JP2019054715A - Power theft monitoring system, power theft monitoring device, power theft monitoring method and program - Google Patents

Abstract

To reduce time and effort for power theft detection.SOLUTION: A power theft monitoring system monitors a power distribution system supplying power to one or more users by a service wire extracted from a distributing substation. The power theft monitoring system includes: a load current characteristics calculation part for calculating the load current characteristics of one or more users; a storage part for storing the calculation results of the load current characteristics; a correlation coefficient calculation part for calculating the correlation coefficients of the calculation results of the load current characteristics stored in the storage part, and the load current characteristics calculated by the load current characteristics calculation part, for each of the one or more users, when there is an uncontracted current out of the load currents flowing through the service wire; a correlation coefficient determination part for determining whether the calculated correlation coefficient is above a threshold; and a power theft source determination part for determining the possible cause of power theft current on the basis of the determination results.SELECTED DRAWING: Figure 1

Description

  Embodiments described herein relate generally to a theft monitoring system, a theft monitoring apparatus, a theft monitoring method, and a program.

  2. Description of the Related Art Conventionally, an apparatus that detects power theft based on a site image of a distribution line and door-to-door power contract information is known (see, for example, Patent Document 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 a distribution line suspected of stealing prior to the detection of theft. It takes.
The present invention has been made in view of the above points, and provides a theft monitoring system, a theft monitoring apparatus, a theft monitoring method, and a program that can reduce the effort for detecting theft.

One aspect of the present invention is a power theft monitoring system that monitors a power distribution system that supplies power to one or a plurality of consumers by a distribution line drawn from a distribution substation, and includes a load of one or a plurality of the consumers When there is a load current characteristic calculation unit that calculates a current characteristic, a load current characteristic storage unit that stores a calculation result of the load current characteristic, and a stealing current that is an unsigned current among the load currents flowing through the distribution line The correlation coefficient between the calculation result of the load current characteristic stored in the load current characteristic storage unit and the load current characteristic calculated by the load current characteristic calculation unit is set for each of one or a plurality of the consumers. The correlation coefficient calculation unit to be calculated, the correlation coefficient determination unit that determines whether or not the correlation coefficient calculated by the correlation coefficient calculation unit is greater than or equal to a threshold value, and the determination result of the correlation coefficient determination unit Based on the theft electric current And a determining theft source determining unit cause a theft monitoring system.
Also, in the power theft monitoring system of one aspect of the present invention, either or both of the predicted value of the load current calculated based on the contract capacity indicated by the power supply contract and the current value measured by the watt hour meter, A stealing determination unit that determines whether or not there is a stealing current that is an unsigned current among the load currents that flow through the distribution line, based on the detected value of the load current flowing through the distribution line; The relation number determination unit calculates the load current characteristic calculation result stored in the load current characteristic storage unit and the load current characteristic calculation unit when the theft power determination unit determines that there is the theft electric current. A correlation coefficient with the load current characteristic is calculated for each of the one or a plurality of the consumers.
Further, in the power theft monitoring system of one aspect of the present invention, either or both of missing data and error data are extracted from the current value measured by a watt hour meter, and the extracted missing data and error data are extracted. Including an error data removal unit that removes either or both of the current value from the current value, and the power theft determination unit removes one or both of the missing data and the error data. Based on the current value, it is determined whether or not there is a stolen current that is an unsigned current among the load currents flowing through the distribution line.
Further, in the power theft monitoring system according to one aspect of the present invention, when the correlation coefficient determination unit determines that the correlation coefficient is less than a threshold, the load current characteristic calculation unit calculates the load current characteristic calculation unit. A load current characteristic determination unit that determines whether or not the load current increases is provided, and the theft power generation source determination unit determines the cause of the theft electric current based on the determination result of the load current characteristic determination unit.
In the power theft monitoring system according to one aspect of the present invention, the power distribution source determination unit is configured such that when the determination result of the load current characteristic determination unit indicates that the load current of the load current characteristic decreases, the distribution line It is determined that the uncontracted consumer is connected to the service line that connects the customer and the contracted consumer.
In the theft monitoring system according to one aspect of the present invention, when the theft power generation source determination unit indicates that the load current of the load current characteristic is increased, the determination result of the load current characteristic determination unit is the distribution line. It is determined that the contracted consumer other than the contracted consumer is connected to the lead-in line connecting the customer and the contracted consumer.
Further, in the theft monitoring system according to one aspect of the present invention, the theft generation source determination unit, when the correlation coefficient determination unit determines that the correlation coefficient is equal to or greater than a threshold value, has not been contracted from the distribution line. It is determined that the non-contracted current is flowing to the customer.

  Further, a theft monitoring apparatus according to one aspect of the present invention is a theft monitoring apparatus that monitors a distribution system that supplies power to one or a plurality of consumers by a distribution line drawn from a distribution substation. A load current characteristic calculation unit for calculating a load current characteristic of the consumer, a load current characteristic storage unit for storing a calculation result of the load current characteristic, and an uncontracted current among load currents flowing through the distribution line When there is a certain stolen current, the correlation coefficient between the calculation result of the load current characteristic stored in the load current characteristic storage unit and the load current characteristic calculated by the load current characteristic calculation unit is expressed by one or more A correlation coefficient calculation unit that calculates each of the consumers, a correlation coefficient determination unit that determines whether or not the correlation coefficient calculated by the correlation coefficient calculation unit is a threshold value or more, and the correlation coefficient Based on the determination result of the determination unit , And a theft source determination unit determines the cause of the power theft current, a theft monitoring apparatus.

  Further, the power theft monitoring method of one aspect of the present invention is a monitoring method executed by a monitoring system that monitors a power distribution system that supplies power to one or a plurality of consumers by a distribution line drawn from a distribution substation. Calculating a load current characteristic of one or a plurality of consumers; storing a calculation result of the load current characteristic; and a stealing current that is an unsigned current among the load currents flowing through the distribution line. In some cases, a correlation coefficient between the calculation result of the load current characteristic stored in the storing step and the load current characteristic calculated in the calculating step is calculated for each of one or a plurality of the consumers. Determining the cause of the theft current based on a step, a step of determining whether the correlation coefficient is greater than or equal to a threshold, and a determination result of whether the correlation coefficient is greater than or equal to the threshold. And a step of a monitoring method.

  One aspect of the present invention provides a computer of a monitoring system that monitors a distribution system that supplies power to one or a plurality of consumers by a distribution line drawn from a distribution substation. A step of calculating a load current characteristic; a step of storing the calculation result of the load current characteristic; and a step of storing when there is a stealing current that is an unsigned current among the load currents flowing through the distribution line. Calculating a correlation coefficient between the stored calculation result of the load current characteristic and the load current characteristic calculated in the calculating step for each of the one or a plurality of the consumers; and the correlation coefficient is a threshold value And a step of determining whether or not the cause of the theft current is based on a determination result of whether or not the correlation coefficient is greater than or equal to a threshold value. That is a program.

  According to the present invention, it is possible to reduce the effort for detecting theft.

It is a figure which shows an example of the monitoring object equipment of the theft monitoring system which concerns on this embodiment. It is a figure showing an example of the composition of the theft monitoring system concerning a 1st embodiment. It is a figure which shows an example of the contract classification of an electric power supply contract. It is a figure which shows an example of the load curve in each system | strain of the distribution line DST. It is a figure which shows an example of the composition ratio of the contract height for every contract classification about the load curve of the distribution line DST. It is a figure which shows an example of the cluster analysis result by the prediction electric current calculation part of the theft monitoring apparatus which concerns on 1st Embodiment. It is a figure which shows an example of a load current characteristic. It is a figure which shows an example of the operation | movement of theft monitoring which concerns on 1st Embodiment. It is a figure which shows an example of the calculation result of the stolen current by the theft determination part of the theft monitoring apparatus which concerns on 1st Embodiment. It is a figure which shows an example of a structure of the theft monitoring system which concerns on 2nd Embodiment. It is a figure which shows an example of the operation | movement of theft monitoring which concerns on 2nd Embodiment. It is a figure which shows an example of the operation | movement of theft monitoring which concerns on 2nd Embodiment.

