Electric Power ›› 2023, Vol. 56 ›› Issue (7): 216-227.DOI: 10.11930/j.issn.1004-9649.202302061

• Technology and Economics • Previous Articles     Next Articles

Evaluation and Analysis of Factors Affecting Operation and Inspection Cost of Distribution Network Equipment Assets

LUO Chaoyueling1, LI Zhiwei2, XU Zhenyu1, TANG Xuejun2, LI Li1, FANG Zhao3   

  1. 1. College of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430070, China;
    2. State Grid Hubei Electric Power Company Economic and Technical Research Institute, Wuhan 430200, China;
    3. State Grid Hubei Electric Power Co., Ltd., Wuhan 430074, China
  • Received:2023-02-17 Revised:2023-04-17 Accepted:2023-05-18 Online:2023-07-23 Published:2023-07-28
  • Supported by:
    This work is supported by National Natural Science Foundation of China (No.51777082) and Management Consultation Project of SGCC (No.5400-202056131A-0-0-00).

Abstract: At present, the cost structure of distribution network operation and maintenance is vague, and the management is relatively extensive, which can easily lead to regional allocation imbalance, and the weakness of equipment asset operation and maintenance cannot be reasonably strengthened. A method for evaluating and analyzing the factors affecting the operation and inspection cost is proposed based on the BMA improved grey correlation method. Potential influencing factors are analyzed from the aspects of economic factors, equipment factors, environmental factors, and network structure. Key variables are selected based on the Bayesian model averaging (BMA) method, and the improved anti entropy grey correlation analysis method is used to quantitatively analyze the correlation degree of influencing factors, and identify the weakness that affects the operation and inspection costs. Nine key factors affecting the operation and inspection cost of actual distribution network equipment assets are selected in actual power supply area, and the comprehensive score and weak construction items are obtained. The effectiveness and rationality of this method are verified combined with the specific situation of regional development finally.

Key words: optimization of transportation and inspection costs, multivariate panel regression, improved grey relational analysis, Bayesian average model, combination weighting