Taking a low-voltage distribution station area considering distributed power and nonlinear load as an example,three sign decomposition techniques including empirical mode decomposition,ensemble empirical mode decomposition and intrinsic time decomposition(ITD)are used to analyze and compare the voltage quality of the station area,and the power quality events including voltage sag and nonlinear load input are identified and classified,while comparison is carried out on its classification accuracy.The results show that the three signal decomposition techniques are available to represent the occurrence of various power quality events,and the decomposed modal features are of high classification accuracy.Compared with the other two techniques,intrinsic time decomposition features higher classification accuracy.
关键词
低压配电台区/分布式电源/非线性负荷/电压质量/信号分解技术
Key words
low-voltage distribution station area/distributed power/nonlinear load/voltage quality/signal decomposition technique
维普
万方数据