电力系统保护与控制2025，Vol.53Issue(14)：40-48,9.DOI:10.19783/j.cnki.pspc.241316
基于改进自适应S变换的电能质量扰动实时检测方法
Real time detection method for power quality disturbances based on improved adaptive S-transform
摘要
Abstract
Aiming at the problems of poor real-time performance and low time-frequency resolution in existing detection algorithms for composite power quality disturbances,a real-time power quality disturbance detection method based on improved adaptive S-transform(IAST)is proposed.A globally adaptive Gaussian window is constructed as the kernel function of the IAST,allowing the effective window length and frequency spectrum to adapt dynamically with the detection frequency.This avoids the need for frequent switching of window parameters to improve time-frequency resolution,thereby reducing algorithm complexity.The window parameters are optimized with the objective of enhancing signal energy concentration,ensuring accurate time-frequency positioning of various types of disturbances.An automatic thresholding method is used to determine the dominant frequency points of the actual disturbance signals,which are then subjected to time-frequency transformation to further improve computational efficiency.Simulation and experimental results show that,compared with existing algorithms for detecting composite power quality disturbances,the proposed method offers superior real-time performance,strong time-frequency resolution,and low computational complexity,making it suitable for accurate real-time detection of complex power quality disturbances.关键词
电能质量扰动/自适应高斯窗/时频分析/改进S变换Key words
power quality disturbance/adaptive Gaussian window/time-frequency analysis/improved S-transform引用本文复制引用
位俊明,吕世轩,王伟,郑丽君,刘鑫,胡润泽..基于改进自适应S变换的电能质量扰动实时检测方法[J].电力系统保护与控制,2025,53(14):40-48,9.基金项目
This work is supported by the Natural Science Foundation of Shanxi Province(No.202403021211215 and No.202303021222032). 山西省自然科学基金项目资助(202403021211215,202303021222032) （No.202403021211215 and No.202303021222032）
