurement date and time match any of the measured values ​​in the sensor switch measurement data 400. In other words, the measurement interval of the sensor switch may be an interval obtained by dividing the smart meter measurement interval by a natural number. For example, if the smart meter measurement interval is 30 minutes, by setting the sensor switch measurement interval to 2 minutes, 3 minutes, 5 minutes, 6 minutes, 10 minutes, and 15 minutes, the voltage, current, and phase are measured at the sensor switch at the date and time when the power is measured at the smart meter. Note that the measurement data stored in the smart meter measurement data storage unit 5 is not limited to data in the format of the smart meter measurement data 500 exemplified in Figure 3. In addition to the average power amount described above, the smart meter measurement data 500 may record the actual measured values ​​of the power amount measured at the measurement interval. Also, the smart meter measurement data 500 may record both the average power amount and the actual measured values, for example.

[0018] The user setting value storage unit 6 stores setting information such as values ​​set by the user for items that can be set by the user (e.g., the information processing device 2 or the administrator of the power distribution system 9) in the process of determining the voltage measurement points of the power distribution system 9. As an example, the user setting value storage unit 6 stores the measurement period 600, candidate node extraction conditions 610, and voltage measurement point information 620 shown in Figure 5. The measurement period 600 may be a value that sets the measurement period for the measured values ​​used to derive the past voltage distribution of the high-voltage distribution lines of the power distribution system 9. The measurement period may be the same as (e.g., one month) the period for recording (storing) the measured values ​​in the sensor switch measurement value data 400 and smart meter measurement value data 500, or it may be different. The candidate node extraction conditions 610 may be a value that specifies the extraction conditions when extracting candidate nodes based on the past voltage distribution of the high-voltage distribution lines of the power distribution system 9. The candidate node extraction conditions may be a value that specifies the voltage distribution used to extract candidate nodes from the voltage distribution at each time point within a predetermined past period. The voltage measurement point information 620 may indicate the number of selectable voltage measurement points for each candidate node when determining the voltage measurement points for each candidate node. For example, if the number of voltage measurement points for a candidate node is "2", then two smart meters can be selected as voltage measurement points for that candidate node.

[0019] The voltage measurement point information storage unit 7 stores, for example, the voltage measurement point information 700 shown in Figure 6. The voltage measurement point information 700 includes information indicating the smart meter that the information processing device 2 has determined to be a voltage measurement point in the power distribution system 9 after performing the processing described later, and information regarding the correction of the measured voltage at each smart meter. The node flag in the voltage measurement point information 700 in Figure 6 indicates whether or not the smart meter selected as a voltage measurement point is a smart meter connected to a candidate node. "0: Candidate" means that the smart meter is connected to a candidate node, and "1: Alternative" means that the smart meter is connected to a node other than the candidate node (alternative node). The voltage correction value in the voltage measurement point information 700 in Figure 6 is a value indicating the amount of correction for the measured voltage at the smart meter. A "-" in the voltage correction value means that no correction is applied. In other words, when voltage measurements are obtained from voltage measurement points in order to monitor and control the voltage of the power distribution system 9, the measurements at voltage measurement points with a node flag of "0" are not corrected, while the measurements at voltage measurement points with a node flag of "1" are corrected using a voltage correction value. Note that the voltage measurement point information stored in the voltage measurement point information storage unit 7 is not limited to data in the format of the voltage measurement point information 700 exemplified in Figure 6. For example, the node flag may be omitted in the voltage measurement point information 700.

[0020] The data (information) stored in the equipment data storage unit 3, the sensor switch measurement value data storage unit 4, the smart meter measurement value data storage unit 5, the user setting value storage unit 6, and the voltage measurement point information storage unit 7 may include additional information other than the information described above.

[0021] Figure 7 is a flowchart illustrating an example of the voltage measurement point information generation process performed by an information processing device according to one embodiment. Figure 8 is a flowchart illustrating an example of the process for deriving the past voltage distribution of a high-voltage distribution line. The processes according to the flowcharts illustrated in Figures 7 and 8 are mainly carried out by the control unit 200 of the information processing device 2.

[0022] The information processing device 2 according to this embodiment generates information about voltage measurement points of the power distribution system 9 (for example, voltage measurement point information 700 in Figure 6) and stores it in the voltage measurement point information storage unit 7, by performing a voltage measurement point information generation process that includes, for example, steps S1 to S4 shown in Figure 7. In step S1, the information processing device 2 derives the past voltage distribution of the high-voltage distribution lines of the power distribution system 9. As part of the processing in step S1, the control unit 200 of the information processing device 2 performs, for example, the processing of steps S101 to S103 shown in Figure 8.

[0023] In step S101, the control unit 200 acquires measurement data for a predetermined period of time from the smart meter and derives the active power P of each node at each time within the predetermined period. First, the control unit 200 acquires the measurement values ​​(average energy) for a predetermined period of time from each smart meter in the smart meter measurement data 500, based on the measurement period 600 stored in the user setting value storage unit 6. Next, the control unit 200 aggregates the acquired measurement values ​​on a node-by-node basis and derives the average energy for each time (measurement date and time) for each node. As an example, the control unit 200 divides the measurement values ​​aggregated at that node into sets of measurement values ​​with the same measurement date and time, and performs a process to calculate the average energy for each set of measurement values. The control unit 200 uses the average energy calculated for each set of measurement values ​​for a single node as the active power P of that node at each time.

