Electric quantity supplementing method based on clustering and PQUI recognition algorithm

Abstract

The invention discloses an electric quantity supplementing method based on clustering and a PQUI recognition algorithm, and relates to the field of power grid operation and maintenance. At present, the electricity stealing amount cannot be accurately calculated, the difference between the calculated electricity stealing amount and the actual electricity stealing amount is too large, and users andelectric power companies are difficult to keep fair. According to the invention, the electricity stealing time of the user is judged according to the load data of the user, then the electricity stealing manipulation is determined according to the relationship between the load data, the correction coefficient is determined according to the electricity stealing behavior, and finally the compensationelectric quantity is calculated according to the correction coefficient. And a clustering algorithm and / or a PQUI algorithm are / is adopted during calculation of the number of electricity stealing days. According to the technical scheme, the clustering algorithm and the PQUI recognition algorithm are adopted to calculate the corresponding electricity stealing amount, the calculation matching performance is good, the accuracy is high, the collected data can meet the requirements, the supplementary electricity amount of the electricity stealing user can be accurately, objectively and quickly calculated, the supplementary electricity amount is made to be consistent with the actual electricity amount, and the fairness of electricity utilization is improved.

Description

technical field [0001] The invention relates to the field of power grid operation and maintenance, in particular to a method for recovering electricity based on clustering and PQUI identification algorithms. Background technique [0002] The year-on-year increase in power production and consumption levels has greatly promoted the development of power management technology, but the problem of power theft has become more and more prominent. The problem of stealing electricity not only brings about the safety of electricity consumption, but also leads to the issue of fairness among users and the direct economic loss of power supply enterprises. Nowadays, most of the supplementary power is directly estimated by manual analysis, but this method is too flexible and not convincing enough to be convincing. Therefore, it is necessary to propose a reasonable method to find a reasonable power-stealing interval from the historical load data and correctly calculate the supplementary pow...

AI Technical Summary

Problems solved by technology

[0004] After determining the electricity stealing time, it is necessary to confirm the electricity stealing method. Due to the different electricity stealing methods, the correction coefficient of each user is also different, so that the amount of electricity stolen cannot be accurately calculated, and the calculated amount of electricity stolen is different from the actual amount of electricity stolen. Too much, it is difficult to maintain fairness between users and power companies

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