Volume 4, Issue 1, June 2018, Page: 45-49
MPPT Control Method for Photovoltaic System Based on Particle Swarm Optimization and Bacterial Foraging Algorithm
Zhiguo Zhu, Department of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan, China
Guowei Liu, Department of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan, China
Received: Apr. 12, 2018;       Accepted: Apr. 27, 2018;       Published: May 19, 2018
DOI: 10.11648/j.ijecec.20180401.15      View  984      Downloads  116
Abstract
The P-V output feature of photovoltaic (PV) array presents multi-wave peaks under non-uniform illumination, so the traditional algorithm can not overcome the shortcomings of the local optimal value. In this paper, an optimization algorithm based on particle swarm and bacteria foraging is proposed, which is applied to the maximum power point tracking (MPPT) of PV arrays. The algorithm introduces the tendency operation to find the optimal solution in the local range. The replication operation is introduced to avoid the blind randomness of population update, and the convergence speed of the algorithm is accelerated. The migration operation is introduced to avoid the algorithm falling into the local optimal solution. The output power characteristics of PV array under occlusion are analyzed, and the MPPT control method experiment is carried out using bacterial foraging algorithm (BFA). Experimental results show that the algorithm can get rid of the constraint of local optimal value, quickly find the global maximum power point, and the control precision is high. It provides a new implementation method for PV array MPPT.
Keywords
PV Array, MPPT, PSO, BFA, Partial Shadow
To cite this article
Zhiguo Zhu, Guowei Liu, MPPT Control Method for Photovoltaic System Based on Particle Swarm Optimization and Bacterial Foraging Algorithm, International Journal of Electrical Components and Energy Conversion. Vol. 4, No. 1, 2018, pp. 45-49. doi: 10.11648/j.ijecec.20180401.15
Copyright
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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