The Open Fuels & Energy Science Journal

2015, 8 : 176-182
Published online 2015 September 10. DOI: 10.2174/1876973X01508010176
Publisher ID: TOEFJ-8-176

Research on Charging and Discharging Dispatching Strategy for Electric Vehicles

Wang Yong , Bian Haihong and Wang Chunning
School of Power Engineering, Nanjing Institute of Technology, 210000, Nanjing, China.

ABSTRACT

The popularity of electric vehicles may lead to negative effects on the power system if the charging procedures of plug-in electric vehicles (PEVs) are uncoordinated. In order to solve the problem, the hierarchical and zonal dispatching architecture and a new bi-level optimization model are respectively presented for the charging/discharging schedules of the PEVs. The upper level model is devoted to minimizing the system load variance so as to implement peak load shifting by optimizing the dispatching plan of all periods for each electric vehicle aggregator (EVA), and the lower one is aimed at tracing the dispatching scheme determined by the upper decision-maker through presenting an optimal schedule of charging and discharging for electric vehicles in the charging areas. Two highly efficient commercial solvers, AMPL/IPOPT and AMPL/CPLEX respectively, are employed to solve the developed optimization problem. Finally, the testing IEEE system consisting of 5 agents and 30 nodes is adopted to illustrate the characteristics of the model and solving method presented in this paper.

Keywords:

Charging and discharging strategy, electric vehicle, hierarchical and zonal dispatching, optimization.