Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 31242
Network Reconfiguration of Distribution System Using Artificial Bee Colony Algorithm

Authors: S. Ganesh


Power distribution systems typically have tie and sectionalizing switches whose states determine the topological configuration of the network. The aim of network reconfiguration of the distribution network is to minimize the losses for a load arrangement at a particular time. Thus the objective function is to minimize the losses of the network by satisfying the distribution network constraints. The various constraints are radiality, voltage limits and the power balance condition. In this paper the status of the switches is obtained by using Artificial Bee Colony (ABC) algorithm. ABC is based on a particular intelligent behavior of honeybee swarms. ABC is developed based on inspecting the behaviors of real bees to find nectar and sharing the information of food sources to the bees in the hive. The proposed methodology has three stages. In stage one ABC is used to find the tie switches, in stage two the identified tie switches are checked for radiality constraint and if the radilaity constraint is satisfied then the procedure is proceeded to stage three otherwise the process is repeated. In stage three load flow analysis is performed. The process is repeated till the losses are minimized. The ABC is implemented to find the power flow path and the Forward Sweeper algorithm is used to calculate the power flow parameters. The proposed methodology is applied for a 33–bus single feeder distribution network using MATLAB.

Keywords: Distribution System, loss reduction, network reconfiguration, Artificial Bee Colony (ABC) algorithm

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 3435


[1] Merlin and H. Back, "Search for a minimal–loss operating spanning tree configuration in an urban power distribution system,” in Proc. 5th System Computation Conf. (PSCC), Cambridge, U.K., pp.1–18, 1975.
[2] M.E Baran and F.F Wu, "Network reconfiguration in distribution systems forloss reduction and load balancing”, IEEE Transactions on Power Delivery, Vol. 4, 01-1407.
[3] R.J Safri, M.M.A Salama and A.Y Chickani, "Distribution system reconfiguration for loss reduction: a new algorithm based on a set of quantified heuristic rules”, Proceedings of Electrical and Computer Engineering, Vol. 1, Canada, 1994, pp. 125-130.
[4] J-C. Wang, H-D. Chiang and G. Darling, "An efficient algorithm for real time network reconfiguration in large scale unbalanced distribution systems”, IEEE Transactions on Power systems, Vol. 11, No. 1, 1996, pp. 5511-5517.
[5] J.Z Zhu, "Optimal reconfiguration of electrical distribution network using the refined GA”, Electric Power System Research, Vol. 62, 2002, pp. 37-84.
[6] W.M. Lin, F.S Cheng and M.T. Tsay, "Distribution feeder reconfiguration with refined GA”, IEEE Proc-Gener. Transmission Distribution, Vol. 147, No. 6, 2000, pp. 1484-1491.H. D.
[7] K. Prasad, R. Ranjan, N.C Sahoo and A. Chaturvedi, "Optimal reconfiguration of radial distribution systems using a fuzzy mutuated GA”, IEEE Transactions on Power Delivery, Vol. 20, No. 2, 2005, pp. 1211-1213.
[8] H. Kim, "ANN based feeder reconfiguration for loss reduction in distribution system”, IEEE Transaction on Power Delivery, Vol. 8,No. 3, 1993, pp. 1356-1366.
[9] C.-H. Lin, "Distribution network reconfiguration for load balancing with a colonal Petri net algorithm”, IEEE Proc-Gener. Transm. Dist., Vol. 150, No. 3, 2003, pp. 317-324.
[10] K.K Li, T.S Chung, G.J Chen and G.Q. Tang, "A T.S approach to distribution network reconfiguration for loss reduction”, Electric Power Components and Systems, Taylor and Francis, 2003. pp. 571-585.
[11] D. Karaboga, "An Idea based on Honey Bee Swarm for Numerical Optimization," Erciyes University, Engineering Faculty, Computer Engineering Department., Tech. Rep. TR06, pp. 1-10, 2005.
[12] D. Karaboga and B. Basturk, "On the Performance of Artificial Bee Colony (ABC) Algorithm," Applied Soft Computing, vol. 8, no. 1, pp. 687-697, 2008.
[13] D. Karaboga and B. Akay, "A Comparative Study of Artificial Bee Colony Algorithm," Applied Mathematics and Computation, vol. 214, no. 1, pp. 108-132, 2009.
[14] Rayapudi Srinivasa Rao, Sadhu Venkata Lakshmi Narasimham, Manyala Ramalinga Raju, and A. Srinivasa Rao, "Optimal Network Reconfiguration of Large-Scale Distribution System Using Harmony Search Algorithm,” IEEE Transactions On Power Systems, Vol. 26, No. 3,pp.1080-1088 August 2011.