基于二元决策图的电力系统级联预测方案

A. Chhokra, Saqib Hasan, A. Dubey, G. Karsai
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引用次数: 1

摘要

电力系统中的级联停电是一种罕见但重要的现象,具有巨大的社会和经济影响。由于电力系统部件固有的复杂性和异质性,对系统当前和未来状态的分析和预测是一项具有挑战性的任务。本文采用一种基于降阶二元决策图的新方法,研究了电力系统级联停电的预测问题。我们提出了一种基于简单级联模型的综合这些决策图的系统方法。我们还描述了一个查找作为缓解策略一部分的紧急负荷削减行动的工作流程。最后,我们展示了我们的方法在标准IEEE 14总线系统上的适用性。
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A Binary Decision Diagram Based Cascade Prognostics Scheme For Power Systems
Cascading outages in power systems is a rare, but important phenomenon with huge social and economic implications. Due to the inherent complexity and heterogeneity of components in power system, analysis and prediction of the current and future states of the system is a challenging task. In this paper, we address prognosis of cascading outages in power systems by employing a novel approach based on reduced ordered binary decision diagrams. We present a systemic way of synthesizing these decision diagrams based on a simple cascade model. We also describe a workflow for finding the emergency load curtailment actions as a part of the mitigation strategy. In the end, we show the applicability of our approach using the standard IEEE 14 bus system.
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