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A Two-Level Desired Load Profile Tracking Algorithm for Electric Two-Wheeler Charging Stations

机译:电动双轮充电站的两级所需负载概况跟踪算法

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In Vietnam and in other developing countries, twowheeled electric vehicles are potential alternatives to gasolinepowered motorbikes. The growth in the number of Electric TwoWheelers (E2Ws) requires a large power demand of charging load. In addition, the increasing spread in the appearance and penetration of rooftop photovoltaic (PV) power systems, with their intermittence and uncertain nature, poses technical challenges that need to be addressed. The coordination of PV rooftop operation and EV charging may be an effective solution to meet the emerging load demand from EVs, increasing solar power penetration while minimizing the cost of grid reinforcement or possible upgrades. In this paper, a two-level desired load profile tracking algorithm for PV integrated electric bicycles/electric motorcycle charging stations is proposed with the purposes of load leveling, valley filling, and peak shaving. The simulation results show that the proposed algorithm is an effective solution, significantly improving the load profile, especially when compared with uncontrolled charging and constant charging power scheme.
机译:在越南和其他发展中国家,Twowheeled电动汽车是汽油驾驶摩托车的潜在替代品。电动双向柜(E2WS)数量的增长需要大的充电负荷需求。此外,屋顶光伏(PV)电力系统的外观和渗透越来越多,具有间断和不确定性质,构成了需要解决的技术挑战。光伏屋顶运行和EV充电的协调可能是一种有效的解决方案,以满足来自EV的新兴负载需求,增加太阳能电力渗透,同时最大限度地降低了电网增强的成本或可能的升级。本文采用了载荷调平,谷填充和峰值剃须的目的,提出了一种用于PV集成电动自行车/电动摩托车充电站的双层期望的负载轮廓跟踪算法。仿真结果表明,该算法是一种有效的解决方案,显着改善负载轮廓,特别是与不受控制的充电和恒定充电功率方案相比。

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