利用多目标最优化方法控制智能电网中电动汽车充电速率

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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.

Key words： smart grid plug-in electric taxi multiobjective optimization pareto optimality

Published: 22 January 2018

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	Articles by authors
	Guan Haoliang
	Wang Jinhua
	Qiu Weiyu

Cite this article:

Guan Haoliang,Wang Jinhua,Qiu Weiyu. Multiobjective Optimization based Charging Strategy for Electric Vehicles in Smart Grid[J]. Electrical Engineering, 2017, 18(12): 76-80.

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https://dqjs.cesmedia.cn/EN/Y2017/V18/I12/76

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