Evolutionary Multi-objective optimization of Inspection Frequencies for Substation Condition-based Maintenance

摘要：

Improving the overall reliability and reducing the operating cost are the two most important but often conflicting objectives for substation. Condition-based substation maintenance provides a means of balancing these objectives. This paper proposes a multi-objective approach to best compromise these two objectives by optimizing the inspection frequencies required for each component. A multi-component model is employed to identify the critical components by evaluating the overall reliability of interconnected components. A Markovchain model is developed to assess the impact of changing individual inspection frequencies on reliability and operating cost. Pareto fronts are generated to optimize the tradeoff between the two objectives for comparisons with other substation configurations. In this paper, four different substation configurations are examined to demonstrate the effectiveness and potential of the proposed approach for handling more complicated configurations.

关键词： condition-based substation maintenance inspection frequency optimization Markov-chain reliability model multi-objective evolutionary algorithm.

作者: Haitao Sang Guoquan Wang Zhen Zhou

作者单位: College of Computer & Information Engineering,Heilongjiang Institute of Science & Technology,Harbin Institute of Measurement & Communication,Harbin University of Science and Technology,Harbin China

会议类型: 国际会议

会议名称: The 6th International Forum on Strategic Technology(IFOST 2011)(第六届国际战略技术论坛)

会议地点: 哈尔滨

会议语种:英文

页码: 480-486

在线出版日期: 2011-08-22（万方平台首次上网日期，不代表论文的发表时间）