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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EDP Sciences
2025-01-01
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| Series: | E3S Web of Conferences |
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| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00073.pdf |
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| author | Benkirane Yassine Benhala Bachir Raihani Abdelhadi |
| author_facet | Benkirane Yassine Benhala Bachir Raihani Abdelhadi |
| author_sort | Benkirane Yassine |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-be04d8002a564306bfe32fdf4ee3a24c |
| institution | Kabale University |
| issn | 2267-1242 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj-art-be04d8002a564306bfe32fdf4ee3a24c2025-02-05T10:46:25ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016010007310.1051/e3sconf/202560100073e3sconf_icegc2024_00073A comparative analysis of photovoltaic system using three algorithms: P&O, Hill Climbing and Fuzzy LogicBenkirane Yassine0Benhala Bachir1Raihani Abdelhadi2Laboratory of Computer Science, Signals, Automatic control and Cognitivism (LISAC), Faculty of science Dhar El Mahraz, Sidi Mohamed Ben Abdellah UniversityLaboratory of Computer Science, Signals, Automatic control and Cognitivism (LISAC), Faculty of science Dhar El Mahraz, Sidi Mohamed Ben Abdellah UniversityLaboratory of Electrical Engineering and Intelligent Systems, ENSET Mohammedia, Hassan II UniversityPhotovoltaic 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00073.pdfphotovoltaic (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 |
| spellingShingle | Benkirane Yassine Benhala Bachir Raihani Abdelhadi A comparative analysis of photovoltaic system using three algorithms: P&O, Hill Climbing and Fuzzy Logic E3S Web of Conferences 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 |
| title | A comparative analysis of photovoltaic system using three algorithms: P&O, Hill Climbing and Fuzzy Logic |
| title_full | A comparative analysis of photovoltaic system using three algorithms: P&O, Hill Climbing and Fuzzy Logic |
| title_fullStr | A comparative analysis of photovoltaic system using three algorithms: P&O, Hill Climbing and Fuzzy Logic |
| title_full_unstemmed | A comparative analysis of photovoltaic system using three algorithms: P&O, Hill Climbing and Fuzzy Logic |
| title_short | A comparative analysis of photovoltaic system using three algorithms: P&O, Hill Climbing and Fuzzy Logic |
| title_sort | comparative analysis of photovoltaic system using three algorithms p o hill climbing and fuzzy logic |
| topic | 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 |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00073.pdf |
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