Improved method of tracking the maximum power point for photovoltaic system

Author

Wang, Xindi ; Sun, Yukun ; Wang, Xince

Author_Institution

Sch. of Electron. Inf. Eng., Jiangsu Univ., Zhenjiang, China

fYear

2011

fDate

15-17 July 2011

Firstpage

6575

Lastpage

6578

Abstract

On the basis of analyzing the principle of perturb and observe algorithm and incremental conductance algorithm which are the traditional algorithm of the maximum power point tracking, a new MPPT algorithm based on bee evolution modifying particle swarm optimization (BEMPSO) combined with perturbation and observation or incremental conductance control is proposed. Simulation of the algorithm based on Matlab is carried out. Experimental results show that the two methods is a successful and feasible approach to achieve the maximum power point tracking under bad conditions.

Keywords

maximum power point trackers; particle swarm optimisation; photovoltaic power systems; BEMPSO; MPPT algorithm; Matlab; bee evolution modifying particle swarm optimization; maximum power point; photovoltaic system; Algorithm design and analysis; Arrays; Companies; Current supplies; Educational institutions; Particle swarm optimization; Photovoltaic cells; bee evolution modifying particle swarm optimization (BEMPSO); incremental conductance algorithm; maximum power point tracking; perturb and observe algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on

Conference_Location

Hohhot

Print_ISBN

978-1-4244-9436-1

Type

conf

DOI

10.1109/MACE.2011.5988551

Filename

5988551