[0024] In step S102, the control unit 200 acquires measurement data for a predetermined period of time from the sensor switches and estimates the reactive power Q of each node at each time within the predetermined period. First, the control unit 200 acquires the measurement values ​​(voltage, current, and phase) of each sensor switch within the sensor switch measurement data 400 for a predetermined period, based on the measurement period 600 stored in the user setting value storage unit 6. Next, the control unit 200 estimates the reactive power Q of each node at each time within the predetermined period of time using the reactive portion of the passing power that can be calculated from the acquired voltage, current, and phase measurements. As an example, the control unit 200 determines the reactive power of the section enclosed by the sensor switches from the measurement values ​​of each sensor switch, and estimates the reactive power Q by apportioning the reactive power of the determined section according to the ratio of the contracted power amount of the consumers connected to each node (pole-mounted transformer) and the measurement values ​​of the smart meters. Note that the method for estimating the reactive power Q of each node is not limited to a specific method. The time at which the reactive power Q is estimated may be the time at which the active power P is derived in step S101. For this reason, the control unit 200 may acquire only the measurement values ​​of each sensor switch at the time at which the active power P is derived from the measurement values ​​of each sensor switch in the sensor switch measurement value data 400, and estimate the reactive power Q.

[0025] In step S103, the control unit 200 performs a power flow calculation using the derived active power P and estimated reactive power Q to derive the voltage at each node at each time point within a predetermined period in the past. The control unit 200 applies the impedance of the distribution lines between nodes to a well-known nonlinear power flow equation in which the active power P and reactive power Q are known quantities and the voltage is an unknown quantity, and derives the voltage at each node at each time point by solving the power flow equation using the active power P and reactive power Q at each time point.

[0026] After deriving the voltage of each node at each time point within a predetermined past period by steps S101 to S103, the control unit 200 terminates the process of deriving the past voltage distribution of the high-voltage distribution lines of the distribution system 9 (step S1 in Figure 6). Note that the process performed by the control unit 200 as step S1 in Figure 6 is not limited to the process of performing steps S101 to S103 as exemplified in Figure 8 in this order. Steps S101 and S102 may be performed in reverse order or in parallel. Also, the process performed by the control unit 200 as step S1 in Figure 7 may be a different process from the process described above, with reference to Figure 8.

[0027] After step S1 in Figure 7, the control unit 200 of the information processing device 2 evaluates the past voltage distribution derived in step S1 and extracts candidate voltage measurement point nodes from among the nodes of the power distribution system 9 (step S2). In step S2, the control unit 200 evaluates the past voltage distribution for each voltage monitoring and control section set in the power distribution system 9 and extracts candidate nodes. In this embodiment, the control unit 200 of the information processing device 2 extracts candidate nodes from among the nodes within the voltage monitoring and control section based on the time change of the voltage gradient within a predetermined period obtained from the voltage distribution at each past time in the voltage monitoring and control section.

[0028] Figures 9A and 9B illustrate an example of a method for extracting candidate voltage measurement point nodes. Figure 9A shows an example of a method for deriving the voltage gradient in a certain voltage monitoring and control section, and Figure 9B shows a graph of an example of the time change of the voltage gradient within a predetermined period. The voltage gradient is the absolute value of the difference between the maximum and minimum voltage values ​​in the voltage distribution at a single time. In other words, the larger the voltage gradient, the higher the risk of voltage deviation. For this reason, the control unit 200 of the information processing device 2 identifies the time when the voltage gradient is maximum within a predetermined period in the past for each voltage monitoring and control section, and extracts the node with the maximum voltage and the node with the minimum voltage in the voltage distribution at the identified time as candidate voltage measurement point nodes. In the following explanation, the node with the maximum voltage in the voltage distribution will be referred to as the "maximum voltage node," and the node with the minimum voltage will be referred to as the "minimum voltage node."

[0029] In step S2, the control unit 200 identifies the maximum voltage node and minimum voltage node in the voltage distribution at each time for each voltage monitoring control section, calculates the voltage gradient, and derives voltage gradient information as illustrated in Figure 9A. If the relationship between the measurement time and the voltage gradient in the voltage gradient information in Figure 9A is represented by the graph illustrated in Figure 9B, the control unit 200 extracts the maximum voltage node and minimum voltage node at time TM where the voltage gradient is maximum as candidate nodes.

[0030] The candidate nodes extracted from a single voltage monitoring and control interval are not limited to the two nodes described above, which are extracted as a single extraction range for the entire predetermined past period. For example, the control unit 200 of the information processing device 2 may divide the predetermined past period into multiple time zones and extract candidate nodes for each time zone from the time change of the voltage gradient in each time zone. As an example, the predetermined past period may be divided into daytime (e.g., 6:00 to 18:00) and nighttime (e.g., 18:00 to 6:00). In this example, four nodes may be extracted as candidate nodes: the maximum voltage node and minimum voltage node at the time when the voltage gradient is maximum in the daytime voltage gradient, and the maximum voltage node and minimum voltage node at the time when the voltage gradient is maximum in the nighttime voltage gradient. The information processing device 2 may further divide daytime and nighttime into weekdays and holidays, respectively, and extract two nodes from each of the four time zones (i.e., a total of eight nodes) as candidate nodes. The control unit 200 of the information processing device 2 refers, for example, to the candidate node extraction conditions 610 in the user setting value storage unit 6 and extracts candidate nodes according to the extraction conditions. Note that one or more candidate nodes extracted based on voltage gradients at different time periods may be identical to other candidate nodes. For example, if four candidate nodes are extracted by dividing a predetermined past period into daytime and nighttime, one candidate node may be identical to any of the other three candidate nodes. If the maximum voltage node extracted as a candidate node from the daytime voltage gradient and the maximum voltage node extracted as a candidate node from the nighttime voltage gradient are identical, the number of candidate nodes will be 3.

[0031] Returning to the explanation of the voltage measurement point information generation process in Figure 7, after extracting candidate nodes in step S2, the control unit 200 of the information processing device 2 determines the smart meter to be used as the voltage measurement point based on the extracted candidate nodes (step S3). As part of the process in step S3, the control unit 200 performs processing according to the flow shown in Figure 10, for example, for each voltage monitoring control section. Figure 10 is a flowchart illustrating an example of the process for determining the smart meter to be used as the voltage measurement point.

[0032] The control unit 200 selects one candidate node and obtains information on the smart meter connected to that candidate node (step S301). The control unit 200 identifies the smart meter connected to the selected candidate node by referring, for example, the topology information 300 in the equipment data storage unit 3. Subsequently, the control unit 200 refers, for example, the smart meter information 340 in the equipment data storage unit 3 to determine whether or not a smart meter capable of measuring and collecting voltage online is connected to the selected candidate node (step S302).

