JP7206657B2 - POWER THEFT MONITORING SYSTEM, POWER THEFT MONITORING DEVICE, POWER THEFT MONITORING METHOD AND PROGRAM - Google Patents

Description

TECHNICAL FIELD Embodiments of the present invention relate to a power theft monitoring system, a power theft monitoring device, a power theft monitoring method, and a program.

2. Description of the Related Art Conventionally, there is known a device for detecting power theft based on a field image of a distribution line and individual power contract information (see, for example, Patent Literature 1).

JP 2014-93931 A

However, in the conventional technology as described in Patent Document 1, it is necessary to go back to the site and acquire an on-site image of the distribution line suspected of power theft before the power theft detection. It takes
SUMMARY OF THE INVENTION It is an object of the present invention to provide a power theft monitoring system, a power theft monitoring device, a power theft monitoring method, and a program capable of reducing the trouble of detecting power theft.

One aspect of the present invention is a power theft monitoring system that monitors a distribution system that supplies power to a plurality of consumers through distribution lines drawn from a distribution substation, wherein each of the plurality of consumers A load current characteristic calculation unit that calculates load current characteristics based on a load current value detected by a current sensor of a watt-hour meter, a load current characteristic storage unit that stores the calculation result of the load current characteristics, and a plurality of When the detected current flowing through the distribution line detected by the current detection unit includes a stolen power current that is an uncontracted current, the calculation result of the load current characteristics stored in the load current characteristics storage unit and the load current a correlation coefficient calculation unit that calculates a correlation coefficient with the load current characteristics calculated by the characteristic calculation unit for each of the plurality of consumers; and a correlation coefficient determination unit that determines whether or not the correlation coefficient is equal to or greater than a threshold value, and if the correlation coefficient determination unit determines that the electricity theft current is caused by a person other than the contract consumer non-contract consumers receive power from distribution lines, and the correlation coefficient determination unit determines that the correlation coefficient is less than a threshold value, the cause of the power theft current is determined to be that another contract customer is stealing power supplied from the distribution line to the contract customer, or that a non-contract customer is receiving power supplied to the contract customer from the distribution line. A power theft monitoring system comprising a power theft generation source determination unit for detecting power theft.
Further, in the power theft monitoring system of one aspect of the present invention, based on the predicted current value calculated based on the contract capacity indicated by the power supply contract and the detected value of the detected current detected by the current detection unit , a power theft determination unit that determines whether or not there is a power theft current that is an uncontracted current among the detected currents flowing through the distribution line; If it is determined that there is a Calculate for each of the consumers.
Further, in the power theft monitoring system of one aspect of the present invention, one or both of missing data and error data is extracted from the detected current value detected by the current detection unit , and the extracted missing data and the error data are from the detected current value, and the power theft determination unit removes either one or both of the missing data and the error data Based on the removed detected current value, it is determined whether or not there is an uncontracted electricity theft current among the detected currents flowing through the distribution line.
Further, in the electricity theft monitoring system of one aspect of the present invention, when the correlation coefficient determination unit determines that the correlation coefficient is less than a threshold value, the load current characteristic calculated by the load current characteristic calculation unit A load current characteristic determination unit that determines whether or not the load current increases, the power theft generation source determination unit determines the cause of the power theft current based on the determination result of the load current characteristic determination unit.
Further, in the power theft monitoring system according to one aspect of the present invention, the power theft generation source determination unit determines that the load current of the load current characteristic decreases, if the determination result of the load current characteristic determination unit indicates that the load current decreases. It is determined that the uncontracted consumer is connected to the service line that connects the customer with the contracted consumer.
Further, in the power theft monitoring system of one aspect of the present invention, the power theft generation source determining unit, when the determination result of the load current characteristics determining unit indicates that the load current of the load current characteristics increases, and the contracted consumer are connected to the contracted consumer other than the contracted consumer.
Further, in the power theft monitoring system according to one aspect of the present invention, the power theft generation source determining unit determines that the correlation coefficient is equal to or greater than a threshold, and the uncontracted power from the distribution line It is determined that the uncontracted current is flowing to the consumers of

Further, a power theft monitoring device according to one aspect of the present invention is a power theft monitoring device for monitoring a power distribution system that supplies power to a plurality of consumers through distribution lines drawn from a distribution substation. a load current characteristic calculating unit that calculates a load current characteristic based on a load current value detected by a current sensor of a watt-hour meter provided in each of the consumers; and a load current characteristic that stores the calculation result of the load current characteristic. calculating the load current characteristics stored in the load current characteristics storage unit when the detected currents flowing through the distribution lines detected by the storage unit and the plurality of current detection units include electricity theft currents that are uncontracted currents. a correlation coefficient calculation unit for calculating a correlation coefficient between the result and the load current characteristics calculated by the load current characteristics calculation unit for each of the plurality of consumers; a correlation coefficient determination unit configured to determine whether or not a correlation coefficient is equal to or greater than a threshold; and a cause of generation of the electricity theft current when the correlation coefficient determination unit determines that the correlation coefficient is equal to or greater than the threshold. is determined that an uncontracted customer other than a contracted customer receives power supply from a distribution line, and the correlation coefficient determination unit determines that the correlation coefficient is less than a threshold, The cause of the stolen electricity current is that another contract customer steals the power supplied from the distribution line to the contract customer, or the non-contract customer supplies power from the distribution line to the contract customer. A power theft monitoring device comprising a power theft generation source determination unit that determines that a power theft source is detected.

Further, a power theft monitoring method according to one aspect of the present invention is a monitoring method executed by a monitoring system that monitors a distribution system that supplies power to a plurality of consumers through distribution lines drawn from a distribution substation. a step of calculating a load current characteristic based on a load current value detected by a current sensor of a watt-hour meter provided for each of the plurality of consumers, and a step of storing the calculation result of the load current characteristic; When the detected current flowing through the distribution line detected by the plurality of current detection units includes a stolen power current that is an uncontracted current, the calculated result of the load current characteristics stored in the storing step and the calculated a step of calculating a correlation coefficient with the load current characteristics calculated in step for each of the plurality of consumers; a step of determining whether the correlation coefficient is equal to or greater than a threshold; is equal to or greater than the threshold, the cause of the electricity theft current is determined to be that an uncontracted customer other than the contracted customer receives power supply from the distribution line, and the correlation coefficient is the threshold If it is determined that the current is less than the above, the cause of the theft current is that another contracted customer steals the power supplied from the distribution line to the contracted customer, or the non-contracted customer steals the power from the distribution line. and determining that power supplied to the consumer is received .

Further, according to one aspect of the present invention, a computer of a monitoring system that monitors a distribution system that supplies power to a plurality of consumers through distribution lines drawn from a distribution substation has calculating a load current characteristic based on a load current value detected by a current sensor of a watt-hour meter; storing the calculation result of the load current characteristic; When the detected current flowing through the distribution line includes a stolen current that is an uncontracted current, the calculation result of the load current characteristics stored in the storing step and the load current characteristics calculated in the calculating step. calculating a correlation coefficient for each of the plurality of consumers; determining whether the correlation coefficient is greater than or equal to a threshold; and determining that the correlation coefficient is greater than or equal to the threshold. , when it is determined that the cause of the electricity theft current is that non-contracted consumers other than contracted consumers receive power supply from distribution lines, and the correlation coefficient is less than a threshold, The cause of the stolen electricity current is that another contract customer steals the power supplied from the distribution line to the contract customer, or the non-contract customer supplies power from the distribution line to the contract customer. and a step of determining that the program has received

According to the present invention, it is possible to reduce the trouble of detecting power theft.

It is a figure which shows an example of the installation of the monitoring object of the electricity theft monitoring system which concerns on this embodiment. 1 is a diagram illustrating an example of a configuration of a power theft monitoring system according to a first embodiment; FIG. FIG. 4 is a diagram showing an example of contract types of power supply contracts; It is a figure which shows an example of the load curve in each system|strain of distribution line DST. FIG. 4 is a diagram showing an example of the composition ratio of the contract amount for each contract type with respect to the load curve of the distribution line DST. FIG. 5 is a diagram showing an example of cluster analysis results by a predicted current calculator of the power theft monitoring device according to the first embodiment; It is a figure which shows an example of a load current characteristic. FIG. 4 is a diagram illustrating an example of power theft monitoring operation according to the first embodiment; FIG. 5 is a diagram showing an example of calculation results of a stolen power current by a stolen power determination unit of the power stolen monitoring device according to the first embodiment; FIG. 10 is a diagram illustrating an example of a configuration of a power theft monitoring system according to a second embodiment; FIG. FIG. 10 is a diagram illustrating an example of power theft monitoring operation according to the second embodiment; FIG. 10 is a diagram illustrating an example of power theft monitoring operation according to the second embodiment;

Next, a power theft monitoring system, a power theft monitoring device, a power theft monitoring method, and a program according to the present embodiment will be described with reference to the drawings. The embodiments described below are merely examples, and embodiments to which the present invention is applied are not limited to the following embodiments.
In addition, in all the drawings for explaining the embodiments, the same reference numerals are used for the parts having the same functions, and repeated explanations are omitted.
In addition, "based on XX" in the present application means "based on at least XX", and includes cases based on other elements in addition to XX. Moreover, "based on XX" is not limited to the case of using XX directly, but also includes the case of being based on what has been calculated or processed with respect to XX. "XX" is an arbitrary element (for example, arbitrary information).

