Title :
A Hierarchical Decomposition Approach for Coordinated Dispatch of Plug-in Electric Vehicles
Author :
Weifeng Yao ; Junhua Zhao ; Fushuan Wen ; Yusheng Xue ; Ledwich, Gerard
Author_Institution :
Sch. of Electr. Eng., Zhejiang Univ., Hangzhou, China
Abstract :
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.
Keywords :
IEEE standards; battery powered vehicles; cost reduction; decision making; decomposition; energy conservation; power generation dispatch; power generation economics; AMPL-CPLEX solver; AMPL-IPOPT solver; EVA; PEV; charging-discharging strategy; coordinated dispatching generator; electric vehicle aggregator; energy saving; environmental protection; hierarchical decomposition approach; modified IEEE 118-bus testing system; plug-in electric vehicle; power system economics; power system security; upper-level decision-maker model; Bi-level programming; hierarchical and zonal dispatching architecture; plug-in electric vehicles; vehicle to grid (V2G);
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2013.2256937