Fiber Bragg Grating Sensor for fault detection in radial and network transmission lines

Sensors (Switzerland)

Volumn 10, Issue 10, 2010, Pages 9407-9423

  Moghadas, Amin A ^a   Shadaram, Mehdi ^a  

^a The University of Texas at San Antonio   (United States)

Author keywords

Current measurement; Current transformers; Magnetostrictive devices; Optical fiber; Power system protection

Indexed keywords

BRAGG WAVELENGTH SHIFT; BROADBAND LIGHT SOURCES; FIBER BRAGG GRATING SENSORS; MAGNETOSTRICTIVE MATERIAL; NETWORK TRANSMISSION; OVERHEAD TRANSMISSION LINES; POWER SYSTEM PROTECTION; SIMULATION AND RESULTS;

ALGORITHMS; COMPUTER SIMULATION; ELECTRIC CURRENT MEASUREMENT; ELECTRIC INSTRUMENT TRANSFORMERS; ELECTRIC LINES; ELECTRIC TRANSFORMERS; FAULT DETECTION; LIGHT SOURCES; MAGNETIC FIELDS; MAGNETOSTRICTIVE DEVICES; NEURAL NETWORKS; OPTICAL FIBERS; SIGNAL DETECTION; TRANSMISSION LINE THEORY;

FIBER BRAGG GRATINGS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; EQUIPMENT; EQUIPMENT DESIGN; FIBER OPTICS; INSTRUMENTATION; MAGNETIC FIELD; METHODOLOGY; REFRACTOMETRY;

ALGORITHMS; EQUIPMENT DESIGN; EQUIPMENT FAILURE ANALYSIS; FIBER OPTIC TECHNOLOGY; MAGNETIC FIELDS; NEURAL NETWORKS (COMPUTER); REFRACTOMETRY;

EID: 84871073288     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s101009407     Document Type: Article

References (30)

