Recent Developments on Applications of Neural Networks to Power Systems Operation and Control: An Overview

Artificial neural networks (ANNs) have found many potential applications in power systems operation and control recently. This paper presents a categorization of the main significant applications of neural networks, which includes power system controller design, power system security assessment and load forecasting. It is desired that they are helpful to the construction of more efficient, robust ANNs to solve a broader range of problems in power systems.

[1]  T. Funabashi,et al.  One-Hour-Ahead Load Forecasting Using Neural Networks , 2002 .

[2]  M.A. El-Sharkawi,et al.  Support vector and multilayer perceptron neural networks applied to power systems transient stability analysis with input dimensionality reduction , 2002, IEEE Power Engineering Society Summer Meeting,.

[3]  C. M. Lim Neural network control for damping of multi-mode oscillations in a power system , 2001, Proceedings of IEEE Region 10 International Conference on Electrical and Electronic Technology. TENCON 2001 (Cat. No.01CH37239).

[4]  S. M. Halpin,et al.  Applicability of neural networks to industrial and commercial power systems: a tutorial overview , 1996, Proceedings of 1996 IAS Industrial and Commercial Power Systems Technical Conference.

[5]  Detlef Nauck,et al.  Foundations Of Neuro-Fuzzy Systems , 1997 .

[6]  Mu-Chun Su,et al.  Neural-network-based fuzzy model and its application to transient stability prediction in power systems , 1999, IEEE Trans. Syst. Man Cybern. Part C.

[7]  H.C.S. Rughooputh,et al.  A hybrid neural network-decision tree-based method for transient stability assessment , 2002, IEEE AFRICON. 6th Africon Conference in Africa,.

[8]  G. Lambert-Torres,et al.  Application of rough sets in power system control center data mining , 2002, 2002 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.02CH37309).

[9]  V. L. Paucar,et al.  A methodology based on neural networks for the determination of the critical clearing time of power systems transient stability , 2002, Proceedings. International Conference on Power System Technology.

[10]  Krzysztof Siwek,et al.  Regularisation of neural networks for improved load forecasting in the power system , 2002 .

[11]  Y.J. Cao,et al.  Performance of the novel rough fuzzy-neural network on short-term load forecasting , 2004, IEEE PES Power Systems Conference and Exposition, 2004..

[12]  S. C. Srivastava,et al.  A neural network based power system stabilizer suitable for on-line training-a practical case study for EGAT system , 2000 .

[13]  C. Guo,et al.  Swarm intelligence for mixed-variable design optimization , 2004, Journal of Zhejiang University. Science.

[14]  R. Słowiński Intelligent Decision Support: Handbook of Applications and Advances of the Rough Sets Theory , 1992 .

[15]  C. Jensen,et al.  Power System Security Assessment Using Neural Networks: Feature Selection Using Fisher Discrimination , 2001, IEEE Power Engineering Review.