基于滑窗小波和二点法的电压暂降检测算法
Study on Detection of Voltage Sag Based on Sliding Window Wavelet and Two Points Method
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摘要: 针对小波变换电压暂降检测算法在谐波干扰条件下的不足,提出了一种基于滑窗小波和二点法的电压暂降算法。该算法首先通过滑窗小波滤除暂降信号中的谐波分量,得到电网基波信号;再利用二点法计算电压暂降幅值比及相位跳变角。实例仿真表明,所提算法不存在因小波系数最大模难以识别而导致的暂降特征量无法计算的问题,能够在谐波干扰条件下准确地检测出电压暂降特征参数,且相关检测结果延迟小于一个工频周期,满足实际工程需要。Abstract: A algorithm of voltage sag detection based on sliding window wavelet and two points method was proposed for overcome the disadvantage of wavelet transform in the condition of harmonics interference. According to the proposed algorithm, the fundamental voltage signal can be obtained by using sliding window wavelet to filter harmonic component. Then, the amplitude ratio and phase jump information of voltage sag are detected by Two Points method. Simulation results show that the problem of voltage sag characteristic parameter calculation, which caused by wavelet coefficient maximum norm is hardly to identification, does not exist when the proposed algorithm is adopted. The proposed algorithm can meet the needs in engineering due to the voltage sag characteristic parameter can be detected under the condition of harmonics interference and the delay of detecting results less than one cycle.