Open Access   Article Go Back

Reconfiguration of Distributed Network using Binary Particle Swarm Optimization Method

Manjunath Ravikumar1

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-7 , Page no. 1443-1445, Jul-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i7.14431445

Online published on Jul 31, 2018

Copyright © Manjunath Ravikumar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

XML View
PDF Download

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Manjunath Ravikumar, “Reconfiguration of Distributed Network using Binary Particle Swarm Optimization Method,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.1443-1445, 2018.

MLA Style Citation: Manjunath Ravikumar "Reconfiguration of Distributed Network using Binary Particle Swarm Optimization Method." International Journal of Computer Sciences and Engineering 6.7 (2018): 1443-1445.

APA Style Citation: Manjunath Ravikumar, (2018). Reconfiguration of Distributed Network using Binary Particle Swarm Optimization Method. International Journal of Computer Sciences and Engineering, 6(7), 1443-1445.

BibTex Style Citation:
@article{Ravikumar_2018,
author = {Manjunath Ravikumar},
title = {Reconfiguration of Distributed Network using Binary Particle Swarm Optimization Method},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2018},
volume = {6},
Issue = {7},
month = {7},
year = {2018},
issn = {2347-2693},
pages = {1443-1445},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2624},
doi = {https://doi.org/10.26438/ijcse/v6i7.14431445}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i7.14431445}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2624
TI - Reconfiguration of Distributed Network using Binary Particle Swarm Optimization Method
T2 - International Journal of Computer Sciences and Engineering
AU - Manjunath Ravikumar
PY - 2018
DA - 2018/07/31
PB - IJCSE, Indore, INDIA
SP - 1443-1445
IS - 7
VL - 6
SN - 2347-2693
ER -

VIEWS PDF XML
601 369 downloads 274 downloads
  
  
           

Abstract

In this paper the network reconfiguration based on the method of Binary Particle Swarm Optimization Method (BPSO). It is used to find the optimal distribution network configuration for power loss minimization. The main objective of this paper is to minimize the power loss in the network system by employing reconfiguration technique. This method is applied on 33bus system then it has been verified by BPSO. The proposed work is gives an good performance over the distributed network.

Key-Words / Index Term

BPSO, Power Loss Reduction, Reconfiguration, Distributed network

References

[1] Dai, W, Sheng, W.X.,Liu, K.Y. Sheng, Y, Ye,
Z.J,” A novel reconfiguration method in smart
distribution grid considering interval data and
distributed generation. “, In Proceedings of the
International Conference on Computer
Information Systems and Industrial Applications
(CISIA 2015), Bangkok, Thailand,,
pp. 25–28, June 2015.
[2] Gomes, F.V, Carneiro, S, Pereira, J.L.R,
Vinagre,.M.P, Garcia, P.A.N, Araujo, L.R. “A
new heuristic reconfiguration algorithm for large
distribution systems. “,IEEE Trans. Power Syst. ,
pp.1373–1378, 2005.
[3] S. Sultana, P. Kumar Roy, “Oppositional krill
herd algorithm for optimal location of capacitor
with reconfiguration in radial distribution
system,” Electrical Power and Energy Systems,
vol. 74, pp. 78–90, 2016.
[4] S. Naveen, K. Kumar, K. Raja Lakshmi,
“Distribution system reconfiguration for loss
minimization using modified bacterial
foraging optimization algorithm,” Electrical
Power and Energy Systems, vol. 55,
pp.128– 143, 2014.
[5] B. Amanulla, S. Chakrabarti and S. Singh,
“Reconfiguration of Power Distribution Systems
Considering Reliability and Power Loss,” IEEE
Trans on Power Delivery, vol. 27, no. 2,
pp. 918-926, 2012.
[6] H. L. Willis, Power Distribution Planning
Reference Book, 2nd ed. New York: Mercel
Dekkar, 2004
[7] M. E. Baran and F. F. Wu, “Network
Reconfiguration in distribution systems for loss
reduction and load balancing,” IEEE Trans.
Power De., vol. 4, no. 2, pp. 1401–1407, Apr.
1989.
[8] S. K. Goswami and S. K. Basu, “A new algorithm
for the reconfiguration of distribution feeders for
loss minimization,” IEEE Trans. Power Del., vol.
7, no. 3, pp. 1484–1491, Jul. 1992.
[9] Pavani, P.; Singh, S.N. Reconfiguration of radial
distribution networks with distributed generation
for reliability improvement and loss
minimization. In Proceedings of the IEEE Power
and Energy Society General Meeting (PES GM),
Vancouver, BC, Canada, 21–25 July 2013.
[10] Prasad, K.; Ranjan, R,Sahoo, N.C, Chaturvedi,
A,” Optimal reconfiguration of radial distribution
Systems using a fuzzy mutated genetic
Algorithm”,IEEE Trans. Power Deliv.
pp. 1211– 1213, 2005.
[11] T. Dheepak, S. Neduncheliyan, “ Low
Power Distributed MAC Protocol Against
Various Kinds Of Attacks By Using Traffic
Analysis Methodology” , IJSRCSE,pp.1-7,
Jun- 2018.
[12] Rikam Palkar, Swati Chopade,” An
Implementation of an Vulnerability
Management in Complex Networks and
Defining Severity”, IJSRCSE,pp.35-38,
Jun-2018.
[13] Rucha Pawar, Vailshali Munguwadi, Pranav
Lapsiwala,” Wireless Mesh Network Link
Failure Issues and Challenges: A Survey”,
IJSRNSC, pp. 28-36, Jun-2018.
[14] Amr M. Kishk.et.al.,” Proposed Jamming
Removal Technique for Wireless Sensor
Network”,OJSRNSC,pp.1-14, Mar-2015.