(First embodiment)
A power theft monitoring system according to the first embodiment will be described below with reference to the drawings. First, with reference to FIG. 1, an overview of equipment to be monitored by the power theft monitoring device 10 will be described.
(Overview of power theft monitoring system)
FIG. 1 is a diagram illustrating an example of equipment to be monitored by a power theft monitoring system according to the first embodiment. In this example, the facility to be monitored is a power distribution system 1 for power supply. The distribution system 1 includes a substation SB, distribution lines DST (distribution line DST-A, distribution line DST-B), and utility poles EP (pole EPA0, utility pole EPA1, utility pole EPA2, utility pole EPA3, utility pole EPB1, utility pole EPB2). Prepare.
The substation SB converts power supplied from a power plant (not shown) and supplies the converted power to the distribution line DST.
The distribution line DST distributes power supplied from the substation SB to consumers. In this example, the distribution line DST has two types of systems, an A system (distribution line DST-A) and a B system (distribution line DST-B). Utility pole EP (electric pole EPA0, utility pole EPA1, utility pole EPA2, utility pole EPA3) suspends distribution line DST-A, and utility pole EP (electric pole EPB1, utility pole EPB2) suspends distribution line DST-B.
A pole transformer (not shown) is installed on the utility pole EP. The pole transformer converts the voltage of the power supplied from the distribution line DST into a voltage suitable for supply. A service line SL (service line SLA1, service line SLA2, service line SLA3, service line SLB1, service line SLB2) is installed from the pole-mounted transformer to the customer. A consumer is a person who receives and uses electricity, such as a residence, a commercial facility, or a factory. The power consumed by the house, or this house, is also referred to as a house load H hereinafter. Moreover, the electric power consumed by a commercial facility or factory, or this commercial facility or factory is also described as commercial and industrial load F.

Here, the distribution line DST includes a high-voltage distribution line and a low-voltage distribution line. A high voltage distribution line is a distribution line from a substation SB to a pole transformer. A low-voltage distribution line is a distribution line from a pole-mounted transformer to a service line SL. In this case, the electric power supplied from the substation SB is distributed to consumers via a high-voltage distribution line, a pole transformer, a low-voltage distribution line, and a service line SL in this order. In the following description, it is assumed that power supplied from the substation SB is distributed to consumers via a distribution line DST, a pole-mounted transformer, and a service line SL in this order. That is, in the distribution line DST, the distinction between the high-voltage distribution line and the low-voltage distribution line is omitted.
Note that the distribution line DST may be divided into a plurality of sections. Specifically, the distribution line DST-A of system A is divided into three sections: section SEC-A1, section SEC-A2, and section SEC-A3. The distribution line DST-B of system B is divided into two sections, section SEC-B1 and section SEC-B2.
Each consumer receives power supply from a pole-mounted transformer installed on the utility pole EP via a service line SL. Specifically, the residential load HA1 receives power supply from a pole transformer installed on the utility pole EPA1 through the service line SLA1. The residential load HA2 receives power from a pole transformer installed on the utility pole EPA2 via the service line SLA2. Commercial and industrial load FA1 is supplied with electric power from a pole-mounted transformer installed on utility pole EPA3 via service line SLA3. Similarly, the residential load HB2 is supplied with power from a pole-mounted transformer installed on the utility pole EPB2 through the service line SLB2.

Here, the consumers are divided into regular consumers who receive power supply based on the power supply contract concluded with the power supplier, and non-regular consumers who receive power supply not based on the power supply contract. Suppose there is a consumer. Furthermore, it is assumed that even legitimate consumers have consumers who steal power from power supplied to other legitimate consumers.
Regular consumers are also referred to as contract consumers or contract loads HA, FA. Non-regular consumers are also referred to as non-contract consumers or non-contract load NC. In addition, the use of power supplied by the power distribution system 1 by non-contracted consumers or non-contracted loads NC, and contracted consumers or contracted loads HA and FA to other contracted consumers or contracted loads HA and FA Stealing power from power is also referred to as power theft. In other words, power theft refers to the use of power by non-contract consumers or non-contract loads NC, and the use of power supplied to other contract consumers or contract loads HA and FA by contract consumers or contract loads HA and FA. be.

In the example shown in FIG. 1, the uncontracted load NCA1 receives electric power from the distribution line DST-A by connecting the uncontracted lead-in line NCL1 to the pole transformer installed on the utility pole EPA0 of the distribution line DST-A. receive supply. Here, for the use of power by the uncontracted load NCA1, the power charge based on the power supply contract cannot be billed. In other words, power is exploited when the uncontracted load NCA1 exists. Thus, power theft is a problem for power suppliers.
Also, the uncontracted load NCA2 connects the uncontracted lead-in line NCL2 to the lead-in line SLA3 connected to the pole-mounted transformer installed on the utility pole EPA3 of the distribution line DST-A. receive supply. Here, for the use of power by the uncontracted load NCA2, the power charge based on the power supply contract is added to the commercial and industrial load F and billed. In other words, commercial facilities and factories will be billed for electricity that they do not use, and electricity charges will not be billed fairly. Thus, power theft is a problem for power suppliers. FIG. 1 shows the case where the uncontracted load NCA2 is connected to the transformer of the utility pole EPA3 and power is received (stealed) directly from the transformer, but the present invention is not limited to this example. For example, uncontracted load NCA2 may be connected to industrial load FA1 to receive power (steal power) via commercial and industrial loads.
Also, the contract load HB1 (residential load HB1) is generated by connecting the contract service line SLB1 to the service line SLB2 connected to the pole transformer installed on the utility pole EPB2 of the distribution line DST-B. to the residential load HB2. Here, for the use of power by the contracted load HB1, the power charge based on the power supply contract is added to the residential load HB2 and billed. In other words, the contractor of the house HB2 will be billed for the power that is not used, and will not be billed fairly. Thus, power theft is a problem for power suppliers. In FIG. 1, the contract load HB1 connects the contract lead-in line SLB1 to the lead-in line SLB2 connected to the pole transformer installed on the utility pole EPB2 of the distribution line DST-B. Although the case where the power supplied to the load HB2 is stolen has been described, the present invention is not limited to this example. For example, when the contract load HB1 is connected to the residential load HB2, the existing contractor (contract load HB1) may receive (steal) power supplied to the neighboring house (residential load HB2).
Therefore, it is desirable for the power supplier to be able to detect the use of power by the uncontracted load NCA1, the uncontracted load NCA2, and the contracted load HB1, ie, power theft. A mechanism for detecting power theft by the power theft monitoring device 10 will be described below.

FIG. 2 is a diagram illustrating an example of the configuration of the power theft monitoring system according to the first embodiment. The power theft monitoring system includes a facility information storage unit 20, a contract information storage unit 30, a current detection unit 40-1, a current detection unit 40-2, . ), a power meter 50-1, a power meter 50-2, .
The power theft monitoring device 10 includes a CPU (Central Processing Unit), a memory, an auxiliary storage device, and the like connected via a bus. Power theft determination section 103, load current characteristic calculation section 104, load current characteristic storage section 105, correlation coefficient calculation section 106, correlation coefficient determination section 107, load current characteristic determination section 108, power theft source determination 109.
Note that a predicted current calculation unit 101, a detected current acquisition unit 102, a power theft determination unit 103, a load current characteristic calculation unit 104, a load current characteristic storage unit 105, a correlation coefficient calculation unit 106, and a correlation coefficient determination unit All or part of the functions of the unit 107, the load current characteristic determination unit 108, and the power theft generation source determination unit 109 are implemented by LSI (Large Scale Integration), ASIC (Application Specific Integrated Circuit), or PLD (Programmable Logic Device). or FPGA (Field Programmable Gate Array).
The power theft monitoring program may be recorded on a computer-readable recording medium. Computer-readable recording media include portable media such as flexible disks, magneto-optical disks, ROMs and CD-ROMs, and storage devices such as hard disks incorporated in computer systems. The power theft monitoring program may be transmitted via an electric communication line.

The predicted current calculation unit 101 calculates a predicted current value, which is a predicted value of the load current, based on the contract capacity indicated by the power supply contract. The predicted current calculation unit 101 is connected to the equipment information storage unit 20 and the contract information storage unit 30 .
The facility information storage unit 20 stores information on power supply facilities. Specifically, the facility information storage unit 20 stores information such as the number of distribution line DST systems and the number of sections of the distribution line DST of each system.
The contract information storage unit 30 stores information on power supply contracts. Specifically, the contract information storage unit 30 stores, for each consumer, the contract type and contract amount of each consumer, the section SEC of the distribution line DST connected to the consumer, and the like. Here, an example of the contract type will be described with reference to FIG.

FIG. 3 is a diagram showing an example of contract types of power supply contracts. Contract types include low-voltage contracts and high-voltage contracts. Low-voltage contracts also include lighting contracts and power contracts. High voltage contracts also include commercial power contracts and high voltage power contracts.
Returning to FIG. 2, the description of the predicted current calculator 101 is continued. The predicted current calculation unit 101 calculates the composition ratio of the contract amount for each contract type for the distribution line DST of each system by cluster analysis.
FIG. 4 is a diagram showing an example of load curves in each system of the distribution line DST. In FIG. 4, the horizontal axis is time and the vertical axis is load current. In the example shown in FIG. 4, load curves per day of distribution line DST-A of system A and distribution line DST-B of system B are shown. Here, the load curve of the distribution line DST-A is indicated by the current waveform WA. Also, the load curve of the distribution line DST-B is indicated by the current waveform WB. In the following description, the load curve is also referred to as demand characteristics and load current characteristics.

