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Fault Diagnosis for 750 kV Substation Based on Bayesian Network
Author(s): 
Pages: 91-96
Year: Issue:  3
Journal: Journal of Lanzhou Jiaotong University

Keyword:  750 kV substationdual net dual protectionfault diagnosisredundant knowledge representationBayesian Networkinformation entropy;
Abstract: 针对750 kV变电站双网双重保护配置特点及保护装置和断路嚣存在的误动、拒动等不确定情况,提出了一种具有冗余保护的750 kV变电站贝叶斯网故障诊断方法.在该方法中,建立了可疑故障元件贝叶斯网的主网和冗余网诊断模型,同时,将元件的双重保护配置信息在诊断模型中进行冗余知识表示,使诊断结果具有高容错性.采用信息熵理论确定可疑故障元件的初始概率,避免了大量样本数据获取难度大的情况及采用专家经验获取时存在的主观缺陷.通过贝叶斯网的概率推理获得可疑故障元件的后验概率,对两个模型的诊断结果进行综合判定后确定故障元件,实现对750 kV变电站常见故障可靠定位,案例分析验证了该方法的正确性和有效性.
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