电力系统保护与控制2024，Vol.52Issue(9)：1-15,15.DOI:10.19783/j.cnki.pspc.231456
基于拐点密集区凹凸波动特性的直流配网故障检测方法
A DC distribution network fault detection method based on bump fluctuation at a dense inflection point
摘要
Abstract
Flexible DC distribution networks based on a modular multilevel converter(MMC)have the advantage of no commutation failure.However,because of low inertia,weak damping and other characteristics of the converter,the fault current rises quickly and has a high peak,which is extremely harmful to the system.It is difficult to accurately select the fault feeder when a single-pole ground fault occurs in the DC distribution network.Thus a fault detection method for a DC distribution network based on the fluctuation characteristics of concavity and convexity(FCCC)of the inflection point dense area(IPDA)is proposed.First,a variational mode decomposition algorithm is used to decompose the zero-mode current of each feeder and select the feature components.Then,the second derivative of the feature component is calculated,the IPDA is selected,and the normalization process is carried out to obtain the FCCC of each feeder.Finally,the feeders that are different from the other feeders of the FCCC are determined to be faulty feeders.Simulation results show that the proposed method can quickly identify faulty feeders,and is less affected by factors such as transition resistance,sampling frequency,data window and noise.关键词
故障检测/单极接地故障/零模电流/拐点密集区/凹凸波动性Key words
fault feeder selection/single-pole ground fault/zero mode current/inflection point dense area/fluctuation characteristics of concave and convexity引用本文复制引用
王晓卫,田影,高杰,王雪,梁振锋,王毅钊..基于拐点密集区凹凸波动特性的直流配网故障检测方法[J].电力系统保护与控制,2024,52(9):1-15,15.基金项目
This work is supported by the National Natural Science Foundation of China(No.52177114 and No.61403127). 国家自然科学基金项目资助(52177114,61403127) （No.52177114 and No.61403127）
国网陕西省电力有限公司科技项目资助(5226KY23001C) （5226KY23001C）
