Reducing the order of very large power system models

Reducing the order of very large power system models

Results are presented for reduced-order models of power systems as large as 254 generators and 2500 buses, using the modal-coherency method of model reduction. Extension of order estimation, based on balanced realizations, to larger systems is discussed. An alternative order-estimation approach base...

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Veröffentlicht in:IEEE Trans. Power Syst.; (United States) 1988-02, Vol.3 (1), p.127-133
Hauptverfasser: Troullinos, G., Dorsey, J., Wong, H., Myers, J.
Format: Artikel
Sprache:eng
Schlagworte:
20 FOSSIL-FUELED POWER PLANTS
200104 - Fossil-Fueled Power Plants- Components
990230 - Mathematics & Mathematical Models- (1987-1989)
Applied sciences
BUSES
CALCULATION METHODS
COHERENT PRODUCTION
Controllability
Electrical engineering. Electrical power engineering
Electrical power engineering
ENERGY SYSTEMS
Equations
Exact sciences and technology
GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
MATHEMATICAL MODELS
Observability
PARTICLE PRODUCTION
Power generation
Power networks and lines
Power system analysis computing
Power system dynamics
Power system faults
Power system measurements
Power system modeling
POWER SYSTEMS
Steady-state
Theory. Simulation
TRANSPORTATION SYSTEMS
VEHICLES
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Beschreibung
Zusammenfassung:Results are presented for reduced-order models of power systems as large as 254 generators and 2500 buses, using the modal-coherency method of model reduction. Extension of order estimation, based on balanced realizations, to larger systems is discussed. An alternative order-estimation approach based on the intergenerator coherency ranking table is introduced and compared to the balanced realization approach. The alternative approach is consistent with the balancing results and more than an order of magnitude faster.< >
ISSN:0885-8950
1558-0679
DOI:10.1109/59.43190