Modal analysis of power systems with eigendecomposition of multivariate autoregressive models

Author

Seppanen, Janne M. ; Haarla, Liisa C. ; Turunen, Jari

Author_Institution

Sch. of Electr. Eng., Dept. of Electr. Eng., Aalto Univ., Espoo, Finland

fYear

2013

fDate

16-20 June 2013

Firstpage

1

Lastpage

6

Abstract

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.

Keywords

autoregressive processes; eigenvalues and eigenfunctions; modal analysis; power system measurement; power system simulation; power system stability; New England test system; Nordic power system; eigendecomposition; electromechanical modes analysis; electromechanical oscillations; electromechanical oscillatory modes; measurement based modal analysis; multivariate autoregressive models; power system stability; power systems modal analysis; wide area monitoring system; wide-area monitoring; Analytical models; Damping; Data models; Frequency estimation; Oscillators; Power system stability; Signal to noise ratio; Electromechanical oscillation; modal analysis; multivariate methods; power system stability; wide area monitoring;

fLanguage

English

Publisher

ieee

Conference_Titel

PowerTech (POWERTECH), 2013 IEEE Grenoble

Conference_Location

Grenoble

Type

conf

DOI

10.1109/PTC.2013.6652230

Filename

6652230