Next, a theft monitoring system, a theft monitoring apparatus, a theft monitoring method, and a program according to the present embodiment will be described with reference to the drawings. Embodiment described below is only an example and embodiment to which this invention is applied is not restricted to the following embodiment.
Note that components having the same function are denoted by the same reference symbols throughout the drawings for describing the embodiments, and the repetitive description will be omitted.
Further, “based on XX” in the present application means “based on at least XX”, and includes a case based on another element in addition to XX. Further, “based on XX” is not limited to the case where XX is directly used, but also includes the case where it is based on an operation or processing performed on XX. “XX” is an arbitrary element (for example, arbitrary information).

(First embodiment)
Hereinafter, a theft monitoring system according to the first embodiment will be described with reference to the drawings. First, with reference to FIG. 1, the outline | summary of the monitoring object equipment of the theft monitoring apparatus 10 is demonstrated.
(Outline of theft monitoring system)
FIG. 1 is a diagram illustrating an example of equipment to be monitored in the theft monitoring system according to the first embodiment. In this example, the facility to be monitored is a power distribution system 1 for supplying power. The distribution system 1 includes a substation SB, a distribution line DST (distribution line DST-A, distribution line DST-B), a utility pole EP (a utility pole EPA0, a utility pole EPA1, a utility pole EPA2, a utility pole EPA3, a utility pole EPB1, and a utility pole EPB2). Is provided.
The substation SB converts power supplied from a power station (not shown), and supplies the converted power to the distribution line DST.
The distribution line DST distributes the electric power supplied from the substation SB to consumers. In this example, the distribution line DST includes two types of systems, an A system (distribution line DST-A) and a B system (distribution line DST-B). The utility pole EP (the utility pole EPA0, the utility pole EPA1, the utility pole EPA2, the utility pole EPA3) suspends the distribution line DST-A, and the utility pole EP (the utility pole EPB1 and the utility pole EPB2) suspends the 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 transformer to the customer. A consumer is a person who is receiving and using electricity such as a house, a commercial facility, or a factory. Hereinafter, the power consumed by the house or this house is also referred to as a house load H. Moreover, the electric power consumed by a commercial facility or factory, or this commercial facility or factory is also referred to as a commercial and industrial load F.

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

Here, there are two types of consumers: a regular consumer who receives power supply based on a power supply contract concluded with a power supplier, and a non-regular person who receives power supply not based on a power supply contract. Suppose there is a customer. Furthermore, even if it is a regular consumer, it is assumed that there is a consumer who steals power from the power supplied to other regular consumers.
Regular customers are also referred to as contract customers or contract loads HA and FA. Non-regular customers are also referred to as non-contracted customers or non-contracted load NCs. In addition, use of power supplied by the power distribution system 1 by an uncontracted consumer or uncontracted load NC, and supply to another contracted customer or contracted load HA, FA by the contracted customer or contracted load HA, FA. Stealing power from power is also referred to as stealing. In other words, power theft is the use of power by an uncontracted consumer or uncontracted load NC, or the use of power supplied to another contracted consumer or contracted load HA or FA by a contracted customer or contracted load HA or FA. is there.

In the example shown in FIG. 1, the non-contracted load NCA1 is connected to a pole transformer installed in the utility pole EPA0 of the distribution line DST-A by connecting the uncontracted service line NCL1 to the power from the distribution line DST-A. Receive supply. Here, for the use of power by the non-contracted load NCA1, it is not possible to charge a power charge based on the power supply contract. That is, when unsigned load NCA1 exists, electric power is exploited. For this reason, power theft is a problem for power suppliers.
Further, the non-contracted load NCA2 is connected to the service line SLA3 connected to the pole transformer installed on the power pole EPA3 of the power distribution line DST-A by connecting the power service NCL2 to the power distribution line DST-A. Receive supply. Here, for the use of electric power by the non-contracted load NCA2, the electric power charge based on the electric power supply contract is added to the commercial and industrial load F and charged. In other words, commercial facilities and factories will be charged for power that is not being used, and will not be charged fairly. For this reason, power theft is a problem for power suppliers. Although FIG. 1 shows the case where the non-contracted load NCA2 is connected to the transformer of the utility pole EPA3 and directly receives power (theft) from the transformer, it is not limited to this example. For example, the non-contracted load NCA2 may be received (stolen) via a commercial and industrial load by being connected to the industrial load FA1.
Further, the contract load HB1 (house load HB1) is obtained by connecting the contract service line SLB1 to the service line SLB2 connected to the pole transformer installed on the power pole EPB2 of the distribution line DST-B. Stealing the electric power supplied to the house load HB2. Here, for the use of power by the contract load HB1, the power charge based on the power supply contract is added to the house load HB2 and charged. That is, the contractor of the house HB2 is billed for the power that is not used, and the bill for the power charge is not performed fairly. For this reason, power theft is a problem for power suppliers. In FIG. 1, the contract load HB1 is connected to the service line SLB2 connected to the pole transformer installed on the power pole EPB2 of the power 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 house load HB2, the contracted party (contract load HB1) may receive (stolen) the power supplied to the neighboring house (house load HB2).
Therefore, it is desirable that the power supplier can detect the use of power by the uncontracted load NCA1, the uncontracted load NCA2, and the contracted load HB1, that is, theft. Hereinafter, a mechanism in which the theft monitoring apparatus 10 detects theft will be described.

FIG. 2 is a diagram illustrating an example of the configuration of the theft monitoring system according to the first embodiment. The theft monitoring system includes an equipment information storage unit 20, a contract information storage unit 30, a current detection unit 40-1, a current detection unit 40-2,..., A current detection unit 40-n (n is n> 0). ), A power meter 50-1, a power meter 50-2,..., A power meter 50-m (m is an integer of m> 0), and a theft monitoring device 10.
The theft monitoring device 10 includes a CPU (Central Processing Unit) connected via a bus, a memory, an auxiliary storage device, and the like, and by executing a theft monitoring program, a predicted current calculation unit 101, a detected current acquisition unit 102, Power theft determination unit 103, load current characteristic calculation unit 104, load current characteristic storage unit 105, correlation coefficient calculation unit 106, correlation coefficient determination unit 107, load current characteristic determination unit 108, and theft power generation source determination It functions as a device including the unit 109.
The predicted current calculation unit 101, the detected current acquisition unit 102, the power theft determination unit 103, the load current characteristic calculation unit 104, the load current characteristic storage unit 105, the correlation coefficient calculation unit 106, and the correlation coefficient determination All or some of the functions of the unit 107, the load current characteristic determination unit 108, and the theft power generation source determination unit 109 are LSI (Large Scale Integration), ASIC (Application Specific Integrated Circuit), and PLD (Programmable Logic Device). Or hardware such as an FPGA (Field Programmable Gate Array).
The theft monitoring program may be recorded on a computer-readable recording medium. The computer-readable recording medium is, for example, a portable medium such as a flexible disk, a magneto-optical disk, a ROM, a CD-ROM, or a storage device such as a hard disk built in the computer system. The theft monitoring program may be transmitted via a telecommunication line.

The predicted current calculation unit 101 calculates a predicted current value that 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 facility 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 lines DST and the number of sections of distribution lines DST of each system.
The contract information storage unit 30 stores power supply contract information. Specifically, the contract information storage unit 30 stores the contract type and contract amount of each customer, the section SEC of the distribution line DST connected to the customer, and the like for each customer. Here, an example of the contract type will be described with reference to FIG.

FIG. 3 is a diagram illustrating an example of a contract type of a power supply contract. The contract type includes a low-pressure contract and a high-pressure contract. The low-pressure contract includes an electric light contract and a power contract. The high voltage contract includes a commercial power contract and a high voltage power contract.
Returning to FIG. 2, the description of the predicted current calculation unit 101 will be continued. The predicted current calculation unit 101 calculates the composition ratio of the contract height for each contract type for the distribution lines DST of each system by cluster analysis.
FIG. 4 is a diagram illustrating an example of a load curve 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, the load curves per day of the A system distribution line DST-A and the B system distribution line DST-B are shown. Here, the load curve of the distribution line DST-A is indicated by the current waveform WA. Further, the load curve of the distribution line DST-B is indicated by a current waveform WB. In the following description, the load curve is also described as a demand characteristic and a load current characteristic.

