Mechanical state estimation of overhead transmission lines using tilt sensors

Sunita Malhara, Vijay Vittal

Research output: Contribution to journalArticle

34 Citations (Scopus)

Abstract

The electrical transmission infrastructure worldwide has witnessed severe environmental hazards, accidents and in countries like Columbia and India malicious attacks leading to the sabotage of transmission towers. These events underscore the need to develop new techniques to ensure safe and reliable operation of the transmission infrastructure. This paper deals with an online monitoring technique based on mechanical state estimation of overhead transmission lines subjected to tower tilt. The proposed approach provides a quick assessment of the grid condition at the initial stages of an extreme mechanical event. A computational algorithm based on least squares state estimation is applied to transmission line sag-tension equations developed through a geometric transformation to determine conductor sag levels. The measurements of tower tilt, conductor tension, core temperature, inclination angle of conductor with the horizontal and other transmission line parameters are utilized for the purpose of state estimation. Appropriate warning alarms generated in the case of considerable changes in the sag levels or violation of limits enable operators to take designated actions during the initial stages of the physical disruption.

Original languageEnglish (US)
Article number5418815
Pages (from-to)1282-1290
Number of pages9
JournalIEEE Transactions on Power Systems
Volume25
Issue number3
DOIs
StatePublished - Aug 2010

Fingerprint

State estimation
Towers
Electric lines
Sensors
Hazards
Accidents
Monitoring
Temperature

Keywords

  • Conductor sag
  • geometric transformation
  • mechanical state estimation
  • PLS-CADD
  • tension
  • tower tilt

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology

Cite this

Mechanical state estimation of overhead transmission lines using tilt sensors. / Malhara, Sunita; Vittal, Vijay.

In: IEEE Transactions on Power Systems, Vol. 25, No. 3, 5418815, 08.2010, p. 1282-1290.

Research output: Contribution to journalArticle

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