Multi-objective capacity allocation optimization method of photovoltaic EV charging station considering V2G考虑 V2G 影响的光伏电动汽车充电站多目标容量配置优化方法

被引:0
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作者
Xue-qin Zheng
Yi-ping Yao
机构
[1] Xiamen University of Technology,School of Electrical Engineering and Automation
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关键词
vehicle to grid (V2G); capacity configuration optimization; time-to-use (TOU) price; multi-objective optimization; NSGA-II algorithm; NSGA-SA algorithm; V2G; 容量配置优化; 峰谷电价; 多目标优化; NSGA-II 算法; NSGA-SA 算法;
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学科分类号
摘要
Large-scale electric vehicles (EVs) connected to the micro grid would cause many problems. In this paper, with the consideration of vehicle to grid (V2G), two charging and discharging load modes of EVs were constructed. One was the disorderly charging and discharging mode based on travel habits, and the other was the orderly charging and discharging mode based on time-of-use (TOU) price; Monte Carlo method was used to verify the case. The scheme of the capacity optimization of photovoltaic charging station under two different charging and discharging modes with V2G was proposed. The mathematical models of the objective function with the maximization of energy efficiency, the minimization of the investment and the operation cost of the charging system were established. The range of decision variables, constraints of the requirements of the power balance and the strategy of energy exchange were given. NSGA-II and NSGA-SA algorithm were used to verify the cases, respectively. In both algorithms, by comparing with the simulation results of the two different modes, it shows that the orderly charging and discharging mode with V2G is obviously better than the disorderly charging and discharging mode in the aspects of alleviating the pressure of power grid, reducing system investment and improving energy efficiency.
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页码:481 / 493
页数:12
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