Parallel self-organising hierarchical neural network-based fast voltage estimation

IEE Proceedings: Generation, Transmission and Distribution

Volumn 145, Issue 1, 1998, Pages 98-104

  Srivastava, L ^a   Singh, S N ^a   Sharma, J ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

Author keywords

Entropy concept; Parallel self organising hierarchical neural network; Stage neural network; Supervised learning; Unsupervised learning

Indexed keywords

BACKPROPAGATION; ELECTRIC LOAD MANAGEMENT; ELECTRIC LOADS; ELECTRIC NETWORK TOPOLOGY; HIERARCHICAL SYSTEMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; NEURAL NETWORKS; OUTAGES;

BACKPROPAGATION ALGORITHMS; ENTROPY CONCEPT; PARALLEL SELF ORGANIZING HIERARCHICAL NEURAL NETWORK; SUPERVISED LEARNING; UNSUPERVISED LEARNING;

ELECTRIC POWER SYSTEMS;

EID: 0031678503     PISSN: 13502360     EISSN: None     Source Type: Journal    
DOI: 10.1049/ip-gtd:19981741     Document Type: Article

References (22)

1. STOTT, B., ALSAC, O., and MONTICELLI, A.J.: 'Security analysis and optimization', IEEE Proc., 1987, 75, pp. 1623-1644
2. WOOD, A.J., and WOLLENBERG, B.F.: 'Power generation, operation and control' (Wiley, New York, 1984)
3. ALBUYEH, F., BOSE, A., and HEATH, B.: 'Reactive power consideration in automatic contingency selection', IEEE Trans., 1982, PAS - 101, pp. 107-112
4. LEE, C.Y., and CHEN, N.: 'Distribution factors of reactive power flow in transmission line and transformer outage studies'. Presented at IEEE/PES 1991 summer meeting, Paper 91 SM 448-7 PWRS
5. SINGH, S.N., and SRIVASTAVA, S.C.: 'Improved voltage and reactive power distribution factor for outage studies'. Presented at IEEE/PES 1996 summer meeting. Paper 96 SM 471-3 PWRS
6. BRANDWAJN, V., and LAUBY, M.G.: 'Complete bounding method for a.c. contingency selection', IEEE Trans., 1989, PWRS - 4, pp. 724-729
7. ZABORSZKY, J., HWANG, K.W., and PRASAD, K.: 'Fast contingency evaluation using concentric relaxation', IEEE Trans., 1980, PAS - 99, pp. 28-36
8. CHANG, C.S.: 'Fast power system voltage prediction using knowledge based approach and on-line box data creation', IEE Proc. C. 1989, pp. 87-99
9. DILLON, T.S.: 'Artificial neural network applications power systems and their relationship to symbolic methods', Electrical Power & Energy Syst., 1991, pp. 66-72
10. VIDYASAGAR, S., VANKAYALA, and RAO, N.D.: 'Artificial neural networks and their applications, to power systems: a bibliographical survey', Electric Power Syst. Res., 1993, pp. 67-79
11. KALRA, P.K., SRIVASTAVA, A., and CHATURVEDI, D.K.: 'Possible applications of neural nets to power system operation and control', Electric Power Syst. Res., 1992, pp. 83-90
12. SOBAJIC, D.J., and PAO, Y.H.: 'Artificial neural-net based dynamic security assessment for electric power systems', IEEE Trans., 1989, PWRS - 4, pp. 220-228
13. AGOUNNE, M.E., EL-SHARKWI, A.A.; PARK, D.C., DAMBORG, M.J., and MARKS, R.J.: 'Preliminary results on using artificial neural networks for security assessment', IEEE Trans., 1991, PWRS - 6, pp. 890-896
14. PAO, Y.H., and SOBAJIC, D.J.: 'Combined use of unsupervised and supervised learning for dynamic security assessment', IEEE Trans., 1992, PWRS - 7, pp. 878-884
15. HSU, Y.Y., and YANG, C.C.: 'Fast voltage estimation using an artificial neural network', Electric Power Syst. Res., 1993, pp. 1-9
16. ERSOY, O.K., and DENG, S.W.: 'Parallel self-organizing hierarchical neural networks with continuous inputs and outputs', IEEE Trans., 1995, NN - 6, pp. 1037-1044
17. RUMELHART, D.E.: 'Parallel distributed processing' (MIT Press, Cambridge, MA, 1988), pp. 318-328
18. PAO, Y.H.: 'Adaptive pattern recognition and neural networks' (Addison-Wesley, Reading, MA, 1989)
19. HAMMING, R.W.: 'Coding and information theory' (Prentice Hall, Englewood Cliffs, NJ, 1980)
20. FREEMAN, J.A., and SKAPURA, D.M.: 'Neural network algorithms, applications and programming techniques' (Addison-Wesley, NY, 1992)
21. PAI, M.A.: 'Computer techniques in power system analysis' (Tata McGraw Hill Ltd, 1979)
22. SINGH, S.N., and SRIVASTAVA, S.C.: 'Corrective action planning to achieve a feasible optimum power flow solution', IEE Proc. C, 1995, pp. 576-582