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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

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dc.contributor.authorLoo C.K.en_US
dc.contributor.authorAu M.T.en_US
dc.contributor.authorid57195481857en_US
dc.contributor.authorid9742020600en_US
dc.date.accessioned2023-05-29T06:40:22Z
dc.date.available2023-05-29T06:40:22Z
dc.date.issued2017
dc.description.abstractPower 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.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.18517/ijaseit.7.4.2310
dc.identifier.epage1219
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85028365262
dc.identifier.spage1213
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85028365262&doi=10.18517%2fijaseit.7.4.2310&partnerID=40&md5=8adef8d970d957956a09e29e5d286866
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23423
dc.identifier.volume7
dc.publisherInsight Societyen_US
dc.relation.ispartofAll Open Access, Hybrid Gold
dc.sourceScopus
dc.sourcetitleInternational Journal on Advanced Science, Engineering and Information Technology
dc.titleFast procedure for characterization of voltage sag for medium voltage (MV) distribution network without online monitoring using fault and regression analysesen_US
dc.typeArticleen_US
dspace.entity.typePublication
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