A comprehensive planning framework for electric vehicle charging infrastructure deployment in the power grid with enhanced voltage stability

被引:38
作者
Dharmakeerthi, C. H. [1 ,2 ]
Mithulananthan, N. [1 ]
Saha, T. K. [1 ]
机构
[1] Univ Queensland, Sch Informat Technol & Elect Engn, Brisbane, Qld 4072, Australia
[2] Ceylon Elect Board, Colombo, Western Provinc, Sri Lanka
关键词
charging infrastructure planning; electric vehicle; voltage-dependent load; voltage stability; renewable energy integration; COLLAPSE; INDEX;
D O I
10.1002/etep.1886
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Environmental, economical, and social benefits of the electric vehicle (EV) makes it as a sustainable alternative to fossil fuel driven vehicles. Despite numerous advantages brought by the electrified transportation, it will place a profound impact on the power grids. However, the present EV planning studies have not paid enough attention to the grid impacts, concerns, and priorities. Therefore, a comprehensive multi-objective EV charging station planning framework is developed, which not only satisfies the EV users and the charging facility investors but which also maintains reliable grid operation. The voltage-dependent characteristic of the EV load has been taken into consideration. An index that is based on the system reactive power reserve has been introduced to compare relative voltage stability status in different cases. The proposed planning framework is tested and verified by building up a realistic case using EV prediction data and transportation data for the city of Brisbane. Furthermore, the ability of catering for more EV demand with less associated grid impacts is proved by incorporating renewable energy integration. Copyright (c) 2014 John Wiley & Sons, Ltd.
引用
收藏
页码:1022 / 1040
页数:19
相关论文
共 47 条
[1]  
[Anonymous], P IEEE C EV COMP
[2]  
[Anonymous], 2005, COMMUNICATION CONTRO
[3]  
[Anonymous], IMP EL VEH NAT GAS V
[4]  
AVRAMOVIC B, 1991, 1991 POWER INDUSTRY COMPUTER APPLICATION CONFERENCE : CONFERENCE PAPER, P373, DOI 10.1109/PICA.1991.160604
[5]   Online voltage stability monitoring using var reserves [J].
Bao, LX ;
Huang, ZY ;
Xu, WS .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2003, 18 (04) :1461-1469
[6]   Can PV plants provide a reactive power ancillary service? A treat offered by an on-line controller [J].
Cagnano, A. ;
Torelli, F. ;
Alfonzetti, F. ;
De Tuglie, E. .
RENEWABLE ENERGY, 2011, 36 (03) :1047-1052
[7]  
Canizares CA, 1996, IEEE T POWER SYST, V11, P1441, DOI 10.1109/59.535685
[8]   Hybrid discrete particle swarm optimization algorithm for capacitated vehicle routing problem [J].
Chen A.-L. ;
Yang G.-K. ;
Wu Z.-M. .
Journal of Zhejiang University-SCIENCE A, 2006, 7 (4) :607-614
[9]  
de Leon JAD, 2002, 2002 IEEE POWER ENGINEERING SOCIETY SUMMER MEETING, VOLS 1-3, CONFERENCE PROCEEDINGS, P745, DOI 10.1109/PESS.2002.1043412
[10]   Model order formulation of a multivariable discrete system using a modified particle swarm optimization approach [J].
Deepa, S. N. ;
Sugumaran, G. .
SWARM AND EVOLUTIONARY COMPUTATION, 2011, 1 (04) :204-212