A comparative analysis of photovoltaic system using three algorithms: P&O, Hill Climbing and Fuzzy Logic
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...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
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| Series: | E3S Web of Conferences |
| Subjects: | |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00073.pdf |
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| Summary: | 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. |
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| ISSN: | 2267-1242 |