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Optimal State Risk Scheduling Based on Selective Maintenance Strategy
Mathematical Problems in Engineering ( IF 1.430 ) Pub Date : 2021-06-19 , DOI: 10.1155/2021/9963427
Xingquan Ji 1 , Xuan Zhang 1 , Yumin Zhang 1 , Xueshan Han 2 , Ziyang Yin 1 , Wei Wang 3
Affiliation  

Because stochastic fault cases (i.e., opportunistic maintenance strategy) of the equipment are not considered in the condition-based maintenance decision of the system, which will deviate from the actual situation, a system condition-based maintenance scheduling model considering opportunistic maintenance strategy is proposed in this paper. To implement the system maintenance strategies, the correlation set is formulated by considering the relationship among different equipment. According to renewal process theory, the availability of the correlation set considering planned maintenance and opportunity maintenance is deduced and the maintenance strategy of the system is realized. Then, to reflect the relationship between equipment maintenance and system operation, a system state scheduling model aiming at minimizing the sum of maintenance risk and failure risk as well as considering system resource constraints is proposed, thus obtaining the optimal maintenance schedule based on system state. Finally, a simple test system and IEEE-RTS79 node system are employed to demonstrate the feasibility and effectiveness of the proposed maintenance model, and it also verified that the proposed model can be integrated into the power system condition-based maintenance theory.

中文翻译:

基于选择性维护策略的最优状态风险调度

由于系统状态检修决策中没有考虑设备的随机故障情况(即机会维修策略),会偏离实际情况,提出一种考虑机会维修策略的系统状态维修调度模型。在本文中。为了实施系统维护策略,通过考虑不同设备之间的关系来制定相关集。根据更新过程理论,推导出考虑计划维护和机会维护的关联集的可用性,实现系统的维护策略。然后,反映设备维护与系统运行的关系,提出了一种以维护风险和故障风险之和最小为目标,并考虑系统资源约束的系统状态调度模型,从而获得基于系统状态的最优维护调度。最后,通过一个简单的测试系统和IEEE-RTS79节点系统证明了所提出的维修模型的可行性和有效性,并验证了所提出的模型可以集成到电力系统状态维修理论中。
更新日期:2021-06-19
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