[0033] If it is determined that the system is interconnected (step S302; YES), the control unit 200 determines which smart meters to be used as voltage measurement points from among the smart meters that are interconnected to the selected candidate node and capable of measuring and collecting voltage online (step S303). In step S303, the control unit 200 can determine which smart meters to be used as voltage measurement points up to the upper limit of the number of voltage measurement points allocated to the selected candidate node, for example, based on the constraints of the communication network. After determining which smart meters to be used as voltage measurement points from among the smart meters of the candidate node, the control unit 100 determines whether the number of smart meters determined as voltage measurement points is less than the upper limit allocated to the selected candidate node (step S304). In order to make the determination in step S304, the control unit 200 can refer to the voltage measurement point information 620 in the user setting value storage unit 6. If the control unit 200 determines that the number of determined voltage measurement points is not less than the upper limit (i.e., it is the upper limit) (step S304; NO), it determines whether there are any unselected candidate nodes among the candidate nodes of the voltage monitoring and control section being processed (step S306). If it determines that there are unselected candidate nodes (step S306; YES), the control unit 200 repeats the process from step S301 onwards. If it determines that there are no unselected candidate nodes (step S306; NO), the control unit 200 terminates the process of determining the voltage measurement points of the target voltage monitoring and control section.

[0034] If the control unit 200 determines that there are no smart meters capable of measuring and collecting voltage online connected to the candidate node selected in step S301 (step S302; NO), it determines a smart meter from an alternative node to be used as a voltage measurement point according to predetermined determination criteria (step S305). Also, if the control unit 200 determines that the number of smart meters determined as voltage measurement points in step S303 is less than the upper limit (step S304; YES), it performs the process in step S305. In step S305, the control unit 200 calculates the difference between the upper limit of the number of voltage measurement points assigned to the candidate node selected in step S301 and the number of smart meters determined as voltage measurement points, and determines the number of missing voltage measurement points. Subsequently, the control unit 200 determines and replenishes the missing number of voltage measurement points from among the smart meters of the alternative node. The alternative node is, for example, the node with the closest voltage value adjacent to the selected candidate node in the voltage monitoring and control section that is the subject of processing (i.e., the same section). In step S305, the control unit 200 selects and replenishes smart meters to be used as voltage measurement points from among the smart meters connected to the alternative node until the number of smart meters determined to be voltage measurement points reaches the upper limit. After the processing in step S305, the control unit 200 determines whether or not there are any unselected candidate nodes (step S306). If it is determined that there are unselected candidate nodes (step S306; YES), the control unit 200 repeats the processing from step S301 onwards. If it is determined that there are no unselected candidate nodes (step S306; NO), the control unit 200 terminates the process of determining the smart meters to be used as voltage measurement points for the target voltage monitoring and control section.

[0035] After performing steps S301 to S306 for each voltage monitoring and control section to determine the smart meter to be used as the voltage measurement point, the control unit 200 terminates the process of determining the smart meter to be used as the voltage measurement point (step S3 in Figure 7). Note that the process performed by the control unit 200 as step S3 in Figure 7 is not limited to performing steps S301 to S306 as exemplified in Figure 10 in this order. The process performed by the control unit 200 of the information processing device 2 as step S3 in Figure 7 may be a different process from the process described above with reference to Figure 10. Furthermore, the control unit 200 of the information processing device 2 may perform the process of determining the smart meter to be used as the voltage measurement point in each voltage monitoring and control section in series (sequentially for each voltage monitoring and control section), or it may perform the process for multiple voltage monitoring and control sections in parallel.

[0036] After step S3 in Figure 7, the control unit 200 of the information processing device 2 can derive and store the voltage correction value for the smart meter determined in step S3 (step S4). As part of the process in step S4, the control unit 200 performs, for example, processing for each voltage measurement point according to the flow shown in Figure 11. Figure 11 is a flowchart illustrating an example of the process of deriving and storing the voltage correction value.

[0037] The control unit 200 selects a smart meter determined to be the voltage measurement point and obtains information on the node to which the smart meter is connected (step S401). It then determines whether the connected node is a candidate node extracted in step S2 (step S402). If it is determined to be a candidate node (step S402; YES), correction to the measurement value of the selected smart meter is unnecessary, so the control unit 200 does not derive a voltage correction value and determines whether there are any unselected smart meters (step S405). If there are unselected smart meters (step S405; YES), the control unit 200 repeats the process from step S401 onwards. If there are no unselected smart meters (step S405; NO), the control unit 200 terminates the process of deriving and saving the voltage correction value for the voltage measurement point that is the target of the processing.

[0038] If the node to which the smart meter selected in step S401 is connected is not a candidate node (i.e., it is an alternative node) (step S402; NO), the control unit 200 derives a voltage correction value for the voltage measurement of the selected smart meter based on the relationship between the candidate node and the alternative node in the distribution system 9 (step S403). The method for deriving the voltage correction value in step S403 is not limited to a specific method. The control unit 200 can derive the voltage correction value based on a well-known derivation method. For example, if the voltage estimate of the high-voltage distribution line is obtained online, the control unit 200 of the information processing device 2 can find the difference in the high-voltage distribution line between the candidate node and the alternative node, convert it to low voltage, and use that difference as the voltage correction value. Alternatively, the control unit 200 may, for example, find the average, maximum, and minimum values ​​of the voltage difference between the candidate node and the alternative node from the results of the power flow calculation in step S103 and use them as the voltage correction value.

[0039] After deriving the voltage correction value, the control unit 200 of the information processing device 2 stores the derived voltage correction value in association with the selected smart meter (step S404). In step S404, the control unit 200 records the derived voltage correction value in the voltage measurement point information 700 shown in Figure 6, for example. After step S404, the control unit 200 determines whether or not there are any unselected smart meters (step S405).

