A Collaborative Optimization Approach for Configuring Energy Storage Systems and Scheduling Multi-Type Electric Vehicles Using an Improved Multi-Objective Particle Swarm Optimization Algorithm

Energy storage systems (ESS) and electric vehicles (EVs) play a crucial role in facilitating the grid integration of variable wind and solar power. Despite their potential, achieving coordinated operational optimization between ESS and heterogeneous EV fleets to maintain grid stability under high re...

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Veröffentlicht in:	Processes Jg. 13; H. 5; S. 1343
Hauptverfasser:	Liu, Yirun, Wu, Xiaolong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.05.2025
Schlagworte:	Algorithms Alternative energy sources Automobiles, Electric Carbon Collaboration Costs Efficiency Electric vehicles Electrical loads Energy consumption Energy management systems Energy storage Genetic algorithms Green technology Integration Mathematical optimization Monte Carlo method Monte Carlo simulation Multiple objective analysis Optimization Particle swarm optimization Photovoltaic cells Probabilistic models Renewable resources Scheduling Solar energy Wind Wind power China
ISSN:	2227-9717, 2227-9717
Online-Zugang:	Volltext
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