FIG. 5 is a diagram illustrating an example of the composition ratio of the contract height for each contract type regarding the load curve of the distribution line DST. In the example shown in FIG. 5, for each of the A system distribution line DST-A and the B system distribution line DST-B, the composition ratio of the contract amount for each contract type is shown. According to FIG. 5, it is understood that the distribution line DST-A of the A system has a small component ratio of electric light, power, and business power compared to the component ratio of high voltage power and a large component ratio of high voltage power.
In addition, the distribution line DST-B of the B system has a composition ratio of the lamp that is larger than the composition ratio of the power and the composition ratio for business use, and the composition ratio of the work power is the second largest after the composition ratio of the lamp light. The composition ratio of power 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 that provides the composition ratio of the contract height for each contract type calculated by cluster analysis.
In addition, the predicted current calculation unit 101 may calculate the characteristics of the road curve for each month, weekday, holiday, and hour by hour in the cluster analysis. In this case, the predicted current calculation unit 101 calculates the characteristics of the load curve for each month, weekday, holiday, and hour. An example of the result of the predicted current calculation unit 101 calculating the characteristics of the load curve will be described.

FIG. 6 is a diagram illustrating an example of a cluster analysis result by the predicted current calculation unit of the theft monitoring apparatus according to the first embodiment. In FIG. 6, the horizontal axis represents the composition ratio of the contract height for each contract type. The predicted current calculation unit 101 clusters the characteristics of the above-described load curve into several types of load patterns for each month, weekday, and holiday. FIG. 6 shows an example in which weekday load curves of an arbitrary month are clustered into four types of load patterns.
The load pattern 1 has a relatively large component ratio of the lamp and a relatively small component ratio of power, business power, and high voltage power. Moreover, the load pattern 2 has the same component ratio of electric light, high-voltage power, power, and business power. The load pattern 3 has a relatively large composition ratio of work amount power, and a relatively small composition ratio of electric light, power, and high-voltage power. The load pattern 4 has a relatively high composition ratio of high-voltage power and a relatively small composition ratio of electric light, power, and workload.
Returning to FIG. 2, the description of the predicted current calculation unit 101 will be continued. The predicted current calculation unit 101 calculates a predicted current based on the result of cluster analysis. In this example, the predicted current calculation unit 101 calculates a predicted current by multiple regression analysis. Note that the predicted current calculation unit 101 may calculate the predicted current by neural network analysis or time series analysis instead of the multiple regression analysis.

The detected current acquisition unit 102 acquires an actual measurement value of the current flowing through the distribution line DST. Here, the actual measurement value of the current flowing through the distribution line DST is also referred to as a detected current value. That is, the detected current acquisition unit 102 acquires a detected current value that is a value in which a load current flowing through the electric wire is detected.
The detected current acquisition unit 102 is connected to the current detection unit 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, and the current detection unit 40 can be installed in various distribution facilities of the distribution system 1. For example, the current detection unit 40 includes the distribution line DST. In this case, the current detector 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. In addition, the current detection unit 40 may be installed in each power pole EP, or the current detection unit 40 may be installed for each section SEC of the distribution line DST. But installed at the feeding point Continuing with the description for the case to be.

  Theft detection unit 103 is connected to the predicted current calculation unit 101 and the detected current acquisition unit 102. The power theft determination unit 103 is based on the predicted current value calculated by the predicted current calculation unit 101 and the detected current value acquired by the detected current acquisition unit 102. Whether or not there is a theft is determined by determining whether or not there is power. The theft detection unit 103 determines that there is a theft if a theft current is detected, and determines that there is no theft if no theft current is detected. Theft detection unit 103 outputs to the correlation coefficient calculation unit 106 the determination result as to whether or not there is a theft including the power supply point ID.

The load current characteristic calculation unit 104 is connected to a power meter 50 (a power meter 50-1, a power meter 50-2,..., A power meter 50-3) such as a smart meter. The load current characteristic calculation unit 104 acquires a 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 includes a current sensor and detects a load current value supplied to a consumer. The load current characteristic calculation unit 104 acquires a load current value during an acquisition period such as a week or a month. Here, the case where the acquisition period is one day is continued. The load current characteristic calculation unit 104 calculates the load current characteristic by standardizing the acquired load current value.
Specifically, the load current characteristic calculation unit 104 acquires the maximum value amax of the load current value from the load current value during the acquired acquisition period. The load current characteristic calculation unit 104 standardizes each of the acquired load current values during the acquisition period by dividing the load current value by the maximum value amax of the load current value. Here, each of the load current values during the acquired acquisition period is set to “a (t)” (t is time), the maximum value of the load current value during the acquisition period is set to “amax”, and the standardized load If the current value is “a ′ (t)”, then 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 the load current characteristic storage unit To 105.
The load current characteristic storage unit 105 stores the load current characteristic output by the load current characteristic calculation unit 104, the consumer ID, and information indicating the acquisition period in association with each other.

The correlation coefficient calculation unit 106 acquires a determination result as to whether or not there is a theft that has been output by the theft power determination unit 103. The correlation coefficient calculation unit 106 performs the following process when the determination result of whether there is theft or not indicates that there is theft. The correlation coefficient calculation unit 106 specifies the distribution line DST in which the power supply point corresponding to the ID of the power supply point included in the determination result as to whether or not there is theft. Correlation coefficient calculation unit 106 specifies a consumer who acquires the current supplied from the specified distribution line DST. The correlation coefficient calculation unit 106 acquires the load current characteristics during the acquisition period from the watt-hour meter 50 installed in the identified consumer. Here, the load current value acquired 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 “bb”. Assuming that “(t)”, b ′ (t) = b (t) / bmax.
Further, the correlation coefficient calculation unit 106 acquires the load current characteristic associated with the identified consumer ID from the load current characteristic storage unit 105.
The correlation coefficient calculation unit 106 includes a load current characteristic acquired from the load current characteristic calculation unit 104 (hereinafter referred to as “load current characteristic B”) and a load current characteristic acquired from the load current characteristic storage unit 105 (hereinafter referred to as “load current characteristic B”). Correlation with the current characteristic 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)). Is done. The correlation coefficient calculation unit 106 outputs the calculation result of the correlation coefficient to the correlation coefficient determination unit 107.

The correlation coefficient determination unit 107 acquires the calculation result of the correlation coefficient output from the correlation coefficient calculation unit 106. The correlation coefficient determination unit 107 determines whether the calculation result of the correlation coefficient is greater than or equal to the correlation coefficient threshold value. When the correlation coefficient calculation result is equal to or greater than the correlation coefficient threshold, the correlation coefficient determination unit 107 determines information indicating that the correlation coefficient calculation result is equal to or greater than the correlation coefficient threshold, Output to the unit 109. When the correlation coefficient calculation result is less than the correlation coefficient threshold value, the correlation coefficient determination unit 107 uses the load current characteristic determination information to indicate that the correlation coefficient calculation result is less than the correlation coefficient threshold value. To the unit 108.
When the load current characteristic determination unit 108 acquires information indicating that the calculation result of the correlation coefficient output from the correlation coefficient determination unit 107 is less than the correlation coefficient threshold, the correlation is calculated from the correlation coefficient calculation unit 106. The load current characteristic A and the load current characteristic B used to calculate the number are acquired. 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. The load current characteristic determination unit 108 outputs the determination result of the load current characteristic to the theft power generation source determination unit 109.
The theft power generation source determination unit 109 outputs information indicating that the correlation coefficient calculation result output by the correlation coefficient determination unit 107 is equal to or greater than the correlation coefficient threshold, and the uncontracted load is theft By connecting a non-contracted lead-in wire to the pole transformer installed in the power pole EP of the power distribution line DST in which the power supply point corresponding to the power supply point ID included in the determination result is determined. It is determined that the power supply is received from.
Correlation coefficient determination unit 107 determines that the calculation result of the correlation coefficient related to a consumer who acquires the current supplied from the distribution line DST where the power supply point where theft is found is greater than or equal to the correlation coefficient threshold. In this case, the calculated load current characteristic is similar to the past load current characteristic. That is, the theft determination unit 103 determines that there is a theft, and the correlation coefficient calculation unit 106 determines that the load current characteristics are similar. In this case, it is assumed that non-contracted consumers other than the contracted consumer are supplied with power from the distribution line DST.

