Optimal charge control of electric vehicles in parking stations for cost minimization in V2G concept

H. Turker, A. Radu, S. Bacha, D. Frey, J. Richer, P. Lebrusq
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引用次数: 12

Abstract

In this paper, we consider the coordinated charging control of electrical vehicle (EV) in the charging stations. The goals are to minimize the total charging cost of all the vehicles at the charging station, respecting subscription type to electricity for charging station. The algorithm is based on a given future electricity prices and uses linear programming. This cost reduction of charging being achieved through bidirectional power flow between vehicles and grid. Thus functionalities of electrical vehicle can be divided into two aspects: on one hand, battery of the EV can be considered as a variable load. With optimal charging or smart charging for the battery, vehicle owners could maximize their profits by purchasing energy, G2V (Grid to Vehicle), at the lowest possible electricity price and in on the other hand, battery of the EV canal so be considered as energy storage capacity which has possibility to provide energy V2G (Vehicle to Grid). After the simulations performed by applying this strategy to coordinate EV charging, we achieved a cost reduction with 20% from the initial cost.
V2G概念下停车站电动汽车成本最小化的最优充电控制
本文研究了充电站内电动汽车的协调充电控制问题。目标是在考虑充电站电力订阅类型的情况下,使所有车辆在充电站的总充电成本最小。该算法基于给定的未来电价,并使用线性规划。这种充电成本的降低是通过车辆和电网之间的双向电力流动来实现的。因此,电动汽车的功能可以分为两个方面:一方面,电动汽车的电池可以看作是一个可变的负载。通过对电池进行优化充电或智能充电,车主可以通过以尽可能低的电价购买能源G2V(网到车)实现利润最大化,另一方面,电动汽车通道的电池可以被视为储能容量,有可能提供能源V2G(车到网)。将该策略应用于协调电动汽车充电的仿真后,我们实现了成本比初始成本降低20%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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