Detection and Classification of Power Quality Disturbances in Distribution Networks Based on VMD and DFA  

作　　者：Yanchun Xu Yongkang Gao Zhenhua Li Mi Lu 

机构地区：[1]China Three Gorges University,College of Electrical Engineering and New Energy,Yichang,China [2]Texas A&M University,College of Electrical and Computer Engineering,Texas,USA

出　　处：《CSEE Journal of Power and Energy Systems》2020年第1期122-130,共9页中国电机工程学会电力与能源系统学报（英文）

基　　金：This work was supported by China Scholarship Council and National Natural Science Foundation of China(Grant Number 51507091)。

摘　　要：In this paper,a novel algorithm is proposed to detect and classify the power quality(PQ)disturbances for distribution networks with distributed generation.First,a distribution system with photovoltaic and wind power generation is built as a test platform.Then,nine types of power quality disturbances in the distribution network are decomposed by variational mode decomposition(VMD)and the noise is filtered.Meanwhile,the mode functions containing characteristic information are extracted as input signals of detrended fluctuation analysis(DFA).Power quality disturbances are classified from the view of their distributed energy operational status,and three types of windows are set up to deal with different frequency disturbances.The two-dimensional and three-dimensional scatter plots of each type under three windows are depicted,and the criteria are determined to distinguish the disturbances under the different operating conditions.The simulations show that the algorithm is simpler,more accurate and feasible.It provides an approach for online real-time detection of embedded systems.

关 键 词：Detrended fluctuation analysis distribution network power quality variational mode decomposition 

分 类 号：TM711[电气工程—电力系统及自动化]