Application of Dynamic Thermal Rating: Overhead Line Critical Spans Identification Under Weather Dependent Optimized Sensor Placement

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aut.filerelease.date2022-03-19
aut.relation.articlenumber106125en_NZ
aut.relation.journalElectric Power Systems Researchen_NZ
aut.relation.volume180en_NZ
aut.researcherLie, Tek
dc.contributor.authorTalpur, Sen_NZ
dc.contributor.authorLie, TTen_NZ
dc.contributor.authorZamora, Ren_NZ
dc.date.accessioned2020-03-19T02:08:38Z
dc.date.available2020-03-19T02:08:38Z
dc.date.copyright2019-11-28en_NZ
dc.date.issued2019-11-28en_NZ
dc.description.abstractDynamic thermal rating (DTR) for an overhead transmission line is a viable and cost-effective technique based on real weather conditions to mitigate congestion and avoid load shedding for reliable transfer of the required electricity. Spans of overhead lines passing through multiple geographical regions face diverse weather conditions and varying terrain, and thus need to be monitored to obtain reliable estimates of line loadability. Spans facing the worst weather and with the longest length determine the absolute minimum line loadability and are therefore known as critical spans. Identifying critical spans is important in allowing utility providers to monitor their overhead transmission networks spanning large geographical regions. This paper focuses on identifying critical spans using the proposed technique to find the bottleneck to the overhead transmission network for optimum power transfer. It determines the optimal number and placement of sensors across the entire test line, dividing the line into non-uniform segments, each carrying multiple length spans passing through flat and non-flat terrains. The resulting critical spans determine the line loadability that can effectively relieve transmission line congestion, based on the allowable vertical clearance to the ground. The outcome of the proposed technique is validated against the conventional technique for critical span identification.
dc.identifier.citationElectric Power Systems Research, 180, 106125.
dc.identifier.doi10.1016/j.epsr.2019.106125
dc.identifier.issn0378-7796en_NZ
dc.identifier.urihttps://hdl.handle.net/10292/13212
dc.publisherElsevieren_NZ
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S0378779619304444?via%3Dihub
dc.rightsCopyright © 2020 Elsevier Ltd. All rights reserved. This is the author’s version of a work that was accepted for publication in (see Citation). Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. The definitive version was published in (see Citation). The original publication is available at (see Publisher's Version).
dc.rights.accessrightsOpenAccessen_NZ
dc.subjectDynamic thermal rating; Critical line spans; Optimal sensor placement; Non-uniform line segmentation; Weather conditions and span topography; Line congestion and load shed management
dc.titleApplication of Dynamic Thermal Rating: Overhead Line Critical Spans Identification Under Weather Dependent Optimized Sensor Placementen_NZ
dc.typeJournal Article
pubs.elements-id367994
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Design & Creative Technologies
pubs.organisational-data/AUT/Design & Creative Technologies/Engineering, Computer & Mathematical Sciences
pubs.organisational-data/AUT/PBRF
pubs.organisational-data/AUT/PBRF/PBRF Design and Creative Technologies
pubs.organisational-data/AUT/PBRF/PBRF Design and Creative Technologies/PBRF ECMS
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