RESEARCH ARTICLE

A novel power system reconfiguration for a distribution system with minimum load balancing index using bacterial foraging optimization algorithm

  • K. Sathish KUMAR ,
  • T. JAYABARATHI
Expand
  • School of Electrical Engineering, VIT University, Vellore 632014, India

Received date: 06 May 2012

Accepted date: 02 Jun 2012

Published date: 05 Sep 2012

Copyright

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg

Abstract

In this paper, the objective of minimum load balancing index (LBI) for the 16-bus distribution system is achieved using bacterial foraging optimization algorithm (BFOA). The feeder reconfiguration problem is formulated as a non-linear optimization problem and the optimal solution is obtained using BFOA. With the proposed reconfiguration method, the radial structure of the distribution system is retained and the burden on the optimization technique is reduced. Test results are presented for the 16-bus sample network, the proposed reconfiguration method has effectively decreased the LBI, and the BFOA technique is efficient in searching for the optimal solution.

Cite this article

K. Sathish KUMAR , T. JAYABARATHI . A novel power system reconfiguration for a distribution system with minimum load balancing index using bacterial foraging optimization algorithm[J]. Frontiers in Energy, 2012 , 6(3) : 260 -265 . DOI: 10.1007/s11708-012-0196-8

Acknowledgements

The authors are gratitude for the management of Vellore Institute of Technology University, Vellore, India, for providing the necessary facilities and encouragement to carry out this work.
1
Rao P V V R, Sivanagaraju S. Radial distribution network reconfiguration for loss reduction and load balancing using plant growth simulation algorithm. International Journal on Electrical Engineering and Informatics, 2010, 2(4): 266-277

2
Kashem M A, Ganapathy V. Three phase load balancing in distribution systems using index measurement technique. Electric Power and Energy Systems, 2002, 24(1): 31-40

DOI

3
Ravibabu P, Venkatesh K, Kumar C S. Implementation of genetic algorithm for optimal network reconfiguration in distribution systems for load balancing. In: IEEE Region 8 International Conference on Computational Technologies in Electrical and Electronics Engineering. Novosibirsk, Russia, 2008, 124-128

4
Civanlar S, Grainger J J, Yin H, Lee S S H. Distribution feeder reconfiguration for loss reduction. IEEE Transactions on Power Delivery, 1988, 3(3): 1217-1223

DOI

5
Augugliaro A, Dusonchet L, Ippolito M G, Sanseverino E R. Minimum losses reconfiguration of MV distribution networks through local control of tie-switches. IEEE Transactions on Power Delivery, 2003, 18(3): 762-771

DOI

6
Chen H N, Zhu Y L, Hu K Y. Adaptive bacterial foraging optimization. Abstract and Applied Analysis, 2011, •••: 108269

DOI

7
Dasgupta S, Das S, Abraham A, Biswas A. Adaptive computational chemotaxis in bacterial foraging optimization: an analysis. IEEE Transactions on Evolutionary Computation, 2009, 13(4): 919-940

DOI

8
Das S, Dasgupta S, Biswas A, Abraham A, Konar A. On stability of the chemotactic dynamics in bacterial-foraging optimization algorithm. IEEE Transactions on Systems, Man, and Cybernetics. Part A, Systems and Humans, 2009, 39(3): 670-679

DOI

9
Kumar K S, Jayabarathi T. Power system reconfiguration and loss minimization for an distribution systems using bacterial foraging optimization algorithm. International Journal of Electrical Power & Energy Systems, 2012, 36(1): 13-17

DOI

Outlines

/