Identification and ranking of weak buses using modified counterpropagation neural network

2006 IEEE Power India Conference

Volumn 2005, Issue , 2005, Pages 318-324

  Pandit, Manjaree ^b   Srivastava, Laxmi ^a,b   Singh, Vijay ^c  

^a IEEE   (India)

^b MITS   (India)

^c Rustamji Institute of Technology   (India)

Author keywords

Coherency based clustering; Feature selection; Modified counterpropagation neural network; Neo fuzzy neuron sensitivity index; Voltage security assessment; Weak bus identification

Indexed keywords

COHERENCY BASED CLUSTERING; FEATURE SELECTION; MODIFIED COUNTERPROPAGATION NEURAL NETWORK; NEO FUZZY NEURON SENSITIVITY INDEX; VOLTAGE SECURITY ASSESSMENT; WEAK BUS IDENTIFICATION;

ELECTRIC POTENTIAL; FUZZY CONTROL; NEURAL NETWORKS; SECURITY SYSTEMS;

ELECTRIC POWER SYSTEMS;

EID: 33847112866     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/POWERI.2006.1632531     Document Type: Conference Paper

References (19)

1. Gao, B.,Morison, G.K., and Kundur, P., "Voltage stability evaluation using modal analysis, IEEE Trans., Power Systems, vol. 7, pp. 1529-1542, 1992
2. Barquin, Julian, Gomez,Tomas and Pagola, F. Luis, "Estimating the loading limit margin taking into account voltage collapse areas", IEEE Trans. Power Systems, vol. 10, pp. 1952-1962, Nov. 1995.
3. Flatabo, N.,Fosso, O.B., Ognedal. R., Carlsen, T., and Heggland, K.R., "A method for calculation of margins to voltage instability applied on the Norwegian System for maintaining required security level", IEEE Trans. Power Systems, vol. 8, pp. 920-936, Aug. 1993.
4. Chang, C. S. and Huang, J.S., "Worst case identification of reactive power margin and local weakness of power systems", Electric Power System Research, Vol. 44, pp. 77-83, 1998.
5. Lof, P.A., Smed, T., Anderson, G. and Hill, D.H., "Fast calculation of a voltage stability index", IEEE Trans. Power Systems, vol. 11, pp. 1654-1659, Aug. 1996.
6. Chowdhary, B.H., and Taylor, C.W., "Voltage stability analysis: V-Q power flow simulation versus dynamic simulation", IEEE Trans. Power Systems, vol. 15, pp. 1354-1359, November 2000.
7. Mansour, Yakout, Vaahedi, Ebrahim and El Sharkawi, Mohammed A., "Large-Scale dynamic security contingency screening and ranking using neural networks", IEEE Trans. Power Systems, vol. 12, pp. 954-960, May. 1997.
8. Song, Y.H., Wan, H. B., and Johns, A.T., "Kohonen'n neural network based approach to voltage weak buses / areas identification", IEE Proceedings, Gener. Trans. Distrib, vol. 144, pp. 340-344, 1997.
9. Lo, K.L., Peng, L.J., Macqueen, J.F., Ekwue, A.O. and Cheng, D.T.Y., 'Fast real power contingency ranking using a counter-propagation network", IEEE Trans. Power Systems", vol 13, pp. 1259-1264, Nov. 1998
10. Pandit, Manjaree, Srivastava L., and Sharma J., "Contingency ranking for voltage collapse using parallel self-organizing hierarchical neural network", Int. Journal of Electrical Power and Energy Systems, vol. 23(5), pp. 369-379, 2001.
11. Wan, H.B. and Song, Y.H., 'Hybrid supervised and unsupervised neural network approach to voltage stability analysis", Electric Power Systems Research, vol. 47, pp. 115-122, 1998.
12. Lui Chih-Wen, Chang, Chen-Sung and Su, Mu-Chun "Neuro-Fuzzy networks for voltage security monitoring based on synchronized phasor measurements", IEEE Trans. Power Systems, vol. 13, pp. 326-332, May 1998.
13. Pandit M., Srivastava L. and Sharma, J., 'Fast voltage contingency selection using fuzzy Parallel Self-organizing Hierarchical Neural Network", IEEE Tran. Power System, vol. 18, pp. 657-664, May 2003,.
14. Horio, Keichi, Yamakawa, Takeshi, 'Modified counterpropagation employing Neo Fuzzy neurons and its application to system modeling" in proc. 2007 Info-tech and info-net international conference, vol. 4, pp. 50-55.
15. Robert Hecht Nielsen, "Counter propagation networks", Applied Optics, 1987, vol 26, pp 4979-4984.
16. Begovic, M., and Phadke, A.G., 'Voltage stability assessment through measurement of a reduced state vector", IEEE Trans. Power Systems, vol. 5, pp. 198-202, Feb. 1990.
17. Eiji Uchino and Takeshi Yamakawa, 'Neo-Fuzzy neuron based new approach to system modeling with application to actual system", proc. 1994 VI International Conference on Tools with AI, pp.564-570.
18. Singh, S.N., and Srivastava, S.C., 'Corrective action planning to achieve a feasible optimum power flow solution", IEE Proc. Gener. Trans. Distrib, vol. 142, pp. 576-582, 1995.
19. Phillip D. Wasserman, Neural computing, theory and practice, New York: Van Nostrand Reinhold, 1989, p. 69.