FIG. 5 is a diagram showing an example of the composition ratio of the contract amount for each contract type with respect to the load curve of the distribution line DST. In the example shown in FIG. 5, the contract amount composition ratio for each contract type is shown for each of the distribution line DST-A of the A system and the distribution line DST-B of the B system. According to FIG. 5, the distribution line DST-A of system A has a smaller composition ratio of lighting, power, and commercial electric power than that of high-voltage electric power, and a large composition ratio of high-voltage electric power.
In addition, in the distribution line DST-B of the B system, the composition ratio of lighting is large compared to the composition ratio of power and the composition ratio of business use, and the composition ratio of commercial power is the second largest after the composition ratio of lighting. Power component ratio is relatively small.
The predicted current calculation unit 101 can classify the load curve for each distribution line DST based on the characteristics of the load curve from which the composition ratio of the contract amount for each contract type calculated by cluster analysis is obtained.
In the cluster analysis, the predicted current calculation unit 101 may also calculate the characteristics of the load curve for each month, for each weekday and holiday, and for each hour. In this case, the predicted current calculation unit 101 calculates the characteristics of the load curve for each month, for each weekday and holiday, and for each hour. An example of the result of calculating the characteristics of the load curve by the predicted current calculation unit 101 will be described.

FIG. 6 is a diagram illustrating an example of a cluster analysis result by the predicted current calculation unit of the electricity theft monitoring device according to the first embodiment; In FIG. 6, the horizontal axis represents the composition ratio of the contract amount for each contract type. The predicted current calculation unit 101 clusters the characteristics of the load curve described above into several types of load patterns for each month, weekdays, and holidays. FIG. 6 shows an example in which weekday load curves of an arbitrary month are clustered into four types of load patterns.
Load pattern 1 has a relatively large composition ratio of electric lights, and a relatively small composition ratio of power, commercial power, and high-voltage power. Further, in load pattern 2, the composition ratios of lighting, high-voltage power, motive power, and commercial power are approximately the same. The load pattern 3 has a relatively large component ratio of business amount power, and a relatively small component ratio of lighting, power, and high-voltage power. Load pattern 4 has a relatively large component ratio of high-voltage power, and a relatively small component ratio of lighting, power, and business volume power.
Returning to FIG. 2, the description of the predicted current calculator 101 is continued. A predicted current calculation unit 101 calculates a predicted current based on the result of cluster analysis. In this example, the predicted current calculator 101 calculates the predicted current by multiple regression analysis. The predicted current calculation unit 101 may calculate the predicted current by neural network analysis, time series analysis, or the like instead of multiple regression analysis.

A detected current acquisition unit 102 acquires an actual measurement value of the current flowing through the distribution line DST. Here, the actually measured value of the current flowing through the distribution line DST is also referred to as the detected current value. That is, the detected current acquisition unit 102 acquires a detected current value, which is a value obtained by detecting the load current flowing through the wire.
The detected current acquisition unit 102 is connected to the current detection units 40 (current detection unit 40-1, current detection unit 40-2, . . . , current detection unit 40-n. A sensor is provided to detect the current value of the current flowing through the distribution line DST.The current detection unit 40 can be installed in various power distribution facilities of the power distribution system 1. For example, the current detection unit 40 can be installed in the distribution line DST. In this case, the current detection unit 40 detects the total current value of the current flowing through the distribution line DST of a certain system, that is, the output current value of the substation SB. In addition, the current detection unit 40 may be installed on each utility pole EP.The current detection unit 40 may be installed for each section SEC of the distribution line DST.In this embodiment, the current detection unit 40 is installed at the feeding point.

The power theft determination unit 103 is connected to the predicted current calculation unit 101 and the detected current acquisition unit 102 . Based on the predicted current value calculated by the predicted current calculation unit 101 and the detected current value obtained by the detected current acquisition unit 102, the power theft determination unit 103 detects the stolen power current, which is the uncontracted current among the load currents flowing through the electric wire. The presence or absence of power theft is determined by determining whether or not there is The power theft determination unit 103 determines that there is power theft when a power theft current is detected, and determines that there is no power theft when the power theft current is not detected. Power theft determination section 103 outputs to correlation coefficient calculation section 106 a determination result as to whether or not there is power theft, including the ID of the power supply point.

The load current characteristic calculation unit 104 is connected to a power meter 50 such as a smart meter (a power meter 50-1, a power meter 50-2, . . . , a power meter 50-3). The load current characteristic calculator 104 acquires the load current value from the watt-hour meter 50 and calculates the load current characteristic based on the acquired load current value. The watt-hour meter 50 has a current sensor and detects the load current value supplied to the consumer. The load current characteristic calculator 104 acquires the load current value during an acquisition period such as a week or a month. Here, the explanation is continued for the case where the acquisition period is one day. The load current characteristic calculator 104 calculates the load current characteristic by standardizing the acquired load current values.
Specifically, the load current characteristic calculation unit 104 acquires the maximum value amax of the load current values from the acquired load current values during the acquisition period. The load current characteristic calculation unit 104 normalizes each of the acquired load current values during the acquisition period by dividing them by the maximum value amax of the load current values. Here, each of the load current values acquired during the acquisition period is defined as "a(t)" (t is time), the maximum value of the load current values during the acquisition period is defined as "amax", and the standardized load Assuming that the current value is "a'(t)", a'(t)=a(t)/amax. The load current characteristic calculation unit 104 associates the load current characteristic obtained by plotting the standardized load current value a′(t) with the consumer ID and information indicating the acquisition period, and stores the load current characteristic storage unit. 105.
The load current characteristic storage unit 105 associates and stores the load current characteristic output by the load current characteristic calculation unit 104, the customer ID, and the information indicating the acquisition period.

Correlation coefficient calculation section 106 acquires the determination result as to whether or not there is power theft output from power theft determination section 103 . Correlation coefficient calculation section 106 performs the following processing when the determination result of whether or not there is power theft indicates that there is power theft. The correlation coefficient calculation unit 106 identifies the distribution line DST in which the power feeding point corresponding to the ID of the power feeding point included in the determination result of whether or not there is power theft is installed. The correlation coefficient calculation unit 106 identifies a consumer who acquires the current supplied from the identified distribution line DST. The correlation coefficient calculation unit 106 acquires the load current characteristic during the acquisition period from the watt-hour meter 50 installed at the identified consumer. Here, the load current value obtained by the load current characteristic calculation unit 104 is “b(t)” (t is time), the maximum value of the load current value is “bmax”, and the standardized load current value is “b '(t)', b'(t)=b(t)/bmax.
Further, the correlation coefficient calculation unit 106 acquires the load current characteristics associated with the identified consumer ID from the load current characteristics storage unit 105 .
The correlation coefficient calculation unit 106 calculates the load current characteristics (hereinafter referred to as “load current characteristics B”) obtained from the load current characteristics calculation unit 104 and the load current characteristics (hereinafter referred to as “load current characteristics B”) obtained from the load current characteristics storage unit 105 . A correlation coefficient (Correlation) between the current characteristics A”) is calculated. When the correlation value is represented by a′(t) and b′(t) described above, the correlation coefficient at time t is represented by correlation coefficient=Correlation(a′(t), b′(t)). be done. Correlation coefficient calculation section 106 outputs the calculation result of the correlation coefficient to correlation coefficient determination section 107 .

Correlation coefficient determination section 107 acquires the calculation result of the correlation coefficient output from correlation coefficient calculation section 106 . Correlation coefficient determination section 107 determines whether or not the calculation result of the correlation coefficient is greater than or equal to the correlation coefficient threshold. When the correlation coefficient calculation result is greater than or equal to the correlation coefficient threshold, correlation coefficient determination section 107 sends information indicating that the correlation coefficient calculation result is greater than or equal to the correlation coefficient threshold to power theft generation source determination. Output to unit 109 . If the correlation coefficient calculation result is less than the correlation coefficient threshold value, the correlation coefficient determination unit 107 sends information indicating that the correlation coefficient calculation result is less than the correlation coefficient threshold value to the load current characteristics determination. Output to unit 108 .
When the load current characteristic determination unit 108 acquires information indicating that the correlation coefficient calculation result output from the correlation coefficient determination unit 107 is less than the correlation coefficient threshold value, the load current characteristics determination unit 108 determines the correlation coefficient from the correlation coefficient calculation unit 106. A load current characteristic A and a load current characteristic B used to calculate the number are obtained. The load current characteristic determination unit 108 determines whether or not the load current value included in the load current characteristic B is increased with respect to the load current value included in the load current characteristic A. Load current characteristic determination section 108 outputs the determination result of the load current characteristic to power theft generation source determination section 109 .
When the power theft generation source determination unit 109 outputs information indicating that the calculation result of the correlation coefficient output by the correlation coefficient determination unit 107 is equal to or greater than the correlation coefficient threshold, power theft generation source determination unit 109 determines that the uncontracted load is power theft. By connecting the uncontracted service line to the pole transformer installed on the pole EP of the distribution line DST where the power supply point corresponding to the ID of the power supply point included in the determination result of whether or not is installed, the distribution line DST It is determined that power is being supplied from the
The correlation coefficient determination unit 107 determined that the calculation result of the correlation coefficient regarding the customer who acquires the current supplied from the distribution line DST in which the power supply point where the power theft was discovered is installed is greater than or equal to the correlation coefficient threshold. In this case, the calculated load current characteristics are similar to the past load current characteristics. That is, the power theft determination unit 103 determines that there is power theft, and the correlation coefficient calculation unit 106 determines that the load current characteristics are similar. In this case, it is assumed that uncontracted consumers other than contracted consumers receive power supply from the distribution line DST.