[0040] After performing the processes from step S401 onwards for all smart meters determined as voltage measurement points in step S3, the control unit 200 terminates the process shown in Figure 11. Subsequently, the control unit 200 transmits, for example, the voltage measurement point information 700 shown in Figure 6 to the voltage measurement point information storage unit 7 for storage. Note that the process performed by the control unit 200 as step S4 in Figure 7 is not limited to performing steps S401 to S405 as exemplified in Figure 11 in this order. The process performed by the control unit 200 of the information processing device 2 as step S4 in Figure 7 may be a different process from the process described above with reference to Figure 11. Furthermore, the control unit 200 of the information processing device 2 may perform the process of deriving voltage correction values ​​for the voltage measurement values ​​of the smart meters determined as voltage measurement points in series (sequentially for each smart meter) or may perform the process for multiple smart meters in parallel. After completing the process of step S4 in Figure 7, the information processing device 2 terminates the voltage measurement point information generation process for determining the smart meters to be used as voltage measurement points in the power distribution system 9.

[0041] Once the voltage measurement point information generation process is complete, the voltage monitoring device 12 (see Figure 1), which monitors and controls the voltage of the power distribution system 9, collects the voltage measurements of smart meters determined to be voltage measurement points in the power distribution system 9 based on the voltage measurement point information 700 stored in the voltage measurement point information storage unit 7. At this time, the voltage monitoring device 12 corrects the voltage measurements of smart meters connected to alternative nodes other than the candidate nodes among the smart meters determined to be voltage measurement points in the power distribution system 9 based on the voltage correction value recorded in the voltage measurement point information 700.

[0042] As described above, the information processing device 2 according to this embodiment uses the power consumption measurements from the smart meters of the power distribution system 9 and the measurements from the sensor switches to derive the voltage distribution of the high-voltage distribution lines of the power distribution system 9 within a predetermined period, on a node (pole-mounted transformer) basis of the power distribution system 9. Therefore, even when there are many smart meters connected to the high-voltage distribution lines, the information processing device 2 can efficiently derive the voltage distribution of the high-voltage distribution lines at each time point within a predetermined period with a relatively small amount of computation.

[0043] Furthermore, the information processing device 2 divides the high-voltage distribution lines of the power distribution system 9 into multiple voltage monitoring and control sections based on voltage regulation equipment such as SVRs installed on those lines, and determines smart meters to be used as voltage measurement points for each voltage monitoring and control section. Specifically, the information processing device 2 extracts the maximum voltage node and minimum voltage node in the voltage distribution with a large voltage gradient within a predetermined period of the voltage monitoring and control section as candidate nodes for voltage measurement points. Subsequently, the information processing device 2 can determine smart meters connected to the candidate nodes as voltage measurement points. The extracted candidate nodes have a high risk of voltage deviation. Therefore, the information processing device 2 can efficiently determine which smart meters to use as voltage measurement points for understanding the voltage distribution of the distribution lines from among the smart meters of the power distribution system.

[0044] Furthermore, the information processing device 2 can assign multiple voltage measurement points to a single candidate node based on the constraints of the communication network used to collect measurement values ​​from smart meters and sensor switches. For example, suppose eight candidate nodes are extracted from a certain voltage monitoring and control section, and due to the constraints of the communication network, it is possible to acquire voltage online from 32 voltage measurement points within that voltage monitoring and control section as a single voltage measurement value at a single time. In this example, four voltage measurement points can be assigned to each candidate node. Therefore, when monitoring the voltage of the power distribution system 9, for example, the voltage at the location of a candidate node can be determined based on the voltage measurements from four voltage measurement points determined from that candidate node. In this example, by using the result of statistical processing, such as averaging the four voltage measurements, as the voltage of a single candidate node, it is possible to mitigate abnormal values ​​due to noise, etc., and mitigate variations caused by consumers that become voltage measurement points. Therefore, the discrepancy between the actual voltage and the measured value at each candidate node can be suppressed, and the voltage distribution of the high-voltage distribution lines of the power distribution system 9 can be grasped more accurately. Furthermore, when determining the voltage at a candidate node's location based on voltage measurements from multiple smart meters, it is possible to prevent delays in voltage control caused by delays in understanding the voltage distribution (detection of voltage deviations) due to, for example, the inability to acquire measurement values ​​due to communication delays.

[0045] Furthermore, in this embodiment, if the smart meters connected to a candidate node alone are insufficient to determine the number of smart meters required for the voltage measurement points assigned to that candidate node, the information processing device 2 can select a smart meter connected to an alternative node as the smart meter for the voltage measurement point. When a smart meter at an alternative node is determined to be the voltage measurement point of the candidate node, the information processing device 2 derives a voltage correction value for the measurement value measured by the smart meter at the alternative node based on the voltage difference between the candidate node and the alternative node. The derived voltage correction value is stored in the voltage measurement point information storage unit 7 in association with information identifying the smart meter of the corresponding alternative node, for example, as shown in the voltage measurement point information 700 in Figure 6. Therefore, even if the number of smart meters connected to a candidate node that can measure and collect voltage online is small, the discrepancy between the actual voltage and the measured value at each candidate node can be suppressed, and the voltage distribution of the high-voltage distribution lines of the power distribution system 9 can be grasped more accurately.

[0046] The following describes an example configuration of a power distribution system 9 and an example procedure for determining the smart meter to be used as the voltage measurement point for that power distribution system 9. Figure 12 is a diagram illustrating an example of a power distribution system. Figure 13 is a diagram illustrating an example of deriving the past voltage distribution of a power distribution system. Figure 14 is a diagram illustrating an example of setting a voltage monitoring and control section.

