Voltage stability has been identified as a crucial issue in power system study which causes several problems such as blackout. This phenomenon has made this subject a very relevant issue in power system planning and operation. This project presents an Artificial Neural Network (ANN) approach for determine voltage stability prediction in power system network. The objective of this project is to develop ANN model for the voltage stability prediction in power system. Other objective is to develop ANN training algorithm and ANN testing algorithm of the network in determine voltage stability. The proposed technique was tested on the IEEE 30 bus reliability test system (RTS) power system and the result shows that a good prediction for voltage stability condition of the system was obtained.
| Item Type: | Student Project |
|---|---|
| Creators: | Creators Email / ID Num. Wahab, Mohd Khairul Azlan UNSPECIFIED |
| Contributors: | Contribution Name Email / ID Num. Advisor Johari, Dalina UNSPECIFIED Advisor Musirin, Ismail UNSPECIFIED |
| Subjects: | T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electric apparatus and materials. Electric circuits. Electric networks T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunication > Computer networks. General works. Traffic monitoring |
| Divisions: | Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering |
| Programme: | Degree of Electrical Engineering |
| Keywords: | Voltage Stability, Artificial Neural Network (ANN), ANN Training Code, ANN Testing Code, Reliability Test System (RTS) |
| Date: | January 2012 |
| URI: | https://ir.uitm.edu.my/id/eprint/134388 |
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