Abstract：With the continuous expansion of the scale of the power system and the widespread use of power electronic equipment, the probem of harmonic polution in the power system has become more and more serious. In order to realize the effective detection of power system harmonics, a harmonic detection method based on the improved Hilbert-Huang transform is proposed. An end capacity effect suppression method based on improved mirror continuationis proposedfirstly, which compares the waveform matching method with the image continuation method. In combination, the problem that the traditional image continuation method needs to truncate the signal to a certain extent, resulting in large errors is solved. At the same time, the full empirical modal decomposition method of adaptive noise is introduced, which effectively solves the problem of modal mixing during empirical modal decomposition, and the problem thatthe overlap effect and the results of ensemble empirical mode decomposition are greatly affected by noise and are prone to produce false modal components. In order to verify the effectiveness of the method proposed in this paper, a harmonic detection experiment and a measured signal harmonic detection experiment are designed. The method proposed in this paper can effectivey track and detect the harmonic signals with discontinuous points, the attenuation of higher harmonics, and the harmonic signals with sudden changes. Based on the method proposed in this paper, a harmonic detection system is developed on the LabVIEW platform, and the result proves the accuracy and effectiveness of the system.
杨逸帆, 赵兵兵, 康迪, 甄景龙, 张维华. 基于改进希尔伯特-黄变换的电力系统谐波检测系统设计[J]. 电气技术, 2022, 23(5): 9-17.
YANG Yifan, ZHAO Bingbing, KANG Di, ZHEN Jinglong, ZHANG Weihua. Design of power system harmonic detection system based on improved Hilbert-Huang transform. Electrical Engineering, 2022, 23(5): 9-17.
2022, Vol. 23 
