A Stochastic Model Based on Markov Chain to Support Vehicle-to-Grid (V2G) Operation in Smart Distribution Network

Hampannavar, S and Yaragatti, UR and Chavhan, S (2019) A Stochastic Model Based on Markov Chain to Support Vehicle-to-Grid (V2G) Operation in Smart Distribution Network. In: International Journal of Emerging Electric Power Systems, 20 (3).

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Abstract

In this paper a multiagent based communication framework for gridable electric vehicle (GEV) aggregation in power distribution network is proposed. Also, multi objective optimization is presented for the minimization of power losses and maximization of voltage. Furthermore multiagent system (MAS) based analytical model is proposed for GEV aggregation. Comprehensive case studies are conducted on IEEE 33 and 69 bus test distribution systems using MATLAB and it is observed that the timely and optimal placement of GEV aggregation in distribution network using multiagent communication (MAC) will lead to reduction in power losses and improvement in voltage profile. MATLAB and MOBILE C were used for the simulation studies and results demonstrate significant benefits of GEV aggregation in distribution network.

Item Type:	Journal Article
Publication:	International Journal of Emerging Electric Power Systems
Publisher:	De Gruyter
Additional Information:	The copyright for this article belongs to De Gruyter.
Keywords:	Analytical models; Demand side management; Electric power distribution; Electric utilities; Markov processes; MATLAB; Multi agent systems; Multiobjective optimization; Stochastic systems; Vehicle-to-grid; Vehicles, Communication framework; Distribution systems; Multi-agent communications; Optimal placements; Power distribution network; Simulation studies; Smart distribution networks; Support vehicles, Stochastic models
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	17 Nov 2022 06:02
Last Modified:	17 Nov 2022 06:02
URI:	https://eprints.iisc.ac.in/id/eprint/77961

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