A Hierarchical Decomposition Approach for Coordinated Dispatch of Plug-in Electric Vehicles

被引:175
作者
Yao, Weifeng [1 ]
Zhao, Junhua [1 ,2 ]
Wen, Fushuan [1 ]
Xue, Yusheng [3 ]
Ledwich, Gerard [4 ]
机构
[1] Zhejiang Univ, Sch Elect Engn, Hangzhou 310003, Zhejiang, Peoples R China
[2] Univ Newcastle, Sch Elect Engn & Comp Sci, Callaghan, NSW 2308, Australia
[3] State Grid Elect Power Res Inst, Nanjing, Jiangsu, Peoples R China
[4] Queensland Univ Technol, Brisbane, Qld 4001, Australia
基金
中国国家自然科学基金;
关键词
Bi-level programming; hierarchical and zonal dispatching architecture; plug-in electric vehicles; vehicle to grid (V2G); IMPACT; IMPLEMENTATION; OPTIMIZATION; BILEVEL;
D O I
10.1109/TPWRS.2013.2256937
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
Plug-in electric vehicles (PEVs) are increasingly popular in the global trend of energy saving and environmental protection. However, the uncoordinated charging of numerous PEVs can produce significant negative impacts on the secure and economic operation of the power system concerned. In this context, a hierarchical decomposition approach is presented to coordinate the charging/discharging behaviors of PEVs. The major objective of the upper-level model is to minimize the total cost of system operation by jointly dispatching generators and electric vehicle aggregators (EVAs). On the other hand, the lower-level model aims at strictly following the dispatching instructions from the upper-level decision-maker by designing appropriate charging/discharging strategies for each individual PEV in a specified dispatching period. Two highly efficient commercial solvers, namely AMPL/IPOPT and AMPL/CPLEX, respectively, are used to solve the developed hierarchical decomposition model. Finally, a modified IEEE 118-bus testing system including 6 EVAs is employed to demonstrate the performance of the developed model and method.
引用
收藏
页码:2768 / 2778
页数:11
相关论文
共 33 条
[21]  
Kintner-Meyer M., 2007, IMPACTS ASSESSMENT P, V1, P1
[22]   Smart load management of plug-in electric vehicles in distribution and residential networks with charging stations for peak shaving and loss minimisation considering voltage regulation [J].
Masoum, A. S. ;
Deilami, S. ;
Moses, P. S. ;
Masoum, M. A. S. ;
Abu-Siada, A. .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2011, 5 (08) :877-888
[23]   Integration of Electric Vehicles in the Electric Power System [J].
Pecas Lopes, Joao A. ;
Soares, Filipe Joel ;
Rocha Almeida, Pedro M. .
PROCEEDINGS OF THE IEEE, 2011, 99 (01) :168-183
[24]   The introduction of electric vehicles in the private fleet: Potential impact on the electric supply system and on the environment. A case study for the Province of Milan, Italy [J].
Perujo, Adolfo ;
Ciuffo, Biagio .
ENERGY POLICY, 2010, 38 (08) :4549-4561
[25]   Assessment of the Impact of Plug-in Electric Vehicles on Distribution Networks [J].
Pieltain Fernandez, Luis ;
Gomez San Roman, Tomas ;
Cossent, Rafael ;
Mateo Domingo, Carlos ;
Frias, Pablo .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2011, 26 (01) :206-213
[26]  
Putrus GA, 2009, IEEE VEHICLE POWER, P736, DOI 10.1109/VPPC.2009.5289760
[27]   Optimal Charge Control of Plug-In Hybrid Electric Vehicles in Deregulated Electricity Markets [J].
Rotering, Niklas ;
Ilic, Marija .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2011, 26 (03) :1021-1029
[28]  
Schneider K, 2008, IEEE POW ENER SOC GE, P5568
[29]   Coordinated Charging of Plug-In Hybrid Electric Vehicles to Minimize Distribution System Losses [J].
Sortomme, Eric ;
Hindi, Mohammad M. ;
MacPherson, S. D. James ;
Venkata, S. S. .
IEEE TRANSACTIONS ON SMART GRID, 2011, 2 (01) :198-205
[30]   Using fleets of electric-drive vehicles for grid support [J].
Tomic, Jasna ;
Kempton, Willett .
JOURNAL OF POWER SOURCES, 2007, 168 (02) :459-468