Optimal Control of a Grid-connected Service Area for Plug-in Electric Vehicles Fast Charging under uncertain Power Demand

E. D. Santis, F. Liberati, A. Giorgio
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引用次数: 1

Abstract

In this paper we consider the problem of controlling a service area hosting stations for the provisioning of the electric vehicles fast charging service, having the support of an electric energy storage system and local power production from renewables. Key aspects motivating the work are the hard temporal constraint imposed by drivers requiring the fast charging service and the impact high aggregated power withdrawal has on the economic viability of the investment for the service area operator; consequently key control requirements include a congestion level driven tracking of the charging power demand and the flattening of power flow at the point of connection of the service area to the electricity grid, while keeping stable ESS operation. These opposing control objectives, together with the uncertain nature of the power demand and production, brings to the formulation of a stochastic model predictive control problem, based on a continuous/finite-time optimal control problem, for which the explicit form of solution is determined. Simulations are presented to validate the proposed approach.
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不确定电力需求下插电式电动汽车快速充电并网服务区最优控制
在本文中,我们考虑控制服务区托管站的问题,以提供电动汽车快速充电服务,有一个电力储能系统的支持和本地可再生能源发电。驱动这项工作的关键因素是司机对快速充电服务的硬性时间限制,以及高总功率提取对服务区运营商投资的经济可行性的影响;因此,关键的控制要求包括拥堵水平驱动的充电电力需求跟踪和服务区域与电网连接点的电力流平坦化,同时保持稳定的ESS运行。这些相反的控制目标,加上电力需求和生产的不确定性,形成了一个基于连续/有限时间最优控制问题的随机模型预测控制问题,并确定了其解的显式形式。通过仿真验证了该方法的有效性。
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