Novel Formulation using Artificial Neural Networks for Fault Diagnosis in Electric Power Systems - A Modular Approach

Electronics Engineering, Technological Institute, Mérida México, agustin.flores@cfe.gob.mx Eduardo Quiles, Emilio García, Francisco Morant . Department of Systems and Automatic Engineering , Thechnical University, Valencia Spain, equiles@isa.upv.es, egarciam@isa.upv.es Copyright © JES 2009 on-line : journal.esrgroups.org/jes Agustin Flores Eduardo Quiles Emilio García Francisco Morant J. Electrical Systems x-x (2010): x-xx

[1]  Zhu Yongli,et al.  Bayesian networks-based approach for power systems fault diagnosis , 2006, IEEE Transactions on Power Delivery.

[2]  H. Khorashadi-Zadeh,et al.  Transmission Line Fault Detection & Phase Selection using ANN , 2003 .

[3]  Y. C. Huang Abductive Reasoning Network-Based Diagnosis System for Fault Section Estimation in Power Systems , 2002, IEEE Power Engineering Review.

[4]  Yong-Hua Song,et al.  Fault diagnosis of electric power systems based on fuzzy Petri nets , 2004 .

[5]  H.A. Ashour,et al.  Online fault detection of transmission line using artificial neural network , 2004, 2004 International Conference on Power System Technology, 2004. PowerCon 2004..

[6]  Kevin Tomsovic,et al.  Dynamic Security Margin Estimation with Preventive Control Using Artificial Neural Networks , 2005 .

[7]  Zuhair Bandar,et al.  A Modular Neural Network Architecture with Additional Generalization Abilities for Large Input Vectors , 1997, ICANNGA.

[8]  Zhi-Hua Zhou,et al.  A general design technique for fault diagnostic systems , 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

[9]  Xu Jianqiang,et al.  Self-adaptive Clustering Algorithm Based RBF Neural Network and its Application in the Fault Diagnosis of Power Systems , 2005, 2005 IEEE/PES Transmission & Distribution Conference & Exposition: Asia and Pacific.

[10]  James R. McDonald,et al.  Automating power system fault diagnosis through multi-agent system technology , 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.

[11]  Yu Zhao,et al.  Application of SOM neural network in fault diagnosis of the steam turbine regenerative system , 2002, Proceedings. International Conference on Machine Learning and Cybernetics.

[12]  A.A. El Fergany,et al.  Fault diagnosis of power systems using binary information of breakers and relays through DPNs , 2002, Proceedings. International Conference on Power System Technology.

[13]  B. J. Cory,et al.  Security dispatch using the Hopfield neural network , 1999 .

[14]  Raj Aggarwal,et al.  Artificial neural networks in power systems. II. Types of artificial neural networks , 1998 .

[15]  Raj Aggarwal,et al.  Artificial neural networks in power systems. I. General introduction to neural computing , 1997 .

[16]  Chen-Ching Liu,et al.  Multiple hypotheses and their credibility in on-line fault diagnosis , 2001 .

[17]  Raj Aggarwal,et al.  Artificial neural networks in power systems. III. Examples of applications in power systems , 1998 .

[18]  M. Negnevitsky,et al.  Neural networks approach to online identification of multiple failures of protection systems , 2005, IEEE Transactions on Power Delivery.

[19]  Kwang Y. Lee,et al.  Approximate Loading Margin Methods Using Artificial Neural Networks in Power Systems , 2009, 2009 15th International Conference on Intelligent System Applications to Power Systems.