"Dual Graph" and "Random Chemistry" Methods for Cascading Failure Analysis
"Dual Graph" and "Random Chemistry" Methods for Cascading Failure Analysis
复制标题
连锁故障分析的“双图”和“随机化学”方法
DOI：
10.1109/hicss.2013.1
复制
发表时间：
2013
期刊：
影响因子：
--
通讯作者：
M. Eppstein
中科院分区：
文献类型：
--
作者：
P. Hines;I. Dobson;E. C. Sanchez;M. Eppstein
本文介绍了两种新的方法，可以结合联合收割机大量的数据，级联停电，产生的方式，级联可能传播的信息，电力系统中的连锁故障分析。在第一，我们评估的方法表示级联故障信息的图形的形式。我们称这些图为“对偶图”，因为顶点是传输线（物理链路），而不是将电力系统总线表示为顶点的更传统的方法。这些想法使用IEEE 30总线系统的例子表明，“对偶图”的方法可以提供有用的洞察级联如何传播。在本文的第二部分中，我们描述了一种随机化学算法，该算法可以搜索潜在组件中断的可能组合的巨大空间，以有效地找到最危险的组合的大集合。该方法被应用到一个电网与2896个传输分支，并提供了洞察组件停电，明显比其他更有可能触发级联故障。在结论中，我们讨论了潜在的使用这些方法的电力系统规划和操作。
This paper describes two new approaches to cascading failure analysis in power systems that can combine large amounts of data about cascading blackouts to produce information about the ways that cascades may propagate. In the first, we evaluate methods for representing cascading failure information in the form of a graph. We refer to these graphs as “dual graphs” because the vertices are the transmission lines (the physical links), rather than the more conventional approach of representing power system buses as vertices. Examples of these ideas using the IEEE 30 bus system indicate that the “dual graph” methods can provide useful insight into how cascades propagate. In the second part of the paper we describe a random chemistry algorithm that can search through the enormous space of possible combinations of potential component outages to efficiently find large collections of the most dangerous combinations. This method was applied to a power grid with 2896 transmission branches, and provides insight into component outages that are notably more likely than others to trigger a cascading failure. In the conclusions we discuss potential uses of these methods for power systems planning and operations.
DOI：
10.1073/pnas.0601266103
发表时间：
2006-04-11
影响因子：
11.1
作者：
Germann, TC;Kadau, K;Macken, CA
通讯作者：
Macken, CA