CN109461096A - A kind of family change relationship anomalous discrimination method based on electricity relevance - Google Patents

A kind of family change relationship anomalous discrimination method based on electricity relevance Download PDF

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CN109461096A
CN109461096A CN201811309806.3A CN201811309806A CN109461096A CN 109461096 A CN109461096 A CN 109461096A CN 201811309806 A CN201811309806 A CN 201811309806A CN 109461096 A CN109461096 A CN 109461096A
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user
area
adjacent stations
family
incidence coefficient
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廖永锋
邵航建
兰金山
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Hangzhou Zhicheng Electronic Technology Co Ltd
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Hangzhou Zhicheng Electronic Technology Co Ltd
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Abstract

Present invention mainly discloses a kind of, and the family based on electricity relevance becomes relationship anomalous discrimination method, comprising the following steps: 1) power supply unit configures adjacent stations area N, forms n adjacent stations district's groups and closes: 2) analyzing k-th of adjacent stations district's groups and close Nk, share platform area m { T1,T2,...,Tm, user z family { U1,U2,...,Uz}；3) user U is calculatediWith each area TjIncidence coefficient Cij；4) user U is foundiThe affiliated platform area T of archivesuIncidence coefficient CiuIf Ciu<‑Ccr, execute step 5；Otherwise user U is exportediFor normal users, step 6 is executed；5) user U is foundiMaximum incidence coefficient CivIf Civ>Ccr, export user UiBecome suspicion user for family, suspicion platform area is Tv, execute step 6；Otherwise user U is exportediFor normal users, step 6 is executed；6) each user in this group of adjacent stations area is traversed；If having traversed all users in this group of adjacent stations area, each group of adjacent stations area is traversed, if having traversed all adjacent stations areas, is completed.The present invention has the characteristics of saving time and fund cost, improving input-output ratio.

