Composite Power System Reliability Assessment Considering Uncertainty of Electric Vehicle Charging and PV Power Generation
Composite Power System Reliability Assessment Considering Uncertainty of Electric Vehicle Charging and PV Power Generation
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DOI：
10.1109/ias54024.2023.10406627
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发表时间：
2023-10
期刊：
影响因子：
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通讯作者：
Jitendra Thapa;Joshua Olowolaju;H. Livani;Mohammed Benidris
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文献类型：
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作者：
Jitendra Thapa;Joshua Olowolaju;H. Livani;Mohammed Benidris
随着基于逆变器的资源（IBR）和电动汽车（EV）的日益普及，现代电力系统正面临着一些挑战。问题的出现是由于间歇性和与基于IBR的资源和电动汽车相关的不确定性。从电力系统规划和运行的角度来看，在可靠性评估中考虑这些因素是必不可少的。现代电力系统的可靠性评估，大量渗透与可再生能源发电机应考虑其不确定性量化的可靠性指标，并包括电动汽车充电负荷在其框架以及。因此，本文提出了一种结合光伏发电概率预测区间的混合电力系统可靠性评估方法，该方法沿着了电动汽车的集成。综合考虑充电站的不同位置、电动汽车类型和驾驶员行为的电动汽车负荷模型。最后，一个连续的蒙特卡罗模拟被用来确定可靠性指标的范围后，开发的PV和EV负荷模型的区间预测。不同水平的电动汽车渗透与光伏集成的电力系统的可靠性的影响进行了研究。这项工作的意义是提供一个准确的可靠性评估框架，考虑到光伏的不确定性和电动汽车。
Modern power systems are facing several challenges with the increasing penetration of inverter-based resources (IBRs) and electric vehicles (EVs). The problem arises due to inter-mittency and uncertainties associated with IBR-based resources and electric vehicles. It is indispensable from the perspective of power system planning and operation to consider these factors in reliability assessment. The reliability assessment of modern power systems that are heavily penetrated with renewable generators should consider their uncertainties to quantify the reliability index and include EVs charging load in their framework as well. Therefore, this paper proposes an approach for composite power system reliability assessment combined with the probabilistic prediction interval of PV power along with the integration of electric vehicles. An electric vehicle load model developed considering the different locations of charging stations, types of EV, and drivers' behavior is integrated. Finally, a sequential Monte Carlo simulation is used to determine the range of the reliability index after an interval forecast of the PV and EV load model is developed. The impact of different levels of EV penetration on the reliability of power system integrated with PV is also investigated. The significance of this work is to provide an accurate reliability assessment framework that takes PV uncertainties and electric vehicles into consideration.