Fuzzy neural network applications to power systems

This paper presents an overview on applications of fuzzy neural networks to power systems. The idea of integrating an artificial neural network with fuzzy logic has been proposed to achieve tractability, robustness, and low solution cost of the systems to be studied in solving complicated problems. The idea is referred to as fuzzy neural networks, neuro-fuzzy or fuzzy-neuro. In this paper, studies on applications of fuzzy neural networks to power systems are investigated.

[1]  B. Kosko.  Fuzzy systems as universal approximators , 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.

[2]  Lotfi A. Zadeh,et al.  The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .

[3]  Takashi Hiyama.  Application of neural network to real time tuning of fuzzy logic PSS , 1993, [1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems.

[4]  Chen-Sung Chang,et al.  Neuro-fuzzy networks for voltage security monitoring based on synchronized phasor measurements , 1998 .

[5]  Yuan-Yih Hsu,et al.  A combined artificial neural network-fuzzy dynamic programming approach to reactive power/voltage control in a distribution substation , 1998 .

[6]  S. Iwamoto,et al.  Application of neural network based fuzzy control to power system generator , 1991, Proceedings of the First International Forum on Applications of Neural Networks to Power Systems.

[7]  Kwang-Ho Kim,et al.  Implementation of hybrid short-term load forecasting system using artificial neural networks and fuzzy expert systems , 1995 .

[8]  H. R. Kassaei,et al.  A hybrid fuzzy, neural network bus load modeling and predication , 1999 .

[9]  A. C. Liew,et al.  Forecasting daily load curves using a hybrid fuzzy-neural approach , 1994 .

[10]  Hiroyuki Mori,et al.  A preconditioned fast decoupled power flow method for contingency screening , 1995 .

[11]  M. Daneshdoost,et al.  Neural network with fuzzy set-based classification for short-term load forecasting , 1998 .

[12]  A. C. Liew,et al.  Fuzzy neural network and fuzzy expert system for load forecasting , 1996 .

[13]  S. M. Shahidehpour,et al.  AI approach to optimal VAr control with fuzzy reactive loads , 1995 .

[14]  S. J. Kiartzis,et al.  Short term load forecasting using fuzzy neural networks , 1995 .

[15]  Dipti Srinivasan,et al.  Parallel neural network-fuzzy expert system strategy for short-term load forecasting: system implementation and performance evaluation , 1999 .

[16]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[17]  Jerry M. Mendel,et al.  Generating fuzzy rules by learning from examples , 1992, IEEE Trans. Syst. Man Cybern..

[18]  Mu-Chun Su,et al.  Application of a novel fuzzy neural network to real-time transient stability swings prediction based on synchronized phasor measurements , 1999 .

[19]  Dipti Srinivasan,et al.  Practical implementation of a hybrid fuzzy neural network for one-day-ahead load forecasting , 1998 .

[20]  Hong-Chan Chang,et al.  Neural network-based self-organizing fuzzy controller for transient stability of multimachine power systems , 1995 .

[21]  M. A. Abido,et al.  A hybrid neuro-fuzzy power system stabilizer for multimachine power systems , 1998 .

[22]  Adel M. Sharaf,et al.  A novel neuro-fuzzy based self-correcting online electric load forecasting model , 1995 .

[23]  Mu-Chun Su,et al.  Neuro-fuzzy approach to real-time transient stability prediction based on synchronized phasor measurements , 1999 .

[24]  K. L. Lo,et al.  Investigation of extended fuzzy reasoning and neural classification for load-shedding prediction to prevent voltage instability , 1997 .

[25]  H. S. Chandrasekharaiah,et al.  Neuro-fuzzy controller for enhancing the performance of extinction angle control of inverters in a MTDC-AC system , 1993, [1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems.

[26]  A. C. Liew,et al.  Demand forecasting using fuzzy neural computation, with special emphasis on weekend and public holiday forecasting , 1995 .

[27]  Saifur Rahman,et al.  A fuzzy adaptive correction scheme for short term load forecasting using fuzzy layered neural network , 1993, [1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems.

[28]  Adel M. Sharaf,et al.  A neuro-fuzzy hybrid power system stabilizer , 1994 .

[29]  J. Theocharis,et al.  A novel approach to short-term load forecasting using fuzzy neural networks , 1998 .

[30]  Bart Kosko,et al.  Fuzzy Systems as Universal Approximators , 1994, IEEE Trans. Computers.

[31]  Saifur Rahman,et al.  Peak load forecasting using a fuzzy neural network , 1995 .

[32]  Kyu-Bock Cho.  A neuro fuzzy controller for inverter fed variable speed induction motor drive on the power system , 1993, [1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems.

[33]  Simon Parsons,et al.  Soft computing: fuzzy logic, neural networks and distributed artificial intelligence by F. Aminzadeh and M. Jamshidi (Eds.), PTR Prentice Hall, Englewood Cliffs, NJ, pp 301, ISBN 0-13-146234-2 , 1996, Knowl. Eng. Rev..

[34]  Edward T. Lee,et al.  Fuzzy Neural Networks , 1975 .

[35]  Hiroyuki Mori.  Fuzzy inference based identification of load characteristics , 1996, 1996 IEEE International Symposium on Circuits and Systems. Circuits and Systems Connecting the World. ISCAS 96.

[36]  Mo-Yuen Chow,et al.  Neural-fuzzy hybrid system for distribution fault causes identification , 1993, [1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems.