An energy management scheme for grid connected EVs charging stations

Rohit R. Deshmukh, M. Ballal
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引用次数: 12

Abstract

This paper presents new energy management scheme for charging stations which reduces the load demand as well as load fluctuations on main distribution grid. The increasing use of electrical vehicles (EVs) and hybrid EVs raises the need of more charging stations. Increase in number of charging stations increases the power demand to high rate. This causes an extra burden on main supporting grid. And most importantly increases the load fluctuations on to the main distribution grid. In this novel control scheme, the different charging stations takes the constant power from grid throughout its operation and acts like constant load. The two layer control scheme is used to improve reliability of overall system in case of grid or any other charging stations failure. The charging stations consist of renewable sources like photovoltaic, wind, etc which helps in reducing green house gases as well as the operational cost of charging station. The simulation studies are carried out for proposed control algorithm in MATLAB Simulink environment and in real time simulator (OPAL-RT).
并网电动汽车充电站的能量管理方案
本文提出了一种新的充电站能源管理方案,该方案既能降低主配电网的负荷需求,又能减小负荷波动。随着电动汽车和混合动力汽车的使用越来越多,对充电站的需求也越来越大。随着充电站数量的增加,对电力的需求也越来越高。这对主支撑网格造成了额外的负担。最重要的是增加了主配电网的负荷波动。在该控制方案中,不同的充电站在整个运行过程中都从电网中获取恒定功率,充当恒定负荷。采用两层控制方案,在电网或其他充电站发生故障时,提高整个系统的可靠性。充电站由光伏、风能等可再生能源组成,有助于减少温室气体排放,并降低充电站的运营成本。在MATLAB Simulink环境和实时仿真器(OPAL-RT)中对所提出的控制算法进行了仿真研究。
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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