Multiobjective Optimization based Charging Strategy for Electric Vehicles in Smart Grid
Guan Haoliang1, Wang Jinhua1, Qiu Weiyu2
1. School of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350000; 2. Department of Electrical Engineering, Yuan Ze University, Taoyuan, Taiwan 32003
Abstract：Charging scheduling for electric cars and plug-in electric taxis in the smart grid is considered. A charging station may control the charging rate to maximize its revenue. For the underlying power system, maximizing the corresponding load factor is desired so that the system stability can be ensured. Maximizing the revenue and load factor simultaneously leads to a multiobjective optimization problem. A multiobjective approach is proposed to solve the multiobjective optimization problem, yielding a pareto optimal charging strategy. Numerical analysis is conducted to illustrate the effectiveness of the proposed multiobjective methodology.
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2017, Vol. 18 
