浙江电力2024，Vol.43Issue(8)：1-11,11.DOI:10.19585/j.zjdl.202408001
基于SVD-ILMD的暂态电能质量扰动定位检测方法
A location and detection method for transient power quality disturbance using SVD-ILMD
摘要
Abstract
Swiftly and accurately analyze non-stationary disturbance signals within the power grid,a location and de-tection method for transient power quality disturbance that combines singular value decomposition(SVD)and im-proved local mean decomposition(ILMD)is proposed.First,noise information is processed by using ILMD and a fuzzy membership function threshold to mitigate noise interference.Then,a difference signal is formulated,and a sliding window SVD is employed to amplify the disturbance features while further suppressing noise interference.In conclusion,an adaptive threshold truncation-based approach for localizing and detecting transient power quality dis-turbances is proposed,utilizing the feature-enhanced signal.Simulation analysis and algorithm comparisons confirm that the proposed method exhibits precise location,robust resistance to noise,and low computational complexity.Moreover,it demonstrates excellent performance in detecting zero-crossing and minor disturbances.关键词
暂态电能质量/扰动定位检测/差值信号/奇异值分解/局部均值分解Key words
transient power quality/disturbance location and detection/difference signal/SVD/LMD引用本文复制引用
程江洲,张志强,闫冉阳,李小来,谢卓然,胡哲豪..基于SVD-ILMD的暂态电能质量扰动定位检测方法[J].浙江电力,2024,43(8):1-11,11.基金项目
国家自然科学基金(52277012) （52277012）
