电力系统保护与控制2016，Vol.44Issue(5)：134-140,7.DOI:10.7667/PSPC151240
基于变压器马尔可夫状态评估模型和熵权模糊评价方法的风险评估技术研究
Research on risk assessment technology based on Markov state evaluation model for power transformer and entropy-weighted fuzzy comprehensive evaluation
张桦 1魏本刚 2李可军 3梁永亮3
作者信息
- 1. 重庆大学电气工程学院，重庆 400044
- 2. 上海市电力公司电力科学研究院，上海 200437
- 3. 山东大学电气工程学院，山东 济南250061
- 折叠
摘要
Abstract
To build an effective assessment method for the risk of electric power transformers, the full condition model of transformer based on condition-based maintenance (CBM) and Markov Process is established, considering the complexity and uncertainty of transformer fault. The research method of classified index is used for confirming the severity of transformer defects. Combined with the calculation model for subcomponent fault frequency, entropy-weighted fuzzy method is adopted to quantify the serious degree. Based on the above research the assessment matrix is established. Then a new assessment method for the risk of electric power transformers is given. The simulation program is compiled, and a case is analyzed by the risk assessment technology. The calculation result concludes the risk value and maintenance strategy. Empirical results show that the approach proposed is available and effective.关键词
电力变压器/马尔可夫过程/熵权模糊综合评价/风险评估/维修策略/故障频率Key words
power transformer/Markov Process/entropy-weighted fuzzy comprehensive evaluation/risk assessment/maintenance strategy/fault frequency引用本文复制引用
张桦,魏本刚,李可军,梁永亮..基于变压器马尔可夫状态评估模型和熵权模糊评价方法的风险评估技术研究[J].电力系统保护与控制,2016,44(5):134-140,7.
