CN111476485B - Method for supplementing reasonability of electric quantity - Google Patents

Method for supplementing reasonability of electric quantity Download PDF

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CN111476485B
CN111476485B CN202010267389.1A CN202010267389A CN111476485B CN 111476485 B CN111476485 B CN 111476485B CN 202010267389 A CN202010267389 A CN 202010267389A CN 111476485 B CN111476485 B CN 111476485B
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electricity
stealing
electricity stealing
analysis
electric quantity
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CN111476485A (en
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马迅
谢智
刘晨
张银昌
叶坤荣
黄勇凯
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Electric Power Research Institute of State Grid Hebei Electric Power Co Ltd
Electric Power Research Institute of State Grid Sichuan Electric Power Co Ltd
Electric Power Research Institute of State Grid Xinjiang Electric Power Co Ltd
Great Power Science and Technology Co of State Grid Information and Telecommunication Co Ltd
Original Assignee
Electric Power Research Institute of State Grid Hebei Electric Power Co Ltd
Electric Power Research Institute of State Grid Sichuan Electric Power Co Ltd
Electric Power Research Institute of State Grid Xinjiang Electric Power Co Ltd
Great Power Science and Technology Co of State Grid Information and Telecommunication Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201Market modelling; Market analysis; Collecting market data
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply

Abstract

The invention discloses a method for supplementing electric quantity rationality, which is based on accurately positioning electricity stealing users, identifies electricity stealing time and electricity stealing quantity basis through the prior analysis of field inspection by using an electricity stealing user list output by an electricity stealing prevention intelligent early warning model, and finely calculates the supplemented electric quantity; quantifying the chasing deviation through post analysis, and unifying the chasing standard; the reasonable and compliance of the follow-up payment is checked through post management and control, the follow-up payment effect is evaluated, and the fine calculation of the electricity stealing follow-up electric quantity and the automatic evaluation of the follow-up effect are realized; by the method, the electricity stealing amount is automatically calculated by the electricity stealing staff according to the electricity stealing time interval and the electricity stealing amount per unit time output by the electricity loss model, so that an effective data basis is provided for reasonable and compliant electricity fee compensation of power enterprises, the electricity fee is charged according to the data, fair and reasonable, social fairness is promoted, and the ordered, stable and healthy development of social economy is guaranteed.