The power theft generation source determination unit 109 increases the load current value included in the load current characteristic B with respect to the load current value included in the load current characteristic A in the load current characteristic determination result output by the load current characteristic determination unit 108. If it indicates that the power is stolen, another contract load is installed on the utility pole EP of the distribution line DST where the power supply point corresponding to the ID of the power supply point included in the determination result of whether or not there is power theft is installed. It is determined that the power supplied from the distribution line DST to the contracted load is stolen by connecting the contracted service line to the service line connected to the pole transformer.
When the load current characteristic determining unit 108 determines that the load current value included in the load current characteristic B increases with respect to the load current value included in the load current characteristic A, the correlation coefficient determining unit 107 determines that the calculated load current characteristic is not similar to the past load current characteristic, and the load current characteristic judging unit 108 determines that the calculated load current characteristic has increased compared to the past load current characteristic. It was decided that In this case, it is assumed that another contract consumer steals the power supplied to the contract consumer whose load current characteristics are calculated from the distribution line DST.
The power theft generation source determination unit 109 increases the load current value included in the load current characteristic B with respect to the load current value included in the load current characteristic A in the load current characteristic determination result output by the load current characteristic determination unit 108. If the uncontracted load does not indicate that the distribution line DST Determine that power is being supplied.
When load current characteristic determining section 108 determines that the load current value included in load current characteristic B does not increase with respect to the load current value included in load current characteristic A, correlation coefficient determining section 107 determines that the calculated load current characteristic is not similar to the past load current characteristic, and the load current characteristic judging unit 108 determines that the calculated load current characteristic has decreased compared to the past load current characteristic. It was decided that In this case, it is assumed that non-contract consumers receive power supplied to contract consumers whose load current characteristics are calculated from the distribution line DST.

The actual load current at each consumer exhibits different characteristics depending on the season and the demand characteristics of supply destinations such as residences, commerce, and industry. On the other hand, a smart meter of a consumer whose power is stolen exhibits a peculiar load current characteristic such as a sudden change in load current after a certain time.
The power theft monitoring device 10 saves a load curve obtained by standardizing actual measurement data for each consumer obtained by a power meter 50 such as a smart meter on a monthly, weekly, or daily basis. In addition, the power theft monitoring device 10 calculates a standard load curve for each consumer on a monthly, weekly, or daily basis.
The power theft monitoring device 10 determines whether or not there is a possibility of power theft by comparing the calculated load curve with a past load curve such as the previous month. Specifically, the power theft monitoring device 10 calculates a normalized load curve, and calculates a correlation coefficient between the calculated normalized load curve and the previous month's load curve. The power theft monitoring device 10 determines the cause of the power theft based on the calculated correlation coefficient.
Here, load current characteristics will be described in detail.
FIG. 7 is a diagram showing an example of load current characteristics. In FIG. 7 , (A) is an example of load current characteristics A stored in the load current characteristics storage unit 105 . (B) is an example of the calculated load current characteristic B, showing a case where the load current value of the load current characteristic B is increased compared to the load current value of the load current characteristic A. FIG. (C) is an example of the calculated load current characteristic B, showing a case where the load current value of the load current characteristic B is smaller than the load current value of the load current characteristic A. FIG. In FIGS. 7A, 7B, and 7C, the horizontal axis is time and the vertical axis is load current.
According to (A), it can be seen that the load current between 00:00 and 05:00 and between 19:00 and 23:00 is higher than the load current at other times.
According to (A) and (B), compared with the load current characteristic A, the load current characteristic B increases between 19:00 and 23:00. The reason for this is presumed to be that other contract consumers stole the power supplied from the distribution line DST to the contract consumers between 19:00 and 23:00. Therefore, it is assumed that the load current characteristics of the contract customers whose power is stolen increase, but the load current characteristics of the contract customers whose power is stolen decrease.
According to (A) and (C), compared to the load current characteristic A, the load current characteristic B decreases between 19:00 and 23:00. As a cause of this, it is assumed that non-contract consumers receive power supplied from the distribution line DST to contract consumers between 19:00 and 23:00. Therefore, the power supplied to non-contract consumers does not appear in the load current characteristics.

(Operation of power theft monitoring device)
Next, a specific example of the operation of each part of the power theft monitoring device 10 will be described with reference to FIG.
FIG. 8 is a diagram showing an example of the operation of the power theft monitoring device according to this embodiment.
(Step S10)
The predicted current calculation unit 101 of the power theft monitoring device 10 calculates the predicted current based on Equation (1).

Here, as described above, there are four types of load patterns and contract types. Therefore, there are 16 types of partial regression coefficients in Equation (1). The predicted current calculator 101 calculates these 16 types of current values as predicted current values as shown in Equation (2).

(Step S20)
The detected current acquisition unit 102 of the power theft monitoring device 10 acquires the actual measurement value of the current flowing through the distribution line DST.
(Step S30)
The power theft determination unit 103 of the power theft monitoring device 10 calculates the power theft current value based on Equation (3).

FIG. 9 shows an example of the power theft current calculated by the power theft determination unit 103 .
FIG. 9 is a diagram showing an example of a calculation result of the stolen power current by the power theft determination unit of the power theft monitoring device according to the present embodiment. The power theft determination unit 103 subtracts the predicted current value (current waveform W1) calculated by the predicted current calculation unit 101 from the detected current value (current waveform W2) obtained by the detected current obtaining unit 102, thereby obtaining the power theft current value (current Waveform W3) is calculated.
The power theft determination unit 103 determines that there is power theft when the calculated power theft current value is equal to or greater than the power theft current threshold, and determines that there is no power theft when the power theft current value is less than the power theft current threshold. When the power theft determination unit 103 determines that there is no power theft, the process returns to step S10. When the power theft determination unit 103 determines that there is power theft, the process proceeds to step S40. Power theft determination section 103 outputs to correlation coefficient calculation section 106 a determination result as to whether or not there is power theft, including the ID of the power supply point.
(Step S40)
The correlation coefficient calculation unit 106 of the power theft monitoring device 10 acquires the current supplied from the distribution line DST in which the power supply point indicated by the ID of the power supply point included in the determination result of whether or not there is power theft is installed. Identify your home. The correlation coefficient calculation unit 106 acquires the load current characteristic during the acquisition period from the watt-hour meter 50 installed at the identified consumer. Further, the correlation coefficient calculation unit 106 acquires the load current characteristics associated with the identified consumer ID from the load current characteristics storage unit 105 . Correlation coefficient calculation section 106 calculates a correlation coefficient between load current characteristic B acquired from load current characteristic calculation section 104 and load current characteristic A acquired from load current characteristic storage section 105 . Correlation coefficient calculation section 106 outputs the calculation result of the correlation coefficient to correlation coefficient determination section 107 .

(Step S50)
The correlation coefficient determination unit 107 of the power theft monitoring device 10 determines whether or not the calculation result of the correlation coefficient is equal to or greater than the correlation coefficient threshold. Correlation coefficient determination section 107 determines that there is correlation when the calculation result of the correlation coefficient is equal to or greater than the correlation coefficient threshold, and determines that there is no correlation when the calculation result of the correlation coefficient is less than the correlation coefficient threshold. I judge. If the correlation coefficient determination unit 107 determines that there is correlation, the process proceeds to step S60, and if it determines that there is no correlation, the process proceeds to step S70.
(Step S60)
When the correlation coefficient determination unit 107 determines that there is a correlation, the power theft generation source determination unit 109 of the power theft monitoring device 10 determines that the non-contract load is connected to the pole transformer installed on the utility pole EP of the distribution line DST. By connecting the service line of the contract, it is determined that power is being supplied from the distribution line DST.
(Step S70)
When the correlation coefficient determination unit 107 determines that there is no correlation, the load current characteristic determination unit 108 of the power theft monitoring device 10 obtains from the correlation coefficient calculation unit 106 the load current characteristic A used to calculate the correlation coefficient and the , and the load current characteristic B are obtained. The load current characteristic determination unit 108 determines whether or not the load current value included in the load current characteristic B is increased with respect to the load current value included in the load current characteristic A. When the load current characteristic determination unit 108 determines that the load current value included in the load current characteristic B is increased with respect to the load current value included in the load current characteristic A, the process proceeds to step S80, and the load current value included in the load current characteristic A is increased. If not, the process proceeds to step S90.

(Step S80)
When the power theft source determining unit 109 of the power theft monitoring device 10 indicates that the load current value included in the load current characteristic B is increasing with respect to the load current value included in the load current characteristic A, The contract load steals the power supplied from the distribution line DST to the contract load by connecting the contract lead-in line to the lead-in line connected to the pole transformer installed on the pole EP of the distribution line DST. judge.
(Step S90)
If the power theft source determining unit 109 of the power theft monitoring device 10 does not indicate that the load current value included in the load current characteristic B is increasing with respect to the load current value included in the load current characteristic A, It is determined that the uncontracted load receives power from the distribution line DST by connecting the uncontracted lead-in line to the lead-in line connected to the pole transformer installed on the utility pole EP of the distribution line DST.
The power theft source determining unit 109 of the power theft monitoring device 10 may output information indicating the power theft source to a device external to the power theft monitoring device 10 . By outputting the power theft source, the power theft monitoring device 10 can inform the person in charge of the power theft monitoring work of the power theft situation.

