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Electric Vehicle Traffic Pattern Analysis and Prediction in Aggregation Regions/Parking Lot Zones to Support V2G Operation in Smart Grid: A Cyber-Physical System Entity
S. Hampannavar, , S. Mansani, U.R. Yaragatti
Published in De Gruyter
2020
Volume: 21
   
Issue: 1
Abstract
In this paper mathematical model for traffic pattern analysis, prediction and resource utilization of Electric Vehicles (EV) in aggregator regions/parking lot zones is proposed. The proposed and presented mathematical model for EV traffic pattern/resource utilization in smart city can be used to estimate the amount of power/voltage available/required by EVs in different aggregator regions. Development of multiagent communication (MAC) based framework for aggregator to EV communication is discussed. V2G aggregation in distribution network forms a Physical part and utility side with sensing/communication forms a Cyber part which combinedly constitutes a Cyber-Physical system. Simulations were carried out on IEEE 33/69 bus test systems using MATLAB and MOBILE C was used for MAC. The results obtained were promising in terms of improved voltage profile and reduced power losses. © 2020 Walter de Gruyter GmbH, Berlin/Boston 2020.
About the journal
JournalData powered by TypesetInternational Journal of Emerging Electric Power Systems
PublisherData powered by TypesetDe Gruyter
ISSN21945756