针对希尔伯特-黄变换(HHT)方法分析暂态电能质量信号时存在模态混叠问题,提出了一种基于谐波补偿迭代改进的HHT暂态电能质量信号分析方法.该方法通过谐波补偿改变暂态电能质量信号包络分布,并根据暂态信号特征和频率范围确定补偿谐波信号的幅频范围.给出了该方法的具体实现步骤,并进行了算法验证.测试结果表明,该方法能够快速准确地对暂态电能质量信号进行分析,有效抑制模态混叠,改善分解性能;与基于标准经验模态分解(EMD)、集合经验模态分解(EEMD)的HHT方法相比较,该方法计算准确,分解结果符合信号实际情况,物理意义明确.%To overcome the mode mixing problem of the Hilbert-Huang transform (HHT) method for analysis of transient power quality signals, a new analyzing method using the HHT improved by harmonic compensation iteration was proposed.The method eliminates the mode mixing by changing the envelope distribution of transient signal, and determines the amplitude and frequency ranges of compensatation harmonic signals according to the characteristic and the frequency range of transient signals.The implementing steps of the method were given, and the verification of the algorithm was conducted.The testing results show that this method can be used to analyze transient power quality signals rapidly and accurately, and it can effectively inhibit mode mixing, improve the decomposition performance.Compared with the HHT method based on standard empirical mode decomposition (EMD) and the HHT method based on ensemble empirical mode decomposition (EEMD), this new method is more accurate, and its decomposition results conform to the actual situation of signals and the physical meaning is clear.
展开▼