The theft power 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 as the determination result of the load current characteristic output from the load current characteristic determination unit 108. In other words, the other contract load is installed on the power 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 contract load is stolen by connecting the contract service line to the service line connected to the pole transformer.
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 correlation coefficient determination unit 107 However, it is determined that the calculated load current characteristic is not similar to the past load current characteristic, and the load current characteristic determination unit 108 increases the calculated load current characteristic as compared with the past load current characteristic. It will be judged. In this case, it is assumed that another contract customer is stealing the electric power supplied to the contract customer from which the load current characteristic calculated from the distribution line DST was obtained.
The theft power 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 as the determination result of the load current characteristic output from the load current characteristic determination unit 108. In the case where the uncontracted load is not indicated, the uncontracted load is connected to the lead-in wire connected to the pole transformer installed in the utility pole EP of the distribution line DST by connecting the uncontracted service line from the distribution line DST. It is determined that power is being supplied.
When the load current characteristic determination unit 108 determines that the load current value included in the load current characteristic B has not increased with respect to the load current value included in the load current characteristic A, the correlation coefficient determination unit 107 However, it is determined that the calculated load current characteristic is not similar to the past load current characteristic, and the load current characteristic determination unit 108 decreases the calculated load current characteristic as compared with the past load current characteristic. It will be judged. In this case, it is assumed that the non-contracted consumer is supplied with electric power supplied to the contracted consumer from which the load current characteristic calculated from the distribution line DST is obtained.

The actual load current in each consumer shows different characteristics depending on the season and the demand characteristics of the supply destination such as a house, a commerce, and an industry. On the other hand, a smart meter of a customer who is stealing power exhibits a unique load current characteristic such as a sudden change in load current after a certain time.
The theft monitoring apparatus 10 stores a load curve obtained by standardizing actual measurement data for each consumer obtained by a watt-hour meter 50 such as a smart meter on a monthly, weekly, or daily basis. Further, the theft monitoring apparatus 10 calculates a standard load curve for each customer at a monthly unit, a week unit, or a day unit.
The theft monitoring apparatus 10 determines whether there is a possibility of theft by comparing the calculated road curve with a past load curve such as the previous month. Specifically, the theft monitoring apparatus 10 calculates a normalized load curve, and calculates a correlation coefficient between the calculated normalized load curve and the load curve of the previous month. The theft monitoring apparatus 10 determines the cause of the theft based on the calculated correlation coefficient.
Here, the load current characteristic will be described in detail.
FIG. 7 is a diagram illustrating an example of load current characteristics. 7A is an example of the load current characteristic A stored in the load current characteristic storage unit 105. FIG. (B) is an example of the calculated load current characteristic B, and shows a case where the load current value of the load current characteristic B is increased as compared with the load current value of the load current characteristic A. (C) is an example of the calculated load current characteristic B, and shows a case where the load current value of the load current characteristic B is decreased as compared with the load current value of the load current characteristic A. 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 0 o'clock and 5 o'clock and between 19 o'clock and 23 o'clock 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. It is assumed that this is because another contract customer steals power supplied from the distribution line DST to the contract customer between 19:00 and 23:00. For this reason, it is assumed that the load current characteristic of the contract customer whose power is stolen increases, but the load current characteristic of the contract customer who steals power decreases.
According to (A) and (C), compared with 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 an uncontracted consumer is supplied with power supplied from the distribution line DST to the contracted consumer from 19:00 to 23:00. For this reason, the electric power supplied to the non-contracted consumer does not appear in the load current characteristic.

(Operation of theft monitoring device)
Next, a specific example of the operation of each unit of the theft monitoring apparatus 10 will be described with reference to FIG.
FIG. 8 is a diagram illustrating an example of the operation of the theft monitoring apparatus according to the present embodiment.
(Step S10)
The predicted current calculation unit 101 of the theft monitoring apparatus 10 calculates the predicted current based on the formula (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 calculation unit 101 calculates these 16 types of current values as predicted current values as shown in Expression (2).

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

An example of the calculation result of the stolen current by the stealing determination unit 103 is shown in FIG.
FIG. 9 is a diagram illustrating an example of a calculation result of the stolen current by the theft determination unit of the theft monitoring apparatus according to the present embodiment. The theft power 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) acquired by the detected current acquisition unit 102, thereby obtaining a theft current value (current Waveform W3) is calculated.
The theft detection unit 103 determines that there is theft when the calculated theft current value is equal to or greater than the theft current threshold, and determines that there is no theft when the theft current value is less than the theft current threshold. When the theft determination unit 103 determines that there is no theft, the process returns to step S10. If the theft detection unit 103 determines that there is a theft, the process proceeds to step S40. Theft detection unit 103 outputs to the correlation coefficient calculation unit 106 the determination result as to whether or not there is a theft including the power supply point ID.
(Step S40)
The correlation coefficient calculation unit 106 of the theft monitoring apparatus 10 acquires the current supplied from the distribution line DST in which the feeding point indicated by the feeding point ID included in the determination result of whether or not there is theft. Identify the house. The correlation coefficient calculation unit 106 acquires the load current characteristics of the acquisition period from the watt-hour meter 50 installed in the identified consumer. Further, the correlation coefficient calculation unit 106 acquires the load current characteristic associated with the identified consumer ID from the load current characteristic storage unit 105. The correlation coefficient calculation unit 106 calculates a correlation coefficient between the load current characteristic B acquired from the load current characteristic calculation unit 104 and the load current characteristic A acquired from the load current characteristic storage unit 105. The correlation coefficient calculation unit 106 outputs the calculation result of the correlation coefficient to the correlation coefficient determination unit 107.

(Step S50)
The correlation coefficient determination unit 107 of the theft monitoring apparatus 10 determines whether the calculation result of the correlation coefficient is equal to or greater than a correlation coefficient threshold value. The correlation coefficient determination unit 107 determines that there is a correlation when the calculation result of the correlation coefficient is equal to or greater than the correlation coefficient threshold, and there is no correlation when the calculation result of the correlation coefficient is less than the correlation coefficient threshold. Is determined. When the correlation coefficient determination unit 107 determines that there is a correlation, the process proceeds to step S60, and when it is determined 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 non-contracted load is not applied to the pole transformer installed on the power pole EP of the distribution line DST. It is determined that power is supplied from the distribution line DST by connecting the contracted service line.
(Step S70)
When the correlation coefficient determination unit 107 determines that there is no correlation, the load current characteristic determination unit 108 of the theft monitoring apparatus 10 receives the load current characteristic A used for calculating the correlation coefficient from the correlation coefficient calculation unit 106. The load current characteristic B is acquired. 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 increases. If not, the process proceeds to step S90.

(Step S80)
The theft detection source determination unit 109 of the theft monitoring device 10 indicates 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. If the contract load is stealing the electric power supplied from the distribution line DST to the contract load by connecting the contract service line to the service line connected to the pole transformer installed on the utility pole EP of the distribution line DST. judge.
(Step S90)
If the theft detection source determination unit 109 of the theft monitoring device 10 does not indicate that the load current value included in the load current characteristic B has increased with respect to the load current value included in the load current characteristic A, It is determined that the unsigned load is supplied with power from the distribution line DST by connecting the uncontracted service line to the service line connected to the pole transformer installed on the utility pole EP of the distribution line DST.
The theft detection source determination unit 109 of the theft monitoring apparatus 10 may output information indicating the theft generation source to a device outside the theft monitoring apparatus 10. The theft monitoring device 10 can inform the person in charge of the monitoring operation of the theft of the theft by outputting this source of theft.

