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Digital Library

of the European Council for Modelling and Simulation

 

Title:

A Matlab-Based Simulation Tool For The Analysis Of Unsymmetrical Power System Transients In Large Networks

Authors:

Michael Kyesswa, Hueseyin K. Cakmak, Uwe Kuehnapfel, Veit Hagenmeyer

Published in:

 

 

 

(2018). ECMS 2018 Proceedings Edited by: Lars Nolle, Alexandra Burger, Christoph Tholen, Jens Werner, Jens Wellhausen European Council for Modeling and Simulation. doi: 10.7148/2018-0005

 

ISSN: 2522-2422 (ONLINE)

ISSN: 2522-2414 (PRINT)

ISSN: 2522-2430 (CD-ROM)

 

32nd European Conference on Modelling and Simulation,

Wilhelmshaven, Germany, May 22nd – May 265h, 2018

 

 

Citation format:

Michael Kyesswa, Hueseyin K. Cakmak, Uwe Kuehnapfel, Veit Hagenmeyer (2018). A Matlab-Based Simulation Tool For The Analysis Of Unsymmetrical Power System Transients In Large Networks, ECMS 2018 Proceedings Edited by: Lars Nolle, Alexandra Burger, Christoph Tholen, Jens Werner, Jens Wellhausen European Council for Modeling and Simulation. doi: 10.7148/2018-0246

DOI:

https://doi.org/10.7148/2018-0246

Abstract:

This paper presents an extendable Matlab-based phasor-time domain toolbox for modeling, simulation and analysis of unsymmetrical power system transients in large networks. Unlike most of the existing transient stability simulators which represent the transmission network on a per phase positive sequence basis, the new simulation function introduced in this paper is based on the symmetrical component technique which employs the three sequence networks. This representation allows consideration of network imbalances in order to include a wide range of disturbances during transient stability studies. The main aim of this paper is to describe the model details of the power system components required for unsymmetrical transients analysis and the solution methodology in the introduced simulation function. The performance of the simulation function is tested using standard IEEE test network models and the promising results are positively compared to respective results in DIgSILENT PowerFactory in terms of accuracy.

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