Description

Method for supplementing reasonability of electric quantity
Technical Field
The invention belongs to the field of electric power industry, and particularly relates to a method for rationalizing electric quantity by additional compensation aiming at electricity stealing.
Background
At present, electricity is a commodity, and the issuance of the power law in China clearly defines the rights and obligations of both power supply and power utilization parties, so that the power market goes on a standardized and legal way. The user must pay the electricity fee according to the state-approved electricity price and the record of the metering device. Electricity stealing is a criminal act, and illegal occupation and use of electric energy by any unit and person is prohibited. However, in real life, some enterprises and individuals are driven by illegal profit ideas to steal electricity so as to achieve the purpose of paying less or even not paying electricity, and thus, the countries and the electric power management enterprises suffer huge economic losses. The electricity stealing behavior not only damages the economic benefits of the country and the electric power management enterprises, but also endangers the normal operation of the power grid and hinders the normal development of the electric power industry. The power grid accident is easily caused by the fact that the individual users are pulled and hung randomly, the rights and interests of the legal users are innocent and damaged, and the healthy development of regional economy is influenced.
The method aims at the problems that the definition of electricity stealing time is difficult, the basis for identifying electricity stealing quantity is insufficient, the calculation of electricity stealing quantity is difficult, and the evaluation means for the effect of pursuing payment is lacked.
Disclosure of Invention
Aiming at the existing problems, the invention provides the following technical scheme: a method for supplementing the reasonability of electric quantity is characterized by comprising the following steps:
s1, identifying electricity stealing time and electricity stealing quantity basis through prior analysis, and finely calculating the chased electricity quantity;
s101, the preliminary analysis refers to analyzing power consumption characteristic data of power consumption change, line loss change and meter opening time of a power stealing case based on reserve data and a model of a preliminary power stealing sample case base, counting power stealing behavior indexes by using a curve analysis and characteristic extraction method, and capturing power consumption characteristic logic fluctuation before and after an abnormal event to judge a power stealing starting time interval;
the prior analysis of S102 further comprises developing a study of the unit time electricity stealing capacity assessment method according to different electricity stealing methods and processing modes, and performing capacity calculation or measurement error calculation according to the specific types and capacitance specifications of corresponding electric equipment to judge the unit time expected range electricity stealing capacity;
s103, the prior analysis further comprises the step of calculating the compensation electric quantity in an elaboration and refining mode according to the time interval of the electricity stealing behavior and the electricity stealing quantity in unit time;
s2, quantifying the chasing deviation and unifying the chasing standard through post analysis;
the post-analysis step S201 includes carrying out multi-dimensional characteristic analysis on an electricity stealing case sample model which is used for completing an electricity charge compensation link from an electricity stealing method, electricity consumption properties and line loss electricity quantity, carrying out characteristic quantification and industry refinement through a plurality of technical means of data preprocessing, dividing case samples by using a fuzzy C mean value clustering algorithm to form typical electricity consumption categories, and calculating the compensation electricity quantity of each category in unit time according to category characteristics;
s202, the post analysis further comprises the steps of taking the reasonable compensation electric quantity of each typical electricity utilization type as a characteristic label, connecting a plurality of characteristics of electricity stealing methods, the electricity utilization quantity and the electricity utilization property to form a new characteristic sample, and unifying the compensation standard;
s3, checking reasonability and compliance of pursuit payment through post management and control, and evaluating pursuit payment effect;
s301, post management and control comprises the steps of performing automatic text analysis on the content of the anti-electricity-stealing work order by using a text mining technology, identifying key information of electricity-stealing time and electricity-stealing characteristics described in the content of the work order, and performing default or abnormal judgment on fields and information of the key factors to evaluate whether the work order description is fully compliant or not;
and S302, performing post management and control, namely comparing the key information obtained by analysis with objective data of the system, and screening whether errors exist in the work order so as to evaluate the quality of the work order of pursuing payment and avoid audit risks.
Has the beneficial effects that: the method for supplementing the reasonability of the electric quantity can automatically calculate the electric quantity to be stolen according to the electric quantity stealing time interval and the electric quantity stealing in unit time output by the electric quantity loss model by an electric quantity supplementing worker, provides an effective data basis for reasonable and compliant supplementing of electric charges of electric enterprises, can realize fine calculation of the electric quantity to be supplemented and automatic evaluation of the supplementing effect, charges according to the data, is fair and reasonable, promotes social fairness, and ensures that social economy is orderly, stable and healthy in development.
Drawings
FIG. 1 is a method of the present invention for remedying the rationality of an electrical quantity;
FIG. 2 is a design idea diagram of post analysis and quantitative pursuit of deviation in the present invention.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention will be further explained with the accompanying drawings.
