A distributed inverse iteration method for eigenvalue analysis of interconnected power systems

被引：1

作者：

Chen, Shen ^{[1
]}

Ying, Chen ^{[1
]}

Xu, Zhang ^{[1
]}

机构：

[1] Tsing Hua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R China

来源：

SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES | 2007年 / 50卷 / 06期

关键词：

distributed computing; eigenvalue; small signal stability; inverse iteration method;

D O I：

10.1007/s11431-007-0082-5

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Since China power grids have a hierarchical architecture in operation and management, centralized computation patterns are difficult to meet the demands of small-signal-stability analysis of the bulk interconnected power systems. A distributed eigenvalue algorithm derived from the inverse iteration method is proposed. It can not only obtain eigenvalues and eigenvectors from power system state matrix but also provide participation factors of all generators. In the computing process, the algorithm only requires exchanging data of boundary nodes and a small amount of other information of different regions. Therefore, it is very suitable to be deployed in a WAN (wide area network) based distributed environment. The algorithm has been tested on an IEEE39 system.

引用

页码：774 / 785

页数：12

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