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

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

A Two Stage Methodology for Siting and Sizing of DG for Minimum Loss in Radial Distribution System using RCGA

by Dr.M.Padma Lalitha, Dr.V.C. Veera Reddy, N.Sivarami Reddy, V.Usha Redddy
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 25 - Number 2
Year of Publication: 2011
Authors: Dr.M.Padma Lalitha, Dr.V.C. Veera Reddy, N.Sivarami Reddy, V.Usha Redddy
10.5120/3005-4048

Dr.M.Padma Lalitha, Dr.V.C. Veera Reddy, N.Sivarami Reddy, V.Usha Redddy . A Two Stage Methodology for Siting and Sizing of DG for Minimum Loss in Radial Distribution System using RCGA. International Journal of Computer Applications. 25, 2 ( July 2011), 10-16. DOI=10.5120/3005-4048

@article{ 10.5120/3005-4048,
author = { Dr.M.Padma Lalitha, Dr.V.C. Veera Reddy, N.Sivarami Reddy, V.Usha Redddy },
title = { A Two Stage Methodology for Siting and Sizing of DG for Minimum Loss in Radial Distribution System using RCGA },
journal = { International Journal of Computer Applications },
issue_date = { July 2011 },
volume = { 25 },
number = { 2 },
month = { July },
year = { 2011 },
issn = { 0975-8887 },
pages = { 10-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume25/number2/3005-4048/ },
doi = { 10.5120/3005-4048 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:10:42.895278+05:30
%A Dr.M.Padma Lalitha
%A Dr.V.C. Veera Reddy
%A N.Sivarami Reddy
%A V.Usha Redddy
%T A Two Stage Methodology for Siting and Sizing of DG for Minimum Loss in Radial Distribution System using RCGA
%J International Journal of Computer Applications
%@ 0975-8887
%V 25
%N 2
%P 10-16
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents a new methodology using Real Coded Genetic Algorithm (RCGA) for the placement of Distributed Generators(DG) in the radial distribution systems to reduce the real power losses and to improve the voltage profile. A two-stage methodology is used for the optimal DG placement . In the first stage, single DG placement algorithm is used to find the optimal DG locations and in the second stage, Real Coded Genetic Algorithm is used to find the size of the DGs corresponding to maximum loss reduction. The proposed method is tested on standard IEEE 33 bus test system and the results are presented.

References
  1. G. Celli and F. Pilo, “Optimal distributed generation allocation in MV distribution networks”, Power Industry Computer Applications, 2001. Pica 2001. Innovative Computing For Power - Electric Energy Meets The Market. 22nd IEEE Power Engineering Society International Conference, May 2001, pp. 81-86.
  2. P.A. Daly, J. Morrison, “Understanding the potential benefits of distributed generation on power delivery systems,” Rural Electric Power Conference, May 2001, pp. A211 –213.
  3. P. Chiradeja, R. Ramakumar, “An approach to quantify the technical benefits of distributed generation” IEEE Trans Energy Conversion, vol. 19, no. 4, pp. 764-773, 2004.
  4. “Kyoto Protocol to the United Nations Framework Convention on climate change”. http://unfccc.int/resource/docs/convkp/kpeng.html
  5. R.E. Brown, J. Pan, X. Feng, and K. Koutlev, “Siting distributed generation to defer T&D expansion,” Proc. IEE. Gen, Trans and Dist, vol. 12, pp. 1151- 1159, 1997.
  6. E. Diaz-Dorado, J. Cidras, E. Miguez, “Application of evolutionary algorithms for the planning of urban distribution networks of medium voltage”, IEEE Trans. Power Systems , vol. 17, no. 3, pp. 879-884, Aug 2002.
  7. M. Mardaneh, G. B. Gharehpetian, “Siting and sizing of DG units using GA and OPF based technique,” TENCON. IEEE Region 10 Conference, vol. 3, pp. 331-334, 21-24, Nov.2004.
  8. Silvestri A.Berizzi, S. Buonanno, “Distributed generation planning using genetic algorithms” Electric Power Engineering, Power Tech Budapest 99, Inter. Conference, pp.257, 1999.
  9. Naresh Acharya, Pukar Mahat, N. Mithulanathan, “An analytical approach for DG allocation in primary distribution network”, Electric Power and Energy Systems, vol. 28, pp. 669-678, 2006
  10. G.Celli,E.Ghaini,S.Mocci and F.Pilo, “A multi objective evolutionary algorithm for the sizing and sitting of distributed generation”,IEEE Transactions on power systems,vol.20,no.2,pp.750-757,May 2005.
  11. G.Carpinelli,G.Celli, S.Mocci and F.Pilo,”Optimization of embedded sizing and sitting by using a double trade-off method”, IEE proceeding on generation, transmission and distribution, vol.152,no.4, pp.503-513, 2005.
  12. C.L.T.Borges and D.M.Falcao, “Optimal distributed generation allocation for reliability,losses and voltage improvement”, International journal of power and energy systems,vol.28.no.6,pp.413-420,July 2006.
  13. M. E. Baran and F. F. Wu, “ Network reconfiguration in distribution systems for loss reduction and load balancing”, IEEE Transactions on Power Delivery, Vol. 4, No 2 Apr 1989, pp. 1401-1407,.
  14. M.Padma Lalitha,V.C.Veera Reddy, N.Usha “Optimal DG placement for maximum loss reduction in radial distribution system” International journal of emerging technologies and applications in engineering, technology and sciences,July 2009.
  15. M.Padma Lalitha,V.C.Veera Reddy, N.Usha “DG placement using Fuzzy for maximum loss reduction in radial distribution system” International journal of computers applications in engineering, technology and sciences, vol1.pp 50-56,Oct2009,
Index Terms

Computer Science
Information Sciences

Keywords

DG placement Real Coded Genetic Algorithm loss reduction radial distribution system

Powered by PhDFocusTM