Fast voltage contingency selection using fuzzy parallel self-organizing hierarchical neural network

IEEE Transactions on Power Systems

Volumn 18, Issue 2, 2003, Pages 657-664

  Pandit, Manjaree ^a   Srivastava, Laxmi ^a   Sharma, Jaydev ^b  

^a MITS   (India)

^b INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

Author keywords

Angular distance based clustering; Contingency ranking; Fuzzy neural network; Fuzzy overall performance index; Linguistic categories; Membership values; Parallel self organizing hierarchical neural network; Ranking module; Screening module

Indexed keywords

FUZZY SETS; HEURISTIC METHODS; LEARNING ALGORITHMS; LEARNING SYSTEMS; LINGUISTICS; MATHEMATICAL MODELS; MEMBERSHIP FUNCTIONS; SELF ORGANIZING MAPS; VECTORS; VOLTAGE CONTROL;

ANGULAR DISTANCE BASED CLUSTERING; CONTINGENCY RANKING; PARALLEL SELF ORGANIZING HIERARCHICAL NEURAL NETWORK; PERFORMANCE INDEX; SCREENING MODULE; VOLTAGE CONTINGENCY SELECTION;

ELECTRIC POWER SYSTEM PROTECTION;

EID: 0038180749     PISSN: 08858950     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRS.2003.810993     Document Type: Article

References (28)

1. Y. Y. Hsu and H. C. Kuo, "Fuzzy-set based contingency ranking," IEEE Trans. Power Syst., vol. 7, pp. 1189-1195, May 1992.
2. S. K. Tso, T. X. Zhu, and K. L. Lo, "Fuzzy-set approach to dynamic voltage security assessment," Proc. Inst. Elect. Eng.-Gener. Transm. Distrb, vol. 142, pp. 190-194, Mar. 1995.
3. J. Nahman and I. Okljev, "Fuzzy logic and probability based real-time contingency ranking," Electrical Power & Energy Systems, vol. 22, pp. 223-229, 2000.
4. S. Weerasooria, M. A. El-Sharkawi, M. Damborg, and R. J. Marks, "Toward static-security assessment of a large scale power system using neural networks," Proc. Inst. Elect. Eng.-Gen., Transm. Dist., vol. 139, pp. 64-70, Jan. 1992.
5. L. Srivastava, S. N. Singh, and J. Sharma, "A hybrid neural network model for fast voltage contingency screening and ranking'," Electrical Power & Energy Systems, vol. 22, pp. 35-42, Jan. 2000.
6. M. Pandit, L. Srivastava, and J. Sharma, "Contingency ranking for voltage collapse using parallel self-organizing hierarchical neural network," Electrical Power & Energy Systems, vol. 23, pp. 369-379, June 2001.
7. K. L. Lo, L. J. Peng, J. F. Macqueen, A. O. Ekwue, and D. T. Y. Cheng, "Fast real power contingency ranking using a counter-propagation network," IEEE Trans. Power Syst., vol. 13, pp. 1259-1264, Nov. 1998.
8. Y. H. Pao and D. J. Sobajic, "Combined use of unsupervised and supervised learning for dynamic security assessment," IEEE Trans. Power Syst., vol. 7, pp. 878-884, May 1992.
9. Y. Mansour, E. Vaahedi, and M. A. El Sharkawi, "Large scale dynamic security contingency screening and ranking using neural network," IEEE Trans. Power Syst., vol. 12, pp. 954-960, May 1997.
10. J. A. Refaee, M. Mohandes, and H. Maghrabi, "Radial basis function networks for contingency analysis of bulk power systems," IEEE Trans. Power Syst., vol. 14, pp. 772-778, May 1999.
11. S. K. Pal and S. Mitra, "Multi-layer perceptron, fuzzy sets and classification," IEEE Trans. Neural Networks, vol. 3, pp. 683-697, Sept. 1992.
12. C. C. Liu, C. S. Chang, and M. C. Su, "Neuro-Fuzzy networks for voltage security monitoring based on synchronized phasor measurements," IEEE Trans. Power Syst., vol. 13, pp. 326-332, May 1998.
13. D. Srinivasan, C. S. Tan, and E. K. Chan, "Practical implementation of a hybrid fuzzy neural network for one-day-ahead load forecasting," Proc. Inst. Elect. Eng.,-Gen., Transm. Dist., vol. 145, pp. 687-692, Nov. 1998.
14. K. H. Abdul-Rahman, S. M. Shahidehpour, and M. Daneshdoost, "AI approach to optimal VAR control with fuzzy reactive loads," IEEE Trans. Power Syst., vol. 10, pp. 88-97, Feb. 1995.
15. M. Pandit, L. Srivastava, and J. Sharma, "Voltage contigency ranking using fuzzified multilayer perceptron," Electric Power Systems Research, vol. 59, pp. 65-73, 2001.
16. ____, "Contingency screening and ranking for voltage collapse using hybrid fuzzy neural network," in Proc. IEEE Conf., New Delhi, India, Nov. 2001, pp. 206-210.
17. A. Rangachari, K. G. Mehrotra, C. K. Mohan, and S. Ranka, "An improved algorithm for neural network classification of imbalanced training sets," IEEE Trans. Neural Networks, vol. 4, pp. 962-969, Nov. 1993.
18. O. K. Ersoy and S. W. Deng, "Parallel self organizing hierarchical neural networks with continuous inputs and outputs," IEEE Trans. Neural Networks, vol. 6, pp. 1037-1044, Sept. 1995.
19. F. Albuyeh, A. Bose, and B. Heath, "Reactive power considerations in automatic contingency selection," IEEE Trans. Power Apparat. Syst., vol. 101, pp. 107-112, Jan., 1982.
20. Greene, Scott, Dobson, Ian, and F. L. Alvarado, "Contingency ranking for voltage collapse via sensitivities from a single nose curve," IEEE Trans. Power Syst., vol. 14, pp. 232-240, Feb. 1999.
21. T. V. Cutsem, C. Moisse, and R. Mailhot, "Determination of secure operating limits with respect to voltage collapse," IEEE Trans. Power Syst., vol. 14, pp. 327-334, Feb. 1999.
22. "PFLOW: Software Available via Anonymous ftp at iliniza.uwaterloo.ca in Subdirectory pub/pflow,".
23. C. A. Canizares and F. L. Alvarado, "Point of collapse and continuation methods for large AC/DC systems," IEEE Trans. Power Syst., vol. 8, pp. 1-8, Feb. 1993.
24. Y. Y. Hsu and C. C. Yang, "Analysis of electromechanical modes using an artificial neural network," Proc. Inst. Elect. Eng.,-Gen., Transm. Dist., vol. 141, pp. 198-204, May 1994.
25. K. L. Ho, Y. Y. Hsu, and C. C. Yang, "Short-term load forecasting using a multi-layer neural network with an adaptive learning algorithm," IEEE Trans. Power Syst., vol. 7, pp. 141-149, Feb. 1992.
26. L. L. Freris and A. M. Sasson, "Investigation of the load-flow problem," Proc. Inst. Elect. Eng.,-Gen., Transm. Dist., vol. 115, no. 10, pp. 1459-1470, 1968.
27. S. N. Singh and S. C. Srivastava, "Corrective action planning to achieve a feasible optimum power flow solution," Proc. Inst. Elect. Eng.-Gener., Transm. Dist., vol. 142, pp. 576-582, 1995.
28. M. Moghavvemi, "A sectionalized ANN approach in predicting voltage stability in power systems," Int. J. Power Energy Syst., vol. 19, no. 1, pp. 66-70, 1999.