Title :
Improvement of fuzzy controller with maximum power point tracking technology
Author :
Liu Wei ; Shi Jing
Author_Institution :
Sch. of Electr. Inf. Eng., Northeast Pet. Univ., Daqing, China
Abstract :
This paper presents implementation of particle swarm optimization (PSO) algorithm as S function. The calculation method is used to improve the function of the fuzzy logic controller (FLC), to make it work at the maximum power point. The proposed method was verified using simulation in MATLAB/Simulink. The results show that the optimized FLC gives a better performance compared to traditional method on maximum power point tracking (MPPT). The method is applied to photovoltaic grid, So that the grid system to stabilize.
Keywords :
fuzzy control; maximum power point trackers; optimal control; particle swarm optimisation; photovoltaic power systems; power grids; power system control; FLC; MATLAB; MPPT; PSO algorithm; S function; Simulink; fuzzy logic controller; grid system; maximum power point tracking technology; particle swarm optimization; photovoltaic grid; Integrated circuit modeling; MATLAB; Niobium; Particle swarm optimization; Distributed generation; Fuzzy logic controll; MPPT; Particle swarm algorith;
Conference_Titel :
Measurement, Information and Control (ICMIC), 2013 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4799-1390-9
DOI :
10.1109/MIC.2013.6758185