In the above-described first embodiment, the power theft monitoring device 10 derives the correlation coefficient between the load current characteristics of one day and the past load current characteristics, but the present invention is not limited to this example. For example, the correlation coefficient between the load current characteristics for one week and the past load current characteristics may be derived, or the correlation coefficient between the load current characteristics for one month and the past load current characteristics may be derived. It may be derived.
In the first embodiment described above, the power theft determination unit 103 of the power theft monitoring device 10 detects, based on the predicted current value and the detected current value, among the load currents flowing through the electric wire, there is a power theft current that is an uncontracted current. Although the case where the presence or absence of power theft is determined by determining whether or not has been described, the present invention is not limited to this example. For example, the electricity theft determination unit 103 determines the presence or absence of electricity theft based on the measured current value, which is the current value measured by a power meter such as a smart meter installed for each customer, and the detected current value. You may do so. In this case, the power theft determination unit 103 acquires the measured current value from the watt-hour meter. Further, the power theft determination unit 103 may determine the presence or absence of power theft based on one or both of the predicted current value and the actually measured current value and the detected current value.
In the above-described first embodiment, the case where the current detection unit 40 installed at the power supply point and the watt-hour meter 50 installed at the customer's house are different has been described, but the present invention is not limited to this example. For example, the current detection unit 40 may be installed in the customer's house, and whether or not there is power theft may be determined based on the detected current detected by the current detection unit 40 installed in the customer's house.
In the above-described first embodiment, the case where the power theft monitoring device 10 determines whether or not there is power theft and determines the source of power theft has been described, but the present invention is not limited to this example. For example, the power theft monitoring device 10 may be composed of a device that determines whether or not there is power theft and a device that determines the source of power theft.
The power theft monitoring device 10 according to the first embodiment described above monitors a distribution system that supplies power to one or a plurality of consumers through distribution lines drawn from a distribution substation. The power theft monitoring device 10 calculates the load current characteristics of one or more consumers and stores the calculation results of the load current characteristics. When there is a stolen power current that is an uncontracted current among the load currents flowing through the distribution line, the power theft monitoring device 10 calculates the correlation coefficient between the stored calculation result of the load current characteristics and the calculated load current characteristics as follows: It is calculated for each of one or a plurality of consumers, and it is determined whether or not the calculated correlation coefficient is equal to or greater than the correlation coefficient threshold, and based on the determination result, the cause of the electricity theft current is determined.
By configuring in this way, the cause of the electricity theft current can be determined without patrol. Furthermore, in addition to whether or not power theft has occurred in the power distribution system, it can be determined whether or not power theft has occurred in the customer receiving power supply. In addition, it is possible to determine the cause of power theft based on measurement data from a smart meter, etc., without having to newly install a power meter or the like to measure the load current on the transformer or the like.

Further, according to the power theft monitoring device 10 according to the first embodiment, the predicted value of the load current calculated based on the contract capacity indicated by the power supply contract and the detected value of the load current flowing through the distribution line Based on this, it is determined whether or not there is a stolen power current, which is an uncontracted current, among the load currents flowing through the distribution line. A correlation coefficient with load current characteristics is calculated for each of one or more consumers.
By configuring in this way, it is possible to determine the power system in which power theft has occurred. Further, it is possible to determine whether or not power theft has occurred at a customer who receives power supply from the power system that has determined that power theft has occurred.
Further, according to the power theft monitoring device 10 according to the first embodiment, when it is determined that the correlation coefficient is less than the correlation coefficient threshold, it is determined whether or not the load current of the load current characteristics increases, Based on the determination result, the cause of the electricity theft current is determined.
With this configuration, the cause of the stolen power current is that another contracted load is connected to the service line connected to the pole transformer installed on the utility pole EP of the distribution line DST. By stealing the power supplied from the distribution line DST to the contracted load, or by connecting the uncontracted lead-in line to the lead-in line that is connected to the pole transformer installed on the utility pole EP of the distribution line DST. , it can be determined whether power is being supplied from the distribution line DST.

Further, according to the power theft monitoring device 10 according to the first embodiment, when the determination result indicates that the load current of the load current characteristics decreases, the service line connecting the distribution line and the contracted consumer is It is determined that an uncontracted consumer is connected.
By configuring in this way, it can be determined that the cause of the electricity theft current is that an uncontracted consumer is connected to the service line that connects the distribution line and the contracted consumer. Furthermore, by detecting the time period during which the load current decreases in the load current characteristics, it is possible to grasp the time period during which the power theft is being carried out. Since it is possible to grasp the time period during which electricity is stolen, it is possible to patrol during the time period in which it is easy to detect that electricity is being stolen.
Further, according to the power theft monitoring device 10 according to the first embodiment, when the determination result indicates that the load current of the load current characteristics increases, the service line connecting the distribution line and the contracted consumer is It is determined that the contracted consumer other than the contracted consumer is connected.
By configuring in this way, when the determination result indicates that the load current of the load current characteristics increases, the service line connecting the distribution line and the contracted consumer is connected to a customer other than the contracted consumer. It can be determined that the above-mentioned contracted consumers are connected. Furthermore, by detecting the time period during which the load current increases in the load current characteristics, it is possible to grasp the time period during which the power is stolen. Since it is possible to grasp the time period during which electricity is stolen, it is possible to patrol during the time period in which it is easy to detect that electricity is being stolen.
Further, according to the electricity theft monitoring device 10 according to the first embodiment, when it is determined that the correlation coefficient is equal to or greater than the correlation coefficient threshold, uncontracted current flows from the distribution line to the uncontracted consumer. determined to be With this configuration, when it is determined that the correlation coefficient is equal to or greater than the correlation coefficient threshold, it can be determined that unsubscribed current is flowing from the distribution line to the unsubscribed consumer.

(Second embodiment)
A power theft monitoring system according to a second embodiment will be described below with reference to the drawings. First, an outline of equipment to be monitored by the power theft monitoring device 10a will be described.
(Overview of power theft monitoring system)
FIG. 1 can be applied to an example of equipment to be monitored by the power theft monitoring system according to the second embodiment. In the first embodiment, as a method for detecting power theft in a distribution system, based on the predicted current value calculated by the predicted current calculation unit 101 and the detected current value obtained by the detected current acquisition unit 102, the presence or absence of power theft is determined. A case of determining is described.
Further, in the first embodiment, the presence or absence of power theft is determined based on the detected current value and the actually measured current value measured by the watt-hour meter 50 such as a smart meter installed for each consumer. explained.

In the first embodiment, if a communication error occurs due to a lack of infrastructure such as communication equipment, the power theft monitoring device 10 of the first embodiment is installed at a power supply point such as a transformer. The detected current value measured by each of the current detection unit 40-1 to the current detection unit 40-n and the power meter 50-1 to the power meter 50-m such as a smart meter installed for each consumer It is assumed that either one or both of the actually measured current values measured by each cannot be acquired.
Further, if a power failure occurs, in the power theft monitoring device 10 of the first embodiment, each of the current detection units 40-1 to 40-n installed at a power supply point such as a transformer Either one or both of the measured detected current value and the actually measured current value measured by each of the power meters 50-1 to 50-m such as a smart meter installed for each consumer cannot be obtained. is assumed.

Conventionally, when a person visually determines whether or not a measured value (detected current value, actual measured current value) is abnormal, and determines whether or not the measured value determined to be abnormal is electricity theft. were excluded from the scope of For this reason, it took a lot of effort to monitor power theft. If a value determined to be abnormal is used to determine whether or not power theft has occurred, there is a risk of an erroneous determination as to whether or not power theft has occurred.
Further, when a measurement value is missing due to a communication error or the like, the power theft monitoring apparatus 10 of the first embodiment determines that the normal value could not be obtained, and thus determines whether power theft has occurred. may not be able to secure the data necessary for
The power theft monitoring device 10a of the second embodiment acquires the detected current value measured by each of the current detectors 40-1 to 40-n, and from the acquired detected current value, the missing data and the error data are obtained. and remove either or both of the extracted missing data and error data. The power theft monitoring device 10a determines power theft based on the remaining detected current value obtained by removing either one or both of the missing data and the error data from the acquired detected current value.

Hereinafter, the power theft monitoring device 10a acquires a detected current value measured by each of the current detection units 40-1 to 40-n, extracts missing data from the acquired plurality of detected current values, and extracts missing data. Remove data. Next, the case where the power theft monitoring device 10a extracts error data from the remaining detected current values after removing missing data and removes the extracted error data will be described. In this case, the power theft monitoring device 10a uses the detected current value remaining after removing the error data to determine whether or not there is power theft.
Specifically, power theft monitoring device 10a acquires detected current values measured by current detecting units 40-1 to 40-n at predetermined intervals such as weekly or monthly. Here, as an example, the explanation will be continued for the case of acquiring on a monthly basis. For example, the power theft monitoring device 10a acquires the detected current value measured by each of the current detection units 40-1 to 40-n for each measurement time such as one hour for each of the 1st to 30th days. do. The power theft monitoring device 10a extracts missing data (null) from the acquired detected current value and removes the extracted missing data.

The power theft monitoring device 10a calculates an average value for each measurement time from the detected current values remaining after removing the missing data. The power theft monitoring device 10a calculates the standard deviation based on the calculated average value and the remaining detected current values, and determines whether or not the detected current value is error data based on the calculated standard deviation. . The power theft monitoring device 10a removes the detected current value determined to be error data.
The power theft monitoring device 10a determines whether or not there is a power theft current, which is an uncontracted current, among the load currents flowing through the electric wire, based on the detected current values remaining after removing the detected current values determined to be error data. The presence or absence of power theft is determined by determining
Further, power theft monitoring device 10a acquires the measured current value measured by each of power meter 50-1 to power meter 50-m, and selects either missing data or error data from the acquired measured current value. Alternatively, both are extracted, and either one or both of the extracted missing data and error data is removed. The power theft monitoring device 10a determines power theft based on the current obtained by removing either one or both of the missing data and the error data from the obtained measured current value.

