Artificial Immune System (AIS) application for maximum loadability determination / Mohd Noramar Mohd Munawar

Mohd Munawar, Mohd Noramar (2005) Artificial Immune System (AIS) application for maximum loadability determination / Mohd Noramar Mohd Munawar. Degree thesis, Universiti Teknologi MARA (UiTM).

Abstract

This project report presents the Artificial Immune System (AIS) application to determine the maximum loadability. This project determines the maximum loadability at the PQ buses in a power system. The technique presented here generates exact estimates of the maximum possible amount of load increase that the system can tolerate along a specific path, as well as the corresponding voltage vector. The proposed technique was tested on the IEEE 30 bus Realibility Test System (RTS) and the result proved that the proposed technique is able to estimates the maximum loadability in a system.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Mohd Munawar, Mohd Noramar
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Abd Rahman, Titik Khawa
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Artificial immune systems. Immunocomputers
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Production of electric energy or power. Powerplants. Central stations
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electric power distribution. Electric power transmission
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering
Programme: Bachelor of Electrical Engineering (Hons)
Keywords: Artificial immune system, maximum loadability, power flow analysis
Date: 2005
URI: https://ir.uitm.edu.my/id/eprint/67233
Edit Item
Edit Item

Download

[thumbnail of 67233.pdf] Text
67233.pdf

Download (101kB)

Digital Copy

Digital (fulltext) is available at:

Physical Copy

Physical status and holdings:
Item Status:
On Shelf

ID Number

67233

Indexing

Statistic

Statistic details