PEI Xing yu1, TANG Lei2, HUANG Huai hui1, Zhou Xiao yi1,WEN Fu shuan2,3, LI Wei hua4, LIU Xin dong4

(1.Zhuhai Power Supply Bureau, Guangdong Power Grid Corporation, Zhuhai 519000, China；

2.School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China；3.Department of

Electrical and Electronic Engineering, Institut Teknologi Brunei, Bandar Seri Begawan BE1410, Brunei；

4. School of Electrical and Information Engineering, Jinan University, Zhuhai 519070, China)

Abstract: Aiming at condition based maintenance and reliability evaluation of power system, a Markov process based reliability evaluation method considering condition based maintenance was proposed. The impacting factors on power system reliability was divided into three kinds: outside destroying, aging of equipment and equipment maintenance. With these impacting factors considered, the changes of power equipment states were described as a non aftereffect Markov process with five equipment state levels included. The equipment state transition models were respectively established next for the scenarios with and without maintenance. Then, the system reliability was evaluated using the well established Monte Carlo simulation method and one of the widely used reliability indices, i.e. expected energy not supplied (EENS) was calculated. The results indicate that the equipment quality and work environment have significant impacts on the system reliability. Hence, improving equipment quality and work environment is the first option to enhance the system reliability.

Key words: power system; reliability evaluation; condition based maintenance; Markov process; Monte Carlo simulation