Power swing and voltage collapse identification schemes for correct distance relay operation in power system

Abstract

The new techniques were presented for preventing undesirable distance relay maloperation during voltage collapse and power swings in transmission grids. Initially, the work focused on the development of a fast detection of voltage collapse and a three-phase fault at transmission lines by using under impedance fault detector (UIFD) and support vector machine (SVM). Likewise, an intelligent approach was developed to discriminate a fault, stable swing and unstable swing, for correct distance relay operation by using the S-transform and the probabilistic neural network (PNN). To illustrate the effectiveness of the proposed techniques, simulations were carried out on the IEEE 39-bus test system using the PSS/E and MATLAB software.

Keywords

under impedance fault detector / distance relay / fault / voltage collapse

References

[1] KundurP, BaluN J, LaubyM GPower system stability and control [M], 1994New York.McGraw-Hill

[2] KuribayashiH, SasanoT, OhtaT, FuruseM, FujimotoT. Analysis of the operation of a distance relay during an unbalanced arc fault and verification by model tests [C]. International Conference on Developments in Power System Protection, 2001AmsterdamIEEE Press78-81

[3] MechraouiA, ThomasD W P. A new blocking principle with phase and earth fault detection during fast power swings for distance protection [J]. IEEE Transactions on Power Deliver, 1995, 10(3): 1242-1248

[4] JonssonM, DaalderJ. Distance protection and voltage stability [C]. International Conference on Power System Technology, 2000971-976

[5] JinM, SidhuT S. Adaptive load encroachment prevention scheme for distance protection [J]. Electric Power Systems Research, 2008, 78(10): 1693-1700

[6] AhmadF B A, AzahM. On the use of voltage stability index to prevent undesirable distance relay operation during voltage instability [C]. International Conference on Environment and Electrical Engineering (EEEIC), 2010PragueIEEE Press384-387

[7] ZadehH K, LiZ. A novel power swing blocking scheme using adaptive neuro-fuzzy inference system [J]. Electric Power Systems Research, 2008, 78(7): 1138-1146

[8] El-ArroudiK, JoósG, McgillisD, BrearleyR. Comprehensive transmission distance protection settings using an intelligent-based analysis of events and consequences [J]. IEEE Transactions on Power Delivery, 2005, 20(3): 1817-1824

[9] ZhangN, KezunovicM. Transmission line boundary protection using wavelet transform and neural network [J]. IEEE Transaction on Power Delivery, 2007, 22(2): 859-869

[10] ZieglerGNumerical distance protection: Principles and applications [M], 2011

[11] BurgesC J CAdvances in kernel methods: Support vector learning [M], 1999

[12] ZaknichANeural networks for intelligent signal processing [M], 2003

[13] El EmaryI M M, RamakrishnanS. On the application of various probabilistic neural networks in solving different pattern classification problems [J]. World Applied Sciences Journal, 2008, 4(6): 772-780

[14] JonssonM, DaalderJ E. An adaptive scheme to prevent undesirable distance protection operation during voltage instability [J]. IEEE Transactions on Power Delivery, 2003, 18(4): 1174-1180

[15] S. 7SA522. Distance Protection Relay for Transmission Lines [EB/OL]. [2009-06-12]: http://www.energy.siemens.com

[16] StockwellR G, MansinhaL, LoweR P. Localization of the complex spectrum: The S transform [J]. IEEE Transactions on Signal Processing, 1996, 44(4): 998-1001