System voltage sag performance estimation

Voltage sags are considered as the most important power quality problem for customers in Singapore. It can occur at any location in a power distribution system. Unfortunately, customers in all sectors such as residential, commercial and industrial have more sensitive loads compared to 10 years ago....

Full description

Saved in:
Bibliographic Details
Main Author: Liao, Yungui.
Other Authors: Chen Shiun
Format: Theses and Dissertations
Language:English
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/10356/18878
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-18878
record_format dspace
spelling sg-ntu-dr.10356-188782023-07-04T15:21:46Z System voltage sag performance estimation Liao, Yungui. Chen Shiun School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution Voltage sags are considered as the most important power quality problem for customers in Singapore. It can occur at any location in a power distribution system. Unfortunately, customers in all sectors such as residential, commercial and industrial have more sensitive loads compared to 10 years ago. As a result, customers with sensitive loads would like to find out the extent of voltage sags that their devices would be subjected to so that preventive or corrective measures can be planned. Unfortunately, there isn’t any readily available method for determining the system performance other than through long period of measurements over several years. A new analytical technique has recently being adapted from reliability analysis, and it has been proven to be successful in providing this estimation. This project, base on this analytical technique, constructs a sag density table to estimate the number of sag events that are expected to occur within a certain period. The Roy Billington Test System is used as the basic experiment system for this estimation. All types of symmetrical and unsymmetrical fault are considered/ with the help of this table, the voltage sag characteristics can be made known. Master of Science (Power Engineering) 2009-07-22T07:08:01Z 2009-07-22T07:08:01Z 2008 2008 Thesis http://hdl.handle.net/10356/18878 en 99 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution
Liao, Yungui.
System voltage sag performance estimation
description Voltage sags are considered as the most important power quality problem for customers in Singapore. It can occur at any location in a power distribution system. Unfortunately, customers in all sectors such as residential, commercial and industrial have more sensitive loads compared to 10 years ago. As a result, customers with sensitive loads would like to find out the extent of voltage sags that their devices would be subjected to so that preventive or corrective measures can be planned. Unfortunately, there isn’t any readily available method for determining the system performance other than through long period of measurements over several years. A new analytical technique has recently being adapted from reliability analysis, and it has been proven to be successful in providing this estimation. This project, base on this analytical technique, constructs a sag density table to estimate the number of sag events that are expected to occur within a certain period. The Roy Billington Test System is used as the basic experiment system for this estimation. All types of symmetrical and unsymmetrical fault are considered/ with the help of this table, the voltage sag characteristics can be made known.
author2 Chen Shiun
author_facet Chen Shiun
Liao, Yungui.
format Theses and Dissertations
author Liao, Yungui.
author_sort Liao, Yungui.
title System voltage sag performance estimation
title_short System voltage sag performance estimation
title_full System voltage sag performance estimation
title_fullStr System voltage sag performance estimation
title_full_unstemmed System voltage sag performance estimation
title_sort system voltage sag performance estimation
publishDate 2009
url http://hdl.handle.net/10356/18878
_version_ 1772826919792803840