Information Theoretic Index for Regime Shifts in Power Systems

被引:0
作者
Ren, Lingyu [1 ]
Zhang, Peng [1 ]
Ye, Hua [1 ]
机构
[1] Univ Connecticut, Dept Elect & Comp Engn, Storrs, CT 06269 USA
来源
2015 IEEE POWER & ENERGY SOCIETY GENERAL MEETING | 2015年
关键词
regime shift; Fisher Information; data driven; resilience;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
A regime shift occurs when a dynamical system's state shifts from a nominal equilibrium to an alternative equilibrium. This concept is often used to describe the collapse of ecological systems, but it also appears in many engineering systems; most notably in the voltage collapse of power systems. This paper uses an information theoretic index known as the Fisher Information (FI) as a real-time statistical index detecting regime shifts in a stressed IEEE 118 bus system. These preliminary experiments demonstrate that the FI index indeed provide early warning of abnormal operations leading to voltage instability. As a data driven method the proposed FI index provides a useful tool supporting the real-time monitoring of power system operations.
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收藏
页数:5
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