Cascading Failure Analysis With Load Uncertainty in Cyber-Physical Power Systems

Xingle Gao, Min-fang Peng, Runfu Zhou, Yongan Deng
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引用次数: 1

Abstract

This paper propose a novel model to analyze the effects of load uncertainty on the cascading failure of cyber-physical power systems. In this model, we take into account the interdependence of network nodes, cascade overload and voltage violation in the cascading process. Moreover, the AC power flow model is incorporated with the unscented transformation (UT) method to simulate the power flow distribution under the influence of load uncertainty. Based on the actual load data, the autoregressive integrated moving average (ARIMA) technique is adopted to model the load uncertainty. The results show that the load uncertainty aggravates the cascading failure propagation of coupled power systems, and the high uncertainty of heavy load nodes is more likely to cause large-scale blackouts. In addition, compared with small-world cyber network, scale-free cyber network can make the coupled system more robust and reduce the severity of blackouts.
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网络-物理电力系统负荷不确定的级联故障分析
本文提出了一种新的模型来分析负载不确定性对网络物理电力系统级联故障的影响。在该模型中,我们考虑了级联过程中网络节点的相互依赖、级联过载和电压违和。此外,将交流潮流模型与unscented变换(UT)方法相结合,模拟了负荷不确定性影响下的潮流分布。基于实际负荷数据,采用自回归积分移动平均(ARIMA)技术对负荷不确定性进行建模。结果表明,负荷的不确定性加剧了耦合电力系统的级联故障传播,大负荷节点的高不确定性更容易造成大规模停电。此外,与小世界网络相比,无标度网络可以使耦合系统更具鲁棒性,降低停电的严重程度。
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