摘要
针对直流配电网电能质量扰动问题,构建了基于特征量的相关原子库,提出了基于相关原子库的粒子群优化匹配追踪算法。分析了直流电网电能质量问题产生机理,构建了描述直流电能质量扰动的相关原子库,采用粒子群优化匹配追踪算法进行原子分解,建立了算法流程。算例验证了本文所提出算法能够准确检测直流配电网电能质量扰动,有效降低原子算法计算量并具有一定的抗干扰能力。
For power quality disturbance problems in the DC distribution network,the coherent atom dictionary based on characteristic quantity is constructed.A Particle Swarm Optimization-Matching Pursuit algorithm base on coherent atom dictionary is presented in this paper.The DC voltage transit process is analyzed.The coherent atom dictionary of the DC power quality disturbance is constructed.The atomic decomposition is achieved by using particle swarm optimization-matching pursuit method.The characteristic quantity of the atom and the algorithm flow are also presented in this paper.Examples demonstrate the algorithm presented in this paper can reduce the computation load.This algorithm has a certain anti-interference ability,and can accurately detect the DC power quality disturbance.
作者
朱晓岭
高云辉
谢小英
焦晋荣
贾清泉
ZHU Xiaoling;GAO Yunhui;XIE Xiaoying;JIAO Jinrong;JIA Qingquan(Qinhuangdao Power Supply Company,State Grid Jibei Electric Power Company Limited,Qinhuangdao,Hebei 066000,China;Key Lab of Power Electronics for Energy Conservation and Motor Drive of Hebei Province,Yanshan University, Qinhuangdao,Hebei 066004,China)
出处
《燕山大学学报》
CAS
北大核心
2018年第5期400-408,421,共10页
Journal of Yanshan University
基金
国家自然科学基金资助项目(51477147)
