Artificial neural network model for voltage security based contingency ranking

Applied Soft Computing Journal

Volumn 7, Issue 3, 2007, Pages 722-727

  Devaraj, D ^a   Roselyn, J Preetha ^a   Rani, R Uma ^a  

^a KALASALINGAM UNIVERSITY   (India)

Author keywords

Artificial neural network; Contingency ranking; Feature selection; Voltage security

Indexed keywords

COMPUTER SIMULATION; ELECTRIC LOADS; ELECTRIC POWER TRANSMISSION; FEATURE EXTRACTION; SECURITY SYSTEMS; VOLTAGE CONTROL;

CONTINGENCY RANKING; ECONOMIC BENEFITS; VOLTAGE SECURITY;

NEURAL NETWORKS;

EID: 34047275138     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2005.11.010     Document Type: Article

References (12)

1. Taylor C. Power Systems Voltage Stability (1993), Mc-Graw Hill, Inc., New York
2. Kessel P., and Glavitsch H. Estimating the voltage stability of power systems. IEEE Trans. Power Syst. 1 3 (1986) 346-354
3. Tiranuchit A., and Thomas R.J. A Posturing strategy against voltage instability in electric power systems. IEEE Trans. Power Syst. 3 1 (1988) 87-93
4. Ajjarapu V., and Christy C. The continuation power flow: a tool for steady state voltage stability analysis. IEEE Trans. Power Syst. 7 1 (1992) 416-423
5. Gao B., Morisan G.K., and Kundur P. Voltage stability evaluation using modal analysis. IEEE Trans. Power Syst. 7 4 (1992) 1529-1542
6. El-Keib A.A., and Ma X. Applications of artificial neural networks in voltage stability assessment. IEEE Trans. Power Syst. 10 4 (1995) 1890-1896
7. Schmidt H.P. Application of artificial neural networks to the dynamic analysis of the voltage stability problem. IEE Proc-Gener. Transm. Distrib. 144 4 (1997) 371-376
8. Wan H.B., and Ekwue A.O. Artificial Neural Network based contingency ranking method for voltage collapse. Electr. Power Energy Syst. 22 (2000) 344-354
9. D. Devaraj, Computational intelligent techniques in power system security analysis, Phd dissertation, Department of Electrical Engineering, I.I.T, Chennai, India, July 2001.
10. Vas P. Artificial-intelligence-based electrical machines and drives (1999), Oxford University Press
11. Fredric H.M., and Ivica Kostanic. Principles of Neurocomputing for Science and Engineering (2001), Mc Graw Hill International Edition
12. Alsac O., and Scott B. Optimal load flow with steady state security. IEEE Trans. Power App. Syst. PAS-93 (1974) 745-751