Application of Artificial Bee Colony Algorithm for Distribution Network Reconfiguration

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—Network reconfiguration is a process of changing the original structure of the distribution network system with the intention of balancing the load in every system’s feeder at the same time to optimize the operation of the system. The process involve the changing of switching state (tie switches and sectionalize switches), with the aim to find the best combination that can increase the performance of the system while satisfying with the operational constraints. The extreme necessity to the process has become a challenging mission for the researcher to overcome the reconfiguration problems. Recent years have seen a rapid development of evolutionary algorithms and swarm intelligence based algorithms to resolve for network reconfiguration problems. For that reason, this report deals with Artificial Bee Colony (ABC) algorithm to be implemented in network reconfiguration procedure to achieve the optimum level of operation. The ease and simplicity of the algorithm and the capability to find the global optimization solution has made this algorithm appropriate for this project. The objective of this work focused on improvements of distribution power system, in terms of minimizing the total real power loss and improving the voltage profile within the acceptable value. The algorithm was tested on two different radial distribution system (33 bus and 69 bus radial distribution systems)

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38-42

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August 2015

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] Debapriya Das, A fuzzy Multiobjective approach for network reconfiguration of distribution system, IEEE Transactions on Power Delivery, vol. 21, No. 1, Januari (2006).

DOI: 10.1109/tpwrd.2005.852335

Google Scholar

[2] A. Swarnkar, N. Gupta, K. R. Niazi, Efficient reconfiguration of distribution systems using ant colony optimization adapted by graph theory, Power and Energy Society General Meeting, (2011).

DOI: 10.1109/pes.2011.6039006

Google Scholar

[3] E. Dolatdar, S. Soleymani, B. Mozafari, A new distribution network reconfiguration approach using a tree model, World Academy of Science, Engineering and Technology, 58, (2009).

Google Scholar

[4] P. V. Prasad, S. Sivanagaraju, N. Sreenivasulu, Network reconfiguration for load balancing in radial distribution systems using genetic algorithm, Electric Power Components and Systems, 36: 63-72, (2008).

DOI: 10.1080/15325000701473783

Google Scholar

[5] Anoop Arya, Yogendra Kumar and Manisha Dubey, Reconfiguration of electric distribution network using modified particle swarm optimization, International Journal of Computer Applications (0975 – 8887), volume 34 – no. 6, Nov (2011).

Google Scholar

[6] N. Rugthaicharoencheep and S. Sirisumrannukul, Feeder Reconfiguration with Dispactchable Distributed Generators in Distribution System by Tabu Search, in Proc. 44th Int. Universities Power Engineering Conference, Glasgow, Scotland, Sept. 1-4, (2009).

DOI: 10.1109/supergen.2009.5348230

Google Scholar

[7] C. R. Wang and Y. E. Zhang, Distribution network reconfiguration based on modified particle swarm optimization algorithm, in Proceedings of the Fifth International Conference on Machine Learning and Cybernetics, Dalian, 13-16 August (2006).

DOI: 10.1109/icmlc.2006.258346

Google Scholar

[8] R. Srinivasa Rao, S. V. L. Narasimham, M. Ramalingaraju, Optimization of distribution network configuration for loss reduction using artificial bee colony algorithm, World Academy of Science, engineering and Technology, 45, (2008).

Google Scholar