[1] B. Arandian, R. A. Hooshmand, E. Gholipour, “Decreasing activity cost of a distribution system company by reconfiguration and power generation control of DGs based on shuffled frog leaping algorithm, ” Electrical Power and Energy Systems, 2014; 61:48-55.
[2] A. Zidan, F. E. El-Saadany, “Distribution system reconfiguration for energy loss reduction considering the variability of load and local renewable generation, ” Energy 2013; 59: 698–707.
[3] A. Merlin, H. Back, “Search for a Minimum-Loss Operating Spanning Tree Configuration for an Urban Power Distribution System, ” Proc. Of 5th Power Systems Comp. Conf., Cambridge, UK, Sept. 1-5,1975.
[4] S. Civanlar, J. 1. Grainger, H. Yin, S. S. H. Lee, “Distribution Feeder Reconfiguration for Loss Reduction, ” IEEE Transactions on Power Delivery, vol. 3, No. 3,pp. 1217-1223, July 1988.
[5] D. Shirmohammadi, H. W. Hong, “Reconfiguration of Electric Distribution Networks for Resistive Line Losses Reduction, ” IEEE Transactions on Power Delivery, vol. 4, No. 2, pp. 1492-1498, April 1989.
[6] M. E. Baran, F. F. Wu, “Network reconfiguration in distribution systems for loss reduction and load balancing, ” IEEE Transactions on Power Delivery, vol. 4,No. 2,pp. 1401-1407, April 1989.
[7] A. B. Morton, I. M. Y. Mareels, “An Efficient Brute-Force Solution to the Network Reconfiguration Problem, ” IEEE Transactions on Power Delivery, vol. 15. No. 3, pp. 996-1000, July 2000.
[8] H. D. Chiang, R. Jean-Jumeau, “Optimal Network Reconfigurations in Distribution Systems: Part 1: A New Formulation and A Solution Methodology, ” IEEE Transactions on Power Delivery, Vol. 5, No. 4, pp. 1902-1909, November 1994.
[9] Nara, A. Shiose, M. Kitagawa, T. Ishihara, “Implementation of genetic algorithms for distribution systems loss minimum reconfiguration, ” IEEE Transactions on Power System, vol. 7, No. 3, pp. 1643-1647, August 1992.
[10] X. Jin, J. Zhao, Y. Sun, K. Li, B. Zhang, “Distribution network reconfiguration for load balancing using binary particle swarm optimization, ” International conf. power, pp. 507-510, November 2004.
[11] T. Niknam, “An efficient hybrid evolutionary algorithm based on PSO and HBMO algorithms for multi-objective distribution feeder reconfiguratio, ” Energy Convers Manage 2009;50:2074–82.
[12] S. CT, CF. Chang, JP. Chiou, “Distribution network reconfiguration for loss reduction by ant colony search algorithm, ” Electric Power Syst Res 2005;75:190–9.
[13] Y. Wu, C. Lee, L.C. Liu, “Study of Reconfiguration for the Distribution System With Distributed Generators, ” IEEE Trans. Power Del. vol. 25,no. 3, July 2010.
[14] J. Olamaei, T. Niknam, G. Gharehpetian, “Application of particle swarm optimization for distribution feeder reconfiguration considering distributed generators, ” Applied Mathematics and Computation, 201 (2008), p.p. 575–586.
[15] Ch. Wang, H. Zhong Cheng, “Optimazation of Network Configuration in Large Distribution Systems Using Plant Growth Simulation Algorithm, ” IEEE Transactionson Power Systems, vol. 23, no. 1, February 2008.
[16] A. R. Daniel, A. A. Chen, “Stochastic simulation and forecasting of hourly average wind speed sequences in Jamaica, ” Solar Energy, vol. 46, no. 1, pp. 1–11, 1991.
[17] Y. M Atwa, E. F El-Saadany, M. M. A Salama, R. Seethapathy, “Optimal renewable resources mix for distribution system energy loss minimization, ” IEEE Transactionson Power Systems, vol. 25(1), pp. :360-70, February 2010.
[18] N. Rugthaicharoencheep, S. Sirisumrannukul, “Feeder Reconfiguration with Dispatchable Distributed Generators in Distribution System by Tabu Search, ” 978-0-947649-44-9/09/$26 .00 ©2009 IEEE.
[19] N. Watrin, B. Blunier, A. Miraoui, “Review of Adaptive Systems for Lithium Batteries State of Charge and State of Health Estimation, ” in IEEE transportation Electrification Conference and expo, pp.1-6, Dearborn, Mich, USA, June 2012.
[20] S. Civanlar, J. 1. Grainger, H. Yin, S. S. H. Lee, “Distribution Feeder Reconfiguration for Loss Reduction, ” IEEE Transactions on Power Delivery, vol. 3, No. 3, pp. 1217-1223, July 1988.