CN109270372A - A kind of stealing identifying system and method based on line loss and user power consumption variation relation - Google Patents
A kind of stealing identifying system and method based on line loss and user power consumption variation relation Download PDFInfo
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Abstract
The present invention discloses a kind of stealing identifying system and method based on line loss and user power consumption variation relation, and system includes: that platform area electric power data obtains module, collects the electric power data in all areas；Screening module is analyzed in conjunction with the electric power data that described area's electric power data obtains module, to screen and orient the potential area that line loss exceeds normal value；Custom power data acquisition module collects the electric power data of all users；Electricity consumption unusual fluctuation monitoring modular according to the electric power data of all users, and is analyzed with the variation of the electricity consumption in different time periods of a user, and is filtered out electricity consumption and changed big potential user；Processing module, the screening module is screened to and is oriented the platform area that line loss per unit exceeds normal value, and the electricity consumption unusual fluctuation monitoring modular filters out the potential customers that electricity consumption changes greatly and integrates, for differentiating the whether doubtful stealing user of potential user, the present invention can quickly identify doubtful stealing user, provide foundation for power utility check work.
Description
Technical field
The invention belongs to field of data recognition, are related to a kind of stealing identification based on line loss and user power consumption variation relation
System and method improves the working efficiency of power utility check on the basis of making full use of available data.
Background technique
With power customer quantity rapid growth, stealing electricity phenomenon is also got worse, and stealing not only compromises power supply company
Economic interests, while also hidden danger is brought to Electrical Safety.Electricity filching means develop to equipment by original plain mode at present
Intelligent, means specialization, the high-tech stealing of behavior hiddenization, implement scale, conventional inspecting method are difficult to obtain evidence.
Summary of the invention
In order to solve the problems, such as that stealing electricity phenomenon is got worse, the present invention is analyzed and processed using the data of statistics, it is intended to
A kind of stealing identifying system and method based on line loss and user power consumption variation relation is provided, can quickly identify that doubtful stealing is used
Family provides foundation for power utility check work.
A kind of stealing identifying system based on line loss and user power consumption variation relation, comprising:
Platform area electric power data obtains module, and described area's electric power data obtains all areas in module collection affiliated area
Electric power data；
Screening module, the screening module are analyzed in conjunction with the electric power data that described area's electric power data obtains module,
To screen and orient the potential area that line loss exceeds normal value；
Custom power data acquisition module, the custom power data acquisition module collect all users in all areas
Electric power data；
Electricity consumption unusual fluctuation monitoring modular, the electricity consumption unusual fluctuation monitoring modular according to the electric power data of all users, and point
It is precipitated with the variation of the electricity consumption in different time periods of a user, and filters out electricity consumption and change big potential user；
The platform that line loss per unit exceeds normal value is screened and oriented to the screening module by processing module, the processing module
Area and the electricity consumption unusual fluctuation monitoring modular filter out the potential customers that electricity consumption changes greatly and integrate, if the electricity consumption
Amount changes big potential user and is located at the line loss beyond in potential area of normal value, then is classified as the potential user doubtful
Stealing user.
In a preferred embodiment of the invention, one area is correspondingly arranged at least one custom power data and obtains
Modulus block or/and electricity consumption unusual fluctuation monitoring modular.
In a preferred embodiment of the invention, the parameter of the line loss per unit is by acquiring and obtaining in described area
Day degree line loss XSdOr/and monthly line loss XSmIf day degree line loss XSdOr/or/and monthly line loss XSmLine loss parameter be more than just
Constant value then assert that described area is potential area.
In a preferred embodiment of the invention, the normal value is 8-10%.
In a preferred embodiment of the invention, described area day degree line loss XSd,
Wherein, GDLdFor the d days power supply volumes in platform area, YDLdFor the sum of the electricity consumption of the d days all users in platform area,
KWHdiFor the electricity consumption of i-th of user of d day, n is number of users.
In a preferred embodiment of the invention, the monthly line loss XS in described aream,
Wherein, GDLmFor the power supply volume of the platform area m month, YDLmFor the sum of the electricity consumption of the platform area m month all users,
Ds is of that month number of days.