1. Kucuksari, S.; Karady, G. Experimental comparison of conventional and optical current transformers. IEEE Trans. Power Delivery 2010, 25, 2455-2463.
2. Gang, Z.; Shaohui, L.; Zhipeng, Z.; Wei, C. A novel electro-optic hybrid current measurement instrument for high-voltage power lines. IEEE Trans. Instru. Meas. 2001, 50, 1, 59-62.
3. Bohnert, K.; Gabus, P.; Nehring, J.; Brandle, H. Temperature and Vibration Insensitive Fiber-Optic Current Sensor. J. Lightwave Tech. 2002, 20, 267-276.
4. Rochford, K.B.; Rose, A.H.; Day, G.W. Magneto-optic sensors based on iron garnets. IEEE Trans. Mag. 1996, 32, 4113-4117.
5. Law, C.T.; Bhattarai, K.; Yu, D.C. Fiber-optics-based fault detection in power systems. IEEE Trans. Power Delivery 2008, 23, 1271-1279.
6. Li, Y.; Li, W.; Han, X.; Li, J. Application of multi-sensor information fusion technology in the power transformer fault diagnosis. In Proceedings of International Conference on Machine Learning and Cybernetics, Boading, China, July 2009; pp. 29-33.
7. Orr, P.; Niewczas, P.; Dysko, A.; Booth, C. FBG-based fiber-optic current sensors for power systems protection: Laboratory evaluation. In the Proceedings of the 44th International Universities Power Engineering Conference (UPEC), Leuven, Belgium, May 2009; pp. 1-5.
8. Engdahl, G. Handbook of Giant Magnetostrictive Materials; Academic: New York, NY, USA, 2000.
9. Calkins, F.; Dapino M.; Flatau. A.M. Effect of prestress on the dynamic performance of a terfenol-D transducer; Presented at the SPIE Symposium Smart Structures and Materials, San Diege, CA, USA, 1997.
10. Sun, L.; Zheng, Z. Numerical simulation on coupling behavior of Terfenol-D rods. Int. J. Solids Struct. 2006, 43, 1613-1623.
11. Groom, N.J.; Bloodgood, V.D. A comparison of analytical & experimental data for a magnetic actuator; NASA/TM 200-210328; NASA Langley Research Center Hampton: VA 23681-2199 September 2000; pp. 1-16.
12. Claeyssen, F.; Lhermet, N.; Le Letty, R.; Bouchilloux, P. Actuators, transducers and motors based on giant magnetostrictive materials. J. Alloys Compounds 1997, 258, 61-73.
13. Tan, X.; Baras, J.S. Modeling and control of hysteresis in magnetostrictive actuators. J. Automatica 2004, 40, 1469-1480.
14. Dapino, M.J.; Smith, R.C.; Flatau, A.B. Structural magnetic strain model for magnetostrictive transducers. IEEE Trans. Mag. 2000, 36, 545-556.
15. Kashyap, R. Fiber Bragg Grating; Academic Press: Burlington, MA, USA, November 2009.
16. Dziuda, L.; Fusiek, G.; Niewczas, P.; Burt, G.M.; McDonald, J.R. Laboratory evaluation of the hybrid fiber-optic current sensor. J. Sens. Actuat. A: Phys. 2007, 136, 184-190.
17. Or, S.W.; Nersessian, N.; Carman, G.P. Dynamic magnetomechanical behavior of terfenol-D/Epoxy 1-3 particulate composites. IEEE Trans. Mag. 2004, 40, 71-77.
18. Karunanidhi, S.; Singaperumal, M. Design, analysis and simulation of magnetostrictive actuator and its application to high dynamic servo valve. J. Sensor. Actuat. A Phys. 2010, 157, 185-197.
19. Zhao, H.; Xiong, Y.L.; Zhang, J.; Wang, S.R. Measurement of power frequency AC current using FBG and GMM. IEEE ISEIM Int. Symp. Elect. Insulat. Mater. 2005, 3, 741-743.
20. Mora, J.; Diez, A.; Cruz, J.L.; Andres, M.V. A Magnetostrictive sensor interrogated by fiber gratings for DC-Current and temperature discrimination. IEEE Photonics Tech. Lett. 2000, 12, 1680-1682
21. Moghadas, A.; Barnes, R.; Shadaram, M. An innovative fiber bragg grating sensor capable of fault detection in radial power systems. In Proceeding of 4th Annual IEEE Systems Conference, San Diego, CA, USA, March 2010; pp. 165-168.
22. Moghadas, A.; Shadaram, M. Novel fiber bragg grating sensor applicable for fault detection in high voltage transformers, In Proceedings of IEEE Conference on Innovative Technologies for an Efficient and Reliable Electric Supply, Waltham, MA, USA, September 2010.
23. Reilly, D.; Willshire, A.J.; Fusiek, G.; Niewczas, P.; McDonald, J.R. A fiber bragg grating based sensor for simultaneous AC current and temperature measurement. IEEE Sensors J. 2006, 6, 1539-1542.
24. Melle, S.; Liu, K.; Measures, R. A Passive demodulation system for guided wave bragg grating sensors. IEEE Photonics Tech. Lett. 1992, 4, 516-518.
25. Jiang, J.A.; Fan, P.L.; Cen, C.S.; Yu, C.; Sheu, J.Y. A fault detection and faulted-phase selection approach for transmission lines with haar wavelet transformers, In Proceeding IEEE/PES Transmission and Distribution Conference and Exhibition, Dallas, TX, USA, September 7-12, 2003; pp. 285-289.
26. Vasilic, S.; Kezunovic, M. Fuzzy art neural network algorithm for classifying the power system faults. IEEE Trans. Power Delivery 2005, 20, 1306-1314.
27. Silva, K.M.; Souza, B.A.; Brito, N.S.D. Fault detection and classification in transmission lines based on wavelet transform and ANN. IEEE Trans. Power Delivery 2006, 21, 2058-2063.
28. Hong, Y.Y.; Chang-Chian, P.C. detection and correction of distorted current transformer current using wavelet transform and artificial intelligence, generation, transmission & distribution. IET 2008, 2, 566-575.
29. Haykin, S. Neural Networks: A Comprehensive Foundation, 2nd ed.; Prentice-Hall: Upper Saddle River, NJ, USA, July 1999.
30. Daubechies, I. Ten Lectures on Wavelets. In Proceedings of CBMS-NSF Regional Conference Series in Applied Mathematics, Philadelphia, PA, USA, 1992.