Hereinafter, the power theft monitoring device 10a acquires the measured current values measured by each of the power meters 50-1 to 50-m, extracts the missing data from the acquired plurality of measured current values, and extracts the extracted missing data. Remove data. Then, the case where the power theft monitoring device 10a extracts error data from the measured current value remaining after removing missing data and removes the extracted error data will be continued.
Specifically, power theft monitoring device 10a acquires actual current values measured by power meters 50-1 to 50-m at predetermined intervals such as weekly or monthly. Here, as an example, the explanation will be continued for the case of acquiring on a monthly basis. For example, the power theft monitoring device 10a obtains the measured current value measured by each of the power meters 50-1 to 50-m for each measurement time such as one hour for each of the 1st to 30th days. do. The power theft monitoring device 10a extracts missing data (null) from the acquired measured current value, and removes the extracted missing data.

The power theft monitoring device 10a calculates an average value for each measurement time from the measured current values remaining after removing the missing data. The power theft monitoring device 10a calculates the standard deviation based on the calculated average value and the remaining measured current values, and determines whether or not the measured current value is error data based on the calculated standard deviation. . The power theft monitoring device 10a removes the actually measured current value determined to be error data. The electricity theft monitoring device 10a determines whether or not there is an uncontracted electricity theft current among the load currents flowing through the electric wire, based on the actual measurement current values remaining after removing the actual measurement current values determined to be error data. The presence or absence of power theft is determined by determining

FIG. 10 is a diagram illustrating an example of the configuration of a power theft monitoring system according to the second embodiment.
The power theft monitoring system includes a facility information storage unit 20, a contract information storage unit 30, a current detection unit 40-1, a current detection unit 40-2, . , watt-hour meter 50-1, watt-hour meter 50-2, .
The power theft monitoring device 10a differs from the power theft monitoring device 10 of the first embodiment in that it includes an extraction unit 110, an error data removal unit 111, an extraction unit 112, and an error data removal unit 113. Further, compared with the power theft monitoring device 10 of the first embodiment, the power theft monitoring device 10a includes a detected current acquisition unit 102a instead of the detected current acquisition unit 102, and a load current characteristic calculation unit 104 instead of the load current characteristic calculation unit 104. It differs in that it includes a characteristic calculation unit 104a.
Hereinafter, an extraction unit 110, an error data removal unit 111, a detected current acquisition unit 102a, an extraction unit 112, an error data removal unit 113, and a load current characteristic calculation unit, which are different from the power theft monitoring apparatus 10 of the first embodiment. 104a will be explained.

Extraction unit 110 acquires the detected current value of the current flowing through distribution line DST. In other words, the extraction unit 110 acquires the detected current value, which is the detected value of the load current flowing through the wire. The extractor 110 outputs the acquired detected current value to the error data remover 111 .
Specifically, the extraction unit 110 is connected to the current detection units 40 (current detection unit 40-1, current detection unit 40-2, . . . , current detection unit 40-n). The current detection unit 40 has a current sensor and detects the current value of the current flowing through the distribution line DST. The current detector 40 can be installed in various power distribution facilities of the power distribution system 1 . For example, the current detection unit 40 is installed at the end of the distribution line DST on the substation SB side, that is, at the feeding point.
In this case, the current detection unit 40 detects the total current value of the current flowing through the distribution line DST of a certain system, that is, the transmission current value of the substation SB. Also, the current detection unit 40 may be installed on each utility pole EP. Also, the current detection unit 40 may be installed for each section SEC of the distribution line DST. In this embodiment, the case where the current detection unit 40 is installed at the power supply point will be described.

The error data removal unit 111 acquires the detected current value acquired by the extraction unit 110 . Here, the detected current value acquired by the error data removing unit 111 is obtained from each of the current detecting units 40-1 to 40-n for each measurement time such as one hour for each of the 1st to 30th days. Contains multiple detected current values obtained from
The error data removing unit 111 extracts missing data (null) from each of the plurality of acquired detected current values, and removes the extracted missing data.
The error data removing unit 111 calculates an average value for each measurement time based on the remaining detected current values after removing missing data. Specifically, the error data removal unit 111 derives the average value for each measurement time according to Equation (4).

In equation (4), DT1 _d ^(t) is the detected current value, bar DT1 _d ^(t) is the average value of detected current values measured at measurement time t, and d is measured at measurement time t. It is an argument of the detected current value, and n is the number (number) of detected current values measured at the measurement time t.
Error data removal section 111 calculates standard deviation σ1 _(t) based on the calculated average value and each of the remaining detected current values. Specifically, the error data removal unit 111 calculates the standard deviation σ1 _(t) according to Equation (5).

In equation (5), DT1 _d ^(t) is the detected current value, bar DT1 _d ^(t) is the average value of detected current values measured at measurement time t, and d is measured at measurement time t. is the remaining sensed current value argument, n is the number of sensed current values measured at measurement time t, and σ1 _(t) is the standard deviation of the sensed current values measured at measurement time t.
Based on the calculated standard deviation σ1 _(t) , the error data removing unit 111 determines that the value obtained by subtracting 2σ1 _(t ) from the average value bar DT1 _d ^(t) of the detected current values is less than the remaining detected current values. is determined for each of the remaining detected current values. With this configuration, the error data removal unit 111 determines whether or not the detected current value is error data. Specifically, the error data removal unit 111 determines whether or not Expression (6) is satisfied.

The error data removal unit 111 determines that the detected current value DT1 _d (t) is not error data if the expression (6) is satisfied, and determines that the detected current value DT1 _d ^{( t)} is not error data if the expression (6) is not satisfied. is determined to be error data. The error data removal unit 111 removes the detected current value DT1 _d ^(t) determined to be error data.
The error data removing unit 111 calculates an average value for each measurement time based on the remaining detected current values DT1 _d ^{( t)} after removing the detected current value DT1 _d (t) determined to be error data. Specifically, the error data removal unit 111 derives an average value for each measurement time according to Equation (7).

The error data removal unit 111 calculates the average value of the detected current values for each measurement time for all measurement times. The error data removal unit 111 outputs the calculated average value of the detected current values for each measurement time to the detected current acquisition unit 102a.
The detected current acquisition unit 102a acquires the average value of the detected current values for each measurement time output by the error data removal unit 111, and based on the acquired average value of the detected current values for each measurement time, detects the detected current value for each measurement time. Let the average value of the current values be the detected current value at each measurement time.

The extraction unit 112 is connected to a power meter 50 (power meter 50-1, power meter 50-2, . . . , power meter 50-m) such as a smart meter. The extraction unit 112 acquires the load current value from the watt-hour meter 50 and outputs the acquired load current value to the error data removal unit 113 .
Specifically, the watt-hour meter 50 includes a current sensor and detects the load current value supplied to the consumer. The extraction unit 112 acquires the load current value during an acquisition period such as a week or a month. Here, the explanation is continued for the case where the acquisition period is one month.

The error data removal unit 113 acquires the load current value acquired by the extraction unit 112 . Here, the load current value acquired by the error data removal unit 113 is the load current value acquired from each of the current detection units 40-1 to 40-n every hour for each of the 1st to 30th days. Contains multiple current values.
The error data removing unit 113 extracts missing data from each of the plurality of acquired load current values, and removes the extracted missing data.
The error data removing unit 113 calculates an average value for each measurement time based on the remaining load current values after removing the missing data. Specifically, the error data removal unit 113 derives the average value for each measurement time according to Equation (8).

In equation (8), DT2 _d ^(t) is the load current value, DT2 _d ^(t) is the average value of the load current values measured at measurement time t, and d is the value measured at measurement time t. The argument is the load current value, where n is the number of load current values measured at measurement time t.
Error data removal unit 113 calculates standard deviation σ2 _(t) based on the calculated average value and each of the remaining load current values. Specifically, the error data removing unit 113 calculates the standard deviation σ2 _(t) according to Equation (9).

In equation (9), DT2 _d ^(t) is the load current value, DT2 _d ^(t) is the average value of the load current values measured at measurement time t, and d is the value measured at measurement time t. is the remaining load current value argument, where n is the number of load current values measured at measurement time t, and σ2 _(t) is the standard deviation of the load current values measured at measurement time t.
Based on the calculated standard deviation σ2(t), the error data removal unit 113 determines that the value obtained by subtracting 2σ2 _(t ⁾ from the average value bar _DT2d (t) of the load current values is less than the remaining load current values. Determine whether or not With this configuration, the error data removal unit 113 determines whether or not the load current value is error data. Specifically, the error data removal unit 113 determines whether or not Expression (10) is satisfied.

The error data removal unit 113 determines that the load current value DT2 _d (t) is not error data if the expression (10) is satisfied, and determines that the load current value DT2 _d ^{( t)} is not the error data if the expression (10) is not satisfied. is determined to be error data. The error data removal unit 113 removes the load current value DT2 _d ^(t) determined to be error data.
The error data removing unit 113 calculates an average value for each measurement time based on the remaining load current values DT2 _d ^{( t)} after removing the load current values DT2 _d (t) determined to be error data. Specifically, the error data removal unit 113 derives an average value for each measurement time according to Equation (11).

The error data removal unit 113 calculates the average value of the load current values for each measurement time for all measurement times. The error data removal unit 113 outputs the calculated average value of the load current values for each measurement time to the load current characteristic calculation unit 104a.
The load current characteristic calculation unit 104a obtains the average value of the load current values for each measurement time output by the error data removal unit 113, and calculates the average value of the load current values for each measurement time based on the obtained average value of the load current values for each measurement time. Let the average value of the load current values be the load current value at each measurement time. The load current characteristic calculator 104a calculates the load current characteristic by standardizing the acquired load current values.
Specifically, the load current characteristic calculation unit 104a acquires the maximum value amax of the load current values from the acquired load current values during the acquisition period. The load current characteristic calculation unit 104a normalizes each of the acquired load current values during the acquisition period by dividing them by the maximum value amax of the load current values. Here, each of the load current values acquired during the acquisition period is defined as "a(t)" (t is time), the maximum value of the load current values during the acquisition period is defined as "amax", and the standardized load Assuming that the current value is "a'(t)", a'(t)=a(t)/amax.
The load current characteristic calculation unit 104a associates the load current characteristic obtained by plotting the standardized load current value a′(t) with the consumer ID and the information indicating the acquisition period, and stores the load current characteristic storage unit. 105.