In the first embodiment described above, the case where the theft monitoring apparatus 10 derives the correlation coefficient between the daily load current characteristics and the past load current characteristics has been described, but the present invention is not limited to this example. For example, the correlation coefficient between the load current characteristic for one week and the past load current characteristic may be derived, or the correlation coefficient between the load current characteristic for one month and the past load current characteristic It may be derived.
In the first embodiment described above, the theft determination unit 103 of the theft monitoring apparatus 10 has a theft current that is an unsigned current out of the load current flowing through the electric wire based on the predicted current value and the detected current value. However, the present invention is not limited to this example. For example, the theft power determination unit 103 determines the presence or absence of theft based on an actual measurement current value that is a current value measured by a watt-hour meter such as a smart meter installed for each consumer and a detected current value. You may do it. In this case, the burglary determination unit 103 acquires the measured current value from the watt hour meter. Further, the theft detection unit 103 may determine the presence or absence of theft based on one or both of the predicted current value and the measured current value and the detected current value.
Although 1st Embodiment mentioned above demonstrated the case where the electric current detection part 40 installed in a feeding point and the watt-hour meter 50 installed in a consumer differ, it is not restricted to this example. For example, the current detection unit 40 may be installed in a consumer, and it may be determined whether there is power theft based on a detection current detected by the current detection unit 40 installed in the consumer.
In the first embodiment described above, the case where the theft monitoring device 10 determines whether there is a theft and determines the source of theft, but the present invention is not limited to this example. For example, the theft monitoring device 10 may be configured by a device that determines whether there is a theft and a device that determines the source of theft.
According to the theft monitoring apparatus 10 according to the first embodiment described above, a distribution system that supplies power to one or a plurality of consumers is monitored by a distribution line drawn from a distribution substation. The theft monitoring apparatus 10 calculates the load current characteristics of one or a plurality of consumers and stores the calculation results of the load current characteristics. The theft monitoring device 10 has a correlation coefficient between the calculated calculation result of the load current characteristic and the calculated load current characteristic when there is a theft electric current that is an uncontracted current among the load currents flowing through the distribution line. It calculates about each of one or several consumers, it is determined whether the calculated correlation coefficient is more than a correlation coefficient threshold value, and the generation | occurrence | production cause of a theft electric current is determined based on the determination result.
By configuring in this way, it is possible to determine the cause of the occurrence of theft current without performing a patrol. Furthermore, in addition to whether or not theft is occurring in the power distribution system, it is possible to determine whether or not theft is occurring at a consumer who receives power supply. In addition, the cause of theft of electric power can be determined from measurement data such as a smart meter without newly installing a watt hour meter or the like for measuring a load current in a transformer or the like.

Moreover, according to the theft monitoring apparatus 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 value where the load current flowing through the distribution line is detected. Based on the load current flowing through the distribution line, it is determined whether there is a stealing current that is an uncontracted current, and when it is determined that there is a stealing current, the calculation result of the stored load current characteristics and the calculated A correlation coefficient with the load current characteristic is calculated for each of one or a plurality of consumers.
By configuring in this way, it is possible to determine the power system in which theft is occurring. Furthermore, it is possible to determine whether or not theft is occurring at a consumer who receives power supply from the power system that has been determined that theft has occurred.
Moreover, according to the theft monitoring apparatus 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 characteristic increases, Based on the determination result, the cause of the occurrence of theft current is determined.
By configuring in this way, the cause of the occurrence of theft electric current is caused by connecting the contracted service line to the service line connected to the pole transformer installed on the power 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 service line to the service line connected to the pole transformer installed on the power pole EP of the distribution line DST. It can be determined whether or not power is supplied from the distribution line DST.

Moreover, according to the theft monitoring apparatus 10 according to the first embodiment, when the determination result indicates that the load current of the load current characteristic is reduced, the service line connecting the distribution line and the contracted customer is connected to the service line. It is determined that an uncontracted consumer is connected.
By configuring in this way, it can be determined that the cause of the theft electric current is that an uncontracted consumer is connected to the service line connecting the distribution line and the contracted consumer. Furthermore, by detecting the time zone in which the load current of the load current characteristic decreases, it is possible to grasp the time zone during which theft is performed. Since the time zone during which theft is being conducted can be grasped, it is possible to make a patrol in a time zone where it is easy to find out that theft is being conducted.
Moreover, according to the theft monitoring apparatus 10 according to the first embodiment, when the determination result indicates that the load current of the load current characteristic increases, the service line connecting the distribution line and the contracted customer is connected to the service line. 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 characteristic increases, the service line connecting the distribution line and the contracted consumer is connected to the service line other than the contracted consumer. It can be determined that the contracted consumer is connected. Furthermore, by detecting the time zone in which the load current of the load current characteristic increases, the time zone during which theft is performed can be grasped. Since the time zone during which theft is being conducted can be grasped, it is possible to make a patrol in a time zone where it is easy to find out that theft is being conducted.
Moreover, according to the theft monitoring apparatus 10 according to the first embodiment, when it is determined that the correlation coefficient is equal to or greater than the correlation coefficient threshold, an uncontracted current flows from the distribution line to an uncontracted customer. It is determined that By comprising in this way, when it determines with a correlation coefficient being more than a correlation coefficient threshold value, it can determine with the non-contracted electric current flowing from the distribution line to the non-contracted consumer.

(Second Embodiment)
Hereinafter, a theft monitoring system according to the second embodiment will be described with reference to the drawings. First, an overview of equipment to be monitored by the theft monitoring apparatus 10a will be described.
(Outline of theft monitoring system)
FIG. 1 can be applied to an example of equipment to be monitored by the theft monitoring system according to the second embodiment. In the first embodiment, as a technique for discovering theft in the distribution system, the presence / absence of theft based on the predicted current value calculated by the predicted current calculation unit 101 and the detected current value acquired by the detected current acquisition unit 102 The case of determining is described.
Moreover, in 1st Embodiment, about the case where the presence or absence of theft is determined based on the measured current value measured by the watt-hour meter 50 such as a smart meter installed for each consumer and the detected current value. explained.

In the first embodiment, if a communication error occurs due to the lack of infrastructure such as communication facilities, the theft monitoring apparatus 10 of the first embodiment is installed at a power supply point such as a transformer. Of the detected current value measured by each of the detected current detectors 40-1 to 40-n and the watt-hour meters 50-1 to 50-m such as smart meters installed for each consumer. It is assumed that either or both of the measured current values measured by each cannot be acquired.
Further, if a power failure occurs, in the power theft monitoring apparatus 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 is changed. One or both of the measured detected current value and the measured current value measured by each of the watt-hour meters 50-1 to 50-m such as a smart meter installed for each consumer cannot be acquired. Is assumed.

Conventionally, when a person visually determines whether a measured value (detected current value, measured current value) is abnormal, and determines whether the measured value determined to be abnormal is stealing Were excluded from the target. For this reason, it has been labor intensive to monitor theft. If it is determined whether or not it is a theft using a value determined to be abnormal, there is a risk of erroneously determining whether or not it is a theft.
Further, when a measurement value is missing due to a communication error or the like, the theft monitoring apparatus 10 of the first embodiment determines whether or not it is a theft because it determines that a normal value could not be acquired. In some cases, it may not be possible to secure the data necessary for this.
The theft monitoring device 10a of the second embodiment acquires the detected current value measured by each of the current detectors 40-n from the current detector 40-1, and from the acquired detected current values, missing data and error data Any one or both of these are extracted, and either one or both of the extracted missing data and error data are removed. The theft monitoring apparatus 10a determines theft based on the remaining detected current value obtained by removing either one or both of missing data and error data from the acquired detected current value.

