| Issue |
E3S Web Conf.
Volume 601, 2025
The 3rd International Conference on Energy and Green Computing (ICEGC’2024)
|
|
|---|---|---|
| Article Number | 00073 | |
| Number of page(s) | 13 | |
| DOI | https://doi.org/10.1051/e3sconf/202560100073 | |
| Published online | 16 January 2025 | |
A comparative analysis of photovoltaic system using three algorithms: P&O, Hill Climbing and Fuzzy Logic
1 Laboratory of Computer Science, Signals, Automatic control and Cognitivism (LISAC), Faculty of science Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, Fes Morocco
2 Laboratory of Electrical Engineering and Intelligent Systems, ENSET Mohammedia, Hassan II University, Morocco
* Corresponding author: yassben204@gmail.com
Photovoltaic solar energy plays a crucial role in our lives, as it provides electricity from the sun, a renewable source. The objective of this paper is to create a comprehensive model of a photovoltaic solar system, representing its various components, with the aim of maximizing power output using a control technique called MPPT (Maximum Power Point Tracking). Additionally, the work involves using algorithms to manage energy within this solar system to optimize power generation. We focus on the following algorithms: Perturb and Observe (A simple and highly responsive algorithm with a quick response that adjusts the voltage), Hill Climbing (It is a simple algorithm to implement and is effective for solving combinatorial problems by adjusting the duty cycle), and fuzzy logic (Using linguistic rules, it is possible to intelligently adjust the parameters, improving the connection between the photovoltaic generator and the load to ensure optimal operation). This work will be conducted using MATLAB/SIMULINK.
Key words: Photovoltaic (PV) / Maximum power point (MPP) / Maximum power point tracking (MPPT) / Perturb and Observe (P&O) / Hill Climbing (HC) / Fuzzy Logic (FL) / Fuzzy Logic Controller (FLC) / DC-DC converter
© The Authors, published by EDP Sciences, 2025
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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