In a preferred embodiment of the invention, the potential user acquisition the following steps are included:
(1) user power utilization potentiality C is calculated
The maximum k electricity consumption in family is taken, and calculates median:
Ci=Median (Topk (KWHi)) wherein: CiFor the electricity consumption potentiality of user i, KWHiFor the electricity consumption sequence of user i
Column, KWHi=[kwhi1, kwhi2... kwhit]TTopk is to take maximum k value, and Median is median function；
(2) accounting P of the user power utilization potentiality in platform area is calculated
PiFor accounting of i-th of user power utilization potentiality in all users in platform area, n is platform area number of users；
(3) theoretical value of user power utilization potentiality accounting in platform area is calculated
(4) the big potential user of screening electricity consumption potentiality, if PiIt is greater thanThen the electricity consumption potentiality of user i are big:
USER is the big user's set of electricity consumption potentiality.
In a preferred embodiment of the invention, further, described that the potential user is classified as doubtful stealing use
Family specifically includes the following steps:
(1) two date D are choseni、Dj, calculate user power consumption variation
KWH_DIFFI, j=KWHi-KWHj
(2) variation of platform area power supply volume is calculated
GDL_DIFFI, j=GDLi-GDLj
(3) variation of platform area electricity consumption is calculated
YDL_DIFFI, j=YDLi-YDLj
(4) user's unusual fluctuation suspicion degree is calculated.
PI, j, kIt is user k in date Di、DjThe suspicion degree of unusual fluctuation, KWH_DIFF occursI, j, kIt is user k in date Di、Dj's
Electricity consumption variation；
(5) user's unusual fluctuation suspicion degree being calculated to merge, all there may be unusual fluctuations on the different dates by the same user, therefore,
Merged using multiple unusual fluctuation suspicion degree of the median to same user:
Pk=Median (PI, j, k)
PkThe as unusual fluctuation suspicion degree of user, according to PkUser is ranked up, PkMore large user's stealing a possibility that more
Greatly.
A kind of stealing recognition methods based on line loss and user power consumption variation relation, comprising the following steps:
Step 1: obtaining the electric power data for belonging to all areas in region；
Step 2: according to the parameter for the line loss per unit for corresponding to platform area in day degree line loss or/and monthly line loss calculation step 1, institute
The parameter for stating line loss per unit has been more than normal value, then assert that described area is potential area；
Step 3: selecting all users in potential area in step 2, and the respective electricity consumption potentiality of all users are calculated,
And the big potential user of electricity consumption potentiality is filtered out according to electricity consumption potentiality numerical value；
Step 4: in obtaining step three potential user user's unusual fluctuation suspicion degree, according to the data of user's unusual fluctuation suspicion degree
Decide whether for the potential user to be classified as doubtful stealing user.
By above technical scheme, the technical effects of the invention are that:
The present invention pays close attention to platform area according to the selection of platform area line loss situation, is then selected by electricity consumption potentiality user
It selects, changes the doubtful stealing user of relation recognition finally by platform area line loss and user power consumption, can quickly identify that doubtful stealing is used
Family provides foundation for power utility check work.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is platform area quantity and line loss per unit distribution relation figure of the invention.
Specific embodiment
In order to be easy to understand the technical means, the creative features, the aims and the efficiencies achieved by the present invention, tie below
Conjunction is specifically illustrating, and the present invention is further explained.
A kind of stealing identifying system based on line loss and user power consumption variation relation, comprising:
Platform area electric power data obtains module, and described area's electric power data obtains all areas in module collection affiliated area
Electric power data；Platform area refers to the supply district or region of (one) transformer；
Screening module, the screening module are analyzed in conjunction with the electric power data that described area's electric power data obtains module,
To screen and orient the potential area that line loss per unit exceeds normal value；
Custom power data acquisition module, the custom power data acquisition module collect all users in all areas
Electric power data；
Electricity consumption unusual fluctuation monitoring modular, the electricity consumption unusual fluctuation monitoring modular according to the electric power data of all users, and point
It is precipitated with the variation of the electricity consumption in different time periods of a user, and filters out electricity consumption and change big potential user；
The platform area that line loss exceeds normal value is screened and oriented to the screening module by processing module, the processing module,
And the electricity consumption unusual fluctuation monitoring modular filters out the potential customers that electricity consumption changes greatly and integrates, if the electricity consumption quantitative change
Change big potential user and be located at the line loss beyond in potential area of normal value, then the potential user is classified as doubtful stealing
User.
