Modelling of induction motors for system faults and transient stability studies
Data(s) |
01/04/1986
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Resumo |
The research carried out in this thesis was mainly concerned with the effects of large induction motors and their transient performance in power systems. Computer packages using the three phase co-ordinate frame of reference were developed to simulate the induction motor transient performance. A technique using matrix algebra was developed to allow extension of the three phase co-ordinate method to analyse asymmetrical and symmetrical faults on both sides of the three phase delta-star transformer which is usually required when connecting large induction motors to the supply system. System simulation, applying these two techniques, was used to study the transient stability of a power system. The response of a typical system, loaded with a group of large induction motors, two three-phase delta-star transformers, a synchronous generator and an infinite system was analysed. The computer software developed to study this system has the advantage that different types of fault at different locations can be studied by simple changes in input data. The research also involved investigating the possibility of using different integrating routines such as Runge-Kutta-Gill, RungeKutta-Fehlberg and the Predictor-Corrector methods. The investigation enables the reduction of computation time, which is necessary when solving the induction motor equations expressed in terms of the three phase variables. The outcome of this investigation was utilised in analysing an introductory model (containing only minimal control action) of an isolated system having a significant induction motor load compared to the size of the generator energising the system. |
Formato |
application/pdf |
Identificador |
http://eprints.aston.ac.uk/8049/1/Fahmi1986_742406.pdf Fahmi, Nagi R. (1986). Modelling of induction motors for system faults and transient stability studies. PhD thesis, Aston University. |
Relação |
http://eprints.aston.ac.uk/8049/ |
Tipo |
Thesis NonPeerReviewed |