摘要
提出一种集小波多分辨分析和李雅普诺夫指数于一体的触电电流混沌检测新方法。该方法对触电前后的总泄漏电流进行消噪和滤波,根据混沌系统从混沌状态到大尺度周期状态的分岔行为具有对小信号敏感性和对噪声免疫性的特性,将最大李雅普诺夫指数作为判断混沌系统相变的量化依据,自动判别触电前后混沌系统的临界状态,从而计算出其中包含的触电电流分量。仿真结果表明,该方法能够从包含强噪信号的总泄漏电流中检测出微弱的触电电流信号,对于开发新一代剩余电流保护装置具有一定的参考价值。
A novel chaotic detection of the electric shock current integrating wavelet multi-resolution method and Lyapunov exponent is introduced.First of all,the summation leakage current before and after electric shock is de-noised and filtered.And then,electric shock current component is extracted according to the characteristic that chaotic system’s bifurcation action from chaotic state to scale periodic state is sensitive and immune to weak signals and noises respectively.The largest Lyapunov exponent is proposed as the judgment criterion of phase transition of chaotic system.It can automatically recognize the critical state before and after electric shock.Simulation results show that this method can detect weak electric shock current in the summation leakage current containing strong noise.The detecting method is of a certain reference value for developing new generation residual current operation devices.
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2011年第10期47-52,154,共7页
Power System Protection and Control
基金
国家'十一五'科技支撑计划重点课题(2006BAJ04B06)
中央高校基本科研业务费专项资金资助(2009JS101)
关键词
小波多分辨分析
混沌振子
李雅普诺夫指数
触电信号
低压电网
剩余电流保护装置
wavelet multi-resolution analysis
chaotic oscillator
Lyapunov exponent
electric shock signal
low voltage power network
residual current protection device