Demand Side Management of Electric Vehicles in Smart Grids: A survey on strategies, challenges, modeling, and optimization
Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence
Electrical and electronic engineering, Automation and control systems
The shift of transportation technology from internal combustion engine (ICE) based vehicles to electricvehicles (EVs) in recent times due to their lower emissions, fuel costs, and greater efficiency hasbrought EV technology to the forefront of the electric power distribution systems due to theirability to interact with the grid through vehicle-to-grid (V2G) infrastructure. The greater adoptionof EVs presents an ideal use-case scenario of EVs acting as power dispatch, storage, and ancillaryservice-providing units. This EV aspect can be utilized more in the current smart grid (SG) scenarioby incorporating demand-side management (DSM) through EV integration. The integration of EVswith DSM techniques is hurdled with various issues and challenges addressed throughout thisliterature review. The various research conducted on EV-DSM programs has been surveyed. This reviewarticle focuses on the issues, solutions, and challenges, with suggestions on modeling the charginginfrastructure to suit DSM applications, and optimization aspects of EV-DSM are addressed separatelyto enhance the EV-DSM operation. Gaps in current research and possible research directions have beendiscussed extensively to present a comprehensive insight into the current status of DSM programsemployed with EV integration. This extensive review of EV-DSM will facilitate all the researchersto initiate research for superior and efficient energy management and EV scheduling strategies andmitigate the issues faced by system uncertainty modeling, variations, and constraints.
Mohanty, S., Panda, A. & Mohan Parida, S. (2022). Demand Side Management of Electric Vehicles in Smart Grids: A survey on strategies, challenges, modeling, and optimization. Energy Reports, vol. 8, pg. 12466-12490. doi:10.1016/j.egyr.2022.09.023