Multi-objective optimal allocation of renewable distributed generation units in a distribution network under high penetration of plug-in hybrid electric vehicles

This paper presents a novel multi-objective framework for efficiently allocating renewable distribution generation (RDG) in electric distribution systems (EDSs) amidst high plug-in hybrid electric vehicle (PHEV) penetration. The study incorporates a practical PHEV demand model considering various st...

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Vydané v:	Electrical engineering Ročník 107; číslo 5; s. 6075 - 6097
Hlavní autori:	Sankar, Matta Mani, Chatterjee, Kalyan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2025 Springer Nature B.V
Predmet:	Algorithms Costs Decision making Distributed generation Economics and Management Electric power demand Electric vehicles Electrical Engineering Electrical Machines and Networks Energy Policy Engineering Hybrid electric vehicles Multiple objective analysis Objectives Optimization Optimization algorithms Optimization techniques Original Paper Pareto optimum Power Electronics System effectiveness Vehicle-to-grid Plug-in hybrid electric vehicle (PHEV) Technique for order preference by similarity to the ideal solution (TOPSIS) Distributed generation (DG) Electric distribution system Multi-objective artificial hummingbird algorithm (MOAHA)
ISSN:	0948-7921, 1432-0487
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