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作 者:柯挺 田松林 周海 KE Ting;TIAN Songlin;ZHOU Hai(Southern Power Grid Shenzhen Digital Power Grid Research Institute Co.,Ltd.,Shenzhen 518000,Guangdong,China)
机构地区:[1]南方电网深圳数字电网研究院有限公司,广东深圳518000
出 处:《电气传动》2024年第2期82-87,共6页Electric Drive
基 金:南方电网深圳数字电网研究院有限公司科技创新项目(2100000292021030102DW00017)。
摘 要:为解决小型变电站故障准确度较低的问题,提出构建基于合作博弈和云模型的小型变电站故障诊断模型。通过分析故障发生特点和原因,确立诊断指标体系;选用熵值法和专家赋权法分别得出指标权重,利用合作博弈方法,计算组合权重一致性系数和组合权值,经过归一化处理得到最终拟合权重;通过云模型实现各指标的定量表示,得出加权偏离度,根据加权偏离度确定最终诊断结果。实验结果表明,所建模型的指标权重分配满足一致性要求,故障位置和程度的诊断准确度高,可为变电站安全运行提供更多保障。In order to solve the problem of low accuracy of small substation fault diagnosis,a small substation fault diagnosis model based on cooperative game and cloud model was proposed.By analyzing the characteristics and causes of faults,the diagnosis index system was established.Entropy method and expert weighting method were used to obtain index weight,cooperative game method was used to calculate consistency coefficient and combination weight,and the final fitting weight was obtained through normalization.Through the cloud model,the quantitative expression of each index was realized,and the weighted deviation degree was obtained.According to the weighted deviation degree,the final diagnosis result was determined.The experimental results show that the index weight distribution of the established model meets the consistency requirements,and the diagnostic accuracy of fault location and degree is high,which can provide more guarantee for the safe operation of substation.
关 键 词:合作博弈 云模型 小型变电站 故障诊断模型 熵值法
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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