| Issue |
ITM Web Conf.
Volume 43, 2022
The International Conference on Artificial Intelligence and Engineering 2022 (ICAIE’2022)
|
|
|---|---|---|
| Article Number | 01011 | |
| Number of page(s) | 7 | |
| DOI | https://doi.org/10.1051/itmconf/20224301011 | |
| Published online | 14 March 2022 | |
Benchmarking of the Conductance Increment Method and its improved versions
Laboratory of Materials and Renewable Energies, University Ibn Zohr, 80000 Agadir, Morocco
* Isknan Ismail. Email: ismail.isknan@edu.uiz.ac.ma
To increase the performance of a photovoltaic (PV) system, a circuit using MPPT (Maximum Power Point Tracking) technology must be used. There are several algorithms proposed in the literature and they need to be compared to select the best performing MPPT technology for a specific application or to make recommendations for future MPPT research. This article presents a benchmarking the most widely used MPPT algorithms, namely the “INC_C” (Classical Incremental Conductance), the “INC_AM” (Modified Adaptive Incremental Conductance). The comparative study presented in this work will confirm that “INC_AM≫ is the best MPPT technique to improve the efficiency of a PV system.
Key words: solar panel / energy / photovoltaic / MPPT technic / Conductance Increment
© 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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