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

• Type: Article in International Conference Proceedings Book
• Date: 2018

Authors

Ibrahim Sengor (Author) Other; Ayse Kübra Erenoglu (Author) Other; Ozan Erdinc (Author) Other; Akin Tascikaraoglu (Author) Other; João P. S. Catalão (Author) FEUP

Conference proceedings International

Title: 2018 International Conference on Smart Energy Systems and Technologies, SEST 2018 - Proceedings

Pages: 1-6

2018 International Conference on Smart Energy Systems and Technologies, SEST 2018

10 September 2018 through 12 September 2018

Indexing

ISI Web of Knowledge - 2 Citations

Scopus - 4 Citations

INSPEC

Other information

Authenticus ID: P-00P-W85

DOI: 10.1109/sest.2018.8495696

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6