[0047] Figure 12 shows a specific example of the power distribution system 9 shown as a single block in Figure 1. The power distribution system 9 comprises a high-voltage distribution line 900 laid starting from a first transformer 911 installed in a power distribution substation. The first transformer 911 may be an on-load tap-changing transformer (LRT). The illustrated high-voltage distribution line 900 includes five sub-high-voltage distribution lines 901 to 905 separated by a second transformer 912, a third transformer 913, and a sensor switch 920 installed on the high-voltage distribution line 900. The second transformer 912 and the third transformer 913 may each be well-known voltage regulators such as stepped voltage regulators (SVRs). In the illustrated high-voltage distribution line 900, the second transformer 912, the sensor switch 920, and the third transformer 913 are arranged in this order from upstream to downstream. In this specification, the terms "first" and "second" preceding components are intended solely to identify multiple identical components. Furthermore, "upstream" and "downstream" in this specification refer to the relative positions of the location and equipment on the high-voltage distribution line 900, respectively. "Upstream" refers to a location closer to the first transformer 911 than a reference location or equipment, and "downstream" refers to a location further from the first transformer 911 than a reference location or equipment. In the following description, the end of each of the partial high-voltage distribution lines 901 to 905 closer to the first transformer 911 (distribution substation) will be referred to as the "upstream end," and the end further from the first transformer 911 will be referred to as the "downstream end."

[0048] In the power distribution system 9 shown in Figure 12, the first pole-mounted transformer 914 and the second pole-mounted transformer 915 are connected to the partial high-voltage distribution line 902 between the second transformer 912 and the sensor switch 920. Furthermore, the third pole-mounted transformer 916 is connected to the partial high-voltage distribution line 905 between the sensor switch 920 and the end of the second distribution line 932. Note that the high-voltage distribution line 900 of the power distribution system 9 may also be connected to pole-mounted transformers other than the three pole-mounted transformers 914-916 exemplified in Figure 12.

[0049] Each of the pole-mounted transformers 914 to 916 is connected to one or more smart meters and customer equipment of low-voltage consumers. The customer equipment includes loads (electrical appliances, etc.) that consume the electricity supplied to the low-voltage consumers by the distribution system 9. The customer equipment may also include power generation equipment such as solar power generation panels. The first pole-mounted transformer 914 is connected to the smart meter 941A and customer equipment 942A of the first low-voltage consumer 940A, and to the smart meter 941B and customer equipment 942B of the second low-voltage consumer. In the numerals and letters of the symbols described herein and in the referenced drawings, the letters are auxiliary symbols (second symbols) for identifying multiple components to which a single numeral symbol (first symbol) has been assigned. The auxiliary symbols are intended solely for identifying multiple components.

[0050] In order to determine the smart meter to be used as the voltage measurement point in the power distribution system 9 illustrated in Figure 12, the information processing device 2 of this embodiment first derives the past voltage distribution of the high-voltage distribution line 900 (step S1 in Figure 7). As the past voltage distribution of the high-voltage distribution line 900, the information processing device 2 derives the voltage at each time point within a predetermined past period at the interconnection point (node) of the pole-mounted transformer to which the consumers are aggregated and interconnected. When deriving the past voltage distribution of the high-voltage distribution line 900 in Figure 12, the information processing device 2 sets the interconnection point of the first pole-mounted transformer 914 to which the first low-voltage consumer 940A etc. is interconnected as the first node 951 on the partial high-voltage distribution line 902, as shown in Figure 13. Similarly, the information processing device 2 sets the connection point of the second pole-mounted transformer 915 as the second node 952 on the partial high-voltage distribution line 902, and sets the connection point of the third pole-mounted transformer 916 as the third node 953 on the partial high-voltage distribution line 905. After setting the nodes on the high-voltage distribution line 900, the information processing device 2 performs the processes of steps S101 to S103 described above, for example with reference to Figure 8, to derive the voltage of each node at each time in the past predetermined period. The node ID in Table 990 illustrated in Figure 13 is information that identifies the node (i.e., the pole-mounted transformer from which the voltage at each time in the past predetermined period is derived).

[0051] After deriving the voltage at each node at each time point, the information processing device 2 evaluates the voltage distribution at each time point for each voltage monitoring and control section and extracts candidate nodes for voltage measurement points (step S2 in Figure 7). A voltage monitoring and control section can be an individual distribution line section obtained by dividing the high-voltage distribution line 900 at the location of voltage regulating equipment such as an SVR. In the distribution system 9 illustrated in Figure 13, the high-voltage distribution line 900 is divided into three voltage monitoring and control sections 961 to 963 as shown in Figure 14 by the second transformer 912 and the third transformer 913. In this example, candidate nodes for voltage measurement points in the second voltage monitoring and control section 962 are extracted from the first node 951, the second node 952, and the third node 953.

[0052] The information processing device 2 first derives the voltage gradient based on the voltage distribution of the second voltage monitoring and control section 962 at each time (measurement date and time) within the past measurement period. The voltage gradient at each time in the second voltage monitoring and control section 962 is derived based on the voltages of the first node 951, the second node 952, and the third node 953 at each time. As described above with reference to Figures 9A and 9B, the information processing device 2 extracts the maximum voltage node and the minimum voltage node, which have the highest and lowest voltages respectively in the voltage distribution at time TM where the voltage gradient is maximum, as candidate voltage measurement point nodes. For example, from the second voltage monitoring and control section 962 in Figure 14, the first node 951 and the third node 953 are extracted as candidate voltage measurement point nodes.

