Application of dynamic thermal rating: Overhead line critical spans identification under weather dependent optimized sensor placement

•Optimized senor number and placement across an entire overhead line providing contributions to transmission planning and sensor instalment.•Critical-span identification under line span topography and weather conditions.•Advantages over existing critical span identification techniques in terms of im...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Electric power systems research 2020-03, Vol.180, p.106125, Article 106125
Hauptverfasser: Talpur, Saifal, Lie, T.T., Zamora, R.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:•Optimized senor number and placement across an entire overhead line providing contributions to transmission planning and sensor instalment.•Critical-span identification under line span topography and weather conditions.•Advantages over existing critical span identification techniques in terms of improved accuracy and computational efficiency.•Critical line span sagging under dynamic thermal rating (DTR) and static thermal rating (STR) techniques.•Thermal limit calculation of the overhead transmission line under static and dynamic weather conditions in the presence of critical spans to mitigate line congestion and avoid the load shedding. Dynamic 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.
ISSN:0378-7796
1873-2046
DOI:10.1016/j.epsr.2019.106125