Wherein above-mentioned related data are acquired from existing intelligent electric meter, therefore do not relate to hardware investment, and cost is relatively low；According to
According to the common cooperation of multiple modules, doubtful stealing user can be quickly identified, provide foundation for power utility check work.
Further, in actual use, the parameter of the line loss per unit is by acquiring and obtaining in described area
Day degree line loss XSdOr/and monthly line loss XSmIf day degree line loss XSdOr/or/and monthly line loss XSmLine loss parameter be more than just
Constant value then assert that described area is potential area, and the normal value is 8-10%, and the acquisition of the parameter passes through mass data, with
And the line loss in platform area is analyzed where to the stealing family having found.
A kind of stealing recognition methods based on line loss and user power consumption variation relation, comprising the following steps:
Step 1: obtaining the electric power data for belonging to all areas in region；
Step 2: according to the parameter for the line loss per unit for corresponding to platform area in day degree line loss or/and monthly line loss calculation step 1, institute
The parameter for stating line loss per unit has been more than normal value, then assert that described area is potential area；
Step 3: selecting all users in potential area in step 2, and the respective electricity consumption potentiality of all users are calculated,
And the big potential user of electricity consumption potentiality is filtered out according to electricity consumption potentiality numerical value；
Step 4: in obtaining step three potential user user's unusual fluctuation suspicion degree, according to the data of user's unusual fluctuation suspicion degree
Decide whether for the potential user to be classified as doubtful stealing user.
Embodiment 1:
1, platform area selects
The characteristics of selection of platform area is to filter out to pay close attention to platform area from a large amount of platform areas, these areas is that line loss is larger, deposits
It is high the stealing user a possibility that.
It uses and is identified with drag counterweight point concern platform area:
(1) platform area day degree line loss XS is calculatedd。
Wherein, GDLdFor the d days power supply volumes in platform area, YDLdFor the sum of the electricity consumption of the d days all users in platform area,
KWHdiFor the electricity consumption of i-th of user of d day, n is number of users.
(2) the monthly line loss XS in platform area is calculatedm。
Wherein, GDLmFor the power supply volume of the platform area m month, YDLmFor the sum of the electricity consumption of the platform area m month all users,
Ds is of that month number of days.GDLiAnd KWHij
(3) area line loss Gao Tai is filtered out.
It is analyzed by the line loss to platform area where the stealing family having found, it is found that these area's line losses are relatively high,
Wherein 90% platform area line loss per unit has been more than 0.1 to platform area quantity as shown in Figure 1: with line loss per unit distribution relation, therefore defines line loss
It is high line loss that rate, which is more than 0.1,.Screen nearly three middle of the month month line loss, day line loss be more than 0.1 platform area.
The area line loss great Tai is filtered out, screens the platform area that nearly three middle of the month month line loss is more than 10%, day line loss is more than 10%
Number of days be greater than 15 areas Tian Tai.
2, user selects
User's selection is that the user paid close attention to is filtered out from a large number of users, the characteristics of these users be electricity consumption potentiality compared with
Greatly, stealing motivation is stronger.By being identified with drag to the user paid close attention in platform area:
(1) user power utilization potentiality C is calculated, takes the maximum k electricity consumption in family, and calculate median.
Ci=Median (Topk (KWHi))
Wherein: CiFor the electricity consumption potentiality of user i, KWHiFor the electricity consumption sequence of user i,
KWHi=[kwhi1, kwhi2... kwhit]T
Topk is to take maximum k value, and Median is median function, and median is the distribution function evidence for making stochastic variable
The number that value is 0.5, it may be assumed that the distribution function of stochastic variable X is F (X), then meeting condition
M be known as the median of X.
(2) accounting P of the user power utilization potentiality in platform area is calculated.
