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Research of Power System Fault Diagnosis Method Based on Information Identification

机译:基于信息识别的电力系统故障诊断方法研究

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摘要

The main current research achievements for power system diagnoses are summarized,a fault diagnosis method based on information identification is proposed in this paper.Through the analysis of the power flow difference between normal operation and fault tripping,a fault equipment confirmed algorithm based on abnormal changes in the structure of power grid is developed,the evaluation of the action of the related relay protection and circuit breaker is realized by taking the confirmed fault equipment as the beginning of logic analysis.In order to identify the fault information sent out by SCADA system,accident information,abnormal information and status changing information are used in a identify fault information model.The model analyses these three parts information and identify their validity.The model combining with the fault diagnosis method received good results.
机译:总结了当前电力系统诊断的主要研究成果,提出了一种基于信息识别的故障诊断方法。通过分析正常运行与故障跳闸之间的潮流差,提出了一种基于异常变化的故障设备确认算法。在电网结构开发中,以已确认的故障设备作为逻辑分析的起点,实现了对相关继电保护和断路器动作的评估。为了识别SCADA系统发出的故障信息,事故信息,异常信息和状态变化信息用于故障信息识别模型。该模型对这三部分信息进行分析,确定其有效性。该模型与故障诊断方法相结合取得了良好的效果。

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