Model reduction of interconnected power systems via balanced state-space representation

2007 European Control Conference (ECC) ◽

10.23919/ecc.2007.7068443 ◽

2007 ◽

Author(s):

Bogdan Marinescu ◽

Badis Mallem ◽

Luis Rouco

Keyword(s):

Power Systems ◽

Model Reduction ◽

State Space ◽

Space Representation ◽

State Space Representation ◽

Interconnected Power Systems

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State space representation of interconnected power systems for dynamic interaction studies

Electric Power Systems Research ◽

10.1016/0378-7796(82)90027-x ◽

1982 ◽

Vol 5 (4) ◽

pp. 315-330 ◽

Author(s):

Michele Brucoli ◽

Francesco Torelli ◽

Michele Trovato

Keyword(s):

Power Systems ◽

State Space ◽

Dynamic Interaction ◽

Space Representation ◽

State Space Representation ◽

Interaction Studies ◽

Interconnected Power Systems

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Model reduction and dynamic matrices extraction from state-space representation applied to rotating machines

Mechanism and Machine Theory ◽

10.1016/j.mechmachtheory.2020.103804 ◽

2020 ◽

Vol 149 ◽

pp. 103804

Author(s):

Leonardo B. Saint Martin ◽

Ricardo U. Mendes ◽

Katia L. Cavalca

Keyword(s):

Model Reduction ◽

State Space ◽

Space Representation ◽

Rotating Machines ◽

State Space Representation

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Model reduction via the internally balanced state space representation

Journal of Statistical Computation and Simulation ◽

10.1080/00949658908811200 ◽

1989 ◽

Vol 33 (4) ◽

pp. 233-248 ◽

Author(s):

Lealand E. Crabbe ◽

Brian B. Young

Keyword(s):

Model Reduction ◽

State Space ◽

Space Representation ◽

State Space Representation

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State-space representation of Li-ion battery porous electrode impedance model with balanced model reduction

Journal of Power Sources ◽

10.1016/j.jpowsour.2014.02.063 ◽

2015 ◽

Vol 273 ◽

pp. 1226-1236 ◽

Author(s):

Myungsoo Jun ◽

Kandler Smith ◽

Peter Graf

Keyword(s):

Model Reduction ◽

State Space ◽

Porous Electrode ◽

Space Representation ◽

Electrode Impedance ◽

Li Ion Battery ◽

Impedance Model ◽

State Space Representation ◽

Li Ion ◽

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Matrix Method to Linearization and State Space Representation of Power Systems Containing Doubly Fed Induction Machines Operating as Wind Generators

2006 IEEE/PES Transmission & Distribution Conference and Exposition: Latin America ◽

10.1109/tdcla.2006.311613 ◽

2006 ◽

Author(s):

L. Barros ◽

W. Mota ◽

D. P. Moura

Keyword(s):

Power Systems ◽

State Space ◽

Matrix Method ◽

Induction Machines ◽

Space Representation ◽

State Space Representation ◽

Wind Generators ◽

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13.1. The State-Space Representation of a Dynamic System

Time Series Analysis ◽

10.1515/9780691218632-111 ◽

1994 ◽

pp. 372-377

Keyword(s):

Dynamic System ◽

State Space ◽

The State ◽

Space Representation ◽

State Space Representation

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A note on the state space representation of aeroelastic systems for time domain analysis

Journal of Fluids and Structures ◽

10.1016/j.jfluidstructs.2021.103294 ◽

2021 ◽

Vol 104 ◽

pp. 103294

Author(s):

Douglas D. Bueno ◽

Earl H. Dowell

Keyword(s):

State Space ◽

Time Domain ◽

Time Domain Analysis ◽

Domain Analysis ◽

The State ◽

Space Representation ◽

State Space Representation

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Predicting equity premium using dynamic model averaging. Does the state–space representation matter?

The North American Journal of Economics and Finance ◽

10.1016/j.najef.2021.101442 ◽

2021 ◽

Vol 57 ◽

pp. 101442

Author(s):

Nima Nonejad

Keyword(s):

State Space ◽

Dynamic Model ◽

Equity Premium ◽

Model Averaging ◽

The State ◽

Space Representation ◽

State Space Representation ◽

Dynamic Model Averaging

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Fractional order state space representation of structural hysteresis

10.2514/6.1997-1152 ◽

1997 ◽

Author(s):

Jerzy Sawicki ◽

Joe Padovan ◽

Jerzy Sawicki ◽

Joe Padovan

Keyword(s):

State Space ◽

Fractional Order ◽

Space Representation ◽

State Space Representation ◽

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A unified framework for modeling slow response self-powered neutron detectors with discrete-time state-space representation

2013 3rd International Conference on Advancements in Nuclear Instrumentation, Measurement Methods and their Applications (ANIMMA) ◽

10.1109/animma.2013.6728071 ◽

2013 ◽

Author(s):

Daowei Bi ◽

Dongling Xu ◽

Jiangtao Bu

Keyword(s):

State Space ◽

Discrete Time ◽

Space Representation ◽

Slow Response ◽

Unified Framework ◽

Neutron Detectors ◽

State Space Representation ◽

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