TY - GEN
T1 - Dynamic and fast electric vehicle charging coordinating scheme, considering V2G based var compensation
AU - Zhang, Wenjie
AU - Quan, Hao
AU - Gandhi, Oktoviano
AU - Rodríguez-Gallegos, Carlos D.
AU - Srinivasan, DIpti
AU - Weng, Yang
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/28
Y1 - 2017/6/28
N2 - Electric Vehicles (EVs) are viewed as a promising solution to reduce carbon footprint in transportation. However, without proper coordination, a large scale of simultaneous EV charging activities can cause voltage collapse and frequency instability in power systems. In literature, various methods have been proposed for EV charging coordination. Nevertheless, most of them only focus on active power control. More recent researches have considered Vehicle-to-Grid (V2G) based var compensation, however, they are based on heuristic methods, which are not computationally efficient and the global optimal cannot be guaranteed. In this paper, a distributed EV charging coordinating scheme is proposed for efficiently coordinating EV charging processes and computing V2G based var capacity. Case studies show that the proposed distributed coordination not only has a similar performance as central coordination in terms of gaining economic benefits, but also takes significantly less computational time than the central coordination.
AB - Electric Vehicles (EVs) are viewed as a promising solution to reduce carbon footprint in transportation. However, without proper coordination, a large scale of simultaneous EV charging activities can cause voltage collapse and frequency instability in power systems. In literature, various methods have been proposed for EV charging coordination. Nevertheless, most of them only focus on active power control. More recent researches have considered Vehicle-to-Grid (V2G) based var compensation, however, they are based on heuristic methods, which are not computationally efficient and the global optimal cannot be guaranteed. In this paper, a distributed EV charging coordinating scheme is proposed for efficiently coordinating EV charging processes and computing V2G based var capacity. Case studies show that the proposed distributed coordination not only has a similar performance as central coordination in terms of gaining economic benefits, but also takes significantly less computational time than the central coordination.
UR - http://www.scopus.com/inward/record.url?scp=85049132156&partnerID=8YFLogxK
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U2 - 10.1109/EI2.2017.8245686
DO - 10.1109/EI2.2017.8245686
M3 - Conference contribution
AN - SCOPUS:85049132156
T3 - 2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017 - Proceedings
SP - 1
EP - 6
BT - 2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017
Y2 - 27 November 2017 through 28 November 2017
ER -