Performance Comparison of Identification Methods Applied to Power Systems for FACTS Controller Design

This paper presents the performance comparison of three identification methods, from standpoint of studying power system low-frequency electromechanical oscillations for FACTS controller design. The output error method, the Steiglitz-McBride algorithm and the least square method for auto regressive...

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Bibliographic Details
Published in2006 IEEE International Conference on Industrial Technology pp. 2268 - 2273
Main Authors Pourramazan, R., Vaez-Zadeh, S., Nourzadeh, H.R.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2006
Subjects
Algorithm design and analysis
Control systems
Eigenvalues and eigenfunctions
Frequency domain analysis
Iterative algorithms
Least squares methods
Power system analysis computing
Power system modeling
Power system simulation
Power systems
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Summary:This paper presents the performance comparison of three identification methods, from standpoint of studying power system low-frequency electromechanical oscillations for FACTS controller design. The output error method, the Steiglitz-McBride algorithm and the least square method for auto regressive exogenous input model structure are used to identify the low-order linear models of a sample two-area test power system from its time domain simulation data. The used data is obtained by applying a pseudo random binary signal to the system. the frequency domain characteristics and modal compassion of the identified systems, and the time domain results of the FACTS controller designed using these systems are used to compare the performance of three methods.
ISBN:1424407257
9781424407255
DOI:10.1109/ICIT.2006.372551