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Title: Approximate Bisimulation-Based Reduction of Power System Dynamic Models

Abstract

In this paper we propose approximate bisimulation relations and functions for reduction of power system dynamic models in differential- algebraic (descriptor) form. The full-size dynamic model is obtained by linearization of the nonlinear transient stability model. We generalize theoretical results on approximate bisimulation relations and bisimulation functions, originally derived for a class of constrained linear systems, to linear systems in descriptor form. An algorithm for transient stability assessment is proposed and used to determine whether the power system is able to maintain the synchronism after a large disturbance. Two benchmark power systems are used to illustrate the proposed algorithm and to evaluate the applicability of approximate bisimulation relations and bisimulation functions for reduction of the power system dynamic models.

Authors:
; ;
Publication Date:
Sponsoring Org.:
USDOE Advanced Research Projects Agency - Energy (ARPA-E)
OSTI Identifier:
1211455
DOE Contract Number:  
DE-AR0000223
Resource Type:
Journal Article
Journal Name:
IEEE Transactions on Power Systems
Additional Journal Information:
Journal Volume: 30; Journal Issue: 3; Journal ID: ISSN 0885-8950
Country of Publication:
United States
Language:
English

Citation Formats

Stankovic, AM, Dukic, SD, and Saric, AT. Approximate Bisimulation-Based Reduction of Power System Dynamic Models. United States: N. p., 2015. Web. doi:10.1109/TPWRS.2014.2342504.
Stankovic, AM, Dukic, SD, & Saric, AT. Approximate Bisimulation-Based Reduction of Power System Dynamic Models. United States. doi:10.1109/TPWRS.2014.2342504.
Stankovic, AM, Dukic, SD, and Saric, AT. Fri . "Approximate Bisimulation-Based Reduction of Power System Dynamic Models". United States. doi:10.1109/TPWRS.2014.2342504.
@article{osti_1211455,
title = {Approximate Bisimulation-Based Reduction of Power System Dynamic Models},
author = {Stankovic, AM and Dukic, SD and Saric, AT},
abstractNote = {In this paper we propose approximate bisimulation relations and functions for reduction of power system dynamic models in differential- algebraic (descriptor) form. The full-size dynamic model is obtained by linearization of the nonlinear transient stability model. We generalize theoretical results on approximate bisimulation relations and bisimulation functions, originally derived for a class of constrained linear systems, to linear systems in descriptor form. An algorithm for transient stability assessment is proposed and used to determine whether the power system is able to maintain the synchronism after a large disturbance. Two benchmark power systems are used to illustrate the proposed algorithm and to evaluate the applicability of approximate bisimulation relations and bisimulation functions for reduction of the power system dynamic models.},
doi = {10.1109/TPWRS.2014.2342504},
journal = {IEEE Transactions on Power Systems},
issn = {0885-8950},
number = 3,
volume = 30,
place = {United States},
year = {2015},
month = {5}
}