超高压输电线路的故障暂态特征提取及故障类型判断

Feature Extraction of Fault Transient and Fault Type Determination for EHV Transmission Lines

针对故障后分析中对故障特征准确提取的需求,通过分析超高压输电线路中故障暂态的本质特征,运用信息理论的观点,并结合信息熵测度和复杂性测度的特点,提出了基于复合信息测度的故障信号暂态特征提取算法。该算法能从不同的暂态分量角度对不同工况下的故障特征进行分析,解决了在故障初始角接近0°、高频故障暂态微小的工况下暂态特征的提取问题,从而为各种工况下基于暂态量的故障分析提供了特征信息。将该算法应用到故障后分析的故障类型判断中,验证了算法的有效性和准确性。

Aimed at the requirement of post-fault analysis, the hypostasis and features of different fault transients in extra high voltage （EHV） transmission line were analyzed. Using information theory and taking advantage of information entropy measurement and complexity measurement, a new algorithm for fault feature extraction based on multiple- information measurements was proposed. The proposed algorithm can extract the fault features with different fault transients under different work conditions, and can solve the feature-extraction issue when the fault inception angle is around zero and the high-frequency transient is very low. Application in fault classification proved the algorithm to be available and effective.