Grid Impedance Estimation Based on Particle Swarm Optimization
The estimation of grid impedance can be used to improve the control performance of the grid-connected inverter in distributed power generation systems and to achieve islanding detection simultaneously.Particle swarm optimization(PSO)algorithm has been widely studied in parameter identification since it converges fast and has few parameters to be set.The paper proposes a grid impedance estimation method based on PSO.First,the paper establishes the grid impedance equivalent model and introduces the theory of PSO briefly,then it describes the principle of the method to estimate grid impedance,and finally,simulations and analyses of the grid impedance estimation using successive iteration method and PSO algorithm are carried out.Simulation results show that: grid impedance estimation using PSO has higher accuracy with shorter time.
distributed generation grid impedance estimation successive iteration method particle swarm optimization
Kewen Lin Fei Xiao Guisheng Jie
National Key Laboratory for Vessel Integrated Power System Technology,Naval University of Engineering Wuhan,China
国际会议
重庆
英文
573-576
2017-03-25（万方平台首次上网日期，不代表论文的发表时间）