Description

A kind of family change relationship anomalous discrimination method based on electricity relevance
Technical field
The present invention relates to power information acquisition technique field, it is abnormal that especially a kind of family based on electricity relevance becomes relationship Method of discrimination.
Background technique
With the fast development of power grid, administration of power networks is changed into lean from original rough formula.In recent years due to city The problem of fast development and history administration of power networks are left, there are still need improvements for power distribution network management.Wherein, family, which becomes, closes System is affected to power distribution network management, influences to include that power off notifying is a large amount of to family, platform area same period line loss, equipment management, industry expansion etc. Sales service.Family becomes the belonging relation that relationship refers to Electricity customers and distribution transformer.The recognition methods of family change relationship mistake Predominantly artificial scene differentiates or installs hardware additional by batch and differentiate, is both needed to devote a tremendous amount of time and fund cost.In electric power In system, platform area refers to the supply district or region of (one) transformer.In the operating management of low-voltage electricity user, platform Qu Lian Huge numbers of families, platform area be respectively to be supplied belonging to Utilities Electric Co. as the important division of power consumption management department fine-grained management low-voltage customer Platform area way to manage is mostly carried out in electric business office's marketing management.Currently, each power supply enterprise, which has been carried out, repeatedly concentrates artificial row Work is looked into, family becomes relationship accuracy and has reached higher level.In view of remaining family change relationship abnormal user quantity is relatively few And electricity consumption behavior is more covert, reuses artificial or is checked by additional equipment, need to devote a tremendous amount of time and fund cost, Input-output ratio is extremely low.
Summary of the invention
In view of the deficienciess of the prior art, the present invention provides a kind of family change relationship anomalous discrimination based on electricity relevance Method saves time and fund cost, improves input-output ratio.
In order to achieve the above object, the present invention is achieved through the following technical solutions: a kind of family based on electricity relevance Change relationship anomalous discrimination method, comprising the following steps:
1) power supply unit configures adjacent stations area as needed, forms n adjacent stations district's groups and closes: { N1,N2,...,Nn, it gives Minimum positive association degree Ccr, and define and be greater than CcrFor strong positive association, it is less than-CcrFor strong negative customers；
2) it analyzes k-th of adjacent stations district's groups and closes Nk, NkShared platform area m { T1,T2,...,Tm, user z family { U1, U2,...,Uz}；
3) user U is calculatediWith each area TjIncidence coefficient Cij, wherein 1≤i≤z, 1≤j≤m；
4) according to incidence coefficient Cij, find user UiThe affiliated platform area T of archivesuIncidence coefficient CiuIf Ciu<-Ccr, execute Step 5；Otherwise user U is exportediFor normal users, step 6 is executed；
5) traverse user UiWith the incidence coefficient C in all areasij, find maximum incidence coefficient C thereinivIf Civ> Ccr, export user UiBecome suspicion user for family, suspicion platform area is Tv, execute step 6；Otherwise user U is exportediFor normal users, hold Row step 6；
6) in the way of i=i+1, return step 3, until each user in this group of adjacent stations area of traversal；If traversal All users in complete this group of adjacent stations area execute step 7；
7) in the way of k=k+1, return step 2, until each group of adjacent stations area of traversal, if having traversed all adjacent Platform area, thens follow the steps 8；
8) entire step is completed, all families is exported and becomes suspicion user.
The present invention is further arranged to: in the step 3, CijCalculation are as follows: first select Pearson correlation coefficient make For calculation formula, user U is calculatediWith each area TiIncidence coefficient vector C1×k,Wherein XiRefer to user UiI-th day electricity consumption, YiIt refers to I-th area Tian Moutai line loss electricity, N indicate the number of days of selection；Then CjIndicate incidence coefficient vector C1×kJ-th of numerical value, CijTable Show user UiWith platform area TjIncidence coefficient.
The present invention has the beneficial effect that through the configuration of adjacent stations area, platform area line loss data (minimum 1 month), Yong Hu electricity Data, user and platform cell relation data are measured, using data mining algorithm, by the electricity and line loss electricity that calculate Electricity customers Relevance identifies user and platform cell relation in adjacent stations area, finds family and becomes relationship abnormal user；Data suitable for production environment Situation and service logic can export the normal Electricity customers of family variation being affected to line loss, and can be according to abnormality processing result Newest abnormal user is calculated；Algorithm frame is simple simultaneously, and state modulator is less, effectively improves efficiency of algorithm, accelerates to look into Speed is ask, error rate is reduced, saves time and fund cost, improves input-output ratio.
Detailed description of the invention
Fig. 1 is flow chart of the invention.
Specific embodiment
In conjunction with attached drawing, present pre-ferred embodiments are described in further details.
As shown in Figure 1, a kind of family based on electricity relevance becomes relationship anomalous discrimination method, comprising the following steps:
1) power supply unit configures adjacent stations area as needed, forms n adjacent stations district's groups and closes: { N1,N2,...,Nn, it gives Minimum positive association degree Ccr, and define and be greater than CcrFor strong positive association, it is less than-CcrFor strong negative customers；Wherein CcrAccording to field condition by It is artificial specified.
2) it analyzes k-th of adjacent stations district's groups and closes Nk, NkShared platform area m { T1,T2,...,Tm, user z family { U1, U2,...,Uz}；
3) user U is calculatediWith each area TjIncidence coefficient Cij, wherein 1≤i≤z, 1≤j≤m；
CijCalculation are as follows: first select Pearson correlation coefficient as calculation formula, calculate user UiWith each Area TiIncidence coefficient vector C1×k,Wherein XiRefer to user Ui I-th day electricity consumption, YiRefer to that the i-th area Tian Moutai line loss electricity, N indicate the number of days of selection；Then CjIndicate incidence coefficient to Measure C1×kJ-th of numerical value, CijIndicate user UiWith platform area TjIncidence coefficient.
4) according to incidence coefficient Cij, find user UiThe affiliated platform area T of archivesuIncidence coefficient CiuIf Ciu<-Ccr, execute Step 5；Otherwise user U is exportediFor normal users, step 6 is executed；
5) traverse user UiWith the incidence coefficient C in all areasij, find maximum incidence coefficient C thereinivIf Civ> Ccr, export user UiBecome suspicion user for family, suspicion platform area is Tv, execute step 6；Otherwise user U is exportediFor normal users, hold Row step 6；
6) in the way of i=i+1, return step 3, until each user in this group of adjacent stations area of traversal；If traversal All users in complete this group of adjacent stations area execute step 7；
7) in the way of k=k+1, return step 2, until each group of adjacent stations area of traversal, if having traversed all adjacent Platform area, thens follow the steps 8；
8) entire step is completed, all families is exported and becomes suspicion user.
Above-described embodiment is only used for illustrating inventive concept of the invention, rather than the restriction to rights protection of the present invention, It is all to be made a non-material change to the present invention using this design, protection scope of the present invention should all be fallen into.

