利用小波变换进行故障选相

Selection of Fault Phases Based on Wavelet Transform

分析母小波的选取问题 ,强调相频特性的重要性 ,并选用一种复小波为母小波。首次提出利用该复小波及其快速递推算法进行故障选相的新判据。经大量仿真试验证明 ,所提出的新判据基本不受故障类型、过渡电阻、初相角和故障点位置的影响 ,可以无延时地即时判明故障相别。提出的方法具有算法简单、检测准确、抗干扰能力强、不会发生误判的优点 。

The selection methods of mother wavelet are analyzed. A complex wavelet is selected as mother wavelet. To get the best performance of wavelet transform, the principles of selecting fault phases are analyzed and a new criterion is presented. The new criterion fully utilizes the results of wavelet transform and distills more comprehensive information to select fault phases. Simulation results prove that the criterion is not influenced by fault type, transition resistance, or initial phase angle. It can instantly select the fault phases. The method has many advantages such as simple algorithm, accurate discrimination results and strong immunity to disturbance.