Development of a neural network model for rotor angle estimation

International Journal of Engineering Intelligent Systems for Electrical Engineering and Communications

Volumn 6, Issue 1, 1998, Pages 13-18

  Camm, Ernst H ^a   Keyhani, Ali ^a   Pillutla, Srinivas ^a  

^a The Ohio State University   (United States)

Author keywords

Back propagation learning rule; Neural networks; Performance evaluation; Power angle instrument; Synchronous machine; Training

Indexed keywords

BACKPROPAGATION; COMPUTER SIMULATION; LEARNING SYSTEMS; MATHEMATICAL MODELS; ROTORS; SYNCHRONOUS MACHINERY;

PARK'S EQUATION; POWER ANGLE INSTRUMENTS;

FEEDFORWARD NEURAL NETWORKS;

EID: 0032028160     PISSN: 09691170     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (16)

1. B.K. Bose, 'Power Electronics and A.C Drives', New Jersey: Prentice Hall Inc. (1986).
2. W.Leonhard, 'Microcomputer Control of High Dynamic Performance AC-Drives - A Survey', 1986 International Federation of Automatic Control, Pergamon Press Ltd.
3. P.C Krause, 'Analysis of Electric Machinery', Mc-Graw Hill Inc. (1986).
4. R.P Lippmann, 'An Introduction to Computing with Neural Nets', IEEE ASSP Magazine (April 1987).
5. S.Huang and Y.Huang, 'Bounds on the Number of Hidden Neurons in Multi-Layer Perceptrons', IEEE Transactions on Neural Networks, Vol.2 No.1 (January 1991).
6. D.E Rumelhart, G.E Hinton and R.J Williams, 'Learning Internal Representations on Error Propagation in Neurocomputing : Foundations of Research', J.A. Anderson and E. Rosenfeld (Eds.), MIT Press (1988).
7. D.J Sobajic and Y.Pao, 'Artificial Neural-Net Based Dynamic Security Assessment of Electric Power Systems', IEEE Transactions on Power Systems, Vol.4 No.1 (February 1989).
8. M.E. Aggoune, L.E. Atlas, D.A. Cohn, M.J. Damborg, M.A.El-Sharkawi and R.J. Marks II, 'Artificial Neural Networks for Power Systems Static Security Assessment', IEEE International Symposium on Circuits and Systems (1989).
9. R. Fischl, M.Kam, J-C Chow and S.Ricciardi, 'Screening Power System Contingencies using a Back-Propagation Trained Multi-Perceptron', IEEE International Symposium on Circuits and Systems, Vol.1, pp. 486-489 (1989).
10. Y.-H.Pao, 'Adaptive Pattern Recognition and Neural Networks', Addison-Wesley Publishing Company. Inc. (1989).
11. Kumpati S.Narendra and Kannan Parthasarathy, 'Identification and Control of Dynamical Systems using Neural Networks'. IEEE Transactions on Neural Networks, Vol.1 No.1 (March 1990).
12. S.C. Ahalt, P. Chen, C.T. Chou, S. Kuttuva, T. Little, 'The Neural Shell : A Network Simulation Tool', International Journal for Engineering Application of Artificial Intelligence, Special Issue on Neural Networks and Parallel Processing, Vol.5 No.3 (May 1992).
13. A. Keyhani, A. Katbab and H.R Emami, 'Digital Simulation and Spectral Density Analysis for Array Processor-based Applications', Electrical Power and Energy Systems, Vol.9 No.3 (July 1987).
14. Systems Control Technology Inc., 'Model-C User's Guide', Sunview Version 1.4 (October 1990).
15. Proceedings of the International System on Power System Stability, Ames, Iowa (May 1985).
16. 'Self-Calibrating Power Angle Instrument', Volume 1 and 2, EPRI Final Report, EPRI-GS-6475, prepared by Arizona Public Service Company, Project 2591-1 (August 1991).