The role of computational intelligence techniques in the advancements of solar photovoltaic systems for sustainable development: a review

<p>The use of computational intelligence (CI) in solar photovoltaic (SPV) systems has been on the rise due to the increasing computational power, advancements in power electronics and the availability of data generation tools. CI techniques have the potential to reduce energy losses, lower ene...

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Bibliographic Details
Main Authors: Ranganai Tawanda Moyo, Mendon Dewa
Format: Article
Language:English
Published: Academy Publishing Center 2022-12-01
Series:Renewable Energy and Sustainable Development
Subjects:
Online Access:http://apc.aast.edu/ojs/index.php/RESD/article/view/535
Description
Summary:<p>The use of computational intelligence (CI) in solar photovoltaic (SPV) systems has been on the rise due to the increasing computational power, advancements in power electronics and the availability of data generation tools. CI techniques have the potential to reduce energy losses, lower energy costs, and facilitate and accelerate the global adoption of solar energy. In this context, this review paper aims to investigate the role of CI techniques in the advancements of SPV systems. The study includes the involvement of CI techniques for parameter identification of solar cells, PV system sizing, maximum power point tracking (MPPT), forecasting, fault detection and diagnosis, inverter control and solar tracking systems. A performance comparison between CI techniques and conventional methods is also carried out to prove the importance of CI in SPV systems. The findings confirmed the superiority of CI techniques over conventional methods for every application studied and it can be concluded that the continuous improvements and involvement of these techniques can revolutionize the SPV industry and significantly increase the adoption of solar energy.</p><p> </p><p><strong>Received: 02 November 2022 </strong></p><p><strong>Accepted: 25 November 2022 </strong></p><p><strong>Published: 05 December 2022</strong></p>
ISSN:2356-8518
2356-8569