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A multi-scale optimization model to assess the benefits of a smart charging policy for electrical vehicles

机译:一种多尺度优化模型,用于评估电动汽车智能充电策略的优势

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The recent development of electric vehicles (EVs) has brought a new set of problems regarding their integration in power networks, particularly in terms of the potential growth of peak load. The peak growth leads to the increase of losses and braches charging and to voltage drops. Conversely, optimizing EV charging policy creates new opportunities for both network safety and energy trading through the markets. This paper presents a multi-level framework combining two representations of a medium voltage (MV) network in order to optimize the EV charging policy. A minimizing cost approach is set, modeling day-ahead markets, and taking into account losses. The proposed methodology is tested on a typical MV network.
机译:电动汽车(EV)的最新发展带来了关于其在电网中集成的一系列新问题,特别是在峰值负载的潜在增长方面。峰值增长导致损耗和分支充电的增加以及电压下降。相反,优化电动汽车充电政策为通过市场的网络安全和能源交易创造了新的机会。本文提出了一个多级框架,该框架结合了中压(MV)网络的两种表示形式,以优化EV充电策略。设置了最小成本方法,对日间市场进行建模,并考虑了损失。所提出的方法在典型的MV网络上进行了测试。

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