An artificial neural network based technique for evaluating the effect of generator outage contingencies / Filzah Abdul Kadir
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...
Main Author: | |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2007
|
Subjects: | |
Online Access: | http://ir.uitm.edu.my/id/eprint/4841/ http://ir.uitm.edu.my/id/eprint/4841/1/TM_FILZAH%20ABDUL%20KADIR%20EE%2007_5.pdf |
Summary: | 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. |
---|