Abstract




 
   

IJE TRANSACTIONS B: Applications Vol. 15, No. 2 (July 2002) 135-144   

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  DISTRIBUTION SYSTEMS RECONFIGURATION USING PATTERN RECOGNIZER NEURAL NETWORKS
 
 
Ali Reza Fereidunian

Department of Electrical and Computer Engineering, Faculty of Engineering, Tehran University
and Moshanir Power Engineering Services Company, Tehran, Iran, arf@ece.ut.ac.ir

Hamid Lesani

Department of Electrical and Computer Engineering, Faculty of Engineering, Tehran University
Tehran, Iran, lesani@ece.ut.ac.ir

Caro Lucas

Department of Electrical and Computer Engineering, Faculty of Engineering, Tehran University
School of Intelligent Systems, IPM, Tehran, Iran, lucas@karun.ipm.ac.ir

 
 
( Received: August 06, 2000 – Accepted in Final Form: June 17, 2002 )
 
 

Abstract    A novel intelligent neural optimizer with two objective functions is designed for electrical distribution systems. The presented method is faster than alternative optimization methods and is comparable with the most powerful and precise ones. This optimizer is much smaller than similar neural systems. In this work, two intelligent estimators are designed, a load flow program is coded, and a special modified heuristic optimization algorithm is developed and used too. The load pattern concept is used for training ANNs. Finally, the designed optimizer is tested on an example distribution system; simulation results are presented, and compared with similar systems.

 

Keywords    Distribution Systems, Pattern Recognition, Neural Networks, Real-Time Control, Loss Reduction, Load Balancing, Optimization, Decision Making

 

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