MPPT ALGORITHM BASED ON PARTICLE SWARM OPTIMIZATION WITH NATURAL SELECTION
- 10.2991/icmmita-15.2015.339How to use a DOI?
- non-uniform light; particle swarm optimization; natural selection
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.
- © 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/).
Cite this article
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 -