A Voltage Sag Detection Method Based on Modified S Transform With Digital Prolate Spheroidal Window
Jianmin Li, Yuxiang Yang, Haijun Lin, Zhaosheng Teng, Fu Zhang, Yong Xu
Abstract
Voltage sag is one of the most prominent power quality problems in the electric power system. Accurate estimation of voltage sag parameters is an important reference for electric utilities and users to evaluate power quality. In this paper, a novel algorithm based on modified S transform with digital prolate spheroidal window (DPSW) is proposed to achieve accurate detection of voltage sag. The DPSW and its time-frequency characteristics are firstly detailed. Then, the construction and performance of modified S transform with DPSW are given. Since DPSW has superior time-frequency distribution, characteristics of voltage sag signal, such as sag depth, duration, and phase jump, can be obtained by analyzing the two-dimensional complex matrix after the modified S transform with DPSW. Simulation and experimental results verify the accuracy and validity of the proposed algorithm.