An Improved Artificial Jellyfish Search Optimizer for Parameter Identification of Photovoltaic Models

An Improved Artificial Jellyfish Search Optimizer for Parameter Identification of Photovoltaic Models

The optimization of photovoltaic (PV) systems relies on the development of an accurate model of the parameter values for the solar/PV generating units. This work proposes a modified artificial jellyfish search optimizer (MJSO) with a novel premature convergence strategy (PCS) to define effectively t...

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Bibliographic Details
Main Authors: Mohamed Abdel-Basset, Reda Mohamed, Ripon K. Chakrabortty, Michael J. Ryan, Attia El-Fergany
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Energies
Subjects:
artificial jellyfish search optimizer
premature convergence strategy
solar systems
performance measures
PV modules
Online Access:https://www.mdpi.com/1996-1073/14/7/1867

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https://www.mdpi.com/1996-1073/14/7/1867

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