Statistical Analysis of Voltage Sag Characteristics and Research on Sag Propagation Property
Xu Yonghai1 Lan Qiaoqian1 Kong Xiangyu2 Hong Wangsong1
1.Departemnt of Electrical and Electronic Engineering North China Electric Power University Beijing 102206 China; 2.Jinshan Power Supply Company SMEPC Shanghai 201500 China
Abstract：In order to assess the voltage sag, analyze its impact on sensitive equipment, and develop effective mitigation measures, the full understanding of the voltage sag characteristics is necessary. However, less research work has been focused on the voltage sag characteristics, and its range and distribution are not well understood currently. In this paper, four problems, i.e. statistical analysis of characteristics, classification study, propagation calculations, and sags calculations on the load side, are researched, which aim to lay the foundation for sags assessment and treatment of the gird and sensitive equipment. Firstly, the ranges and distributions of four characteristics, including magnitude, duration, point on wave of initiation, and phase shift, are presented based on the analysis of massive voltage sag events and waveforms recorded by multiple power quality monitoring systems in China. Secondly, a more generalized voltage sags classification method considering the phase shift is proposed on the basis of original methods. Then the transformers’ effects on the phase shift of various voltage sag types are studied. Finally, to simplify the sags calculation of the load and associated nodes, the superposition calculation methods concerning transforms and lines are proposed, which can treat multiple transforms and load connections and thus improve the research on the propagation characteristics of voltage sags.
徐永海,兰巧倩,孔祥雨,洪旺松. 电压暂降特征值统计分析及暂降传播特性[J]. 电工技术学报, 2016, 31(11): 165-175.
Xu Yonghai Lan Qiaoqian Kong Xiangyu Hong Wangsong. Statistical Analysis of Voltage Sag Characteristics and Research on Sag Propagation Property. Transactions of China Electrotechnical Society, 2016, 31(11): 165-175.
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2016, Vol. 31 