A method of remedying the rationality of an electrical quantity as shown in figures 1-2, comprising:
s1, identifying electricity stealing time and electricity stealing quantity basis through prior analysis, and finely calculating the chased electricity quantity;
s101, the preliminary analysis refers to analyzing power consumption characteristic data of power consumption change, line loss change and meter opening time of a power stealing case based on reserve data and a model of a preliminary power stealing sample case base, counting power stealing behavior indexes by using a curve analysis and characteristic extraction method, and capturing power consumption characteristic logic fluctuation before and after an abnormal event to judge a power stealing starting time interval;
the prior analysis of S102 further comprises developing a study of the unit time electricity stealing capacity assessment method according to different electricity stealing methods and processing modes, and performing capacity calculation or measurement error calculation according to the specific types and capacitance specifications of corresponding electric equipment to judge the unit time expected range electricity stealing capacity;
s103, the prior analysis further comprises the step of calculating the compensation electric quantity in an elaboration and refining mode according to the time interval of the electricity stealing behavior and the electricity stealing quantity in unit time;
s2, quantifying the chasing deviation and unifying the chasing standard through post analysis;
the post-analysis step S201 includes carrying out multi-dimensional characteristic analysis on an electricity stealing case sample model which is used for completing an electricity charge compensation link from an electricity stealing method, electricity consumption properties and line loss electricity quantity, carrying out characteristic quantification and industry refinement through a plurality of technical means of data preprocessing, dividing case samples by using a fuzzy C mean value clustering algorithm to form typical electricity consumption categories, and calculating the compensation electricity quantity of each category in unit time according to category characteristics;
s202, the post analysis further comprises the steps of taking the reasonable compensation electric quantity of each typical electricity utilization type as a characteristic label, connecting a plurality of characteristics of electricity stealing methods, the electricity utilization quantity and the electricity utilization property to form a new characteristic sample, and unifying the compensation standard;
s3, checking reasonability and compliance of pursuit payment through post management and control, and evaluating pursuit payment effect;
s301, post management and control comprises the steps of performing automatic text analysis on the content of the anti-electricity-stealing work order by using a text mining technology, identifying key information of electricity-stealing time and electricity-stealing characteristics described in the content of the work order, and performing default or abnormal judgment on fields and information of the key factors to evaluate whether the work order description is fully compliant or not;
and S302, performing post management and control, namely comparing the key information obtained by analysis with objective data of the system, and screening whether errors exist in the work order so as to evaluate the quality of the work order of pursuing payment and avoid audit risks.
Case 1:
the method comprises the following steps: judging electricity stealing initial time based on electricity utilization characteristic data, electricity consumption change, line loss change and meter opening cover characteristics, predicting electricity stealing quantity by aiming at different electricity stealing methods and processing modes, and finely estimating the value of the additional charge according to the current electricity charge policy, the electricity price when the peak and the valley are leveled and the step electricity price;
step two: based on electricity stealing case samples generated after the electricity fee is chased, carrying out characteristic analysis from dimensions such as electricity stealing skills, electricity consumption properties and line loss electricity, scientifically estimating reasonable chasing electricity quantity of each category by means of data preprocessing, fuzzy C-means clustering algorithm and the like, and connecting features such as the electricity stealing skills, the electricity consumption properties and the like to form new characteristic samples for updating an electricity stealing sample library and the same chasing standard;
step three: after the pursuit payment is completed, according to objective data of the system, aiming at an inspection work order filed and warehoused, text mining technologies such as key word extraction are utilized to perform automatic text analysis on the content of the anti-electricity-stealing work order, identify key information such as electricity-stealing time and electricity-stealing characteristics described in the content of the work order, judge key factor fields and information, and adopt effective technical means to perform automatic quality audit evaluation, so that the service quality is improved, and audit risks are avoided.
Through the research on rationality of the compensation electric quantity, the compensation electric quantity staff can automatically calculate the electric quantity according to the electric quantity stealing time interval and unit time output by the electric quantity loss model, provide effective data basis for reasonable and compliant compensation electric charge of electric power enterprises, charge according to the data, be fair and reasonable, promote social fairness and ensure that the social economy is orderly, stable and healthy in development.
The workload of staff at the same line is greatly reduced, the working efficiency of the staff in the power enterprise is improved, the operation cost is greatly reduced, and huge economic loss is saved for the power enterprise.
The above description is only an embodiment of the present invention, and those skilled in the art should understand that the present invention is not limited thereto, and any modification, equivalent replacement, improvement, etc. made within the spirit and scope of the method of the present invention should be included in the protection scope of the present invention.

