Status comprehensive evaluation of power grid low voltage distribution district

Abstract

At present, when the size of low voltage distribution district exploded, the development of state assessment of low voltage distribution district became the daily operation monitoring of district, district reform, district governance. There were still many problems with the current low voltage distribution district condition assessment done by power grid enterprises, such as still relatively single evaluation index, too subjective or too objective evaluation methods, and the application of business system data in low voltage distribution district condition assessment was not deep enough. This made the assessment of the state of the low voltage distribution district relatively one-sided, which affected the overall results of the district's state assessment. It was often possible to extrapolate the whole picture from what was observed. This also directly led to unsatisfactory results or even significant deviations from expectations in the daily operation monitoring, district reform and district governance of the district. In this paper, the current status and problems of the low voltage distribution district were brought into focus, and a comprehensive evaluation method of the status of the power grid low voltage distribution district was proposed, based on the current level of business digitization in power grid companies, which combines subjective and objective evaluation and covers more indexes. The low voltage distribution district status comprehensive evaluation index system was built from seven dimensions, including district line loss and district power grid. Based on the application of the integrated weight method of AHP (analytic hierarchy process) and the inverse entropy weight method, the comprehensive quantitative evaluation of the status of low voltage distribution district was realized. In addition, the district data of a power grid enterprise was analyzed in a case study. The practicality and feasibility of the proposed method were fully verified.