| Issue |
E3S Web Conf.
Volume 354, 2022
International Energy2021-Conference on “Renewable Energy and Digital Technologies for the Development of Africa”
|
|
|---|---|---|
| Article Number | 02008 | |
| Number of page(s) | 9 | |
| Section | Sustainable Electricity Systems and Applications | |
| DOI | https://doi.org/10.1051/e3sconf/202235402008 | |
| Published online | 13 July 2022 | |
Duty cycle modulation - fuzzy logic technique to track the maximum power point of a solar-wind hybrid Source
1 Laboratory of Computer Science Engineering and Automation, Higher Normal School of Technical Education of Douala, University of Douala, Po Box 2701 Douala, Cameroon
2 Laboratory of Energy, Materials, Modelling and Methods, National Higher Polytechnic School of Douala, University of Douala, Po Box 2701 Douala, Cameroon
* Corresponding author: charleshubert.kom@gmail.com
In this article, we propose a strategy for finding the maximum power point (MPP) of a hybrid plant (solar and wind), in order to maximize the power extracted from this production plant. This strategy exploits the perturbation and observation method, based on fuzzy logic coupled with the Duty Cycle Modulator (DCM). The main objective of this study is to extract the maximum power from this hybrid power plant, while ensuring the precision and speed of convergence towards this point of maximum power. This method, tested under the Matlab / Simulink environment for a 160 kW hybrid power plant, gave results that we compared to those obtained with the Fuzzy - PWM (Pulse Width Modulator) strategy. It emerges that the Fuzzy-DCM strategy gives better precision (around 2.6 times) and a speed (around 2 times) of convergence compared to the Fuzzy-PWM strategy.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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