Applications of complex network theory on power grids

M. Jawad, B. Gou
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引用次数: 9

Abstract

Complex network statistical analysis tools are helpful to understand silent features of complex systems. One of the most important system growing intentions in recent days is power grid. Complex system like power system with specific topology can undergo a local or global cascade failure. Prediction and prevention of these cascade failures or blackouts is obligatory. In this paper some of the most important properties of power grids infrastructure are investigated using Complex Network Theory (CNT) techniques and methodologies. Discussions are conducted on different measures of network structures of IEEE 118 and Polish 2383 bus systems. These results and structure of power network has important implication on reliability and security.
复杂网络理论在电网中的应用
复杂网络统计分析工具有助于理解复杂系统的沉默特征。近年来最重要的系统增长意图之一是电网。具有特定拓扑结构的电力系统等复杂系统可能发生局部或全局级联故障。预测和预防这些级联故障或停电是必须的。本文采用复杂网络理论(CNT)技术和方法研究了电网基础设施的一些最重要的特性。讨论了ieee118和波兰2383总线系统网络结构的不同措施。这些结果和结构对电网的可靠性和安全性具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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