PiFor accounting of i-th of user power utilization potentiality in all users in platform area, n is platform area number of users.
(3) theoretical value of user power utilization potentiality accounting in platform area is calculated
(4) the big user of screening electricity consumption potentiality, if PiIt is greater thanThen the electricity consumption potentiality of user i are big.
USER is the big user's set of electricity consumption potentiality.
3, platform area line loss and electricity consumption unusual fluctuation monitor
(1) two date D are choseni、Dj, calculate user power consumption variation.
KWH_DIFFI, j=KWHi-KWHj
(2) variation of platform area power supply volume is calculated.
GDL_DIFFI, j=GDLi-GDLj
(3) variation of platform area electricity consumption is calculated.
YDL_DIFFI, j=YDLi-YDLj
(4) user's unusual fluctuation suspicion degree is calculated.
PI, j, kIt is user k in date Di、DjThe suspicion degree of unusual fluctuation, KWH_DIFF occursI, j, kIt is user k in date Di、Dj's
Electricity consumption variation.
(5) user's unusual fluctuation suspicion degree being calculated to merge, all there may be unusual fluctuations on the different dates by the same user, therefore,
Merged using multiple unusual fluctuation suspicion degree of the median to same user.
Pk=Median (PI, j, k)
PkThe as unusual fluctuation suspicion degree of user, according to PkUser is ranked up, PkMore large user's stealing a possibility that more
Greatly.
Embodiment 2:
Stealing user identification is carried out by the way that this method of the invention is local to certain power supply station, analytic process is as follows:
(1) platform area selects
By calculating the closely trimestral line loss per unit in the area local 70 Ge Tai, it is threshold value with line loss per unit 0.1, has locked 3 height
The area Sun Tai below further analyzes one of area Gao Suntai.
(2) user selects
There are 70 users under the selected area Gao Suntai, the sum of all user power utilization potentiality are 800, user power utilization potentiality details
It is as shown in the table:
As seen from the table, 1000597,3,085,123 two are the big users of electricity consumption potentiality, below for user 1000597
Further analysis.
By user's unusual fluctuation new probability formula, it is as follows to calculate the daily unusual fluctuation probability of user:
| 1/6 | 1/8 | 1/10 | 1/11 | 1/12 | 1/13 | 1/14 | 1/15 | 1/16 |
| 5.50 | 3.89 | 8.79 | 2.09 | 2.36 | 2.37 | 8.09 | 3.48 | 0.33 |
Median is taken to unusual fluctuation probability again, obtaining user's Suspected Degree is 3.48.
The present invention pays close attention to platform area according to the selection of platform area line loss situation, is then selected by electricity consumption potentiality user
It selects, changes the doubtful stealing user of relation recognition finally by platform area line loss and user power consumption, can quickly identify that doubtful stealing is used
Family provides foundation for power utility check work.
Claims (9)
1. a kind of stealing identifying system based on line loss and user power consumption variation relation characterized by comprising
Platform area electric power data obtains module, and described area's electric power data obtains the electricity in all areas in module collection affiliated area
Force data；
Screening module, the screening module are analyzed in conjunction with the electric power data that described area's electric power data obtains module, with sieve
Select and orient the potential area that line loss exceeds normal value；
Custom power data acquisition module, the custom power data acquisition module collect the electricity of all users in all areas
Force data；
Electricity consumption unusual fluctuation monitoring modular, the electricity consumption unusual fluctuation monitoring modular are analyzed according to the electric power data of all users
Changed with the electricity consumption in different time periods of a user, and filters out electricity consumption and change big potential user；
The platform area that line loss per unit exceeds normal value is screened and oriented to the screening module by processing module, the processing module, with
And the electricity consumption unusual fluctuation monitoring modular filters out the potential customers that electricity consumption changes greatly and integrates, if the electricity consumption changes
Big potential user is located at the line loss beyond in potential area of normal value, then the potential user is classified as doubtful stealing and used
Family.
2. a kind of stealing identifying system based on line loss and user power consumption variation relation according to claim 1, special
Sign is that one area is correspondingly arranged at least one custom power data acquisition module or/and electricity consumption unusual fluctuation monitoring mould
Block.
