Transient state estimation with the Bergeron transmission line model

© TÜBİTAK. Transient state estimation (TSE) was used to determine the state values that have no measurement equipment placed in an electric power system with transient phenomena. Previous papers used the PI model for TSE with a short transmission line, but longer lines require the development of alg...

Full description

Saved in:
Bibliographic Details
Main Authors: Naret Suyaroj, Suttichai Premrudeepreechacharn, Neville Robert Watson
Format: Journal
Published: 2018
Subjects:
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85017386713&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/46737
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Chiang Mai University
id th-cmuir.6653943832-46737
record_format dspace
spelling th-cmuir.6653943832-467372018-04-25T07:32:03Z Transient state estimation with the Bergeron transmission line model Naret Suyaroj Suttichai Premrudeepreechacharn Neville Robert Watson Engineering Agricultural and Biological Sciences © TÜBİTAK. Transient state estimation (TSE) was used to determine the state values that have no measurement equipment placed in an electric power system with transient phenomena. Previous papers used the PI model for TSE with a short transmission line, but longer lines require the development of algorithms that include the distributed parameters of transmission lines with the Bergeron model. The test system was a 10-bus power system. The simulated transient was caused by a fault event, resulting in different persistent voltage drops that ranged from 10% to 90% at selected buses. In addition, noises were applied to evaluate the algorithm, which was defined to be normally distributed. Noise at 1%, 2%, and 3% was added to all measurements. The results showed that the developed TSE provided good estimation at the locations that had no measurement equipment for distributed transmission lines. 2018-04-25T07:00:03Z 2018-04-25T07:00:03Z 2017-01-01 Journal 13036203 13000632 2-s2.0-85017386713 10.3906/elk-1507-41 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85017386713&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/46737
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Engineering
Agricultural and Biological Sciences
spellingShingle Engineering
Agricultural and Biological Sciences
Naret Suyaroj
Suttichai Premrudeepreechacharn
Neville Robert Watson
Transient state estimation with the Bergeron transmission line model
description © TÜBİTAK. Transient state estimation (TSE) was used to determine the state values that have no measurement equipment placed in an electric power system with transient phenomena. Previous papers used the PI model for TSE with a short transmission line, but longer lines require the development of algorithms that include the distributed parameters of transmission lines with the Bergeron model. The test system was a 10-bus power system. The simulated transient was caused by a fault event, resulting in different persistent voltage drops that ranged from 10% to 90% at selected buses. In addition, noises were applied to evaluate the algorithm, which was defined to be normally distributed. Noise at 1%, 2%, and 3% was added to all measurements. The results showed that the developed TSE provided good estimation at the locations that had no measurement equipment for distributed transmission lines.
format Journal
author Naret Suyaroj
Suttichai Premrudeepreechacharn
Neville Robert Watson
author_facet Naret Suyaroj
Suttichai Premrudeepreechacharn
Neville Robert Watson
author_sort Naret Suyaroj
title Transient state estimation with the Bergeron transmission line model
title_short Transient state estimation with the Bergeron transmission line model
title_full Transient state estimation with the Bergeron transmission line model
title_fullStr Transient state estimation with the Bergeron transmission line model
title_full_unstemmed Transient state estimation with the Bergeron transmission line model
title_sort transient state estimation with the bergeron transmission line model
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85017386713&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/46737
_version_ 1681422929886183424