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Fast procedure for characterization of voltage sag for medium voltage (MV) distribution network without online monitoring using fault and regression analyses

Power Quality (PQ) Management undertaken by most utilities including TNB involves monitoring/online measurement, data processing & analysis, reporting and customers' complaints management. The Malaysian regulator requires proactive communication and PQ disturbance report covering specific d...

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Main Authors: Loo C.K., Au M.T.
Other Authors: 57195481857
Format: Article
Published: Insight Society 2023
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spelling my.uniten.dspace-234232023-05-29T14:40:22Z Fast procedure for characterization of voltage sag for medium voltage (MV) distribution network without online monitoring using fault and regression analyses Loo C.K. Au M.T. 57195481857 9742020600 Power Quality (PQ) Management undertaken by most utilities including TNB involves monitoring/online measurement, data processing & analysis, reporting and customers' complaints management. The Malaysian regulator requires proactive communication and PQ disturbance report covering specific details such as percentage remaining voltage, duration, and cause of voltage sag/dip events to be shared with affected customers. The above-stipulated requirement can be easily met for substations/exposed areas with online PQ measurements, which capture voltage magnitude and duration that could be corroborated with tripping events. However, it is not practical to have online monitoring facilities as the majority of medium voltage (MV) substations are not equipped with voltage and current transformers where measurements could be tapped. Current procedures of characterizing voltage sag for substations without measurements facilities is time-consuming. In this paper, a fast procedure using combinations of fault simulations and regression analysis to characterize voltage sag is proposed. Extensive results from 160 simulation cases comprising 4 network operating configurations, 20 fault distances, and 2 fault types are used in the regression formulation. The results based on the proposed fast procedure for MV distribution network without online monitoring is found to be fairly accurate. Final 2023-05-29T06:40:22Z 2023-05-29T06:40:22Z 2017 Article 10.18517/ijaseit.7.4.2310 2-s2.0-85028365262 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028365262&doi=10.18517%2fijaseit.7.4.2310&partnerID=40&md5=8adef8d970d957956a09e29e5d286866 https://irepository.uniten.edu.my/handle/123456789/23423 7 4 1213 1219 All Open Access, Hybrid Gold Insight Society Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Power Quality (PQ) Management undertaken by most utilities including TNB involves monitoring/online measurement, data processing & analysis, reporting and customers' complaints management. The Malaysian regulator requires proactive communication and PQ disturbance report covering specific details such as percentage remaining voltage, duration, and cause of voltage sag/dip events to be shared with affected customers. The above-stipulated requirement can be easily met for substations/exposed areas with online PQ measurements, which capture voltage magnitude and duration that could be corroborated with tripping events. However, it is not practical to have online monitoring facilities as the majority of medium voltage (MV) substations are not equipped with voltage and current transformers where measurements could be tapped. Current procedures of characterizing voltage sag for substations without measurements facilities is time-consuming. In this paper, a fast procedure using combinations of fault simulations and regression analysis to characterize voltage sag is proposed. Extensive results from 160 simulation cases comprising 4 network operating configurations, 20 fault distances, and 2 fault types are used in the regression formulation. The results based on the proposed fast procedure for MV distribution network without online monitoring is found to be fairly accurate.
author2 57195481857
author_facet 57195481857
Loo C.K.
Au M.T.
format Article
author Loo C.K.
Au M.T.
spellingShingle Loo C.K.
Au M.T.
Fast procedure for characterization of voltage sag for medium voltage (MV) distribution network without online monitoring using fault and regression analyses
author_sort Loo C.K.
title Fast procedure for characterization of voltage sag for medium voltage (MV) distribution network without online monitoring using fault and regression analyses
title_short Fast procedure for characterization of voltage sag for medium voltage (MV) distribution network without online monitoring using fault and regression analyses
title_full Fast procedure for characterization of voltage sag for medium voltage (MV) distribution network without online monitoring using fault and regression analyses
title_fullStr Fast procedure for characterization of voltage sag for medium voltage (MV) distribution network without online monitoring using fault and regression analyses
title_full_unstemmed Fast procedure for characterization of voltage sag for medium voltage (MV) distribution network without online monitoring using fault and regression analyses
title_sort fast procedure for characterization of voltage sag for medium voltage (mv) distribution network without online monitoring using fault and regression analyses
publisher Insight Society
publishDate 2023
_version_ 1806425607740850176
score 13.222552

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