A refined plant growth simulation algorithm for distribution network reconfiguration

A refined plant growth simulation approach has been proposed in this paper for distribution network reconfiguration. The proposed method combines the heuristic exchange rule used in branch exchange algorithms into the plant growth simulation algorithm for growth points search. The proposed method reduces dramatically the feasible sets of growth points in each iterative step, thus reduces the required run times of load flow, objective function evaluation and morphactin concentration calculation. The effectiveness of the proposed method has been tested and verified on IEEE 33 bus distribution system.

[1]  Y. Mishima,et al.  Loss minimum re-configuration of distribution system by tabu search , 2002, IEEE/PES Transmission and Distribution Conference and Exhibition.

[2]  Yin Xianggen,et al.  The improving GA coding and decoding techniques for distribution network reconfigurations , 2004, 39th International Universities Power Engineering Conference, 2004. UPEC 2004..

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

[4]  P. Ravibabu,et al.  Implementation of genetic algorithm for optimal network reconfiguration in distribution systems for load balancing , 2008, 2008 IEEE Region 8 International Conference on Computational Technologies in Electrical and Electronics Engineering.

[5]  Wang Chun-feng,et al.  A Global Optimization Bionics Algorithm for Solving Integer Programming - Plant Growth Simulation Algorithm , 2005 .

[6]  Fu Zheng-cai.  A QUICK BRANCH-EXCHANGE ALGORITHM FOR RECONFIGURATION OF DISTRIBUTION NETWORKS , 2005 .

[7]  Felix F. Wu,et al.  Network Reconfiguration in Distribution Systems for Loss Reduction and Load Balancing , 1989, IEEE Power Engineering Review.

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

[9]  Chun Wang,et al.  Optimization of Network Configuration in Large Distribution Systems Using Plant Growth Simulation Algorithm , 2008, IEEE Transactions on Power Systems.

[10]  M.A.N. Guimaraes,et al.  Reconfiguration of distribution systems for stability margin enhancement using tabu search , 2004, 2004 International Conference on Power System Technology, 2004. PowerCon 2004..

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