A modified multi-objective particle swarm optimization (M-MOPSO) for optimal sizing of a solar–wind–battery hybrid renewable energy system

A modified multi-objective particle swarm optimization (M-MOPSO) for optimal sizing of a solar–wind–battery hybrid renewable energy system

This study proposes and utilizes a modified multi-objective particle swarm optimization (M-MOPSO) algorithm for the optimal sizing of a solar-wind-battery hybrid renewable energy system for a rural community in Rivers State, Nigeria. Unlike previous studies that primarily focused on minimizing total...

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Bibliographic Details
Main Authors: Ukoima Kelvin Nkalo, Okoro Ogbonnaya Inya, Obi, Patrick Ifeanyi, Akuru Udochukwu Bola, Davidson Innocent Ewean
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Solar Compass
Subjects:
MOPSO
PSO
NGSA-II
Hybrid GA-PSO
Online Access:http://www.sciencedirect.com/science/article/pii/S277294002400016X
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http://www.sciencedirect.com/science/article/pii/S277294002400016X

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