Maximum Power Point Tracking of PV Systems under Partial Shading Conditions Based on Opposition-Based Learning Firefly Algorithm

Maximum Power Point Tracking of PV Systems under Partial Shading Conditions Based on Opposition-Based Learning Firefly Algorithm

This work presents an alternative to the conventional photovoltaic maximum power point tracking (MPPT) methods, by using an opposition-based learning firefly algorithm (OFA) that improves the performance of the Photovoltaic (PV) system both in the uniform irradiance changes and in partial shading co...

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Bibliographic Details
Main Authors: Ahmed G. Abo-Khalil, Walied Alharbi, Abdel-Rahman Al-Qawasmi, Mohammad Alobaid, Ibrahim M. Alarifi
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sustainability
Subjects:
maximum power point tracking
bio-inspired algorithms
firefly algorithm
Online Access:https://www.mdpi.com/2071-1050/13/5/2656

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