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

Volume

02

fYear

2013

fDate

16-18 Aug. 2013

Firstpage

1246

Lastpage

1250

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Measurement, Information and Control (ICMIC), 2013 International Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4799-1390-9

Type

conf

DOI

10.1109/MIC.2013.6758185

Filename

6758185