Lean line loss analysis method and system for distribution network area

Abstract

The invention relates to a lean line loss analysis method and system for a distribution network area, and belongs to the technical field of area line loss analysis. The method comprises the following steps: S1, acquiring and processing electricity consumption data of a client; s2, determining the weight of a line loss evaluation index; and S3, constructing and analyzing a transformer area line loss local abnormal factor model. According to the invention, hidden power consumption behaviors in the power data are mined, and effective detection of abnormal power consumption behaviors is realized. Line loss evaluation index weights are determined through an analytic hierarchy process, comprehensive electricity utilization performance of users is evaluated from multiple dimensions in combination with a local outlier factor algorithm, most of line losses caused by electricity stealing users in a transformer area are detected, electric power companies are assisted in finding electricity stealing line losses and positions more accurately, and safe and normal operation of a power grid is guaranteed.

Description

technical field [0001] The invention belongs to the technical field of line loss analysis in a station area, and in particular relates to a lean line loss analysis method and system in a distribution network station area. Background technique [0002] With the advent of the digital age, data plays an indispensable role in production and life. Many enterprises have also started digital transformation work, and the State Grid Power Supply Company is also keeping up with the tide of the times. The electricity consumption data in my country's Taiwan regions mainly presents three characteristics: huge volume of electricity consumption data and rapid growth of data scale, rich and diversified data types, and fast growth of electricity data. [0003] Line loss management in the station area is the basis of comprehensive line loss management, which can comprehensively reflect the economic operation management level of distribution network and the economic benefits of enterprises, an...

AI Technical Summary

Problems solved by technology

Due to the continuous growth of data volume, the existing data analysis methods are difficult to meet the requirements of accurately and efficiently re

Images