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Smart Charging Algorithm for Flexibility Provision with Electric Vehicle Fleets

机译:具有电动车船队的灵活性提供智能充电算法

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The penetration of electric vehicles (EVs) is quickly increasing. On one side, they are welcome to reduce the carbon footprint of the mobility sector. On the other hand, they can have a negative impact on the power system, given the high requested power rates at low or medium voltages. To prevent this, smart charging and vehicle-to-grid algorithms must be elaborated and exploited. In this study, we propose an EV parking garage providing ancillary services on the Italian Balancing Market. The average power withdrawal is estimated based on real world data. The available power for provision of upward and downward tertiary frequency regulation are then computed. A bid on the market is performed via a Balancing Service Provider and a market simulator returns the outcome in terms of acceptance or rejection. The results include the power profiles, the reliability of the garage performance on market and the economics. The savings for energy withdrawn are around 8% of the total cost. The provided flexibility in the daily simulation is up to 5 MW for a parking with 1100 EVs. The reliability of the provision is of 99%. Improvements can include a better modeling of the market and testing different regulatory frameworks.
机译:电动车辆(EVS)的渗透迅速增加。一方面,欢迎它们来减少流动部门的碳足迹。另一方面,考虑到低或中电压的高所请求的电源速率,它们可以对电力系统产生负面影响。为防止这种情况,必须详细阐述和利用智能充电和车辆到网格算法。在这项研究中,我们提出了一个EV停车车库,在意大利平衡市场上提供辅助服务。基于现实世界数据估计平均功率提取。然后计算提供向上和向下频率调节的可用功率。市场上的出价是通过平衡服务提供商进行的,并且市场模拟器在接受或拒绝方面返回结果。结果包括电力型材,车库性能的可靠性和经济学。撤回能源的节省约占总成本的8%。在每日模拟中提供的灵活性最多可容纳5兆瓦的停车位,带1100 eV。该规定的可靠性为99%。改进可以包括市场的更好建模和测试不同的监管框架。

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