基于相似度投票的牵引供电系统CT隐藏故障在线诊断
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国家自然科学基金(50907055,U1134205);四川省科技支撑计划(2011GZ0079);铁道部科技研究开发计划(2011J023-C);中央高校基本科研业务费专项资金(SWJTU12CX028)


Online diagnosis of CT hidden fault in traction power supply system based on the similarity vote
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    摘要:

    电流互感器(CT)的隐藏故障特征十分微弱,影响计量及保护设备性能,在系统出现故障或压力时容易导致系统连锁故障甚至崩溃,为及时发现CT隐藏故障并预警,需要对其进行在线诊断。现有文献的故障诊断方法均需要提取故障后特征信息,不适用于隐藏故障分析。基于此,首先根据基尔霍夫电流定律联系牵引供电系统拓扑中各支路CT之间的电流约束关系建立关联矩阵,得到各CT解析电流值;再利用解析值与实测值相似系数受隐藏故障的影响规律建立投票规则实现CT隐藏故障在线诊断。本方法无需额外增加测量设备,仿真结果不受牵引供电系统负荷电流变化大的影响,同时对投票中的阈值选取要求不高。

    Abstract:

    The hidden fault characteristics of the current transformer (CT) are very weak, which affects the performance of measurement and protection equipment and easily leads to a cascading failure or even crash when the system has fault or pressure. It is necessary to make online diagnosis for timely detection of CT hidden fault and pre-warning. The fault diagnosis methods of the existing literature require feature extraction after a fault occurs, which are not applicable to the hidden fault analysis. According to the Kirchhoff's current law, based on the current constraint relationship among CT of branches in the topology of traction power supply system, CT associated matrix is provided to get the analytical value from every CT. Based on the influence law of hidden fault on the similarity coefficient between the analytical value and measured value, the voting rules are established to realize CT hidden fault online diagnosis. This method does not need additional measuring equipment. Simulation results are not affected by load current change in traction power supply system, and the selection of vote threshold is undemanding.

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张毓格,陈双,韩正庆,等.基于相似度投票的牵引供电系统CT隐藏故障在线诊断[J].电力系统保护与控制,2013,41(23):126-131.[ZHANG Yu-ge, CHEN Shuang, HAN Zheng-qing, et al. Online diagnosis of CT hidden fault in traction power supply system based on the similarity vote[J]. Power System Protection and Control,2013,V41(23):126-131]

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