Claims (1)

1. A method of remedying the rationality of an electrical quantity, comprising:
s1, identifying electricity stealing time and electricity stealing quantity basis through prior analysis, and finely calculating the chased electricity quantity;
s101, the preliminary analysis refers to analyzing power consumption characteristic data of power consumption change, line loss change and meter opening time of a power stealing case based on reserve data and a model of a preliminary power stealing sample case base, counting power stealing behavior indexes by using a curve analysis and characteristic extraction method, and capturing power consumption characteristic logic fluctuation before and after an abnormal event to judge a power stealing starting time interval;
the prior analysis of S102 further comprises developing a study of the unit time electricity stealing capacity assessment method according to different electricity stealing methods and processing modes, and performing capacity calculation or measurement error calculation according to the specific types and capacitance specifications of corresponding electric equipment to judge the unit time expected range electricity stealing capacity;
s103, the prior analysis further comprises the step of calculating the compensation electric quantity in an elaboration and refining mode according to the time interval of the electricity stealing behavior and the electricity stealing quantity in unit time;
s2, quantifying the chasing deviation and unifying the chasing standard through post analysis;
the post-analysis step S201 includes carrying out multi-dimensional characteristic analysis on an electricity stealing case sample model which is used for completing an electricity charge compensation link from an electricity stealing method, electricity consumption properties and line loss electricity quantity, carrying out characteristic quantification and industry refinement through a plurality of technical means of data preprocessing, dividing case samples by using a fuzzy C mean value clustering algorithm to form typical electricity consumption categories, and calculating the compensation electricity quantity of each category in unit time according to category characteristics;
s202, the post analysis further comprises the steps of reasonably supplementing the electric quantity of each typical electricity utilization type as a feature tag, connecting a plurality of features of an electricity stealing method, the electric quantity and the electricity utilization property to form a new feature sample, and unifying the additional standard;
s3, checking reasonability and compliance of pursuit payment through post management and control, and evaluating pursuit payment effect;
s301, post management and control comprises the steps of performing automatic text analysis on the content of the anti-electricity-stealing work order by using a text mining technology, identifying key information of electricity-stealing time and electricity-stealing characteristics described in the content of the work order, and performing default or abnormal judgment on fields and information of the key factors to evaluate whether the work order description is fully compliant or not;
and S302, performing post management and control, namely comparing the key information obtained by analysis with objective data of the system, and screening whether errors exist in the work order so as to evaluate the quality of the work order of pursuing payment and avoid audit risks.
CN202010267389.1A 2020-04-08 2020-04-08 Method for supplementing reasonability of electric quantity Active CN111476485B (en)

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Families Citing this family (5)

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Publication number Priority date Publication date Assignee Title
CN112434942A (en) * 2020-11-24 2021-03-02 国网河南省电力公司技能培训中心 Intelligent early warning for preventing electricity stealing and user electricity utilization behavior analysis method
CN112632152A (en) * 2020-12-28 2021-04-09 国网冀北电力有限公司技能培训中心 Circuit control system based on anti-electricity-stealing practical training room
CN113325232B (en) * 2021-06-09 2023-02-17 贵州电网有限责任公司 Electric quantity compensation device and method based on load record of electric energy meter
CN113642641B (en) * 2021-08-13 2024-03-05 北京中电普华信息技术有限公司 Data processing method and device applied to electric charge additional work order
CN113762927A (en) * 2021-09-07 2021-12-07 广东电网有限责任公司 Method, system, equipment and medium for checking electricity stealing repair work order

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109685219A (en) * 2018-12-07 2019-04-26 融智通科技(北京)股份有限公司 The O&M repairing operational method and platform of power grid user equipment
CN110045194A (en) * 2018-01-15 2019-07-23 国网江苏省电力公司常州供电公司 High voltage supply route is opposed electricity-stealing method

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110045194A (en) * 2018-01-15 2019-07-23 国网江苏省电力公司常州供电公司 High voltage supply route is opposed electricity-stealing method
CN109685219A (en) * 2018-12-07 2019-04-26 融智通科技(北京)股份有限公司 The O&M repairing operational method and platform of power grid user equipment

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
以价值为导向的新型反窃电管理模式;林锐涛;《农电管理》;20170910(第09期);26-27页 *
关于预防与查处窃电行为的技术分析;翟磊;《中国电力教育》;20101220;217-218页 *
单相电能计量装置窃电追补电量计算;黄玉龙等;《石家庄职业技术学院学报》;20180428(第02期);31-33页 *
基于信息化的快速查找窃电及违约用电技术研究;王等;《大众用电》;20160905(第09期);16-17页 *
机器学习算法在反窃电分析中的应用;王浩,等;《河北电力技术》;20200229;38-41页 *
窃电相关法律问题分析;鲍飞;《中国电力企业管理》;20170205(第04期);62-63页 *

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