Claims (2)

1. a kind of family based on electricity relevance becomes relationship anomalous discrimination method, it is characterised in that: the following steps are included:
1) power supply unit configures adjacent stations area as needed, forms n adjacent stations district's groups and closes: { N1,N2,...,Nn, give minimum Positive association degree Ccr, and define and be greater than CcrFor strong positive association, it is less than-CcrFor strong negative customers；
2) it analyzes k-th of adjacent stations district's groups and closes Nk, NkShared platform area m { T1,T2,...,Tm, user z family { U1,U2,...,Uz}；
3) user U is calculatediWith each area TjIncidence coefficient Cij, wherein 1≤i≤z, 1≤j≤m；
4) according to incidence coefficient Cij, find user UiThe affiliated platform area T of archivesuIncidence coefficient CiuIf Ciu<-Ccr, execute step 5； Otherwise user U is exportediFor normal users, step 6 is executed；
5) traverse user UiWith the incidence coefficient C in all areasij, find maximum incidence coefficient C thereinivIf Civ>Ccr, defeated User U outiBecome suspicion user for family, suspicion platform area is Tv, execute step 6；Otherwise user U is exportediFor normal users, step is executed Rapid 6；
6) in the way of i=i+1, return step 3, until each user in this group of adjacent stations area of traversal；If having traversed this All users in group adjacent stations area, execute step 7；
7) in the way of k=k+1, return step 2, until each group of adjacent stations area of traversal, if having traversed all adjacent stations areas, Then follow the steps 8；
8) entire step is completed, all families is exported and becomes suspicion user.
2. a kind of family based on electricity relevance according to claim 1 becomes relationship anomalous discrimination method, it is characterised in that: In the step 3, CijCalculation are as follows: first select Pearson correlation coefficient as calculation formula, calculate user UiWith it is every The area Ge Tai TiIncidence coefficient vector C1×k,Wherein XiIt refers to using Family UiI-th day electricity consumption, YiRefer to that the i-th area Tian Moutai line loss electricity, N indicate the number of days of selection；Then CjIndicate association system Number vector C1×kJ-th of numerical value, CijIndicate user UiWith platform area TjIncidence coefficient.
CN201811309806.3A 2018-11-05 2018-11-05 A kind of family change relationship anomalous discrimination method based on electricity relevance Pending CN109461096A (en)

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Cited By (8)

