Paper Info
Title
Optimal Decision Making Model of Battery Energy Storage-Assisted Electric Vehicle Charging Station Considering Incentive Demand Response.
Abstract
Considering large scale implementation of electric vehicles (EVs), public EV charging stations are served as fuel tanks for EVs to meet the need of longer travelling distance and overcome the shortage of private charging piles. The allocation of local battery energy storage (BES) can enhance the flexibility of the EV charging station. This paper proposes an optimal decision making model of the BES-assisted EV charging station considering the incentive demand response. Firstly, the detailed models of the BES-assisted EV charging station are presented. Secondly, as a representative incentive demand response, the emergency demand response (EDR) model is introduced. Thirdly, based on the charging load forecast data, an optimal decision making model of the BES-assisted EV charging station considering the EDR to maximize the charging station's operating profit is established. Finally, the feasibility of the proposed method is verified through case studies. The conclusions of this paper are as follows: 1) Through the optimal decision making model, correct and profitable EDR participation decision can be determined for the BES-assisted EV charging station effectively. 2) Local BES in the EV charging station can improve the charging station's ability to participate in the EDR.
Year
DOI
Venue
2019
10.1049/cp.2019.0499
CoRR
DocType
Volume
Citations 
Journal
abs/1906.08497
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Bishal Upadhaya100.34
Donghan Feng200.68
Yun Zhou300.34
Qiang Gui400.68
Xiaojin Zhao545.48
Dan Wu601.01