[0053] After extracting candidate nodes for voltage measurement points, the information processing device 2 determines which smart meter will be used as the voltage measurement point for each candidate node for each voltage monitoring and control section (step S3 in Figure 7). If the first node 951 in Figure 14 is extracted as a candidate node for voltage measurement points, the information processing device 2 determines which smart meter will be used as the voltage measurement point from among the smart meters 941A and 941B, etc., connected to the first pole-mounted transformer 914 (see Figure 12) corresponding to the first node 951. For example, if the number of voltage measurement points assigned to the first node 951 is "1" due to communication network constraints, the information processing device 2 determines which smart meter among the smart meters 941A and 941B is capable of measuring and collecting voltage online to be used as the voltage measurement point. If the number of smart meters connected to the first pole-mounted transformer 914 and capable of being determined as voltage measurement points is less than the number of voltage measurement points assigned to the first node 951, the information processing device 2 can determine (add) a smart meter at an alternative node other than the first node 951 to be used as a smart meter for the voltage measurement point of the first node 951. For example, the information processing device 2 may designate the second node 952 as an alternative node and determine (add) a smart meter connected to the second pole-mounted transformer 915 (see Figure 12) corresponding to the second node 952 to be used as a smart meter for the voltage measurement point of the first node 951. In this case, the information processing device 2 derives a voltage correction value to correct the voltage measured by the smart meter at the second node 952 that has been selected as the smart meter for the voltage measurement point of the first node 951. The information processing device 2 derives the voltage correction value according to the well-known derivation method described above. In this way, the information processing device 2 generates voltage measurement point information 700, which includes smart meters to be used as voltage measurement points for the power distribution system 9 illustrated in Figure 12, and voltage correction values ​​for the voltage measurements of the smart meters, and stores it in the voltage measurement point information storage unit 7.

[0054] Figure 15 is a flowchart illustrating an example of voltage monitoring and control processing using voltage measurement point information. The voltage monitoring and control processing illustrated in Figure 15 is performed by the voltage monitoring device 12 (see Figure 1) by referring to the voltage measurement point information 700 etc. stored in the voltage measurement point information storage unit 7. The voltage monitoring device 12 has a control unit, a storage unit, and a communication unit, and the control unit is the main unit that can perform processing according to the flowchart illustrated in Figure 15. In one example, the voltage monitoring device 12 may be a computer capable of executing a program that causes a processor such as a CPU to execute processing according to the flowchart shown in Figure 15. For example, the voltage monitoring device 12 repeats the series of processes in steps S11 to S13 of Figure 15 at predetermined time intervals.

[0055] The voltage monitoring device 12 acquires voltage measurements online from each of the smart meters designated as voltage measurement points in the power distribution system 9 to be monitored (step S11), and determines the voltage measurement value for each node (step S12). In step S11, the control unit of the voltage monitoring device 12 acquires voltage measurements from each of the smart meters designated as voltage measurement points in the power distribution system 9 based on the voltage measurement point information 700 (see Figure 6) stored in the voltage measurement point information storage unit 7. If there is a smart meter associated with a voltage correction value in the voltage measurement point information 700, the voltage monitoring device 12 corrects the voltage measurement value acquired from that smart meter with the voltage correction value. In step S12, the control unit of the voltage monitoring device 12 determines the voltage measurement value for each node based on the voltage measurement values ​​for each node acquired in step S11. In step S12, the control unit of the voltage monitoring device 12 performs statistical processing on multiple voltage measurement values ​​for a single node to derive the average value, maximum value, minimum value, etc., and uses these values ​​as the voltage measurement value for that node.

[0056] After step S12, the control unit of the voltage monitoring device 12 determines whether there is a deviation from the voltage management range based on the voltage distribution for each voltage monitoring control section and controls the voltage of the power distribution system 9 (step S13). In step S13, the voltage monitoring device 12 derives the voltage distribution for each voltage monitoring control section based on the measured voltage at each voltage measurement point and determines whether there is a deviation from the upper or lower limit of the voltage management range. If there is a deviation from the voltage management range, the voltage monitoring device 12 controls the output voltage of the upstream LRT, SVR, etc. so that the voltage in the deviated range in the voltage monitoring control section falls within the voltage management range.

[0057] The voltage monitoring and control processing performed by the voltage monitoring device 12 is not limited to the steps S11 to S13 exemplified in Figure 15 being performed in this order. The voltage monitoring and control processing performed by the voltage monitoring device 12 may be different from the processing described above, with reference to Figure 15. In addition, the voltage monitoring device 12 may acquire the measured voltage value from equipment other than the smart meter (for example, a sensor switch, etc.) in step S11 and use it to monitor the voltage distribution.

[0058] Figures 16 and 16B illustrate examples of voltage distributions monitored by a voltage monitoring device. The graphs in Figures 16A and 16B show examples of voltage distributions for a single voltage monitoring and control section at a given time. For simplicity, the graphs in Figures 16A and 16B illustrate the voltage distribution when four candidate nodes N1 to N4 are extracted from the voltage monitoring and control section, and one voltage measurement point is assigned to each candidate node N1 to N4. That is, in the graphs in Figures 16A and 16B, the black squares (■) may represent measured voltage values ​​(actual values) measured by the smart meter, and the white squares (□) may represent voltages corrected by voltage correction values. Node Nx in the graph of Figure 16B is an alternative node for the fourth candidate node N4. In other words, since the pole-mounted transformer corresponding to the fourth candidate node N4 is not connected to a smart meter capable of measuring and collecting voltage online, the smart meter of the alternative node Nx adjacent to the fourth candidate node N4 is determined to be the voltage measurement point for the fourth candidate node N4. For this reason, in the voltage measurement point information 700, a voltage correction value that corrects the measured voltage is associated with the smart meter (the smart meter of the alternative node Nx) determined to be the voltage measurement point for the fourth candidate node N4. Therefore, when the voltage monitoring device 12 plots the measured voltage obtained from the smart meter of the alternative node Nx on the voltage distribution, it plots the corrected voltage value based on the voltage correction value at the location of the fourth candidate node N4 on the distribution line.

