Locating PHEV Exchange Stations in V2G

Feng Pan, R. Bent, A. Berscheid, D. Izraelevitz
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引用次数: 86

Abstract

Plug-in hybrid electric vehicles (PHEVs) are an environmentally friendly technology that is expected to rapidly penetrate the transportation system. Renewable energy sources such as wind and solar have received considerable attention as clean power options for future generation expansion. However, these sources are intermittent and increase the uncertainty in the ability to generate power. The deployment of PHEVs in a vehicle-to-grid (V2G) system provide a potential mechanism for reducing the variability of renewable energy sources. For example, PHEV supporting infrastructures like battery exchange stations that provide battery service to PHEV customers could be used as storage devices to stabilize the grid when renewable energy production is fluctuating. In this paper, we study how to best site these stations in terms of how they can support both the transportation system and the power grid. To model this problem we develop a two-stage stochastic program to optimally locate the stations prior to the realization of battery demands, loads, and generation capacity of renewable power sources. We develop two test cases to study the benefits and the performance of these systems.
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V2G中插电式混合动力交换站的定位
插电式混合动力汽车(phev)是一种环保技术,有望迅速渗透到交通系统中。风能和太阳能等可再生能源作为未来扩大发电的清洁能源选择受到了相当大的关注。然而,这些来源是间歇性的,增加了发电能力的不确定性。在车辆到电网(V2G)系统中部署插电式混合动力汽车为减少可再生能源的可变性提供了一种潜在的机制。例如,为插电式混合动力用户提供电池服务的电池交换站等插电式混合动力支持基础设施可以用作存储设备,在可再生能源生产波动时稳定电网。在本文中,我们从如何支持交通系统和电网的角度来研究这些站点的最佳选址。为了模拟这个问题,我们开发了一个两阶段的随机程序,在实现可再生能源的电池需求、负载和发电能力之前,对电站进行最佳定位。我们开发了两个测试用例来研究这些系统的优点和性能。
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