Browse By Repository:

 
 
 
   

Development Of Power Quality Management System

Roshalina, Rosley (2009) Development Of Power Quality Management System. Project Report. UTeM, Melaka, Malaysia. (Submitted)

[img] PDF (24 Pages)
Development_Of_Power_Quality_Management_-_TK1010_.R68_2009.pdf - Submitted Version

Download (1MB)
[img] PDF (Full Text)
Development_Of_Power_Quality_Management_-_TK1010_.R68_2009.pdf - Submitted Version
Restricted to Registered users only

Download (8MB)

Abstract

This project is to be design base on monitoring system. The application of this project are to monitor power quality by analyze and interpret raw data into useful information with minimum human intervention. Power quality monitoring is often driven by the demand for improving the system wide power quality performance. The Matlab software was used to develop monitoring system and Microsoft Excel was used as a database for this project. There are several types of disturbance at power quality which are the voltage sag, flicker, voltage regulation (unbalance), transient and harmonic distortion. The monitoring system will calculate the value of root mean square (RMS), instantaneous frequency using zero crossiIlg method and frequency domain analysis using Fast Fourier transform. From the calculation value it will produce several graph that can enable the analysis and monitoring of the power signal. This project provides the opportunity to learn how to develop database system by using Matlab and also learn about mechanism of power quality.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Electric utilities -- Quality control
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Library > Final Year Project > FKE
Depositing User: Jefridzain Jaafar
Date Deposited: 22 Jun 2012 08:48
Last Modified: 28 May 2015 02:37
URI: http://digitalcollection.utem.edu.my/id/eprint/3731

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year