Multi‐Objective Particle Swarm Optimization Algorithm for Optimal Placement of Electric Vehicle Charging Stations in Distribution System

ABSTRACT Renewable energy sources, such as wind, solar, biomass, hydropower, and geothermal power, have a relatively minor environmental impact compared to nonrenewable sources and are sustainable over the long term. However, the variable nature of renewable energy production and the load demands of...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Energy science & engineering Jg. 13; H. 10; S. 4991 - 5007
Hauptverfasser:	Hsu, Chou‐Yi, Ved, Amit, Ezhilarasan, G., Yadav, Anupam, Rameshbabu, A., Alkhayyat, Ahmad, Aulakh, Damanjeet, Choudhury, Satish, Sunori, S. K., Khorasaninasab, Atabak
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London John Wiley & Sons, Inc 01.10.2025 Wiley
Schlagworte:	Algorithms Alternative energy sources charging stations Costs Demand side management Discharge distribution systems Effectiveness Electric potential Electric power loss Electric vehicle charging Electric vehicle charging stations Electric vehicles Electricity distribution Energy distribution Energy management Environmental impact Genetic algorithms Geothermal energy Geothermal power Heuristic methods Hybrid electric vehicles Hydroelectric power Infrastructure Marginal pricing MPSO algorithm Objective function Optimization Optimization models Particle swarm optimization Placement power losses Renewable energy sources Renewable resources Smart grid technology Solar energy Voltage Wind power
ISSN:	2050-0505, 2050-0505
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!