DocumentCode
2020938
Title
Enhanced measurement-based dynamic equivalence using coherency identification
Author
Soobae Kim ; Overbye, Thomas J.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Illinois Urbana-Champaign, Urbana, IL, USA
fYear
2013
fDate
22-23 Feb. 2013
Firstpage
200
Lastpage
205
Abstract
Power system dynamic simulation demands substantial computation due to extensive interconnection among power systems. Traditionally, the computational burden has been reduced by using dynamic equivalent methodologies, such as modal, coherency and measurement-based. Measurement-based method replaces an external system with a simple equivalent and estimates its parameters through optimization method with measurement. However, the conventional method does not clearly present the model structure for the external equivalent. This ambiguity, then, may lead to poor performance of the equivalent. The proposed method uses generator equivalent model and shows how to choose a proper number of generators for the equivalent model structure using coherency concept. The approach preserves relevant modes from the external and thus enhances the simulation performance of the dynamic equivalent. Test results of a simple power system are presented and show a high level of accuracy of the proposed method.
Keywords
optimisation; power system interconnection; power system measurement; power system parameter estimation; coherency identification; dynamic equivalent; generator equivalent model; measurement-based dynamic equivalence; optimization method; parameter estimation; power system dynamic simulation; power system interconnection; substantial computation; Generators; Load modeling; Mathematical model; Power system dynamics; Power system transients; Rotors; Transmission line measurements; Dynamic equivalent; Power system dynamic simulation; coherency identification; measurement-based method;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Conference at Illinois (PECI), 2013 IEEE
Conference_Location
Champaign, IL
Print_ISBN
978-1-4673-5601-5
Type
conf
DOI
10.1109/PECI.2013.6506058
Filename
6506058
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