Conference Article

·2018

Optimal Coordination of EV Charging through Aggregators under Peak Load Limitation Based DR Considering Stochasticity

İbrahim Şengör YTU , Ayşe Kübra Erenoğlu YTU , Ozan Erdinç YTU , Akın Taşçıkaraoğlu YTU , João P. S. Catalào

2018 International Conference on Smart Energy Systems and Technologies (SEST)

Abstract

Demand response (DR) provides enormous opportunities to distribution system operators so as to conduct the power system in a sustainable manner. Due to the increasing penetration of electric vehicles (EV) in the power system, the necessity of enhancing flexibility has gained importance in the charging operation process. With the aid of the smart grid concept and DR programs, more flexible grid operations are provided. In this study, an optimal day-ahead EV charging strategy through electric vehicle parking lots (EVPL) aggregators is intended for the purpose of maximizing the load factor during daily operation. Furthermore, the behavioral uncertainty of EVs and peak load limitation based DR programs are also taken into account in the devised model. In order to reveal the effectiveness of the proposed EVPL aggregator energy management strategy, various case studies are performed, and credible results are reported.

Keywords

News aggregator Demand response Flexibility (engineering) Smart grid Computer science Electric power system Grid Electric vehicle Load profile Automotive engineering Load shifting Load factor Load management Process (computing) Energy management Electricity Operations research Power (physics) Energy (signal processing) Engineering Electrical engineering

Subject Areas

Electric Vehicles and Infrastructure ·Electrical and Electronic Engineering ·Physical Sciences
Advanced Battery Technologies Research ·Automotive Engineering ·Physical Sciences
Smart Grid Energy Management ·Electrical and Electronic Engineering ·Physical Sciences

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