• Shabnam Rukhsar
• Ruhi Uzma sheikh
• Pramod Gadge
• Yasmeen Sayeed

In this paper optimal scheduling of EV charging system by using various methods are studied. Uncoordinated charging of large-scale electric vehicles (EVs) will have a negative impact on the secure and economic operation of the power system, especially at the distribution level. Given that the charging load of EVs can be controlled to some extent, research on the optimal charging control of EVs has been extensively carried out. In this paper, two possible smart charging scenarios are studied: centralized optimal charging operated by an aggregator and decentralized optimal charging managed by individual users. Under the assumption that the aggregators and individual users only concern the economic benefits, new load peaks will arise under time of use (TOU) pricing which is extensively employed To solve this problem, a simple incentive mechanism is proposed for centralized optimal charging while a rolling-update pricing scheme is devised for decentralized optimal charging. The original optimal charging models are modified to account for the developed schemes. Simulated tests corroborate the efficacy of optimal scheduling for charging EVs in various scenarios

Aggregators, optimal, overloading, electric vehicles

"Optimal scheduling of EV charging system", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.345-351, May-2019, Available :http://www.jetir.org/papers/JETIRBV06077.pdf

"Optimal scheduling of EV charging system", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp345-351, May-2019, Available at : http://www.jetir.org/papers/JETIRBV06077.pdf