An artificial neural network based technique for evaluating the effect of generator outage contingencies / Filzah Abdul Kadir

Abdul Kadir, Filzah (2007) An artificial neural network based technique for evaluating the effect of generator outage contingencies / Filzah Abdul Kadir. Masters thesis, Universiti Teknologi MARA.

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Abstract

This thesis presents the development of a fast and accurate approach using Artificial Neural Network Based Technique to evaluate the performance of power system during forced generator outages incident. Prior to the forced generator outages,the power system could be in stable state or unstable state. In this research, the evaluation of a power system performance was measured through the voltage, frequency and angle of the system.

Item Type: Thesis (Masters)
Creators:
CreatorsEmail
Abdul Kadir, FilzahUNSPECIFIED
Subjects: Q Science > QA Mathematics > Instruments and machines > Electronic computers. Computer science > Neural networks (Computer science)
Q Science > QA Mathematics > Instruments and machines > Electronic computers. Computer science > Neural networks (Computer science)

T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Dynamoelectric machinery and auxiliaries.Including generators, motors, transformers
Divisions: Faculty of Electrical Engineering
Item ID: 4841
Uncontrolled Keywords: Generators on Forced Outages, Dynamic Stability Analysis, Stability Criteria, Artificial Neural Network (ANN)
Last Modified: 06 Sep 2018 09:20
Depositing User: Staf Pendigitalan 1
URI: http://ir.uitm.edu.my/id/eprint/4841

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