CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Bacterial Foraging Algorithm for Reliability Performance of Radial Distribution System with DG

by E. R. Biju, M. Anitha
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 80 - Number 5
Year of Publication: 2013
Authors: E. R. Biju, M. Anitha
10.5120/13855-1694

E. R. Biju, M. Anitha . Bacterial Foraging Algorithm for Reliability Performance of Radial Distribution System with DG. International Journal of Computer Applications. 80, 5 ( October 2013), 6-12. DOI=10.5120/13855-1694

@article{ 10.5120/13855-1694,
author = { E. R. Biju, M. Anitha },
title = { Bacterial Foraging Algorithm for Reliability Performance of Radial Distribution System with DG },
journal = { International Journal of Computer Applications },
issue_date = { October 2013 },
volume = { 80 },
number = { 5 },
month = { October },
year = { 2013 },
issn = { 0975-8887 },
pages = { 6-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume80/number5/13855-1694/ },
doi = { 10.5120/13855-1694 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:53:43.023094+05:30
%A E. R. Biju
%A M. Anitha
%T Bacterial Foraging Algorithm for Reliability Performance of Radial Distribution System with DG
%J International Journal of Computer Applications
%@ 0975-8887
%V 80
%N 5
%P 6-12
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Assessment of customer power supply reliability is an important part of distribution system operation and planning. Distribution system reliability assessment is able to predict the interruption profile of a distribution system based on system topology and component reliability data. In this paper, a methodology has been developed for reliability enhancement of radial distribution system having distributed generation (DG). DG is being adopted in distribution networks with one of the objectives being enhancement of system reliability. By determining the optimum values of failure rates/repair times, reliability of the distribution system has been optimized subjected to constraints on customer and energy based indices i. e. SAIFI, SAIDI, CAIDI, AENS, and ASAI. The objective function includes (i) cost of modification for failure rates/repair times (ii) additional cost of expected energy supplied by DG. A recently developed Bacterial foraging algorithm (BFA) is employed to solve the optimization problem. The proposed algorithm has been implemented on an eight node distribution network. The obtained results are compared with PSO, CAPSO and DE algorithms.

References
  1. R. Billington and W. Li, 1994, "Reliability Assessment of Electric Power Systems Using Monte Carlo Methods", Plenum, New York.
  2. R. Billinton and R. N Allan, 1996,"Reliability evaluation of power systems", Springer International Edition
  3. A. A Sallam, M. Desouky and H. Desouky, 1990, "Evaluation of optimal reliability indices for Electrical Distribution Systems", IEEE Transactions on Reliability, Vol. 39, No. 3, pp. 259 – 264.
  4. W. F. Chang and Y. C Wu, 2003, "Optimal reliability design in an electrical distribution system via polynomial-time algorithm", Electric Power and Energy Systems, Vol. 25, pp. 659–666.
  5. A. A Chowdhury and D. E. Custer, 2005, "A value based probabilistic approach to designing urban distribution systems", Electric Power and Energy Systems, Vol. 27, pp. 647–655.
  6. C. T Su and G. R Lii, 2002, "Reliability design of distribution systems using modified genetic algorithms", Electric Power System Research, Vol. 60, pp. 201–206.
  7. S. Chandra Mohan, N. Atturulu, R. P Kumudini Devi and B. Venketesh, 2010, "Operating cost minimization of a radial distribution system in a deregulated electricity market through reconfiguration using NSGA method", Electrical Power and Energy Systems, Vol. 32, pp. 126–132.
  8. J. Mendoza, M. Lopez, C. Coello and E. Lopez, 2009, "Microgenetic multiobjective reconfiguration algorithm considering power losses and reliability indices for medium voltage distribution network", IET Generation, Transmission and Distribution, Vol. 3, No. 9, pp. 825-840.
  9. Bae In-Su and Kim Jin-O, 2007, "Reliability evaluation of distributed generation based on operation mode," IEEE Transactions on Power Systems, Vol. 22, No. 2, pp. 785 -790.
  10. T. Gozel and M. H. Hocaoglu, 2009, "An analytical method for the sizing and siting of distributed generators in radial systems," Electric Power Systems Research, Vol. 79, No. 6, pp. 912–918.
  11. D. Singh and K. S. Verma, 2009, "Multiobjective optimization for DG planning with load models", IEEE Transactions on Power Systems, Vol. 24, No. 1, pp. 427-436.
  12. Reza Baghipour and Seyyed Mehdi Hosseini, 2012, "Placement of DG and Capacitor for Loss Reduction, Reliability and Voltage Improvement in Distribution Networks Using BPSO", Intelligent Systems and Applications, Vol. 12, pp. 57-64.
  13. B. Kevin and M. Passino, 2002, "Biomimicry of bacterial foraging for distributed optimization and control", IEEE Control System Magazine, Vol. 22, No. 3, pp. 52–67.
  14. L. D. Arya, S. C. Choube and Rajesh Arya, 2011, "Differential evolution applied for reliability optimization of radial distribution systems", Electrical Power and Energy Systems, Vol. 33, pp. 271-277.
  15. Rajesh Arya, S. C, Chohbe and L. D Arya, 2012, "Reliability evaluation and enhancement of distribution systems in the presence of distributed generation based on standby mode", Electrical Power and Energy Systems, Vol. 43, pp. 607-616.
Index Terms

Computer Science
Information Sciences

Keywords

Distributed generation bacterial foraging algorithm reliability indices radial distribution network.

Powered by PhDFocusTM