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作 者:赵亮 陈波 卢铭翔 许杨俊 ZHAO Liang;CHEN Bo;LU Ming-xiang;XU Yang-jun(China Southern Power Grid Digital Power Grid Technology(Guangdong)Co.,Ltd.,Guangzhou 510520,China)
机构地区:[1]南方电网数字电网科技(广东)有限公司,广州510520
出 处:《信息技术》2025年第4期105-109,共5页Information Technology
摘 要:为确保变电站设备的稳定运转,提出基于多源数据融合的变电站二次设备干扰故障自动诊断方法。利用小波变换技术预处理二次设备数据,提取小波故障表征;利用改进分层权重模糊Petri网将变电站二次设备开关量的状态转化为设备的模糊故障率;融合小波故障表征和模糊故障率,形成故障特征证据体,改进D-S证据理论,根据可信度对融合后的故障特征证据体进行修正,结合变电站二次设备的构成对其干扰故障进行判定,完成干扰故障自动诊断。实验结果表明,所提方法能够准确诊断出变电站二次设备干扰故障,保证电力系统运行安全。In order to ensure the stable operation of substation equipment,an automatic diagnosis method of interference fault of substation secondary equipment based on multi-source data fusion is proposed.Wavelet transform technology is used to preprocess secondary equipment data and extract wavelet fault characterization.The state of switching quantity of secondary equipment in substation is transformed into the fuzzy failure rate of the equipment by using improved hierarchical weighted fuzzy Petri net.The fault characteristic evidence body is formed by fusion of wavelet fault characterization and fuzzy fault rate.The D-S evidence theory is improved to modify the fault characteristic evidence body according to the reliability,and the interference fault determination is combined with the composition of the substation secondary equipment to complete the automatic diagnosis of interference fault.The experiment results show that the proposed method can accurately diagnose the interference fault of substation secondary equipment and ensure the safety of power system operation.
关 键 词:多源数据融合分析 变电站二次设备 设备干扰故障诊断 小波变换 证据可信度
分 类 号:TM131.1[电气工程—电工理论与新技术]
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