(Operation of power theft monitoring device)
Next, a specific example of the operation of each part of the power theft monitoring device 10a will be described with reference to FIGS. 11 and 12. FIG.
FIG. 11 is a diagram illustrating an example of the operation of the power theft monitoring device according to the second embodiment; In the example shown in FIG. 11, the power theft monitoring device 10a acquires the detected current values measured by the current detectors 40-1 to 40-n, and extracts missing data from the plurality of acquired detected current values. Extract and remove extracted missing data. Then, the power theft monitoring device 10a removes the missing data, extracts error data from the remaining detected current values, and removes the extracted error data.
(Step S100)
Extraction unit 110 acquires the detected current value of the current flowing through distribution line DST. The extractor 110 outputs the acquired detected current value to the error data remover 111 .
(Step S110)
The error data removal unit 111 acquires the detected current value output by the extraction unit 110 . The error data removal unit 111 extracts missing data (null) from each of the acquired plurality of detected current values, and removes the extracted missing data.
(Step S120)
The error data removing unit 111 calculates an average value for each measurement time based on the remaining detected current values after removing missing data.

(Step S130)
The error data removing unit 111 calculates the standard deviation σ1 _(t) for each of the remaining detected current values based on the calculated average value.
(Step S140)
Based on the calculated standard deviation, the error data removal unit 111 determines whether or not the value obtained by subtracting 2σ1 _(t) from the average value of the detected current values is less than the remaining detected current values. Determine each of With this configuration, the error data removal unit 111 determines whether or not the detected current value is error data.
(Step S150)
When the error data removal unit 111 determines that the detected current value is error data, it removes the detected current value. After removing the detected current value, the process proceeds to step S170.
(Step S160)
If the error data removal unit 111 determines that the data is not error data, it calculates an average value for each measurement time based on the detected current value.

(Step S170)
The error data removal unit 111 determines whether or not the average value of the detected current values for each measurement time has been calculated for all measurement times.
(Step S180)
If the error data removal unit 111 determines that the average value of the detected current values for each measurement time has not been calculated for all measurement times, it increases the measurement time t. After that, the process proceeds to step S120.
(Step S190)
If the error data removal unit 111 determines that the average value of the detected current values for each measurement time is calculated for all measurement times, the error data removal unit 111 calculates the average value of the detected current values for each measurement time as the detected current acquisition unit 102a. Output to

FIG. 12 is a diagram illustrating an example of the operation of the power theft monitoring device according to the second embodiment; In the example shown in FIG. 12, the power theft monitoring device 10a acquires the measured current values measured by the power meters 50-1 to 50-m, and extracts the missing data from the acquired plurality of measured current values. Extract and remove extracted missing data. Then, the power theft monitoring device 10a extracts error data from the measured current value remaining after removing the missing data, and removes the extracted error data.
(Step S200)
Extraction unit 112 acquires the actually measured current value measured by each of power meter 50-1 to power meter 50-m. The extraction unit 112 outputs the acquired measured current value to the error data elimination unit 113 .
(Step S210)
The error data removal unit 113 acquires the detected current value output by the extraction unit 112 . The error data removing unit 113 extracts missing data (null) from each of the acquired measured current values, and removes the extracted missing data.
(Step S220)
The error data removing unit 113 calculates an average value for each measurement time based on the remaining measured current values after removing missing data.

(Step S230)
The error data removal unit 113 calculates the standard deviation σ2 _(t) for each of the remaining measured current values based on the calculated average value.
(Step S240)
Based on the calculated standard deviation, the error data removal unit 113 determines whether the value obtained by subtracting 2σ2 _(t) from the average value of the measured current values is less than the remaining measured current values. Determine each of With this configuration, the error data removal unit 113 determines whether or not the actually measured current value is error data.
(Step S250)
When the error data removal unit 113 determines that the measured current value is error data, it removes the measured current value. After removing the measured current value, the process proceeds to step S270.
(Step S260)
The error data removal unit 113 calculates an average value for each measurement time based on the remaining measured current values after removing the measured current values determined to be error data.

(Step S270)
The error data removing unit 113 determines whether or not the average value of the actually measured current values for each measurement time has been calculated for all the measurement times.
(Step S280)
If the error data removal unit 113 determines that the average value of the actually measured current values for each measurement time has not been calculated for all measurement times, it increases the measurement time t. After that, the process proceeds to step S220.
(Step S290)
If the error data removal unit 113 determines that the average value of the measured current values for each measurement time is calculated for all measurement times, the error data removal unit 113 calculates the average value of the actual measurement current values for each measurement time as the load current characteristic calculation unit. 104a.

In the above-described second embodiment, the case where the power theft monitoring device 10a derives the correlation coefficient between the one-month load current characteristic and the past load current characteristic has been described, but the present invention is not limited to this example. For example, the correlation coefficient between the load current characteristics for one day and the past load current characteristics may be derived, or the correlation coefficient between the load current characteristics for one week and the past load current characteristics may be derived. You may make it
In the above-described second embodiment, the case where the current detection unit 40 installed at the power supply point and the watt-hour meter 50 installed at the customer's house are different has been described, but the present invention is not limited to this example. For example, the current detection unit 40 may be installed in the customer's house, and whether or not there is power theft may be determined based on the detected current detected by the current detection unit 40 installed in the customer's house.
In the above-described second embodiment, the case where the power theft monitoring device 10a determines whether or not there is power theft and determines the source of power theft has been described, but the present invention is not limited to this example. For example, the power theft monitoring device 10a may be composed of a device that determines whether or not there is power theft and a device that determines the source of power theft.
In the second embodiment described above, the power theft monitoring device 10a obtains the detected current values measured by the current detection units 40-1 to 40-n, and detects the missing data from the obtained plurality of detected current values. is extracted, the extracted missing data is removed, the error data is extracted from the detected current value remaining after the missing data is removed, and the extracted error data is removed. Further, the power theft monitoring device 10a acquires the measured current values measured by each of the power meters 50-1 to 50-m, extracts missing data from the acquired plurality of measured current values, and extracts the extracted missing data. A case has been described where data is removed, missing data is removed, error data is extracted from the remaining measured current values, and the extracted error data is removed. However, it is not limited to these examples. For example, either one may be performed.

The power theft monitoring device 10a according to the second embodiment described above has the following effects in addition to the effects obtained by the power theft monitoring device 10 according to the first embodiment.
The power theft monitoring device 10a acquires the detected current value measured by each of the current detection units 40-1 to 40-n, extracts missing data from the acquired plurality of detected current values, and stores the extracted missing data. After removing missing data, error data is extracted from the remaining detected current values, and the extracted error data is removed.
With this configuration, even if a communication error occurs due to the lack of infrastructure such as communication equipment, the current detector 40-1 installed at a power supply point such as a transformer can Even if any of the detected current values measured by each of 40-n cannot be acquired, missing data can be extracted and the extracted missing data can be removed. Furthermore, even if any of the detected current values measured by the current detection units 40-1 to 40-n is error data, the error data can be extracted and the extracted error data can be removed. Therefore, the detection current value necessary for determining power theft can be ensured, so the accuracy of determining whether or not power theft has occurred can be improved.
Also, if a power failure occurs, even if it is not possible to acquire any of the detected current values measured by each of the current detection units 40-1 to 40-n installed at power supply points such as transformers. Even if there is, missing data can be extracted and the extracted missing data can be removed. Furthermore, even if any of the detected current values measured by the current detection units 40-1 to 40-n is error data, the error data can be extracted and the extracted error data can be removed. Therefore, the detection current value necessary for determining power theft can be ensured, so the accuracy of determining whether or not power theft has occurred can be improved.

Further, the power theft monitoring device 10a acquires the measured current values measured by each of the power meters 50-1 to 50-m, extracts the missing data from the acquired plurality of measured current values, and extracts the extracted missing data. Data is removed, missing data is removed, error data is extracted from the remaining measured current values, and the extracted error data is removed.
By configuring in this way, even if a communication error occurs due to a lack of infrastructure such as communication equipment, the electric energy from the electric energy meter 50-1 such as a smart meter installed for each customer Even if any of the actually measured current values measured by each of the total 50-m cannot be acquired, missing data can be extracted and the extracted missing data can be removed. Furthermore, even if any of the measured current values measured by each of the power meters 50-1 to 50-m is error data, the error data can be extracted and the extracted error data can be removed. Therefore, the detection current value necessary for determining power theft can be ensured, so the accuracy of determining whether or not power theft has occurred can be improved.
In addition, if a power failure occurs, if any of the measured current values measured by each of the power meters 50-1 to 50-m, such as a smart meter installed for each consumer, cannot be obtained. However, the missing data can be extracted and the extracted missing data can be removed. Furthermore, even if any of the measured current values measured by each of the power meters 50-1 to 50-m is error data, the error data can be extracted and the extracted error data can be removed. Therefore, it is possible to secure a measured current value necessary for determining power theft, thereby improving the accuracy of determining whether or not power theft has occurred.

