Markov chain based stochastic model of electric vehicle parking lot occupancy in vehicle-to-grid

Please use this identifier to cite or link to this item: https://idr.nitk.ac.in/jspui/handle/123456789/8623

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DC Field	Value	Language
dc.contributor.author	Kumar, S.
dc.contributor.author	Udaykumar, R.Y.
dc.date.accessioned	2020-03-30T10:22:29Z	-
dc.date.available	2020-03-30T10:22:29Z	-
dc.date.issued	2016
dc.identifier.citation	2015 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2015, 2016, Vol., , pp.-	en_US
dc.identifier.uri	http://idr.nitk.ac.in/jspui/handle/123456789/8623	-
dc.description.abstract	The concept of connecting group of electric vehicles (EVs) to the grid for power transaction is known as Vehicle-to-Grid (V2G). The EVs can be connected to the grid through V2G integrators and charging slots. The arrival of EVs in parking lot is time varying and random in nature and facilitating them to participate in power transaction is challenging and aggregator's responsibility. In this paper, development of Markov chain based stochastic model of Electric Vehicle Parking Lot (EVPL) occupancy is proposed. A developed model is simulated using MATLAB and the results are presented. � 2015 IEEE.	en_US
dc.title	Markov chain based stochastic model of electric vehicle parking lot occupancy in vehicle-to-grid	en_US
dc.type	Book chapter	en_US
Appears in Collections:	2. Conference Papers

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