Universiti Teknologi Malaysia Institutional Repository

Frequency variations measurement techniques in power quality monitoring

Wood, Terence (2008) Frequency variations measurement techniques in power quality monitoring. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering.

[img] PDF
Restricted to Repository staff only

1008Kb
[img] PDF (Abstract)
49Kb
[img] PDF (Table Of Content)
65Kb
[img] PDF (1st Chapter)
43Kb

Abstract

Power quality is a term used to describe electric power that motivates an electrical load and the load's ability to function properly with that electric power. Without the proper power, an electrical device load may malfunction, fail prematurely or not operate at all. There are many ways in which electric power can be of poor quality and many more causes of such poor quality power. The aim of this thesis is to study measurement techniques available in monitoring power system frequency particularly using the Least Square Error (LSE) method and neural network approach (ADALINE). The algorithms for the various measurement methods in this thesis were implemented using MATLAB. Results concluded that the neural network approach (ADALINE) is much better for frequency approximation although the LES algorithm provides an easier measurement method. The LES technique was found to be not accurate in the presence of noise and harmonics. Further studies could be done on recursive LES which may compensate the drawbacks of non-recursive LES algorithm which was studied in this work.

Item Type:Thesis (Masters)
Additional Information:Thesis (Sarjana Kejuruteraan (Elektrik - kuasa)) - Universiti Teknologi Malaysia, 2008; Supervisor : Assoc. Prof. Dr. Mohd Wazir Mustafa
Uncontrolled Keywords:electric power, power quality, electrical device load
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:9588
Deposited By: Ms Zalinda Shuratman
Deposited On:28 Dec 2009 01:50
Last Modified:11 Sep 2012 03:52

Repository Staff Only: item control page