Distribution Network Reconfiguration for Power Loss Minimization Using Bacterial Foraging Optimization Algorithm
暂无分享,去创建一个
[1] C. Su,et al. Variable scaling hybrid differential evolution for solving network reconfiguration of distribution systems , 2005 .
[2] J. Z. Zhu. Optimal reconfiguration of electrical distribution network using the refined genetic algorithm , 2002 .
[3] Sukumar Mishra,et al. Transmission Loss Reduction Based on FACTS and Bacteria Foraging Algorithm , 2006, PPSN.
[4] Zahra Boor,et al. GA Based Optimal Placement of DGs for Loss Reduction and Reliability Improvement in Distribution Networks with Time Varying Loads , 2013 .
[5] Kevin M. Passino,et al. Biomimicry of bacterial foraging for distributed optimization and control , 2002 .
[6] M. Afzalan,et al. DG Placement and Sizing in Radial Distribution Network Using PSO&HBMO Algorithms , 2012 .
[7] D. Shirmohammadi,et al. Reconfiguration of electric distribution networks for resistive line losses reduction , 1989 .
[8] K. Passino,et al. Biomimicry of Social Foraging Bacteria for Distributed Optimization: Models, Principles, and Emergent Behaviors , 2002 .
[9] Hong-Chan Chang,et al. Network reconfiguration in distribution systems using simulated annealing , 1994 .
[10] A. Augugliaro,et al. Minimum Losses Reconfiguration of MV Distribution Networks through Local Control of Tie Switches , 2002, IEEE Power Engineering Review.
[11] T. Jayabarathi,et al. Power system reconfiguration and loss minimization for an distribution systems using bacterial foraging optimization algorithm , 2012 .
[12] M. Raju,et al. Optimal Network Reconfiguration of Large-Scale Distribution System Using Harmony Search Algorithm , 2011, IEEE Transactions on Power Systems.
[13] C. N. Bhende,et al. Bacterial Foraging Technique-Based Optimized Active Power Filter for Load Compensation , 2007, IEEE Transactions on Power Delivery.
[14] Dong Hwa Kim,et al. Bacteria Foraging Based Neural Network Fuzzy Learning , 2005, IICAI.
[15] D. Das. A fuzzy multiobjective approach for network reconfiguration of distribution systems , 2006, IEEE Transactions on Power Delivery.
[16] H. Chiang,et al. Optimal network reconfigurations in distribution systems. I. A new formulation and a solution methodology , 1990 .
[17] E. S. Gopi. Mathematical Summary for Digital Signal Processing Applications with Matlab , 2010 .
[18] Taher Niknam,et al. A hybrid evolutionary algorithm for distribution feeder reconfiguration , 2010 .
[19] Soodabeh Soleymani,et al. A New Distribution Network Reconfiguration Approach using a Tree Model , 2009 .
[20] J. J. Grainger,et al. Distribution feeder reconfiguration for loss reduction , 1988 .
[21] M Ehsan,et al. A NEW METHOD FOR LOAD FLOW ON RADIAL DISTRIBUTION NETWORK , 2009 .
[22] Feng-Sheng Wang,et al. Hybrid method of evolutionary algorithms for static and dynamic optimization problems with application to a fed-batch fermentation process , 1999 .
[23] Hoyong Kim,et al. Artificial neural-network based feeder reconfiguration for loss reduction in distribution systems , 1993 .
[24] Sukumar Mishra,et al. A hybrid least square-fuzzy bacterial foraging strategy for harmonic estimation , 2005, IEEE Transactions on Evolutionary Computation.
[25] M. Kitagawa,et al. Implementation of genetic algorithm for distribution systems loss minimum re-configuration , 1992 .
[26] Mostafa Sedighizadeh,et al. Optimal reconfiguration and capacitor placement for power loss reduction of distribution system using improved binary particle swarm optimization , 2014 .
[27] N. Bretas,et al. Main chain representation for evolutionary algorithms applied to distribution system reconfiguration , 2005, IEEE Transactions on Power Systems.