On the Tariff Modification for the Future Electric Vehicle Connection to the Grid

R. Biroon, R. Hadidi, Zoleikha Abdollahi
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引用次数: 8

Abstract

In recent years, integration of renewable energy sources to the traditional power system has attracted the attention of researchers as well as industries. Due to the limited availability of renewable energy sources e.g. solar, considering the energy storage system e.g. battery, is a must in this process. Electric Vehicles (EVs) as a major consumer of batteries, have a considerable influence on the power grids. Therefore, smart charging profiles of the electric vehicles as a battery storage system, play a significant role in the residential sector of energy management. Considering the notable share of the residential sector in the electricity demand market along with renewables growth, potential impacts of residential solar and batteries especially EVs on the stability and operation of the power grid should be taken into account. In this paper, we develop an optimization equation to investigate the effect of the electricity tariff on a residential customer's load profile in the presence of an electric vehicle. To simulate the EV trip, an imaginary load profile based on EV consumption rate has been defined. Results show that the customer's load profile is highly affected by the electricity tariff and the algorithm of EV connection to the grid.
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未来电动汽车并网电价调整研究
近年来,可再生能源与传统电力系统的整合已经引起了研究人员和工业界的关注。由于太阳能等可再生能源的可用性有限,考虑到电池等储能系统,在这一过程中是必须的。电动汽车作为电池的主要消费者,对电网产生了相当大的影响。因此,智能充电作为电动汽车的一种电池存储系统,在住宅领域的能源管理中发挥着重要作用。考虑到住宅部门在电力需求市场中的显着份额以及可再生能源的增长,应考虑住宅太阳能和电池,特别是电动汽车对电网稳定性和运行的潜在影响。在本文中,我们开发了一个优化方程来研究在电动汽车存在的情况下电价对住宅客户负荷分布的影响。为了模拟电动汽车的行程,定义了一个基于电动汽车消耗率的虚拟负载曲线。结果表明,用户负荷分布受电价和电动汽车并网算法的影响较大。
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