Magnetic-Field-Sensing-Based Approach for Current Reconstruction, Sag Detection, and Inclination Detection for Overhead Transmission System

Noncontact monitoring technique of mechanical and electrical states is increasingly attractive for the overhead transmission system. This paper proposes a new technique to detect the tower inclination and transmission line sag, and measure transmission current simultaneously. The key of this technique is to use the ground magnetoresistive (MR) sensor to measure the magnetic flux density along the center line from the three-phase transmission lines. Moreover, the magnetic field (MF) calculation formulas for a tilted tower are given in this paper. Finally, with MF calculation formulas, an algorithm based on artificial immune system (AIS) is applied to estimate the transmission line sag and tower tilt angles, and reconstruct currents. Model simulations of an overhead transmission system are carried out to verify the idea. The simulation results validate the feasibility of this noncontact approach to estimate mechanical parameters and reconstruct electrical parameters for overhead transmission system.

[1]  A.H. Nielsen,et al.  Monitoring of power system events at transmission and distribution level , 2006, IEEE Transactions on Power Systems.

[2]  Qi Huang,et al.  Estimation of Current and Sag in Overhead Power Transmission Lines With Optimized Magnetic Field Sensor Array Placement , 2017, IEEE Transactions on Magnetics.

[3]  Xun Sun,et al.  Noncontact operation-state monitoring technology based on magnetic-field sensing for overhead high-voltage transmission lines , 2014, 2014 IEEE PES General Meeting | Conference & Exposition.

[4]  S. Ueno,et al.  TMR : A New Frontier for Magnetic Sensing 1 . NTN-SNR magnetic sensing technology 1 . 1 Bearings with active sensor , 2013 .

[5]  G. T. Heydt,et al.  Application of the Global Positioning System to the Measurement of Overhead Power Transmnission Conductor Sag , 2001 .

[6]  G. T. Heydt,et al.  Application of the Global Positioning System to the Measurement of Overhead Power Transmnission Conductor Sag , 2001, IEEE Power Engineering Review.

[7]  Chunhua Liu,et al.  Velocity Measurement Technique for Permanent Magnet Synchronous Motors Through External Stray Magnetic Field Sensing , 2018, IEEE Sensors Journal.

[8]  P. Pong,et al.  Fault-Line Identification of HVDC Transmission Lines by Frequency-Spectrum Correlation Based on Capacitive Coupling and Magnetic Field Sensing , 2018, IEEE Transactions on Magnetics.

[9]  Vijay Vittal,et al.  Mechanical State Estimation of Overhead Transmission Lines Using Tilt Sensors , 2010, IEEE Transactions on Power Systems.

[10]  Hao Wu,et al.  A novel lightning current monitoring system based on the differential-integral loop , 2013, IEEE Transactions on Dielectrics and Electrical Insulation.

[11]  T. O. Seppa Factors influencing the accuracy of high temperature sag calculations , 1994 .

[12]  Alexander Mamishev,et al.  Effects of conductor sag on spatial distribution of power line magnetic field , 1996 .

[13]  Kai Liu,et al.  Transmission lines detection technology , 2017 .

[14]  K. D. Srivastava,et al.  Review of condition assessment of power transformers in service , 2002 .

[15]  T. Sagara,et al.  Magnetoresistive Sensors , 1993, IEEE Translation Journal on Magnetics in Japan.

[16]  Carl H. Smith,et al.  Magnetoresistive sensors for nondestructive evaluation (Invited Paper) , 2005, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[17]  L.N. de Castro,et al.  An artificial immune network for multimodal function optimization , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

[18]  I. Kamwa,et al.  Causes of the 2003 major grid blackouts in North America and Europe, and recommended means to improve system dynamic performance , 2005, IEEE Transactions on Power Systems.

[19]  Vijay Vittal,et al.  Monitoring sag and tension of a tilted transmission line using geometric transformation , 2009, 2009 IEEE Power & Energy Society General Meeting.

[20]  Yuan Liao,et al.  On-line estimation of transmission line parameters, temperature and sag using PMU measurements , 2012 .