[0059] The voltage monitoring device 12 derives the voltage distribution of each voltage monitoring and control section of the power distribution system 9 at predetermined measurement intervals and monitors whether the voltage has deviated. At this time, the voltage monitoring device 12 estimates the voltage distribution of the entire section (for example, the voltage distribution shown by a thick dotted line in Figure 16A) based on discrete voltage measurement values ​​or corrected voltage measurement values ​​obtained from multiple voltage measurement points (smart meters) within the voltage monitoring and control section, as illustrated in Figures 16A and 16B, and the power distribution lines within the section. In the method for determining the voltage measurement points (smart meters) according to the embodiment described above, the maximum voltage node and minimum voltage node in the voltage distribution with the maximum voltage gradient among the past voltage distributions of the voltage monitoring and control section are designated as candidate nodes (candidate voltage measurement points). The voltage monitoring device 12 determines that the voltage has deviated when the voltage distribution falls outside the voltage management range illustrated in Figures 16A and 16B, so the larger the voltage gradient, the higher the risk of voltage deviation. Therefore, the voltage monitoring device 12 can monitor voltage using voltage measurements taken at locations with a high risk of voltage deviation in each voltage monitoring and control section, enabling early detection of voltage deviations. Furthermore, the voltage monitoring device 12 uses the connection point (node) between the pole-mounted transformer, to which the smart meter of a low-voltage consumer is connected, and the high-voltage distribution line as the voltage measurement point. Therefore, the voltage distribution of the high-voltage distribution line can be efficiently derived and understood using the voltage measured by the smart meter connected to the pole-mounted transformer.

[0060] The embodiments of the present invention are not limited to those described above, and may be modified, substituted, or transformed in various ways without departing from the spirit of the technical idea. Furthermore, if the technical idea can be realized in a different way by advances in the technology or by other derived technologies, it may be implemented by that method. Accordingly, the claims cover all embodiments that may fall within the scope of the technical idea.

[0061] The following summarizes the key features of the embodiment described above. The voltage measurement point determination system according to the above-described embodiment includes: an equipment data storage unit for storing equipment data of high-voltage distribution lines in a distribution system; a first measurement data storage unit for storing first measurement data measured by the equipment of the distribution system during a predetermined measurement period; a second measurement data storage unit for storing second measurement data measured by smart meters of customers in the distribution system during the predetermined measurement period; and a control unit that determines, from among the smart meters of the customers, a smart meter to be used as a voltage measurement point for understanding the voltage distribution of the distribution system, based on the equipment data, the first measurement data, and the second measurement data.

[0062] In the voltage measurement point determination system according to the above embodiment, the control unit derives the past voltage distribution of the high-voltage distribution line based on the equipment data, the first measurement data, and the second measurement data, extracts candidate voltage measurement points from among the transformers connected to the high-voltage distribution line based on the derived past voltage distribution, and determines the smart meter to be the voltage measurement point if a smart meter capable of measuring voltage is connected to the transformer extracted as a candidate voltage measurement point.

[0063] In the voltage measurement point determination system according to the above embodiment, if a plurality of smart meters capable of measuring the voltage are connected to the transformer extracted as a candidate for the voltage measurement point, the control unit determines a predetermined number of smart meters from the plurality of smart meters as the voltage measurement point.

[0064] In the voltage measurement point determination system according to the above embodiment, if a smart meter capable of measuring voltage is not connected to the transformer extracted as a candidate for the voltage measurement point, the control unit determines a smart meter capable of measuring voltage connected to an alternative transformer other than the transformer extracted as a candidate for the voltage measurement point as the voltage measurement point.

[0065] In the voltage measurement point determination system according to the above embodiment, the control unit is connected to the alternative transformer and derives a correction value that corrects the measured voltage of the smart meter, which is capable of measuring the voltage determined at the voltage measurement point, to the voltage measured at a candidate location of the voltage measurement point in the high-voltage distribution line.

[0066] In the voltage measurement point determination system according to the above embodiment, the control unit derives the correction value based on the difference between the voltage at the connection point of the transformer to the high-voltage distribution line, which has been extracted as a candidate for the voltage measurement point in the past voltage distribution, and the voltage at the connection point of the replacement transformer to the high-voltage distribution line.

[0067] In the voltage measurement point determination system according to the above embodiment, the control unit determines the number of candidate voltage measurement points for understanding the voltage distribution of the distribution system and the number of smart meters to be determined as voltage measurement points, based on the number of voltage measurement points that can be set on the high-voltage distribution line.

[0068] In the voltage measurement point determination system according to the above embodiment, the control unit divides the high-voltage distribution line into a plurality of voltage monitoring and control sections based on the equipment data, and determines the smart meter to be used as the voltage measurement point for each voltage monitoring and control section.

[0069] The voltage measurement point determination device according to the above-described embodiment includes a storage unit that stores equipment data of high-voltage distribution lines in a distribution system, first measurement data measured by the equipment of the distribution system during a predetermined measurement period, and second measurement data measured by smart meters of customers in the distribution system during the predetermined measurement period, and a control unit that determines from among the smart meters of the customers to be used as voltage measurement points for understanding the voltage distribution of the distribution system, based on the equipment data, the first measurement data, and the second measurement data.

[0070] The voltage measurement point determination device according to the above-described embodiment includes a communication unit that acquires equipment data of high-voltage distribution lines in a distribution system, first measurement data measured by the equipment of the distribution system during a predetermined measurement period, and second measurement data measured by smart meters of customers in the distribution system during the predetermined measurement period from an external device, and a control unit that determines from among the smart meters of the customers to be used as voltage measurement points for understanding the voltage distribution of the distribution system based on the acquired equipment data, the first measurement data, and the second measurement data.

[0071] The voltage measurement point determination method according to the above-described embodiment involves a computer acquiring equipment data of high-voltage distribution lines in a distribution system, first measurement data measured by the equipment of the distribution system during a predetermined measurement period, and second measurement data measured by smart meters of consumers in the distribution system during the predetermined measurement period from an external device. Based on the acquired equipment data, the first measurement data, and the second measurement data, the computer then determines from among the smart meters of the consumers to be used as a voltage measurement point for understanding the voltage distribution of the distribution system.

