Title :
Mechanical State Estimation of Overhead Transmission Lines Using Tilt Sensors
Author :
Malhara, Sunita ; Vittal, Vijay
Author_Institution :
Electr. Eng. Dept., Arizona State Univ., Tempe, AZ, USA
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.
Keywords :
electric sensing devices; hazards; least squares approximations; poles and towers; power overhead lines; power supply quality; power system measurement; state estimation; conductor sag levels; conductor tension; core temperature; electrical transmission infrastructure; environmental hazards; grid condition assessment; least square state estimation computational algorithm; mechanical state estimation; online monitoring technique; overhead transmission lines; tilt sensors; tower tilt measurements; transmission line sag-tension equation; transmission towers; Conductor sag; PLS-CADD; geometric transformation; mechanical state estimation; tension; tower tilt;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2009.2038703