Although embodiments have been described above, these embodiments are presented as examples and are not intended to limit the scope of the invention. These embodiments can be implemented in various other forms, and various omissions, replacements, changes, and combinations can be made without departing from the scope of the invention. These embodiments are included in the scope and gist of the invention, and at the same time, are included in the scope of the invention described in the claims and equivalents thereof.
The power theft monitoring device 10 and the power theft monitoring device 10a described above may be realized by a computer. In that case, a program for realizing the function of each functional block is recorded in a computer-readable recording medium. The program recorded on this recording medium may be loaded into the computer system and executed by the CPU. The "computer system" here includes hardware such as an OS (Operating System) and peripheral devices.
A "computer-readable recording medium" refers to a portable medium such as a flexible disk, a magneto-optical disk, a ROM, and a CD-ROM. A "computer-readable recording medium" includes a storage device such as a hard disk built into a computer system.
Furthermore, the "computer-readable recording medium" may include those that dynamically retain the program for a short period of time. For a short period of time, a program is dynamically stored in a communication line for transmitting a program via a network such as the Internet or a communication line such as a telephone line.

Also, the "computer-readable recording medium" may include a medium that retains the program for a certain period of time, such as a volatile memory inside a computer system that serves as a server or client. Further, the program may be for realizing part of the functions described above. Moreover, the above program may be one capable of realizing the functions described above in combination with a program already recorded in a computer system.
The power theft monitoring device described above has a computer inside. Each process of the power theft monitoring apparatus described above is stored in a computer-readable recording medium in the form of a program, and the above process is performed by reading and executing this program by a computer.
Here, the computer-readable recording medium refers to magnetic disks, magneto-optical disks, CD-ROMs, DVD-ROMs, semiconductor memories, and the like. Alternatively, the computer program may be distributed to a computer via a communication line, and the computer receiving the distribution may execute the program.
Further, the program may be for realizing part of the functions described above.
Furthermore, it may be a so-called difference file (difference program) that can realize the above-described functions in combination with a program already recorded in the computer system.

REFERENCE SIGNS LIST 1 power distribution system 10 power theft monitoring device 20 facility information storage unit 30 contract information storage unit 40, 40-1, 40-2, 40-n current detection unit 50, 50 -1, 50-2, ..., 50-n... Watt-hour meter 101... Predicted current calculation unit 102, 102a... Detected current acquisition unit 103... Power theft determination unit 104, 104a... Load current characteristic calculation unit , 105... Load current characteristic storage unit, 106... Correlation coefficient calculation unit, 107... Correlation coefficient determination unit, 108... Load current characteristic determination unit, 109... Power theft generation source determination unit, 110... Extraction unit, 111... Error data Removal unit 112 Extraction unit 113 Error data removal unit

Claims (10)

A power theft monitoring system that monitors a distribution system that supplies power to a plurality of consumers through distribution lines drawn from a distribution substation ,
a load current characteristic calculation unit that calculates a load current characteristic based on a load current value detected by a current sensor of a power meter provided for each of the plurality of consumers;
a load current characteristic storage unit that stores the calculation result of the load current characteristic;
When the detected current flowing through the distribution line detected by the plurality of current detection units includes a stolen power current that is an uncontracted current, the calculation result of the load current characteristics stored in the load current characteristics storage unit; a correlation coefficient calculation unit that calculates, for each of the plurality of consumers, a correlation coefficient with the load current characteristics calculated by the load current characteristics calculation unit;
a correlation coefficient determination unit that determines whether the correlation coefficient calculated by the correlation coefficient calculation unit is equal to or greater than a threshold;
When the correlation coefficient determination unit determines that the correlation coefficient is equal to or greater than a threshold value, the cause of the electricity theft current is determined by non-contract consumers other than contract consumers receiving power from distribution lines. If the correlation coefficient determination unit determines that the correlation coefficient is less than the threshold value, the cause of the electricity theft current is determined to be by another contract customer from the distribution line to the contract customer. a power theft generation source determination unit that determines that the uncontracted customer is stealing the power supplied to the customer or receives the power supplied from the distribution line to the contracted customer ,
power theft monitoring system. Based on the predicted current value calculated based on the contracted capacity indicated by the power supply contract and the detected value of the detected current detected by the current detection unit, the undetected current flowing through the distribution line is detected. A power theft determination unit that determines whether or not there is a power theft current, which is the contract current,
When the power theft determination unit determines that there is the power theft current, the correlation coefficient determination unit adds the calculation result of the load current characteristics stored in the load current characteristics storage unit to the load current characteristics calculation unit. 2. The power theft monitoring system according to claim 1, wherein a correlation coefficient with the calculated load current characteristic is calculated for each of the one or more consumers. one or both of the missing data and the error data is extracted from the detected current value detected by the current detection unit, and one or both of the extracted missing data and the error data is extracted from the detected current value Equipped with an erroneous data removal unit that removes
The power theft determination unit detects uncontracted current out of the detected current flowing through the distribution line based on the detected current value from which the error data removal unit removes one or both of the missing data and the error data. 3. The power theft monitoring system according to claim 2, wherein it is determined whether or not there is a power theft current that is the current of the power theft. A load current for determining whether or not the load current of the load current characteristics calculated by the load current characteristics calculation unit increases when the correlation coefficient determination unit determines that the correlation coefficient is less than a threshold value. A characteristic determination unit is provided,
4. The power theft monitoring system according to any one of claims 1 to 3, wherein the power theft generation source determination unit determines the cause of the power theft current based on the determination result of the load current characteristics determination unit. When the determination result of the load current characteristics determination unit indicates that the load current of the load current characteristics decreases, the power theft generation source determination unit determines that the service line connecting the distribution line and the contracted consumer is: 5. The power theft monitoring system according to claim 4, wherein it is determined that said uncontracted consumer is connected. When the judgment result of the load current characteristics judgment unit indicates that the load current of the load current characteristics increases, the power theft generation source judgment unit is configured to: 5. The power theft monitoring system according to claim 4, wherein it is determined that said contracted consumer other than said contracted consumer is connected. When the correlation coefficient determination unit determines that the correlation coefficient is equal to or greater than a threshold, the power theft generation source determination unit determines that the uncontracted current flows from the distribution line to the uncontracted consumer. 5. The power theft monitoring system according to any one of claims 1 to 4, wherein the power theft monitoring system determines that A power theft monitoring device for monitoring a distribution system that supplies power to a plurality of consumers through distribution lines drawn from a distribution substation ,
a load current characteristic calculation unit that calculates a load current characteristic based on a load current value detected by a current sensor of a power meter provided for each of the plurality of consumers;
a load current characteristic storage unit that stores the calculation result of the load current characteristic;
When the detected current flowing through the distribution line detected by the plurality of current detection units includes a stolen power current that is an uncontracted current, the calculation result of the load current characteristics stored in the load current characteristics storage unit; a correlation coefficient calculation unit that calculates, for each of the plurality of consumers, a correlation coefficient with the load current characteristics calculated by the load current characteristics calculation unit;
a correlation coefficient determination unit that determines whether the correlation coefficient calculated by the correlation coefficient calculation unit is equal to or greater than a threshold;
When the correlation coefficient determination unit determines that the correlation coefficient is equal to or greater than a threshold value, the cause of the electricity theft current is determined by non-contract consumers other than contract consumers receiving power from distribution lines. If the correlation coefficient determination unit determines that the correlation coefficient is less than the threshold value, the cause of the stolen electricity is determined to be by another contract customer from the distribution line to the contract customer. a power theft generation source determination unit that determines that the uncontracted customer is stealing the power supplied to the customer or is receiving power supplied from the distribution line to the contracted customer
Electricity theft monitoring device. A monitoring method executed by a monitoring system that monitors a distribution system that supplies power to a plurality of consumers through distribution lines drawn from a distribution substation,
a step of calculating a load current characteristic based on a load current value detected by a current sensor of a power meter provided for each of the plurality of consumers;
a step of storing calculation results of the load current characteristics;
When the detected current flowing through the distribution line detected by the plurality of current detection units includes a stolen power current that is an uncontracted current, the calculated result of the load current characteristics stored in the storing step and the calculated a step of calculating a correlation coefficient with the load current characteristic calculated in step for each of the plurality of consumers;
determining whether the correlation coefficient is greater than or equal to a threshold;
When it is determined that the correlation coefficient is equal to or greater than a threshold, the cause of the electricity theft current is determined to be that an uncontracted customer other than a contracted customer receives power from a distribution line; When it is determined that the relational coefficient is less than the threshold, the cause of the stolen power current is that another contracted customer steals the power supplied from the distribution line to the contracted customer, or an uncontracted customer and determining that it is receiving power supplied from the distribution line to the contracted consumer .
Electricity theft monitoring method. In the computer of the monitoring system that monitors the distribution system that supplies power to multiple consumers through the distribution line drawn from the distribution substation ,
a step of calculating a load current characteristic based on a load current value detected by a current sensor of a power meter provided for each of the plurality of consumers;
a step of storing calculation results of the load current characteristics;
When the detected current flowing through the distribution line detected by the plurality of current detection units includes a stolen power current that is an uncontracted current, the calculated result of the load current characteristics stored in the storing step and the calculated a step of calculating a correlation coefficient with the load current characteristic calculated in step for each of the plurality of consumers;
determining whether the correlation coefficient is greater than or equal to a threshold;
When it is determined that the correlation coefficient is equal to or greater than a threshold, the cause of the electricity theft current is determined to be that an uncontracted customer other than a contracted customer receives power from a distribution line, and When it is determined that the relational coefficient is less than the threshold, the cause of the stolen power current is that another contracted customer steals the power supplied from the distribution line to the contracted customer, or an uncontracted customer a step of determining that the electric power supplied from the distribution line to the contract consumer is received ;
program.

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