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

The theft monitoring apparatus 10a calculates an average value for each measurement time from the detected current value remaining by removing the missing data. The theft monitoring apparatus 10a calculates a standard deviation based on the calculated average value and the remaining detected current value, and determines whether the detected current value is error data based on the calculated standard deviation. . The theft monitoring apparatus 10a removes the detected current value determined to be error data.
The theft monitoring apparatus 10a determines whether or not there is a theft current that is an unsigned current out of the load current flowing through the electric wire based on the detected current value remaining by removing the detected current value determined to be error data. By determining whether or not there is power theft.
Further, the theft monitoring apparatus 10a acquires the measured current value measured by each of the watt-hour meter 50-1 to the watt-hour meter 50-m, and either one of missing data and error data is acquired from the acquired measured current value. Alternatively, both are extracted, and one or both of the extracted missing data and error data are removed. The theft monitoring apparatus 10a determines theft on the basis of the current obtained by removing one or both of missing data and error data from the acquired actual measurement current value.

Hereinafter, the theft monitoring device 10a acquires the measured current value measured by each of the watt-hour meter 50-1 to the watt-hour meter 50-m, extracts missing data from the acquired plurality of measured current values, and extracts the missing Remove data. Then, description will be continued for the case where the theft monitoring device 10a extracts error data from the measured current value remaining after removing missing data, and removing the extracted error data.
Specifically, the theft monitoring apparatus 10a acquires the measured current value measured by each of the watt-hour meters 50-1 to 50-m at a predetermined cycle such as weekly or monthly. Here, as an example, the description will be continued for the case of acquiring in units of months. For example, the theft monitoring device 10a acquires the measured current value measured by each of the watt-hour meter 50-1 to the watt-hour meter 50-m for each measurement time such as one hour for each of the first to thirty days. To do. The theft monitoring apparatus 10a extracts missing data (null) from the acquired actual measured current value, and removes the extracted missing data.

  The theft monitoring apparatus 10a calculates an average value for each measurement time from the measured current value remaining by removing the missing data. The theft monitoring apparatus 10a calculates a standard deviation based on the calculated average value and the remaining measured current value, and determines whether the measured current value is error data based on the calculated standard deviation. . The theft monitoring apparatus 10a removes the measured current value determined to be error data. The theft monitoring apparatus 10a determines whether or not there is a stealing current that is an uncontracted current among the load currents flowing through the electric wires based on the remaining measured current value determined by removing the measured current value determined to be error data. By determining whether or not there is power theft.

FIG. 10 is a diagram illustrating an example of the configuration of the theft monitoring system according to the second embodiment.
The theft monitoring system includes an equipment information storage unit 20, a contract information storage unit 30, a current detection unit 40-1, a current detection unit 40-2,..., A current detection unit 40-n (n is n> 0). ), A watt hour meter 50-1, a watt hour meter 50-2,..., A watt hour meter 50-m (m is an integer of m> 0), and a theft monitoring device 10a.
The theft monitoring device 10a differs from the 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. Furthermore, compared to the theft monitoring apparatus 10 of the first embodiment, the theft monitoring apparatus 10 a includes a detection current acquisition unit 102 a instead of the detection current acquisition unit 102, and a load current instead of the load current characteristic calculation unit 104. The difference is that a characteristic calculation unit 104a is provided.
Hereinafter, an extraction unit 110, an error data removal unit 111, a detection 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 theft monitoring apparatus 10 of the first embodiment. 104a will be described.

Extraction unit 110 acquires a detected current value of a current flowing through distribution line DST. That is, the extraction unit 110 acquires a detected current value that is a value in which the load current flowing through the electric wire is detected. The extraction unit 110 outputs the acquired detected current value to the error data removal unit 111.
Specifically, the extraction unit 110 is connected to the current detection unit 40 (current detection unit 40-1, current detection unit 40-2,..., Current detection unit 40-n). The current detection unit 40 includes a current sensor and detects a current value of a 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 electric current detection part 40 is installed in the end by the side of the substation SB of the distribution line DST, ie, a 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. Moreover, the electric current detection part 40 may be installed in each utility pole EP. Moreover, the electric current detection part 40 may be installed for every area SEC of the distribution line DST. In the present embodiment, the description continues when the current detection unit 40 is installed at a power feeding point.

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 the current detection unit 40-1 to the current detection unit 40-n for each measurement time such as one hour for each of the 1st to 30th. A plurality of detected current values acquired from
The error data removing unit 111 extracts missing data (null) from each of the acquired plurality of 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 value from which the missing data is removed. Specifically, the error data removal unit 111 derives an average value for each measurement time according to Equation (4).

In Equation (4), DT1 _d ^(t) is a detected current value, bar DT1 _d ^(t) is an 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.
The error data removing unit 111 calculates the standard deviation σ1 _(t) based on the calculated average value and each of the remaining detected current values. Specifically, the error data removing unit 111 calculates the standard deviation σ1 _(t) according to the equation (5).

In equation (5), DT1 _d ^(t) is the detected current value, bar DT1 _d ^(t) is the average value of the detected current values measured at measurement time t, and d is measured at measurement time t. It is an argument of the remaining detection current value, n is the number of detection current values measured at the measurement time t, and σ1 _(t) is the standard deviation of the detection current value measured at the measurement time t.
Based on the calculated standard deviation σ1 _(t) , the error data removing unit 111 subtracts 2σ1 _(t) from the average value bar DT1 _d ^(t) of the detected current value is less than the remaining detected current value. 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 when Expression (6) is satisfied, and detects the detected current value DT1 _d ^(t) when Expression (6) is not satisfied. Is determined to be error data. The error data removing 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 value DT1 _d ^(t) from which the detected current value DT1 _d ^(t) determined to be error data is removed. 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 detection current acquisition unit 102a acquires an average value of detection current values for each measurement time output from the error data removal unit 111, and detects each measurement time based on the acquired average value of detection current values for each measurement time. The average value of the current values is taken as the detected current value for each measurement time.

The extraction unit 112 is connected to a watt hour meter 50 (a watt hour meter 50-1, a watt hour meter 50-2,..., A watt hour 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 a load current value supplied to the consumer. The extraction unit 112 acquires a load current value during an acquisition period such as a week or a month. Here, the description 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 acquired from each of the current detection unit 40-1 to the current detection unit 40-n for each hour from 1st to 30th. Includes multiple current values.
The error data removing unit 113 extracts missing data from each of the acquired plurality of load current values, and removes the extracted missing data.
The error data removal unit 113 calculates an average value for each measurement time based on the remaining load current value from which the missing data is removed. Specifically, the error data removal unit 113 derives an average value for each measurement time according to Equation (8).

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

In equation (9), DT2 _d ^(t) is the load current value, bar DT2 _d ^(t) is the average value of the load current values measured at measurement time t, and d is measured at measurement time t. The remaining load current values are arguments, n is the number of load current values measured at the measurement time t, and σ2 _(t) is the standard deviation of the load current values measured at the measurement time t.
The error data removal unit 113 subtracts 2σ2 _(t) from the average value DT2 _d ^{(t) of} the load current value based on the calculated standard deviation σ2 (t), and is less than the remaining load current value. It is determined 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 when the expression (10) is satisfied, and the load current value DT2 _d ^(t) when the expression (10) is not satisfied. Is determined to be error data. The error data removing unit 113 removes the load current value DT2 _d ^(t) determined to be error data.
The error data removal unit 113 calculates an average value for each measurement time based on the remaining load current value DT2 _d ^(t) from which the load current value DT2 _d ^(t) determined to be error data is removed. Specifically, the error data removal unit 113 derives an average value for each measurement time according to Equation (11).