[0072] The program according to the above-described embodiment causes the computer to perform the following processes: acquiring equipment data of high-voltage distribution lines in the distribution system, first measurement data measured by the equipment of the distribution system during a predetermined measurement period, and second measurement data measured by smart meters of customers in the distribution system during the predetermined measurement period, from an external device; and determining, based on the acquired equipment data, the first measurement data, and the second measurement data, a smart meter from among the smart meters of the customers to be used as a voltage measurement point for understanding the voltage distribution of the distribution system. [Industrial applicability]

[0073] As described above, the present invention can efficiently determine which smart meters to use as voltage measurement points for understanding the voltage distribution of power lines from among the smart meters of a power distribution system, and is particularly useful for power distribution systems with a large number of interconnected smart meters and power distribution systems with long power lines for high-voltage power lines. [Explanation of Symbols]

[0074] 1…Voltage measurement point determination system, 2...Information processing device, 200...Control unit, 210...Storage unit, 220...Communication unit, 3... Equipment data storage unit, 300... Topology information, 310... Voltage monitoring and control section information, 320... Location information, 330... Impedance information, 340... Smart meter information, 4…Sensor switch measurement data storage unit, 5…Smart meter measurement data storage unit, 6...User setting value storage unit, 600...Measurement period, 610...Candidate node extraction conditions, 620...Voltage measurement point information, 7...Voltage measurement point information storage unit, 700...Voltage measurement point information, 9...Distribution system, 900...High-voltage distribution line, 901~905...Partial high-voltage distribution line, 911, 912, 913...Transformer, 914, 915...Pole-mounted transformer, 920...Sensor switch, 941, 941A~941F...Smart meter, 942, 942A~942F...Customer equipment, 951~953...Node, 961~963...Voltage monitoring and control section 10, 11…communication networks, 12…Voltage monitoring device

Claims

1. Equipment data storage unit for storing equipment data for high-voltage distribution lines in the power distribution system, A first measurement data storage unit that stores first measurement data measured by the equipment of the power distribution system during a predetermined measurement period, A second measurement data storage unit stores second measurement data measured by smart meters of customers in the distribution system during the predetermined measurement period, A control unit that determines, based on the equipment data, the first measurement data, and the second measurement data, a smart meter from among the smart meters of the customer to be used as a voltage measurement point for understanding the voltage distribution of the power distribution system, A voltage measurement point determination system equipped with the following features.

2. The control unit, Based on the equipment data, the first measurement data, and the second measurement data, the past voltage distribution of the high-voltage distribution line is derived. Based on the derived past voltage distribution, candidate voltage measurement points are extracted from among the transformers connected to the high-voltage distribution line. If a smart meter capable of measuring voltage is connected to the transformer that has been extracted as a candidate for the voltage measurement point, the smart meter is determined to be the voltage measurement point. The voltage measurement point determination system according to claim 1.

3. The voltage measurement point determination system according to claim 2, wherein if a plurality of smart meters capable of measuring the voltage are connected to the transformer extracted as a candidate for the voltage measurement point, the control unit determines a predetermined number of smart meters from the plurality of smart meters as the voltage measurement point.

4. The voltage measurement point determination system according to claim 2, wherein if a smart meter capable of measuring voltage is not connected to the transformer extracted as a candidate for the voltage measurement point, the control unit determines a smart meter capable of measuring voltage connected to an alternative transformer other than the transformer extracted as a candidate for the voltage measurement point as the voltage measurement point.

5. The voltage measurement point determination system according to claim 4, wherein the control unit is connected to the alternative transformer and derives a correction value that corrects the measured voltage of the smart meter, which is capable of measuring the voltage determined at the voltage measurement point, to the voltage measured at a candidate location of the voltage measurement point in the high-voltage distribution line.

6. The voltage measurement point determination system according to claim 5, wherein the control unit derives the correction value based on the difference between the voltage at the connection point of the transformer to the high-voltage distribution line, which has been extracted as a candidate for the voltage measurement point in the past voltage distribution, and the voltage at the connection point of the alternative transformer to the high-voltage distribution line.

7. The voltage measurement point determination system according to claim 1, wherein the control unit determines the number of candidate voltage measurement points for understanding the voltage distribution of the power distribution system and the number of smart meters to be determined as the voltage measurement points, based on the number of voltage measurement points that can be set on the high-voltage power distribution line.

8. The voltage measurement point determination system according to claim 1, wherein the control unit divides the high-voltage distribution line into a plurality of voltage monitoring and control sections based on the equipment data, and determines the smart meter to be used as the voltage measurement point for each voltage monitoring and control section.

9. A storage unit that stores equipment data for high-voltage distribution lines in a power distribution system, first measurement data measured by the equipment of the power distribution system during a predetermined measurement period, and second measurement data measured by smart meters of consumers in the power distribution system during the predetermined measurement period. A control unit that determines, based on the equipment data, the first measurement data, and the second measurement data, a smart meter from among the smart meters of the customer to be used as a voltage measurement point for understanding the voltage distribution of the power distribution system, A voltage measurement point determination device equipped with the following features.

10. A communication unit that acquires from an external device equipment data of high-voltage distribution lines in a distribution system, first measurement data measured by the equipment of the distribution system during a predetermined measurement period, and second measurement data measured by smart meters of consumers in the distribution system during the predetermined measurement period. A control unit that determines, based on the acquired equipment data, the first measurement data, and the second measurement data, a smart meter from among the smart meters of the customer to be used as a voltage measurement point for understanding the voltage distribution of the power distribution system, A voltage measurement point determination device equipped with the following features.

11. Computers Equipment data of high-voltage distribution lines in the distribution system, first measurement data measured by the equipment of the distribution system during a predetermined measurement period, and second measurement data measured by smart meters of consumers in the distribution system during the predetermined measurement period are acquired from an external device. Based on the acquired equipment data, the first measurement data, and the second measurement data, a smart meter is selected from among the smart meters of the customer to be used as a voltage measurement point for understanding the voltage distribution of the power distribution system. A method for determining the voltage measurement point for processing.

12. On the computer, A process for acquiring equipment data of high-voltage distribution lines in a distribution system, first measurement data measured by the equipment of the distribution system during a predetermined measurement period, and second measurement data measured by smart meters of consumers in the distribution system during the predetermined measurement period, from an external device. Based on the acquired equipment data, the first measurement data, and the second measurement data, a process is performed to determine from among the smart meters of the customer to be used as a voltage measurement point for understanding the voltage distribution of the power distribution system. A program that executes the command.

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