Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)

Research on Photovoltaic Control Strategy Based on Particle Swarm Optimization Algorithm

Authors
Huaizhong Chen
Corresponding Author
Huaizhong Chen
Available Online December 2016.
DOI
https://doi.org/10.2991/mcei-16.2016.104How to use a DOI?
Keywords
PSO; Photovoltaic power; MPPT; Algorithm
Abstract
Aiming at the disadvantage of low accuracy of the photovoltaic maximum power point constant voltage method, a photovoltaic MPPT algorithm based on particle swarm optimization algorithm (PSO)is proposed. Based on the analysis and research of the photovoltaic array maximum power point tracking algorithm, the traditional MPPT control is optimized .When the system deviates from the maximum power point, the particle swarm optimization is used to make the maximum power control, which makes the MPPT to ensure the tracking speed and improve the tracking accuracy. Finally, the algorithm is simulated by Matlab, and the results show that the control system can track the maximum power point quickly.
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Proceedings
2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
978-94-6252-282-4
ISSN
1951-6851
DOI
https://doi.org/10.2991/mcei-16.2016.104How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Huaizhong Chen
PY  - 2016/12
DA  - 2016/12
TI  - Research on Photovoltaic Control Strategy Based on Particle Swarm Optimization Algorithm
BT  - 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
PB  - Atlantis Press
SP  - 504
EP  - 508
SN  - 1951-6851
UR  - https://doi.org/10.2991/mcei-16.2016.104
DO  - https://doi.org/10.2991/mcei-16.2016.104
ID  - Chen2016/12
ER  -