Evaluating the impact of modeling assumptions for cascading failure simulation

Evaluating the impact of modeling assumptions for cascading failure simulation
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评估建模假设对级联故障模拟的影响

DOI:
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发表时间:
2012
期刊:
IEEE Power & Energy Society General Meeting
影响因子:
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通讯作者:
Paul D. H. Hines
Paul D. H. Hines
中科院分区:
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文献类型:
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作者:
R. Fitzmaurice;Eduardo Cotilla;Paul D. H. Hines

文献摘要

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由于产生大规模电力系统故障的各种机制的复杂组合,连锁故障的仿真需要一些建模假设。本文比较了不同假设条件下电力系统连锁故障的三种模型。首先,将动态发电机模型与直流潮流网络模型相结合,用时滞(记忆)继电器模拟支路故障。在第二章中,我们使用序贯潮流计算来模拟梯级。在第三章中,我们使用一个简单的拓扑传染模型来模拟级联。结果表明,动态和准稳态(QSS)模拟结果基本一致,而拓扑模型有显著差异。我们还发现,动力学模型和QSS模型之间的一致性程度在很大程度上取决于分支故障的发生方式。
Because of the complicated combination of mechanisms that combine to produce large power system failures, the simulation of cascading failure requires some modeling assumptions. In this paper we compare three models of cascading failure in electrical power systems under various assumptions. In the first, we combine dynamic generator models with a DC power flow network model, and use time-delayed (memory) relays to simulate branch failure. In the second, we simulate cascading with the use of sequential power flow calculations. In the third, we simulate cascading using a simple topological contagion model. The results indicate that the dynamical and the quasi-steady state (QSS) simulations show substantial agreement, whereas the topological model differs significantly. We also find that the extent of the agreement between the dynamical and the QSS model largely depends on the way in which branch failures occur.