Abstract
This project discusses the voltage stability prediction of a power system using Artificial Neural Network (ANN). Voltage instability is the one of the causes for a power system to breakdown. This incident is caused by severe low voltage condition which leads to blackouts to all system. The voltage stability prediction is essential in power system planning in order to prevent voltage collapse due to instability of voltage in power system. The voltage stability for each bus 1s determined by Voltage Stability Index (VSI). The value obtain from the VSI can determine the voltage stability for each bus in the system. There are two types of bus that will be use to determine the voltage stability prediction in power system which is 69-bus and 30-bus. A comparative study was conducted with Artificial Neural Network (ANN)-based prediction.
Metadata
Item Type: | Thesis (Degree) |
---|---|
Creators: | Creators Email / ID Num. Mat Rahim, Nur Adha Hanif UNSPECIFIED |
Contributors: | Contribution Name Email / ID Num. Thesis advisor Mohd. Arshad, Pauziah UNSPECIFIED |
Subjects: | Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Neural networks (Computer science) |
Divisions: | Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering |
Programme: | Bachelor of Electrical Engineering (Hons) |
Keywords: | Artificial neural network (ANN), voltage instability, voltage stability prediction |
Date: | 2014 |
URI: | https://ir.uitm.edu.my/id/eprint/78122 |
Download
![[thumbnail of 78122.pdf]](https://ir.uitm.edu.my/style/images/fileicons/text.png)
78122.pdf
Download (125kB)
Digital Copy
![](/images/terminal.jpg)
![](/images/mykm.jpg)
Physical Copy
![](/images/shelf.png)
ID Number
78122
Indexing
![](https://library.uitm.edu.my/images/2020/01/23/googlescholar-01.png)
![](https://www.base-search.net/interface/images/base_logo_kl.png)