[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
:: Volume 5, Issue 2 (1-2017) ::
ieijqp 2017, 5(2): 25-40 Back to browse issues page
A Fast and Reliable Technique to Detect Loss of Field Phenomenon in Synchronous Generators
Abbas Hasani1, Farhad Haghjoo *1
1- Shahid Beheshti Univ.
Abstract:   (4065 Views)

Loss of field (LOF) phenomenon in synchronous generators may cause serious damages and voltage drop in power system, which can be terminated to an unintended blackout. Conventional methods detect LOF on the basis of the measured impedance from viewpoint of the related terminals. Such methods not only are not fast enough, but also may exhibit mal-operation in the face of other phenomena, e.g. stable power swing (SPS).

In this paper, a novel algorithm is proposed to detect LOF in synchronous generators on the basis of some electrical parameters variations, including voltage (V), current (I), active power (P), reactive power (Q) and power angle (&delta). To evaluate the proposed method performance, some cases are simulated on a sample multi-machine power system under various operation conditions. Obtained results show that the proposed algorithm on the basis of V, Q and &delta not only can be considered as a fast LOF detector in comparison with the conventional impedance-based schemes, but also it can be introduced as a robust and secure technique in the face of SPS and other power system disturbances.

Keywords: Synchronous Generator Protection, Loss of Field, Stable Power Swing
Full-Text [PDF 2007 kb]   (3286 Downloads)    
Type of Study: Research | Subject: Special
Received: 2015/12/28 | Accepted: 2016/08/24 | Published: 2017/01/30
References
1. [1] D. Reimert, Protective relaying for power generation systems, Boca Raton: CRC press, 2006.
2. [2] IEEE guide for AC generator protection, IEEE Standard C37.102-2006.
3. [3] P. Kundur, Power system stability and control, New York: McGraw-Hill, 1994.
4. [4] NERC system protection and control subcommittee, technical reference document, “Power plant and transmission system protection coordination”, June 2010.
5. [5] J. Berdy, “Loss of excitation protection for modern synchronous generators”, IEEE Trans. on Power App. Sys., Vol. PAS-94, No. 5, pp. 1457–1463, September/October 1975.
6. [6] R. L. Tremaine and J. L. Blackburn, “Loss-of-field protection for synchronous machines”, AIEE Trans. Part III, Vol. 1, No. 73, pp. 765−772, August 1954.
7. [7] A. P. de Morais, G. Cardoso, and L. Mariotto, “An innovative loss-of-excitation protection based on the fuzzy inference mechanism”, IEEE Trans. on Power Del. Vol. 25, No. 4, pp. 2197-2204, October 2010.
8. [8] E. ajuelo, R. Gokaraju and M. S. Sachdev. “Identification of generator loss-of-excitation from power-swing conditions using a fast pattern classification method”, IET Gen., Trans. & Dist., Vol. 7, No. 1, pp. 24-36, January 2013.
9. [9] H. Yaghobi, H. Mortazavi, K. Ansari, H. R. Mashhadi and H. Borzoe, “Study on application of flux linkage of synchronous generator for loss of excitation detection”, Trans. on Etrical Energy Sys., Vol. 23, No. 6, pp. 802-817, September 2013.
10. [10] M. Amini, M. Davarpanah, M. Sanaye-Pasand, “A novel approach to detect the synchronous generator loss of excitation”, IEEE Trans. On Power Del., Vol. 30, No. 3, pp. 1429-1438, June 2015.
11. [11] User's Guide of DIgSILENT 14 software, DIgSILENT Company, Germany, December 2010.
12. [12] IEEE Recommended Practice for Excitation System Models for Power System Stability Studies, IEEE Std 421.5, Jun 2005.
13. [13] IEEE Power and Energy Society, Dynamic Models for Turbine-Governors in Power System Studies, Jun 2013.
14. [14] E. Ghahremani, M. Karrari, and O. P. Malik, “Synchronous generator third-order model parameter estimation using online experimental data”, IET Gen., Trans. & Dist., Vol. 2, No. 5, pp. 708-719, September 2008.
15. [15] A. D. Angel, P. Geurts, D. Ernst, M. Glavic, and L. Wehenkel, “Estimation of rotor angles of synchronous machines using artificial neural networks and local PMU-based quantities”, Neurocomputing 70, No. 16, pp. 2668-2678, October 2007.
16. [16] S. Rovnyak, Ch.W. Liu, Jin Lu, Weimin Ma, and J. Thorp. “Predicting future behavior of transient events rapidly enough to evaluate remedial control options in real-time”, IEEE Trans. On Power Sys. Vol.10, No. 3: pp.1195-1203, August1995.
17. [17] H. Yaghobi, “Impact of static synchronous compensator on flux-based synchronous generator loss of excitation protection”, IET Gen. Trans. & Dist., Vol. 9, No. 9, pp. 873-883, Feb. 2015.
18. [18] S. Paudyal, G. Ramakrishna, M.S. Sachdev. “Application of equal area criterion conditions in the time domain for out-of-step protection”, IEEE Trans. on Power Del., Vol. 25, No. 2, pp. 600-609, April 2010.


XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Hasani A, Haghjoo F. A Fast and Reliable Technique to Detect Loss of Field Phenomenon in Synchronous Generators. ieijqp. 2017; 5 (2) :25-40
URL: http://ieijqp.ir/article-1-319-en.html


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 5, Issue 2 (1-2017) Back to browse issues page
نشریه علمی- پژوهشی کیفیت و بهره وری صنعت برق ایران Iranian Electric Industry Journal of Quality and Productivity
Persian site map - English site map - Created in 0.05 seconds with 29 queries by YEKTAWEB 4463