Commenced in January 2007
Paper Count: 31756
Power System Security Assessment using Binary SVM Based Pattern Recognition
Abstract:Power System Security is a major concern in real time operation. Conventional method of security evaluation consists of performing continuous load flow and transient stability studies by simulation program. This is highly time consuming and infeasible for on-line application. Pattern Recognition (PR) is a promising tool for on-line security evaluation. This paper proposes a Support Vector Machine (SVM) based binary classification for static and transient security evaluation. The proposed SVM based PR approach is implemented on New England 39 Bus and IEEE 57 Bus systems. The simulation results of SVM classifier is compared with the other classifier algorithms like Method of Least Squares (MLS), Multi- Layer Perceptron (MLP) and Linear Discriminant Analysis (LDA) classifiers.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1075998Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1715
 K.R.Niazi, C.M.Arora, S.L.Surana, "Power system security evaluation using ANN: Feature Selection using Divergence", Electric Power Systems Research, Vol. 69, Issues 2-3, May 2004, pp.161-167.
 Daniel S. Kirschen, "Power System Security", Power Engineering Journal, October 2002, pp. 241-248.
 Prabha Kundur, John Paserba, Venkat Ajjarapu, Goran Anderson, Anjan Bose, Claudio Canizares, Nikos Hatziargyriou, David Hill, Alex Stankovic, Carson Taylor, Th.Van Cutsem, Vijay Vittal, "Definition and Classification of Power System Stability", IEEE Transactions on Power Systems, Vol. 19, No. 2, May 2004, pp. 1387-1401.
 Craig A.Jensen, Mohamed A.El.Sharkawi, Robert J.Marks, "Power System Security Assessment using Neural Networks: Feature Selection using Fisher Discrimination", IEEE Transactions on Power Systems, Vol. 16, No. 4, Nov 2001, pp.757-763.
 Sa Da Costa, N.Munro, "Pattern Recognition in Power System Security", International Journal of Electrical Power & Energy Systems, Vol. 6, No. 1, Jan 1984, pp. 31-36.
 C.K. Pang, F.S. Prabhakara, Ahmed H. El-Abiad, A.J. Koivo, "Security Evaluation in Power Systems using Pattern Recognition", IEEE Transactions on Power Apparatus and Systems, Vol. PAS-93, May/June 1974, pp. 969-976.
 I.S.Saeh, A.Khairuddin, "Decision Tree for Static Security Assessment and Classification", International Conference on Future Computer and Communication (ICFCC), 2009, pp.681-684.
 I.S.Saeh, A.Khairuddin, "Static Security Assessment using Artificial Neural Network", IEEE 2nd International Conference on Power & Energy (PECon 2008), 2008, pp.1172-1178.
 Leonard L.Grigsby, "Power System Stability and Control", Electric Power Engineering Handbook, Second Edition, CRC Press, 2007.
 Chok K.Pang, Antti J.Kovio, Ahmed H.El.Abiad, "Application of Pattern Recognition to Steady State Security Evaluation in a Power System", IEEE Transactions on Systems, Mans & Cybernetics, Vol. SMC-3, No. 6, Nov 1973, pp. 622-631.
 M. Shahidehpour, "Communication and Control in Electric Power Systems", Wiley Interscience, John Wiley & Sons, 2003, pp. 265-270.
 J.C.S.Souza, M.B.Do Coutto, M.Th.Schilling, "Fast Contingency Selection through a Pattern Analysis approach", Electric Power Systems Research, Vol. 62, Issue 1, May 2002, pp. 13-19.
 Hossein Hakim, "Application of Pattern Recognition in Transient Security Assessment", Electric Power Components and Systems, Vol. 20, Issue 1, January 1992, pp. 1-15.
 D. Duttam, "Trends in Pattern Recognition and Machine Learning", Defence Science Journal, Vol. 35, No. 3, July 1985, pp. 327-351.
 Se-Young Oh, "Pattern Recognition and Associative Memory Approach to Power System Security Assessment", IEEE Transactions on Systems, Man and Cybernetics, Vol. SMC-16, No. 1, Jan/Feb 1986, pp. 62-72.
 Abhisek Ukil, "Intelligent Systems and Signal Processing in Power Engineering", -Springer-Verlag, 2007.
 L.S.Moulin, A.P.Alves Da Silva, M.A.El-Sharkawi, Robert J. Marks, "Support Vector Machines for Transient Stability Analysis of Large- Scale Power Systems", IEEE Transactions on Power Systems, Vol. 19, No. 2, May 2004, pp. 818-825.
 Jae H.Min, Young-Chan Lee, "Bankruptcy Prediction using Support Vector Machine with Optimal Choice of Kernel Function Parameters", Expert Systems with Application, Vol. 28, Issue 5, 2005, pp. 603-614.
 M.A.Pai, "Computer Techniques in Power System Analysis", Tata McGraw Hill, Second Edition, 1979.
 http:// www.pserc.cornell.edu/matpower
 Chin-Chung Chang, Chih-Jen Lin, "LIBSVM: A Library for Support Vector Machines", Software available at www.csie.ntu.edu.tw / cjlin/.