Modal Analysis of Power Systems with Eigendecomposition of Multivariate Autoregressive Models

被引：0
|
作者：
Seppanen, Janne M. [1 ]
Haarla, Liisa C. [1 ]
Turunen, Jukka [2 ]
机构：
[1] Aalto Univ, Dept Elect Engn, Sch Elect Engn, Espoo, Finland
[2] Statnett SF, Oslo, Norway
来源：
2013 IEEE GRENOBLE POWERTECH (POWERTECH) | 2013年
关键词：
Electromechanical oscillation; modal analysis; multivariate methods; power system stability; wide area monitoring; ELECTROMECHANICAL MODES; EIGENMODES; PARAMETERS;
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：
Analysis of electromechanical modes provides substantial information regarding the power system stability. This paper introduces a novel approach to the measurement based modal analysis of power systems by using a multivariate autoregressive model (MAR). The MAR model utilizes data that are simultaneously measured from several locations in the power system through a wide area monitoring system (WAMS). The performance of the MAR model is analyzed by applying it to data generated with a 39-bus New England test system. In addition, the model is utilized for analyzing data generated with a detailed simulation model of the Nordic power system. The results indicate that the frequencies and damping ratios of electromechanical oscillatory modes can be accurately analyzed with the eigendecomposition of the MAR model. Thus, the MAR model is a promising identification technique for wide-area monitoring of electromechanical oscillations.
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页数：6
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