中性点补偿电网单相故障五次谐波混沌检测方法

Fifth harmonic detection for single phase to ground fault in compensated power network based on chaotic theory

提出了基于混沌理论的中性点补偿电网五次谐波故障选线方法。首先,基于混沌理论研究故障背景信号的神经网络建模方法,通过神经网络的预测模型滤除故障背景信号。其次,为了检测到微弱的故障五次谐波分量,提出基于Duffing振子五次谐波相变原理的故障检测方法,并构造了Duffing振子相变检测选线方法的数值型判据。实验算例证明该选线判据具有很强的可靠性和适用性。

Utilizing the 5^th harmonic fault signal, a SPGF detecting method based on chaotic theory is proposed. The background signal was modeled with fuzzy neural network based on chaotic theory, and through the prediction of the FNN, the fault background signal was filtered to remove the interference. The Dulling oscillator chaotic detecting principle was employed to extract very weak 5th harmonic signal, the fault detection method based on 5th harmonic phase altering was established, and then this detecting method was converted into numerical type fault detecting criterions. The experiments show that the proposed method can locate the fault line exactly and reliably.