3. a kind of stealing identifying system based on line loss and user power consumption variation relation according to claim 1, special
Sign is that the parameter of the line loss per unit is by acquiring and obtaining the day degree line loss XS in described areadOr/and monthly line loss XSm,
If day degree line loss XSdOr/or/and monthly line loss XSmLine loss parameter be more than normal value, then assert described area be potential
Area.
4. a kind of stealing identifying system based on line loss and user power consumption variation relation according to claim 3, special
Sign is that the normal value is 8-10%.
5. a kind of stealing identification system based on line loss and user power consumption variation relation described in one of -4 according to claim 1
System, which is characterized in that described area day degree line loss XSd,
Wherein, GDLdFor the d days power supply volumes in platform area, YDLdFor the sum of the electricity consumption of the d days all users in platform area,
KWHdiFor the electricity consumption of i-th of user of d day, n is number of users.
6. a kind of stealing identification system based on line loss and user power consumption variation relation described in one of -4 according to claim 1
System, which is characterized in that the monthly line loss XS in described aream,
Wherein, GDLmFor the power supply volume of the platform area m month, YDLmFor the sum of the electricity consumption of the platform area m month all users,
Ds is of that month number of days.
7. a kind of stealing identification system based on line loss and user power consumption variation relation described in one of -4 according to claim 1
System, which is characterized in that the acquisition of the potential user the following steps are included:
(1) user power utilization potentiality C is calculated
The maximum k electricity consumption in family is taken, and calculates median:
Ci=Median (Topk (KWHi)), in which: CiFor the electricity consumption potentiality of user i, KWHiFor the electricity consumption sequence of user i,
KWHi=[kwhi1, kwhi2... kwhit]T, Topk is to take maximum k value, and Median is median function；
(2) accounting P of the user power utilization potentiality in platform area is calculated
PiFor accounting of i-th of user power utilization potentiality in all users in platform area, n is platform area number of users；
(3) theoretical value of user power utilization potentiality accounting in platform area is calculated
(4) the big potential user of screening electricity consumption potentiality, if PiIt is greater thanThen the electricity consumption potentiality of user i are big:
USER is the big user's set of electricity consumption potentiality.
8. a kind of stealing identifying system based on line loss and user power consumption variation relation according to claim 7, special
Sign is, further, it is described the potential user is classified as doubtful stealing user specifically includes the following steps:
(1) two date D are choseni、Dj, calculate user power consumption variation
KWH_DIFFI, j=KWHi-KWHj
(2) variation of platform area power supply volume is calculated
GDL_DIFFI, j=GDLi-GDLj
(3) variation of platform area electricity consumption is calculated
YDL_DIFFI, j=YDLi-YDLj
(4) user's unusual fluctuation suspicion degree is calculated.
PI, j, kIt is user k in date Di、DjThe suspicion degree of unusual fluctuation, KWH_DIFF occursI, j, kIt is user k in date Di、DjElectricity consumption
Amount variation；
(5) it calculates user's unusual fluctuation suspicion degree to merge, all there may be unusual fluctuations on the different dates by the same user, therefore, use
Median merges multiple unusual fluctuation suspicion degree of same user:
Pk=Median (PI, j, k)
PkThe as unusual fluctuation suspicion degree of user, according to PkUser is ranked up, PkMore a possibility that large user's stealing, is bigger.
9. a kind of stealing recognition methods based on line loss and user power consumption variation relation, which comprises the following steps:
Step 1: obtaining the electric power data for belonging to all areas in region；
Step 2: according to the parameter for the line loss per unit for corresponding to platform area in day degree line loss or/and monthly line loss calculation step 1, the line
The parameter of loss rate has been more than normal value, then assert that described area is potential area；
Step 3: selecting all users in potential area in step 2, and the respective electricity consumption potentiality of all users are calculated, and root
The big potential user of electricity consumption potentiality is filtered out according to electricity consumption potentiality numerical value；
Step 4: in obtaining step three potential user user's unusual fluctuation suspicion degree, according to the data of user's unusual fluctuation suspicion degree determine
Whether the potential user is classified as doubtful stealing user.
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