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建立了电能质量监测和分析系统,对改善电能质量、避免设备损坏和电力系统故障有重要的作用。提出了一种基于分层分析系统的电能质量扰动分析算法,来提高电能质量扰动分类的准确性及对噪声的适应性。采用多种信号处理算法方法,萃取能反映信号扰动参数的特征并逐层进行分析,最后综合判定信号的扰动类型。在不同噪声水平的情况下,通过对6种常见的单一电能质量扰动信号和4种复合扰动信号的仿真,验证了该方法的有效性和准确性。
A power quality monitoring and analysis system has been established that plays an important role in improving power quality, avoiding equipment damage and power system failures. A power quality disturbance analysis algorithm based on hierarchical analysis system is proposed to improve the accuracy of power quality disturbance classification and its adaptability to noise. Using a variety of signal processing algorithms, the extraction can reflect the characteristics of signal perturbation parameters and analyze them layer by layer. Finally, the type of signal disturbance is determined synthetically. At different noise levels, the effectiveness and accuracy of the proposed method are verified through the simulation of six common single-quality power disturbance signals and four kinds of complex disturbance signals.