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Publication number Priority date Publication date Assignee Title
CN110084718A (en) * 2019-04-25 2019-08-02 国网湖南省电力有限公司 A kind of family Tai Qu becomes the accurate method of calibration of relationship and device
CN110231528A (en) * 2019-06-17 2019-09-13 国网重庆市电力公司电力科学研究院 Transformer family based on load characteristic model library becomes anomalous identification method and device
CN110276511A (en) * 2019-04-16 2019-09-24 国网浙江海盐县供电有限公司 A kind of line change relationship anomalous discrimination method based on electricity and line loss relevance
CN110311709A (en) * 2019-06-10 2019-10-08 国网浙江省电力有限公司嘉兴供电公司 Power information acquisition system fault distinguishing method
CN111191915A (en) * 2019-12-27 2020-05-22 国网浙江海盐县供电有限公司 10kV dual-power subscriber line transformation relation analysis method based on power distribution network operation data
CN113033897A (en) * 2021-03-26 2021-06-25 国网上海市电力公司 Method for identifying station area subscriber variation relation based on electric quantity correlation of subscriber branch
CN113253014A (en) * 2021-04-07 2021-08-13 国网河北省电力有限公司衡水供电分公司 Method, device and equipment for detecting abnormal topological relation of transformer area subscriber
WO2022110557A1 (en) * 2020-11-25 2022-06-02 国网湖南省电力有限公司 Method and device for diagnosing user-transformer relationship anomaly in transformer area

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CN104092481A (en) * 2014-07-17 2014-10-08 江苏林洋电子股份有限公司 Method for distinguishing power distribution area and phase through voltage characteristics
CN207895677U (en) * 2018-01-29 2018-09-21 杭州华春科技有限公司 User attaching relationship automatic recognition system
CN108614138A (en) * 2018-04-03 2018-10-02 广东电网有限责任公司 Data benefit based on metering device itself copies mechanism

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CN103744047A (en) * 2013-12-23 2014-04-23 国家电网公司 Method for locating out-of-tolerance electric-energy meters in operation
CN104092481A (en) * 2014-07-17 2014-10-08 江苏林洋电子股份有限公司 Method for distinguishing power distribution area and phase through voltage characteristics
CN207895677U (en) * 2018-01-29 2018-09-21 杭州华春科技有限公司 User attaching relationship automatic recognition system
CN108614138A (en) * 2018-04-03 2018-10-02 广东电网有限责任公司 Data benefit based on metering device itself copies mechanism

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110276511A (en) * 2019-04-16 2019-09-24 国网浙江海盐县供电有限公司 A kind of line change relationship anomalous discrimination method based on electricity and line loss relevance
CN110084718A (en) * 2019-04-25 2019-08-02 国网湖南省电力有限公司 A kind of family Tai Qu becomes the accurate method of calibration of relationship and device
CN110084718B (en) * 2019-04-25 2023-08-22 国网湖南省电力有限公司 Method and device for accurately checking household transformer relation of transformer area
CN110311709A (en) * 2019-06-10 2019-10-08 国网浙江省电力有限公司嘉兴供电公司 Power information acquisition system fault distinguishing method
CN110231528A (en) * 2019-06-17 2019-09-13 国网重庆市电力公司电力科学研究院 Transformer family based on load characteristic model library becomes anomalous identification method and device
CN111191915A (en) * 2019-12-27 2020-05-22 国网浙江海盐县供电有限公司 10kV dual-power subscriber line transformation relation analysis method based on power distribution network operation data
CN111191915B (en) * 2019-12-27 2023-05-30 国网浙江海盐县供电有限公司 10kV dual-power-supply user line transformation relation analysis method based on power distribution network operation data
WO2022110557A1 (en) * 2020-11-25 2022-06-02 国网湖南省电力有限公司 Method and device for diagnosing user-transformer relationship anomaly in transformer area
CN113033897A (en) * 2021-03-26 2021-06-25 国网上海市电力公司 Method for identifying station area subscriber variation relation based on electric quantity correlation of subscriber branch
CN113033897B (en) * 2021-03-26 2024-08-02 国网上海市电力公司 Method for identifying user change relation of platform region based on electric quantity correlation of user branches
CN113253014A (en) * 2021-04-07 2021-08-13 国网河北省电力有限公司衡水供电分公司 Method, device and equipment for detecting abnormal topological relation of transformer area subscriber
CN113253014B (en) * 2021-04-07 2022-08-23 国网河北省电力有限公司衡水供电分公司 Method, device and equipment for detecting abnormal topological relation of transformer area subscriber

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Application publication date: 20190312