Optimal Planning of Electric Vehicles Energy Exchange in Parking Lots Considering Uncertainties

David A. Sanchez, Santiago P. Torres, José E. Chillogalli, H. Chamorro, Luis G. Gonzalez, Vijay K. Sood, Rubén R. Romero
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Abstract

With the growing concern for energy conservation and environmental protection around the world, the use of Electric Vehicles (EVs) is being encouraged. In this way, the optimum allocation of EVs’ parked in a distribution network is a challenging issue. In this paper, the optimal energy exchange between EVs and the distribution network is analyzed in two types of parking lots, which will be controlled by a charging provider or aggregator, and where the randomness related to vehicles and vehicle-to-grid (V2G) capability at the charging stations will be considered. In this way the stochastic behavior of an EV during the day was formulated as a mixed integer linear programming (MILP) problem, and Monte Carlo simulations were used to estimate the optimal loading and unloading patterns of EVs inside the parking lots based on the time-of-use (ToU) tariffs.
考虑不确定性的停车场电动汽车能量交换优化规划
随着世界各国对节能环保的日益关注,电动汽车的使用受到鼓励。因此,电动汽车在配电网中的最佳分配是一个具有挑战性的问题。本文分析了两种类型的停车场中电动汽车与配电网之间的最优能量交换,这两种类型的停车场将由充电提供商或聚合器控制,并且考虑了充电站与车辆和车辆到电网(V2G)能力相关的随机性。在此基础上,将电动汽车在白天的随机行为表述为一个混合整数线性规划(MILP)问题,并利用蒙特卡罗模拟方法,基于分时电价(ToU)估算出停车场内电动汽车的最优装卸模式。
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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