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Multi-objective capacity allocation optimization method of photovoltaic EV charging station considering V2G

Journal of Central South University 2021年第2期28卷 481-493页

作者： ZHENG Xue-qin YAO Yi-ping School of Electrical Engineering and Automation Xiamen University of TechnologyXiamen 361000China

Large-scale electric vehicles(EVs) connected to the micro grid would cause many problems. In this paper, with the consideration of vehicle to grid(V2 G), 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 V2 G 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 V2 G 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.

关键词： vehicle to grid (V2G) capacity configuration optimization time-to-use (TOU) price multi-objective optimization nsga-Ⅱ algorithm nsga-sa algorithm

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