Research On The Methods Of Controling The Anti-electricity Stealing Risks

Against electricity stealing is always a problem the power-supplyenterprises concerned. The past Against electricity stealing issues focusedon the inspection and punishment after stealing. However, the Againstelectricity stealing technology is actually supposed to reduce the economiclosses of the power-supply companies caused by electricity stealing. Therisk of loss exists in all aspects of marketing operations, it is necessary toexplore the source of the risk of loss from all aspects of marketing, and tobuild the risk control measures against the key risk factors.On the other hand, the previous work against electricity stealing oftenuses the management method, which is technically rough. For example, thelocation of stealing disaster area completely relies on the measured line lossrate which often occurs abnormal data, resulting in a miscarriage of justiceof the stealing worst-hit areas; The discrimination of stealing approachesrelies entirely on the inspector’s judgment, and lack of remotereconnaissance and identification methods for abnormal use of electricity;The chasing power calculation is simply based on the meter specification orthe attachment capacity, regardless of stealing approaches, and lack oftechnical methods to accurately estimate the amount of stealing, and so on.In response to these problems, the paper carried out the analysis of the riskfactors of the electric larceny loss, and proposed technical measures to dealwith the risk against the important risk factors.Firstly, the paper started from the analysis of the risk factors of theelectric larceny loss, and used fault tree analysis method to implementquantitative assessment on the structural importance factors of variouselectricity stealing risk sources based on the classification of the electricity stealing risk source. Thus to find out that the most important factorsaffecting the risk of electricity stealing loss are as follows: Marketing auditprocess standardization degree, Against Electricity Stealing analysismethods, and the proof ability of electrical inspection tools. Then the paperexpanded the research on technical approaches of risk control around one ofthe two technical problems-Against electricity stealing analytical methods,and proof ability of electrical inspection tools.The core issue of the against electricity stealing analysis is to establisha location method against the electricity stealing suspicious users. Giventhat many power companies use the area measured line loss rate as thecriteria of electricity stealing disaster area, while the area measured line lossrate often appears to be negative, zero or abnormally high values, this paperproposes a method to identificate and to correct the abnormality causes ofarea line loss rate, so as to improve the location accuracy of the electricitystealing disaster area. The method distinguished the management issuesand technical issues resulting in abnormal line loss rate according to theexception types and duration characteristics of the district line loss rate; thusfurther identified the wrong type of connection problem, lack of reactivepower compensation problem, three-phase load seriously unbalancedproblem etc. According to the characteristics of the secondary electricalquantities measured value, and proposed corrective calculation formula ofthe area line loss rate based on the recognition results. Using the district lineloss rate after correction to determine the stealing disaster area can improvethe comprehensiveness and accuracy of the identification result and canreduce the risk of miscarriage of justice of the identification.In the aspect of the proof capabilities of electrical inspection tool, thispaper presented a remote determination method of the Electricity Stealingapproaches suitable for the embedded electricity inspection, respectivelyagainst the three-phase-four-wire and the single-phase user. The methoduses the wireless transmission or carrier function of smart meters and themetrological characteristics of two-way metering and sub-phase metering to identificate whether the user is electricity stealing as well as the electricitystealing method based on the returned data, which saves a lot of manpower.In addition, the paper also proposed a correction factor method forestimating the electricity stealing amount and the retroactive electricitytariffs. Unlike the current calculation method, the proposed method canestimate the electricity stealing amount and the retroactive electricity tariffsin accordance with the electricity stealing approach, and distinguish thedifferent amount of loss caused by various electricity stealing approaches;And, can also correct the electricity tariffs for large users according to theiractual power factor, which will not only make the electricity inspection andpunishment more equitable but also be able to embed the algorithm into thehandheld electricity tester and reduce the risk of electricity arrears.The paper used the actual data of a Shanghai power company toimplement numerical examples against the above three aspects, the resultvalidated the feasibility and rationality of the proposed method. The studyresults of this paper enhance the effectiveness of the Against electricitystealing work, and reduce the risk of electricity stealing loss of the powersupply enterprises.