Overview on Distribution Network Reconfiguration Optimization Algorithm

With the increasing demands are beyond the capacity of the power generation and the progressive demands for higher power quality, it requires for further study on distribution system reconfiguration. This paper describes the distribution network reconfiguration algorithms in detail. The advantages and disadvantages of the various algorithms and improvement are also analyzed in this paper. At the end of the paper, the development directions of distribution network reconfiguration are discussed.

[1]  Alan F. Murray,et al.  IEEE International Conference on Neural Networks , 1997 .

[2]  A. Y. Chikhani,et al.  Feeder reconfiguration for loss reduction: an application of distribution automation , 1991 .

[3]  Hoyong Kim,et al.  Artificial neural-network based feeder reconfiguration for loss reduction in distribution systems , 1993 .

[4]  P. Cochat,et al.  Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.

[5]  S. K. Basu,et al.  A new algorithm for the reconfiguration of distribution feeders for loss minimization , 1992 .

[6]  J. J. Grainger,et al.  Distribution feeder reconfiguration for loss reduction , 1988 .

[7]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[8]  M. Kitagawa,et al.  Implementation of genetic algorithm for distribution systems loss minimum re-configuration , 1992 .

[9]  I. Mareels,et al.  An efficient brute-force solution to the network reconfiguration problem , 2000 .

[10]  Ming-Tong Tsay,et al.  Distribution feeder reconfiguration with refined genetic algorithm , 2000 .

[11]  H. Chiang,et al.  Optimal network reconfigurations in distribution systems. I. A new formulation and a solution methodology , 1990 .

[12]  K. Aoki,et al.  Normal State Optimal Load Allocation in Distribution Systems , 1987, IEEE Transactions on Power Delivery.

[13]  Hsiao-Dong Chiang,et al.  Optimal network reconfigurations in distribution systems. II. Solution algorithms and numerical results , 1990 .

[14]  Russell C. Eberhart,et al.  A discrete binary version of the particle swarm algorithm , 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.

[15]  A. Y. Chikhani,et al.  Distribution system reconfiguration for loss reduction: an algorithm based on network partitioning theory , 1995 .

[16]  Mahmoud Moghavvemi,et al.  Artificial neural network approach to network reconfiguration for loss minimization in distribution networks , 1998 .