Enhanced grey wolf optimization for maximum power point tracking in photovoltaic systems with hybrid battery-supercapacitor storage

Enhanced grey wolf optimization for maximum power point tracking in photovoltaic systems with hybrid battery-supercapacitor storage

This paper proposes an enhanced Grey Wolf Optimization algorithm integrated with a stochastic Cauchy-Gaussian mutation to improve maximum power point tracking in standalone photovoltaic systems. The system incorporates a hybrid energy storage solution combining a lithium-ion battery and a supercapac...

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Bibliographic Details
Main Authors: Chirine Benzazah, Najoua Mrabet, Ahmed ElAkkary, Fathallah Rerhrhaye
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:International Journal of Sustainable Energy
Subjects:
Grey Wolf Optimization (GWO)
mutation (Gaussian, Cauchy)
greedy selection
photovoltaic systems (PV)
optimisation algorithms (PSO, ACO)
hybrid storage systems (battery-supercapacitor)
Online Access:https://www.tandfonline.com/doi/10.1080/14786451.2025.2460029
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https://www.tandfonline.com/doi/10.1080/14786451.2025.2460029

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