Open Access   Article Go Back

Optimal Capacitor Placement using Fruit Fly Optimization

Deepjyoti Talukdar1 , Pranobjyoti Lahon2 , Ashim Jyoti Gogoi3

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-5 , Page no. 192-198, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i5.192198

Online published on May 31, 2019

Copyright © Deepjyoti Talukdar, Pranobjyoti Lahon, Ashim Jyoti Gogoi . 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

How to Cite this Paper

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

IEEE Style Citation: Deepjyoti Talukdar, Pranobjyoti Lahon, Ashim Jyoti Gogoi, “Optimal Capacitor Placement using Fruit Fly Optimization,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.5, pp.192-198, 2019.

MLA Style Citation: Deepjyoti Talukdar, Pranobjyoti Lahon, Ashim Jyoti Gogoi "Optimal Capacitor Placement using Fruit Fly Optimization." International Journal of Computer Sciences and Engineering 7.5 (2019): 192-198.

APA Style Citation: Deepjyoti Talukdar, Pranobjyoti Lahon, Ashim Jyoti Gogoi, (2019). Optimal Capacitor Placement using Fruit Fly Optimization. International Journal of Computer Sciences and Engineering, 7(5), 192-198.

BibTex Style Citation:
@article{Talukdar_2019,
author = {Deepjyoti Talukdar, Pranobjyoti Lahon, Ashim Jyoti Gogoi},
title = {Optimal Capacitor Placement using Fruit Fly Optimization},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {7},
Issue = {5},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {192-198},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4221},
doi = {https://doi.org/10.26438/ijcse/v7i5.192198}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.192198}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4221
TI - Optimal Capacitor Placement using Fruit Fly Optimization
T2 - International Journal of Computer Sciences and Engineering
AU - Deepjyoti Talukdar, Pranobjyoti Lahon, Ashim Jyoti Gogoi
PY - 2019
DA - 2019/05/31
PB - IJCSE, Indore, INDIA
SP - 192-198
IS - 5
VL - 7
SN - 2347-2693
ER -

VIEWS PDF XML
426 244 downloads 163 downloads
  
  
           

Abstract

Installation of capacitors in primary and secondary networks of distribution systems is one of the efficient methods for power loss reduction and voltage profile improvement. The loss of energy mainly incurred in the distribution network. The objective is to minimize the cost function along with power loss reduction and voltage profile improvement. Now a day this multi-objective problem creates a lot of concentration of the researcher. In this paper, a study based on two-stage procedure is presented. In the first stage, the optimum bus location is done by using a sensitivity index and voltage norm. In the second stage, Fruit Fly algorithm is used to optimize the size of the capacitor as well as bus location, a comparative study is made between Particle swarm optimization (PSO) and Fruit Fly optimization for solving the optimal capacitor problem. The Fruit Fly gives a better result in comparison with PSO for this optimization problem in terms of power loss and cost.

Key-Words / Index Term

Backward sweep forward sweep, Radial distribution, Loss sensitivity Index, Voltage norm, Fruit Fly Optimization

References

[1] Adel Ali Abou El- Ela, Ragab A.El-Sehiemy, Abdel-Mohsen Kinawy, Mohamed Taha Mouwafi “Optimal capacitor placement in distribution systems for power loss reduction and voltage profile improvement”, IET Generation, Transmission & Distribution, vol. 10, no. 5, pp. 1209-1221, 2016.
[2] K. Prakash, M. Sydulu, “Particle swarm optimization based capacitor placement on radial distribution system”, in Proceedings of IEEE power engineering society general meeting, pp. 1-5, 2007.
[3] Srinivasan Sundararajan, Anil Pahwa “Optimal selection of capacitors for radial distribution systems using a genetic algorithm”, IEEE Transactions on Power Systems, vol. 9, no. 3, August 1994.
[4] K.R. Devabalaji, K. Ravi a, D.P. Kothari, “Optimal location and sizing of capacitor placement in radial distribution system using Bacterial Foraging Optimization Algorithm”, Electrical Power and Energy Systems, vol. 71, pp. 383-390, 2015.
[5] M. D. Reddy, V.C.V Reddy, “Optimal capacitor placement using a fuzzy and real-coded genetic algorithm for maximum savings”, Journal of Theoretical and Applied Information Technology, vol. 4, no. 3, 2008.
[6] El-Fergany, A. Attia, Almoataz Y. Abdelaziz, “Capacitor allocations in radial distribution networks using cuckoo search algorithm”, IET Generation, Transmission & Distribution, vol. 8, no. 2, pp. 223-232, 2014.
[7] A.Y. Abde-laziz , E.S. Ali, S.M. Abd Elazim, “Flower Pollination Algorithm and Loss Sensitivity Factors for optimal sizing and placement of capacitors in radial distribution systems”, Electrical Power and Energy Systems, vol. 78, 207-214, 2016.
[8] V.V.K. Reddy, M. Sydulu, “Index and GA based optimal location and sizing of distribution system capacitors”, IEEE Power Engineering Society General Meeting, pp. 1-4, 2007.
[9] Elsheikh Ahmed, Yahya Helmy, Yasmine Abouelseoud, Ahmed Elsherif, “Optimal capacitor placement and sizing in radial electric power systems”, Alexandria Engineering Journal, vol. 53, no. 4, pp 809-816, 2014.
[10] D. Das, D. P. Kothari, A. Kalam. “Simple and efficient method for load flow solution of radial distribution networks”, International Journal of Electrical Power & Energy Systems, vol. 17, no. 5, pp. 335-346, 1995.
[11] M. Gogoi, Ashim Jyoti Gogoi, S. A. Begum, “Optimizing error function of backpropagation neural network”, International Journal of Computer Science and Engineering, vol. 7, no. 4, 2019.
[12] Wen-Tsao Pan, "A new fruitfly optimization algorithm: taking the financial distress model as an example", Knowledge-Based systems vol. 26, pp. 69-74, February 2012.