Multi-Objective Stochastic Techno-Economic-Environmental Optimization of Distribution Networks with G2V and V2G Systems

Seyed Ehsan Ahmadi, S. Mahdi Kazemi-Razi, Mousa Marzband*, Augustine Ikpehai, Abdullah Abusorrah

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)
12 Downloads (Pure)

Abstract

Plug-in electric vehicles (PEVs) are one of the most promising technologies for decarbonizing the transportation sector towards the global Net-zero target. However, charging/discharging of PEVs impacts the electricity network's stability, increases the operating costs, and affects the voltage profile. This paper proposes a flexible multi-objective optimization approach to evaluate and deploy vehicle-to-grid and grid-to-vehicle technologies considering techno-economical and environmental factors. Furthermore, life cycle of PEV batteries, charging/discharging pattern, and driving behaviours of the PEV owners are considered. The simulations are run over a modified IEEE 69-bus radial distribution test system to minimize two objective functions including the operating costs and CO 2 emissions using the heuristic-based Firefly Algorithm in a stochastic optimization framework considering renewable generations, load consumption, and charging/discharging timing of PEVs as the uncertain parameters. The results demonstrate significant reductions in the operating costs and CO 2 emissions, and the voltage profile of the network is improved properly. Besides, by implementing the discharging facility of PEVs in the network, the PEV owners save a considerable amount in operating costs.

Original languageEnglish
Article number109195
Number of pages15
JournalElectric Power Systems Research
Volume218
Early online date14 Feb 2023
DOIs
Publication statusPublished - 1 May 2023

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