电力系统故障的微弱信号检测方法的研究

为了确保电力系统能够安全稳定的运行，实时检测故障中的微弱信号。通过噪声干扰情况下微弱信号的不同变化进行研究，得到了一种微弱信号的DUFFING混沌检测模型。系统发生故障时会产生相应的微弱信号，运用DUFFING混沌振子法分析不同情况下微弱信号的时域波形和相平面轨迹变化规律，并建立数学检测模型，对其幅值进行混沌检测仿真。结果表明，当r=0.8264V，w=1rad/s时将白噪声和微弱正弦信号同时加入后，此时，混沌状态、大尺度周期状态的相平面运行轨迹依然在进行有规律的运行，可以清晰的观察出需要检测的微弱信号。在强噪声存在于系统中时，该方法明显克服了噪声对信号稳定性的干扰，能精确有效检测微弱信号。系统在应对不同工作环境、仪器设备老化等情况时，提高了检测效率，保证系统的稳定运行。

Research on weak signal detection method for power system fault

In order to ensure that the power system operate safely and reliably, and make the fault detection on real-time. According to the study on the noise of different changes of weak signal, We put forward a model of DUFFING chaotic detection for weak signal. When The system is failure,it occurs the corresponding weak signal, through the DUFFING chaotic oscillator method to analyse time domain waveform of weak signal,which under different conditions and phase plane trajectory variation. Then establish the corresponding detection mathematical model, and simulate the amplitude of chaotic detection. The results show that when r=0.8264V, w=1rad/s, then add white noise and weak sinusoidal signal at the same time, the phase plane trajectory of chaotic state and large scale periodic state is still in regular operation, which can clearly observe the detected signals. If there is the the strong noise in the system, this method will overcome the interference of noise to signal stability, will accurately and effectively detect weak signals. When the system response to different working environment and equipment aging situation, The method improve the weak signal detection efficiency and ensure stable operation of the system.