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Robust Frequency Regulation Capacity Scheduling Algorithm for Electric Vehicles

机译:电动汽车鲁棒调频容量调度算法

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Electric vehicles (EVs) have the potential to provide frequency regulation service to an independent system operator (ISO) by changing their real-time charging or discharging power according to an automatic generation control (AGC) signal. Recently, the Federal Energy Regulatory Commission has issued Order 755 to ISOs to introduce a performance-based compensation scheme in the frequency regulation market. The goal is to provide economic incentives for fast ramping resources such as EVs to participate in the market. In this paper, we model the EV frequency regulation service under the performance-based compensation scheme. Thereby, a robust optimization framework is adopted for the formulation of a frequency regulation capacity scheduling problem. Our problem formulation takes into account the performance-based compensation scheme, the random AGC signal, and the dynamic arrival and departure times of the EVs. We propose an efficient algorithm to solve the formulated problem. Simulation results show that the proposed algorithm improves the revenue under the performance-based compensation scheme compared with a benchmark algorithm.
机译:电动汽车(EV)可以通过根据自动发电控制(AGC)信号更改其实时充电或放电功率来向独立的系统运营商(ISO)提供频率调节服务。最近,联邦能源管理委员会已向ISO发出755号命令,以在频率调节市场引入基于性能的补偿方案。目标是为电动汽车等快速增长的资源进入市场提供经济激励。在本文中,我们对基于性能的补偿方案下的EV频率调节服务进行建模。因此,采用鲁棒的优化框架来制定频率调节能力调度问题。我们的问题公式考虑了基于性能的补偿方案,随机AGC信号以及电动汽车的动态到达和离开时间。我们提出了一种有效的算法来解决所提出的问题。仿真结果表明,与基准算法相比,该算法在基于性能的补偿方案下提高了收益。

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