• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

Electric Power Construction ›› 2018, Vol. 39 ›› Issue (1): 19-.doi: 10.3969/j.issn.1000-7229.2018.01.003

Previous Articles     Next Articles

 Measurement and Analysis of Impacting Factors for Operation and Maintenance Costs in UHV Substations

 ZHOU Hongyu1, XUE You2, LIU Zuoyu2, SHEN Jie3, YU Min4, WEN Fushuan2

 
  

  1.  (1. Department of Operation and Maintenance, State Grid Corporation of China, Beijing 100031, China;2. College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;3. Department of Operation and Maintenance, Zhejiang Electric Power Company Limited, Hangzhou 310007, China;4. Economic and Technical Research Institute of Zhejiang Electric Power Company Limited, Hangzhou 310008, China)
     
  • Online:2018-01-01
  • Supported by:
     Project supported by National Natural Science Foundation of China (51477151)
     

Abstract:  ABSTRACT: The operation and maintenance (O&M) of ultra high voltage (UHV) equipment is a key business issue in management and operation of a power system, identification, measurement and analysis of the factors impacting on O&M costs are essential for controlling the O&M costs effectively. Given this background, the indirect and direct impacting factors on the O&M costs of UHV equipment are first identified from both the compositions of the maintenance costs and the external environment, and parts of impacting factors are quantified by employing the dimension reduction method, decade depreciation method, fuzzy C-means clustering method. Then, these impacting factors are measured and analyzed through the correlation analysis, proportion analysis, principal component analysis, and path analysis. Finally, an actual O&M project of an UHV substation in Zhejiang province is served for demonstrating the presented method, and some important impacting factors on O&M costs are then identified.

 

Key words:  ultra high voltage (UHV), operation and maintenance (O&M), impacting factors, quantitative analysis method, principal component analysis, path analysis

CLC Number: