Please use this identifier to cite or link to this item:
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/14031
Title: | An analysis on power quality measurement and monitoring techniques for nonlinear load |
Authors: | Shahrul Ashikin, Azmi Mohd Rafi, Adzman Mohd Fayzul, Mohammed Siti Rafidah, Abdul Rahim Zainuddin, Mat Isa Ismail, Daut, Prof. Dr. asyikin@unimap.edu.my |
Keywords: | Voltage sag Transient Harmonic Power quality measurement |
Issue Date: | 15-Mar-2008 |
Publisher: | Universiti Malaysia Perlis (UniMAP) |
Citation: | p. 261-266 |
Series/Report no.: | Proceedings of the Malaysian Technical Universities Conference on Engineering and Technology (MUCET) 2008 |
Abstract: | Electric power quality is an aspect of power engineering that has been with us since the inception of power systems. The measurement of the quality of the electric power in a network is therefore becoming an urging need especially in a deregulated electricity market. In the paper, the types of power quality variation are described and the method of characterizing each type with measurements are presented. By using the advances of power quality monitoring equipment and tools, analysis on power quality measurement result are described. The increased amount af data being collected requires more advanced analysis tools. power quality monitoring has advanced from strictly problem solving to ongoing monitoring of system performance. |
Description: | Malaysian Technical Universities Conference on Engineering and Technology (MUCET) 2008 organized by Malaysian Technical Universities Network (MTUN) comprising of Universiti Malaysia Perlis (UniMAP), Universiti Tun Hussain Onn Malaysia (UTHM), Universiti Teknikal Malaysia (UTeM) and Universiti Malaysia Pahang (UMP), 15th - 16th March 2008 at Putra Palace, Perlis, Malaysia. |
URI: | http://dspace.unimap.edu.my/123456789/14031 |
Appears in Collections: | Conference Papers Ismail Daut, Prof. Dr. |
Files in This Item:
File | Description | Size | Format | |
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an analysis on power quality measurement and monitoring techniques for nonlinear load.pdf | 586.16 kB | Adobe PDF | View/Open |
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