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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.