徐波, 韩学山, 李业勇, 张玉敏, 李明, 黄海丽. 电力设备机会维修决策模型[J]. 中国电机工程学报, 2016, 36(23): 6379-6388,6603. DOI: 10.13334/j.0258-8013.pcsee.151916
引用本文: 徐波, 韩学山, 李业勇, 张玉敏, 李明, 黄海丽. 电力设备机会维修决策模型[J]. 中国电机工程学报, 2016, 36(23): 6379-6388,6603. DOI: 10.13334/j.0258-8013.pcsee.151916
XU Bo, HAN Xue-shan, LI Ye-yong, ZHANG Yu-min, LI Ming, HUANG Hai-li. Opportunistic Maintenance Decision-making Model for Power Equipment[J]. Proceedings of the CSEE, 2016, 36(23): 6379-6388,6603. DOI: 10.13334/j.0258-8013.pcsee.151916
Citation: XU Bo, HAN Xue-shan, LI Ye-yong, ZHANG Yu-min, LI Ming, HUANG Hai-li. Opportunistic Maintenance Decision-making Model for Power Equipment[J]. Proceedings of the CSEE, 2016, 36(23): 6379-6388,6603. DOI: 10.13334/j.0258-8013.pcsee.151916

电力设备机会维修决策模型

Opportunistic Maintenance Decision-making Model for Power Equipment

  • 摘要: 状态检修背景下,针对具有2类故障(突发性故障和劣化故障)的电力设备,深入研究故障间相互关联引起的风险对设备检修决策的影响,将设备突发性故障情景的处理有机融入其中,提出设备机会维修决策的数学模型。该模型从不同类型故障的失效规律出发,建立马尔科夫过程描述设备的状态转移过程。进一步,在机会维修策略引导下,推导了设备风险和系统运行风险的解析表达。最后,以设备风险和系统运行风险二者之和最小为目标,构建设备机会维修决策模型,并基于成熟的遗传算法予以求解。算例分析表明,该模型能够充分反映机会维修对设备性能以及系统运行性能的影响,为优化设备检修策略提供必要的理论基础。

     

    Abstract: Under the background of condition-based maintenance, there exist two kinds of failure(sudden failure and deterioration failure) for power equipment. To investigate the impact of failure dependence on equipment maintenance decision, this paper considered the handling of sudden failure and built up opportunistic maintenance decision-making model for power equipment. In consideration of the equipment failure rules, this model constructed equipment state transition diagram by Markov process. Furthermore, analytical expression of equipment risk and system operation risk were deduced based on opportunistic maintenance strategy. Finally, the equipment opportunistic maintenance decision-making model was built up to minimize the sum of equipment risk and system operation risk. Genetic algorithm was used to solve this model. The efficiency of this model is demonstrated by some practical examples. This model provides necessary foundation for optimizing equipment maintenance strategies.

     

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