Reliability Analysis of Repairable Stability Control System Based on Hierarchical Markov

doi:10.11930/j.issn.1004-9649.201805154

Abstract

Abstract: The reliability modeling analysis of the stability control system is still vacant. It is therefore of great significance to establish a reliability analysis model of the stability control system so as to perfect and improve the stability control system's design, architecture and operation. As an analysis of the function structure shows, the stability control system are structurally characterized with the redundant configuration of multi-series system and multi-system voting. The stability control system is complex in structure and large in the number of devices, so the Markov modeling is large in state-space number, which makes it impossible to realize the direct modeling solution. Based on the structural characteristics of the stability control system, the hierarchical Markov probability mapping method is proposed to reduce the number of state-space and the amount of computation, which makes it possible to realize the reliability analysis and calculation of the stability control system. The reliability modeling method is used to establish a detailed state model for a typical stability control system, which considers the factors of self-checking, overhauling, hidden faults and redundant configuration of the stability control system. The reliability analysis shows that unreasonable arrangement of equipment overhauling may reduce system reliability, which breaks the common knowledge that overhauling can improve the system reliability.

Key words: stability control system, reliability analysis, hierarchical Markov, repairable system, hidden fault

QIE Zhaohui, LI Wei, CUI Xiaodan, LIU Fusuo. Reliability Analysis of Repairable Stability Control System Based on Hierarchical Markov[J]. Electric Power, 2020, 53(3): 101-109.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.201805154

https://www.electricpower.com.cn/EN/Y2020/V53/I3/101

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