基于编码理论的电网故障诊断及监测信号校正

Power Network Fault Diagnosis and Monitoring Signal Correction Based on the Coding Theory

对电网故障诊断模型的性能指标进行了归纳,提出了构造有效测试样本集的方法。为了提高模型的容错性,提出了基于最大似然译码原理的监测信号信息校正方法,然后利用编码基本网在无畸变信号的基础上进行故障诊断。其中,通过对保护进行重新归类,简化了基本网模型并提高了故障诊断系统的可移植性。对测试样本集的诊断表明文中方法简单、快速,可移植性强。

Performance indices of power system fault diagnosis methods are summarized, followed by presentation of the method for construction of a test sample set to ensure an objective and precise evaluation. In order to enhance the fault tolerance ability of the fault diagnosis model, information correction is thus adopted based on the maximum likelihood decoding theory. Then the power network fault diagnosis process is carried out by the encoded elementary net （EEN） system, of which a new method for protection reclassification is introduced to simplify the EEN model as well as to enhance its translatability. Based on the test results of all the signals in the test sample set （two examples are given to show the diagnosis process）, it is shown that the power network fault diagnosis model is simple, fast and is tolerant for information aberrance, which can meet the requirements of application.