The error data removing unit 113 calculates an average value of load current values for each measurement time for all measurement times. The error data removal unit 113 outputs the average value of the calculated load current values for each measurement time to the load current characteristic calculation unit 104a.
The load current characteristic calculation unit 104a acquires the average value of the load current value for each measurement time output from the error data removal unit 113, and based on the acquired average value of the load current value for each measurement time, The average value of the load current values is taken as the load current value for each measurement time. The load current characteristic calculation unit 104a calculates the load current characteristic by standardizing the acquired load current value.
Specifically, the load current characteristic calculation unit 104a acquires the maximum value amax of the load current value from the load current value during the acquired acquisition period. The load current characteristic calculation unit 104a standardizes each of the acquired load current values during the acquisition period by dividing the load current value by the maximum load current value amax. Here, each of the load current values during the acquired acquisition period is set to “a (t)” (t is time), the maximum value of the load current value during the acquisition period is set to “amax”, and the standardized load If the current value is “a ′ (t)”, then 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 ID of the consumer and information indicating the acquisition period, and the load current characteristic storage unit To 105.

(Operation of theft monitoring device)
Next, a specific example of the operation of each part of the theft monitoring apparatus 10a will be described with reference to FIGS.
FIG. 11 is a diagram illustrating an example of the operation of the theft monitoring apparatus according to the second embodiment. In the example shown in FIG. 11, the theft monitoring apparatus 10 a acquires the detected current value measured by each of the current detection units 40-n from the current detection unit 40-1, and obtains missing data from the acquired plurality of detected current values. Extract and remove the extracted missing data. Then, the theft monitoring device 10a extracts error data from the detected current value remaining after removing missing data, and removes the extracted error data.
(Step S100)
Extraction unit 110 acquires a detected current value of a current flowing through distribution line DST. The extraction unit 110 outputs the acquired detected current value to the error data removal unit 111.
(Step S110)
The error data removal unit 111 acquires the detected current value output by the extraction unit 110. The error data removing 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 value from which the missing data is removed.

(Step S130)
The error data removing unit 111 calculates a standard deviation σ1 _(t) for each of the remaining detected current values based on the calculated average value.
(Step S140)
The error data removing unit 111 determines whether or not the value obtained by subtracting 2σ1 _(t) from the average value of the detected current values based on the calculated standard deviation is less than the remaining detected current value. For each of these. With this configuration, the error data removal unit 111 determines whether or not the detected current value is error data.
(Step S150)
If the error data removing unit 111 determines that the detected current value is error data, the error data removing unit 111 removes the detected current value. After the detected current value is removed, the process proceeds to step S170.
(Step S160)
If it is determined that the error data is not error data, the error data removal unit 111 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 removing unit 111 determines that the average value of the detected current values for each measurement time is not calculated for all measurement times, the error data removal unit 111 increases the measurement time t. Thereafter, the process proceeds to step S120.
(Step S190)
If the error data removing unit 111 determines that the average value of the detected current value for each measurement time is calculated for all measurement times, the error data removing unit 111 calculates the average value of the detected current value 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 theft monitoring apparatus according to the second embodiment. In the example shown in FIG. 12, the theft monitoring device 10a acquires the measured current value measured by each of the watt-hour meter 50-1 to the watt-hour meter 50-m, and missing data is obtained from the acquired plurality of measured current values. Extract and remove the extracted missing data. Then, the theft monitoring apparatus 10a extracts error data from the actually measured current value remaining after removing the missing data, and removes the extracted error data.
(Step S200)
The extraction unit 112 acquires the measured current value measured by each of the watt-hour meters 50-1 to 50-m. The extraction unit 112 outputs the acquired actual measurement current value to the error data removal unit 113.
(Step S210)
The error data removal unit 113 acquires the detected current value output by the extraction unit 112. The error data removal unit 113 extracts missing data (null) from each of the acquired plurality of actually measured current values, and removes the extracted missing data.
(Step S220)
The error data removal unit 113 calculates an average value for each measurement time based on the remaining measured current value from which the missing data is removed.

(Step S230)
The error data removal unit 113 calculates a standard deviation σ2 _(t) for each of the remaining actually measured current values based on the calculated average value.
(Step S240)
The error data removing unit 113 determines whether the value obtained by subtracting 2σ2 _(t) from the average value of the actually measured current values is less than the remaining actually measured current value based on the calculated standard deviation. For each of these. By configuring in this way, the error data removing unit 113 determines whether or not the actually measured current value is error data.
(Step S250)
When the error data removing unit 113 determines that the measured current value is error data, the error data removing unit 113 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 obtained by removing the measured current values determined to be error data.

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

In the second embodiment described above, the case where the theft monitoring apparatus 10a derives the correlation coefficient between the load current characteristic for one month and the past load current characteristic is described, but the present invention is not limited to this example. For example, the correlation coefficient between the daily load current characteristic and the past load current characteristic may be derived, or the correlation coefficient between the one week load current characteristic and the past load current characteristic may be derived. You may make it do.
In the second embodiment described above, the case where the current detection unit 40 installed at the power feeding point is different from the watt-hour meter 50 installed at the consumer is described, but the present invention is not limited to this example. For example, the current detection unit 40 may be installed in a consumer, and it may be determined whether there is power theft based on a detection current detected by the current detection unit 40 installed in the consumer.
In the second embodiment described above, the case where the theft monitoring apparatus 10a determines whether there is a theft and determines the source of theft, but the present invention is not limited to this example. For example, the theft monitoring device 10a may be configured by a device that determines whether there is a theft and a device that determines the source of theft.
In the second embodiment described above, the theft monitoring apparatus 10a acquires the detected current value measured by each of the current detectors 40-n from the current detector 40-1, and missing data from the acquired plurality of detected current values. In this example, the extracted missing data is removed, the missing data is removed, the error data is extracted from the remaining detected current value, and the extracted error data is removed. Further, the theft monitoring device 10a acquires the actual current value measured by each of the watt-hour meter 50-1 to the watt-hour meter 50-m, extracts missing data from the acquired plurality of actual current values, and extracts the missing The case has been described in which data is removed, error data is extracted from the measured current value remaining after removing missing data, and the extracted error data is removed. However, it is not limited to these examples. For example, either one may be performed.

In addition to the effects obtained by the theft monitoring apparatus 10 according to the first embodiment, the theft monitoring apparatus 10a according to the second embodiment described above has the following effects.
The theft monitoring apparatus 10a acquires the detected current value measured by each of the current detection units 40-n from the current detection unit 40-1, extracts the missing data from the acquired plurality of detected current values, and extracts the extracted missing data. The error data is extracted from the detected current value remaining after removing the missing data, and the extracted error data is removed.
By configuring in this way, even if a communication error occurs due to the lack of infrastructure such as communication facilities, the current detection unit 40-1 installed at a power supply point such as a transformer is used as a current detection unit. Even if any of the detected current values measured by each of 40-n cannot be acquired, the missing data can be extracted and the extracted missing data can be removed. Furthermore, even if any of the detected current values measured by each of 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. For this reason, since the detection current value required for performing the determination of theft of electric power can be secured, it is possible to improve the determination accuracy of the presence or absence of theft.
Also, if a power failure occurs, it is not possible to acquire any of the detected current values measured by each of the current detection units 40-n from the current detection unit 40-1 installed at a power supply point such as a transformer. Even if it exists, the missing data can be extracted and the extracted missing data can be removed. Furthermore, even if any of the detected current values measured by each of 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. For this reason, since the detection current value required for performing the determination of theft of electric power can be secured, it is possible to improve the determination accuracy of the presence or absence of theft.

In addition, the theft monitoring device 10a acquires the measured current value measured by each of the watt-hour meter 50-1 to the watt-hour meter 50-m, extracts missing data from the acquired plurality of measured current values, and extracts the missing Data is removed, error data is extracted from the measured current value remaining after removing missing data, 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 facilities, the amount of power from the watt-hour meter 50-1 such as a smart meter installed for each consumer. Even if any of the measured current values measured by each of the total 50-m cannot be acquired, the missing data can be extracted and the extracted missing data can be removed. Furthermore, even if any of the actually measured current values measured by the watt-hour meters 50-1 to 50-m is error data, the error data can be extracted and the extracted error data can be removed. For this reason, since the detection current value required for performing the determination of theft of electric power can be secured, it is possible to improve the determination accuracy of the presence or absence of theft.
Also, if a power failure occurs, if any of the measured current values measured by each of the watt-hour meters 50-1 to 50-m such as a smart meter installed for each consumer cannot be obtained Even so, it is possible to extract missing data and remove the extracted missing data. Furthermore, even if any of the actually measured current values measured by the watt-hour meters 50-1 to 50-m is error data, the error data can be extracted and the extracted error data can be removed. For this reason, since the actual measurement current value required for performing the determination of theft of electric power can be secured, the determination accuracy of the presence or absence of theft of electric power can be improved.

