Power Generation Technology ›› 2022, Vol. 43 ›› Issue (4): 636-644.DOI: 10.12096/j.2096-4528.pgt.21142

• Smart Grid • Previous Articles     Next Articles

Research on Comprehensive Evaluation System of Power Grid Development and Operation Based on User Demand

Yiming HAN, Pengfei XU, Jianfeng GONG, Yaru SHEN   

  1. Economic and Technological Research Institute, State Grid Ningxia Electric Power Co. , Ltd. , Yinchuan 750000, Ningxia Hui Autonomous Region, China
  • Received:2021-12-30 Published:2022-08-31 Online:2022-09-06
  • Supported by:
    National Key Research and Development Program of China(2020YFB2104500)

Abstract:

Good power grid construction can better serve the development of national economy. In order to find out the problems and deficiencies of power supply enterprises in the process of power grid development, construction and operation, and grasp the development focus of power supply enterprises, based on the user demand, a criteria importance through intercriteria correlation (CRITIC)-entropy weight method and root cause analysis method were proposed for the comprehensive evaluation and diagnostic analysis research of power grid development and operation in power supply enterprises. Firstly, combined with the basic ideas and general principles of index system construction, a comprehensive evaluation index system suitable for power grid development and operation was established, and the weight of each index was calculated based on the improved CRITIC-entropy weight method. Then, based on the relevant data of power grid development and operation of eighteen county-level power supply enterprises in Ningxia Hui Autonomous Region, the comprehensive evaluation of power grid development and operation was carried out. Finally, the root cause analysis method was used to diagnose and analyze the causes of low comprehensive evaluation results of enterprises, and the corresponding improvement suggestions were put forward.

Key words: distribution network, index system, comprehensive evaluation, entropy weight method, index weight

CLC Number: