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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Veröffentlicht in:	Mathematics (Basel) Jg. 11; H. 7; S. 1741
Hauptverfasser:	Alshammari, Nahar F., Samy, Mohamed Mahmoud, Barakat, Shimaa
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.04.2023
Schlagworte:	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
Online-Zugang:	Volltext
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