Comprehensive Analysis of Multi-Objective Optimization Algorithms for Sustainable Hybrid Electric Vehicle Charging Systems

This study presents a multi-objective optimization approach for designing hybrid renewable energy systems for electric vehicle (EV) charging stations that considers both economic and reliability factors as well as seasonal variations in energy production and consumption. Four algorithms, MOPSO, NSGA...

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Vydáno v:	Mathematics (Basel) Ročník 11; číslo 7; s. 1741
Hlavní autoři:	Alshammari, Nahar F., Samy, Mohamed Mahmoud, Barakat, Shimaa
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.04.2023
Témata:	Algorithms Convergence Decomposition Design factors diversity efficiency Electric vehicle charging Electric vehicles Emissions Energy storage Genetic algorithms Hybrid electric vehicles hybrid EV charging system Hybrid systems Lithium-ion batteries Mathematical optimization Methods multi-objective optimization Multiple objective analysis optimal design Optimization Rechargeable batteries Reliability aspects Renewable energy Robustness Seasonal variations Sustainable development Urban areas Wind turbines Saudi Arabia
ISSN:	2227-7390, 2227-7390
On-line přístup:	Získat plný text
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