Optimal charging coordination of electric vehicles in unbalanced electrical distribution system considering vehicle-to-grid technology

2015 3rd International Istanbul Smart Grid Congress and Fair (ICSG) Pub Date : 2015-04-29 DOI:10.1109/SGCF.2015.7354924

A. C. F. Sabillon, J. Franco, M. J. Rider, R. Romero

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引用次数: 3

Abstract

A mixed integer linear programming (MILP) formulation is proposed in this paper to solve the problem of optimal charging coordination of electric vehicle (EVs) in unbalanced electrical distribution system (EDS) considering vehicle-to-grid (V2G) technology. The imbalance of the system circuits and loads has been taken into account. The developed method defines an optimal charging schedule for the EVs which considers the EVs arrival and departure times and their arrival state of charge; the energy contribution of EVs equipped with vehicle-to-grid technology and distributed generators are considered as well. The classical optimization techniques used to solve the MILP formulation guarantee the optimal solution of the problem. The model was written in the mathematical modeling language AMPL and solved using the commercial solver CPLEX. The presented formulation was tested in a 34-node distribution system and a comparison of the obtained charging schedule on scenarios with V2G and distributed generation was made.

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考虑车对网技术的不平衡配电系统中电动汽车最优充电协调

针对不平衡配电系统中考虑车对网(V2G)技术的电动汽车最优充电协调问题，提出了一种混合整数线性规划(MILP)公式。考虑了系统电路和负载的不平衡。该方法考虑了电动汽车到达、离开时间和到达充电状态，确定了电动汽车的最优充电计划;同时还考虑了采用车联网技术和分布式发电机的电动汽车的能源贡献。经典的优化技术用于求解MILP公式，保证了问题的最优解。该模型采用数学建模语言AMPL编写，采用商用求解器CPLEX进行求解。在一个34节点的配电系统中对该公式进行了测试，并对得到的V2G和分布式发电场景下的充电计划进行了比较。

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2015 3rd International Istanbul Smart Grid Congress and Fair (ICSG)

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