As mentioned above, although embodiment was described, these embodiment is shown as an example and is not intending limiting the range of 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 invention described in the claims and the equivalents thereof.
The above-described theft monitoring device 10 and the theft monitoring device 10a may be realized by a computer. In that case, a program for realizing the function of each functional block is recorded on a computer-readable recording medium. The program recorded on the recording medium may be read by a computer system and executed by the CPU. Here, the “computer system” includes hardware such as an OS (Operating System) and peripheral devices.
The “computer-readable recording medium” refers to a portable medium such as a flexible disk, a magneto-optical disk, a ROM, and a CD-ROM. The “computer-readable recording medium” includes a storage device such as a hard disk built in the computer system.
Furthermore, the “computer-readable recording medium” may include a medium that dynamically holds a program for a short time. What holds the program dynamically for a short time is, for example, a communication line when the program is transmitted via a network such as the Internet or a communication line such as a telephone line.

In addition, the “computer-readable recording medium” may include a medium that holds a program for a certain period of time, such as a volatile memory inside a computer system that serves as a server or a client. The program may be for realizing a part of the functions described above. Further, the program may be a program that can realize the above-described functions in combination with a program already recorded in the computer system.
The above-described theft monitoring apparatus has a computer inside. Each process of the above-described theft monitoring apparatus is stored in a computer-readable recording medium in the form of a program, and the above process is performed by the computer reading and executing this program.
Here, the computer-readable recording medium means a magnetic disk, a magneto-optical disk, a CD-ROM, a DVD-ROM, a semiconductor memory, or the like. Alternatively, the computer program may be distributed to the computer via a communication line, and the computer that has received the distribution may execute the program.
The program may be for realizing a part of the functions described above.
Furthermore, what can implement | achieve the function mentioned above in combination with the program already recorded on the computer system, what is called a difference file (difference program) may be sufficient.

  DESCRIPTION OF SYMBOLS 1 ... Power distribution system, 10 ... Stealth monitoring apparatus, 20 ... Facility information storage part, 30 ... Contract information storage part, 40, 40-1, 40-2, ..., 40-n ... Current detection part, 50, 50 -1, 50-2,..., 50-n ... watt hour meter, 101 ... predicted current calculation unit, 102, 102a ... detection current acquisition unit, 103 ... stealth 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 ... stealing 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 power distribution system that supplies power to one or more consumers by a distribution line drawn from a distribution substation,
A load current characteristic calculation unit for calculating a load current characteristic of one or a plurality of consumers;
A load current characteristic storage unit for storing a calculation result of the load current characteristic;
The calculation result of the load current characteristic stored in the load current characteristic storage unit and the load current characteristic calculation unit calculated when there is a stealing current that is an unsigned current among the load currents flowing through the distribution line A correlation coefficient calculation unit that calculates a correlation coefficient with the load current characteristic for each of the one or more consumers,
A correlation coefficient determination unit that determines whether or not the correlation coefficient calculated by the correlation coefficient calculation unit is greater than or equal to a threshold;
Based on the determination result of the correlation coefficient determination unit, comprising a theft generation source determination unit that determines the cause of the generation of the theft electric current,
Stealth monitoring system. Either or both of the predicted value of the load current calculated based on the contract capacity indicated by the power supply contract and the current value measured by the watt-hour meter, and the value at which the load current flowing through the distribution line is detected Based on a power theft determination unit that determines whether there is a power theft current that is uncontracted among the load current flowing through the distribution line,
The correlation coefficient determination unit determines the load current characteristic calculation result stored in the load current characteristic storage unit and the load current characteristic calculation unit when the theft power determination unit determines that there is the stealing current. The theft monitoring system according to claim 1, wherein a correlation coefficient with the load current characteristic calculated by is calculated for each of one or a plurality of the consumers. Either or both of missing data and error data are extracted from the current value measured by a watt-hour meter, and either or both of the extracted missing data and error data are removed from the current value Error data removal unit
The power theft determination unit, the error data removal unit is unsigned out of the load current flowing through the distribution line based on the current value from which either or both of the missing data and the error data are removed The theft monitoring system according to claim 2, wherein it is determined whether or not there is a theft electric current that is a current. Load current for determining whether or not the load current of the load current characteristic calculated by the load current characteristic calculation unit increases when the correlation coefficient determination unit determines that the correlation coefficient is less than a threshold value It has a characteristic judgment unit,
The theft detection system according to any one of claims 1 to 3, wherein the theft power generation source determination unit determines a cause of the generation of the theft current based on a determination result of the load current characteristic determination unit.   In the case where the determination result of the load current characteristic determination unit indicates that the load current of the load current characteristic is decreased, the theft power generation source determination unit is connected to the service line connecting the distribution line and the contracted consumer. The power theft monitoring system according to claim 4, wherein the non-contracted consumer is determined to be connected.   If the determination result of the load current characteristic determination unit indicates that the load current of the load current characteristic increases, the theft power generation source determination unit is connected to the service line connecting the distribution line and the contracted consumer. The theft monitoring system according to claim 4, wherein it is determined that the contracted consumer other than the contracted consumer is connected.   When the correlation coefficient determination unit determines that the correlation coefficient is greater than or equal to a threshold value, the non-contracted current flows from the distribution line to the non-contracted consumer. The theft monitoring system according to any one of claims 1 to 4, wherein it is determined that the power is lost. A power theft monitoring device that monitors a power distribution system that supplies power to one or more consumers by a distribution line drawn from a distribution substation,
A load current characteristic calculation unit for calculating a load current characteristic of one or a plurality of consumers;
A load current characteristic storage unit for storing a calculation result of the load current characteristic;
The calculation result of the load current characteristic stored in the load current characteristic storage unit and the load current characteristic calculation unit calculated when there is a stealing current that is an unsigned current among the load currents flowing through the distribution line A correlation coefficient calculation unit that calculates a correlation coefficient with the load current characteristic for each of the one or more consumers,
A correlation coefficient determination unit that determines whether or not the correlation coefficient calculated by the correlation coefficient calculation unit is greater than or equal to a threshold;
Based on the determination result of the correlation coefficient determination unit, comprising a theft generation source determination unit that determines the cause of the generation of the theft electric current,
Theft monitoring device. A monitoring method executed by a monitoring system that monitors a power distribution system that supplies power to one or a plurality of consumers by a distribution line drawn from a distribution substation,
Calculating a load current characteristic of one or more of the consumers;
Storing the calculation result of the load current characteristic;
The calculation result of the load current characteristic stored in the storing step and the load current characteristic calculated in the calculating step when there is a stealing current that is an unsigned current among the load currents flowing through the distribution line Calculating a correlation coefficient with each of the one or more of the consumers;
Determining whether the correlation coefficient is greater than or equal to a threshold;
Determining the cause of occurrence of the theft electric current based on a determination result of whether or not the correlation coefficient is equal to or greater than a threshold value,
Theft monitoring method. To a computer of a monitoring system that monitors a distribution system that supplies power to one or more consumers by a distribution line drawn from a distribution substation,
Calculating a load current characteristic of one or more of the consumers;
Storing the calculation result of the load current characteristic;
The calculation result of the load current characteristic stored in the storing step and the load current characteristic calculated in the calculating step when there is a stealing current that is an unsigned current among the load currents flowing through the distribution line Calculating a correlation coefficient with each of the one or more of the consumers;
Determining whether the correlation coefficient is greater than or equal to a threshold;
Based on a determination result of whether or not the correlation coefficient is greater than or equal to a threshold value, the step of determining the cause of occurrence of the theft electric current,
program.

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