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Title	Stochastic Analysis Of Regenerative Braking Energy Of Urban Transportation System Associated With Plug-In Electrical Vehicle In Smart City
ID_Doc	53046
Authors	Papari B.; Edrington C.S.; Ozkan G.; Hoang; Bader P.R.
Year	2021
Published	2021 IEEE 4th International Conference on DC Microgrids, ICDCM 2021
DOI	http://dx.doi.org/10.1109/ICDCM50975.2021.9504630
Abstract	Existing distribution systems have had to adapt in response to improving for better-supporting consumers in smart cities. This digest focuses on optimal operation control strategies considering plug-in electric vehicles (PEVs) and subway systems. In this digest, linear programming is proposed for the optimization algorithm by applying regenerative braking energy (RBE). The proposed problem optimizes the energy's total cost considering both vehicles to grid (V2G) and vehicle to subway (V2S) technology. Besides, a stochastic framework is used to model the uncertainty of PEVs, load, and distributed energy resources (DERs). The feasibility of the proposed method is examined in a fictional smart city. © 2021 IEEE.
Author Keywords	Control and energy management; Regenerative braking energy; Smart Cities; Stochastic analysis; Vehicle to subway; Vehicles to grid

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