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

by E. R. Biju, M. Anitha
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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
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Index Terms

Computer Science
Information Sciences

Keywords

Distributed generation bacterial foraging algorithm reliability indices radial distribution network.

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