articleJournal of Energy StorageMay 2, 2024HYBRID OA

Optimal electric vehicle charging and discharging scheduling using metaheuristic algorithms: V2G approach for cost reduction and grid support

HIHusam I. ShaheenGIGhamgeen Izat RashedBYBo YangJYJun Yang

Changsha University · Wuhan University

Indexed incrossref

Abstract

The adoption of Electric Vehicles (EVs) in the transportation sector is expected to grow significantly in the coming few years. While EVs offer numerous benefits, including being environmentally friendly, energy-efficient, low-noise, and can intelligently interact with smart grids through Vehicle-to-Grid (V2G) technology, their widespread adoption will increase energy demand and present challenges to grid load management. Furthermore, EV users face issues such as charging costs, charging time, access to public charging infrastructure, and more. In this article, we propose an approach utilizing metaheuristic algorithms to schedule the charging and discharging activities of EVs while parking, leveraging V2G…

Citation impact

120
total citations
FWCI
22.82
Percentile
100%
References
37
Citations per year

Authors

4

Topics & keywords

Topics
Keywords
  • Computer science
  • Particle swarm optimization
  • Smart grid
  • Metaheuristic
  • Electric vehicle
  • Vehicle-to-grid
  • Scheduling (production processes)
  • Grid
UN Sustainable Development Goals
  • Affordable and clean energy
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