MPPT ALGORITHM BASED ON PARTICLE SWARM OPTIMIZATION WITH NATURAL SELECTION

DOI

10.2991/icmmita-15.2015.339How to use a DOI?

Keywords

non-uniform light; particle swarm optimization; natural selection

Abstract

The output of photovoltaic array under non-uniform light is nonlinear with multi peaks. Since the traditional MPPT algorithm based on particle swarm optimization (PSO) is likely to fall into premature convergence and may work slower in the later iterations, the MPPT method based on improved PSO with natural selection was proposed for the first time in the paper. New algorithm worked by eliminating and replacing the particles with lower fitness during the iterative process and hence the swarm could track better and faster for the maximum point, with less chances of premature convergence. During the MATLAB modeling and simulation, the improved MPPT algorithm could perform better than the traditional PSO method.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yishuang Hu
AU  - Jingyi Lu
AU  - Yue Deng
AU  - Zimu Zhang
PY  - 2015/11
DA  - 2015/11
TI  - MPPT ALGORITHM BASED ON PARTICLE SWARM OPTIMIZATION WITH NATURAL SELECTION
BT  - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 1814
EP  - 1817
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-15.2015.339
DO  - 10.2991/icmmita-15.2015.339
ID  - Hu2015/11
ER  -