Generalised scalable fault dependent time invariant state space model for large interconnected power systems

S Saha; M Aldeen

doi:10.1016/j.ijepes.2014.02.034

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Generalised scalable fault dependent time invariant state space model for large interconnected power systems

Journal article

Peer reviewed

Generalised scalable fault dependent time invariant state space model for large interconnected power systems

S Saha and M Aldeen

International Journal of Electrical Power & Energy Systems, Vol.60, pp.165-181

2014

DOI: https://doi.org/10.1016/j.ijepes.2014.02.034

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Abstract

Electrical engineering. Electrical power engineering

Miscellaneous

Power networks and lines

Electrical power engineering

Exact sciences and technology

Theory. Simulation

Applied sciences

Electrical machines

Regulation and control

In this paper a scalable fault-dependent time invariant nonlinear dynamic state space model of power systems experiencing symmetrical or unsymmetrical fault in the transmission/distribution network is introduced. The power system comprises generating units interconnected to the transmission/distribution networks. Each generating unit is modelled by incorporating full stator and rotor dynamics of a synchronous machine along with the associated excitation and speed governor systems. Proposed modelling approach has been carried out in generic fashion so that power systems of any description can be configured easily by using a user interface simple selection menu. The modelling approach employs a series of coordinate transformations including Park’s and symmetrical components. The validity of the derived model is verified through simulation studies carried out on the IEEE 30 bus test system. Such a scalable full fault-dependent model has not been reported in the open literature previously.

Details

Title: Generalised scalable fault dependent time invariant state space model for large interconnected power systems
Authors: S Saha (Author) - University of Melbourne
M Aldeen (Author) - University of Melbourne
Publication details: International Journal of Electrical Power & Energy Systems, Vol.60, pp.165-181
Publisher: Elsevier Ltd
DOI: 10.1016/j.ijepes.2014.02.034
ISSN: 1879-3517
Organisation Unit: University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering
Language: English
Record Identifier: 99532107802621
Output Type: Journal article

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