We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Reseach Article

Optimal Planning for Distribution Network using GA

by B Anil Kumar, Lobzang Phunchok, Y.r.sood
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 46 - Number 12
Year of Publication: 2012
Authors: B Anil Kumar, Lobzang Phunchok, Y.r.sood
10.5120/6965-9609

B Anil Kumar, Lobzang Phunchok, Y.r.sood . Optimal Planning for Distribution Network using GA. International Journal of Computer Applications. 46, 12 ( May 2012), 51-56. DOI=10.5120/6965-9609

@article{ 10.5120/6965-9609,
author = { B Anil Kumar, Lobzang Phunchok, Y.r.sood },
title = { Optimal Planning for Distribution Network using GA },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 46 },
number = { 12 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 51-56 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume46/number12/6965-9609/ },
doi = { 10.5120/6965-9609 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:40:44.435723+05:30
%A B Anil Kumar
%A Lobzang Phunchok
%A Y.r.sood
%T Optimal Planning for Distribution Network using GA
%J International Journal of Computer Applications
%@ 0975-8887
%V 46
%N 12
%P 51-56
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents an approach for optimal routing of distribution network including sitting of substation. The problem of distribution system planning (DSP) is a large scale, very complex and difficult to define problem. This paper presents the application of an efficient Genetic Algorithm (GA) for the optimal design of large distribution system, solving the optimal feeder routing and locating of substation. GA was used to solve the optimization of DSP problem which includes the discrete nature of substation installation and feeder routing. Several searching procedure including coding and encoding the chromosome, fitness evaluated, reproduction, crossover, and mutation are examined in details. The concept of minimum spanning is implemented on a simple virgin land with 9 node and its demerits are overcome by proposed method of GA. All the final result of DSP is obtain by GA. In this paper a simple example of virgin land is solved by minimum spanning tree and demerits are overcome with GA and results are obtained by GA.

References
  1. Gonen, T. , and B. L. Foote, 'Distribution-System Planning Using Mixed-Integer Programming',Proceeding IEE, vo1. 128, Pt. C, no. 2, pp. 70-79, March 1981.
  2. R. N. Adams and M. A. Laughton, 'Optimal planning of power networks using mixed-integer programming Part I static and time-phased network synthesis', Proc. IEE, v01. 121(2), pp. 139-147, February 1974.
  3. G. L. Thompson, D. L. Wal1, 'A Branch and Bound model for Choosing Optimal Substation Locations', IEEE Trans. PAS, pp 2683-2688, May 1981.
  4. R. N. Adams and M. A. Laughton, 'A dynamic programming network flow procedure for distribution system planning', Presented at the IEEE Power Industry Computer Applications Conference(PICA), June 1973.
  5. Brauner, G. and Zobel, M. 'Knowledge Based Planning of Distribution Networks', IEEE Trans Power Delivery, vo1. 5, no. 3, pp. 1514-1519, 1990.
  6. Chen, J. and Hsu, Y. 'An Expert System for Load Allocation in Distribution Expansion Planning', IEEE Trans Power Delivery, vo1. 4, no. 3, pp 1910-1917,1989.
  7. S. K. Goswami, 'Distribution System Planning Using Branch Exchange Technique', IEEE Trans. On PowerSystem, v01. 12, no. 2, pp. 718-723, May 1997.
  8. S. Kato, T. Naito, H. Kohno, H. Kanawa, and T. Shoji, "Computer-based distribution automation", IEEE Trans. PWRD, Vol. 1, NO. 1, pp. 265-271, 1986.
  9. K. P. Wong and H. N. Cheung, "Artificial intelligence approach to load allocation in, distribution substations", Proc. IEE, Part C, Vol. 134, NO. 5, pp. 357-364, 1987.
  10. K. K. Li, G. J. Chen, T. S. Chung and G. Q. Tang, "Distribution Planning Using a Rule-Based Expert System Approach", IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies (DRPT2004) April 2004.
  11. S. N. Talukdar, E. Cardozo, and T. Perry, "The operator's assistant-an intelligent, expandable program for power system trouble analysis", IEEE Trans. , PWRS, Vol. 1, No. 3, pp. 182- 187, 1986.
  12. D. E. Goldberg, Genetic Algorithm in Search, Optimization and Machine Learning, Addison Wesley, 1989.
  13. D. E. Goldberg, "Genetic Algorithm in search, optimization and Machine learning", Addison-Wesley, 1989.
  14. Mr. s. k. singh, Mr. kh. c. singh, Mr. l. phunchok, and prof. y. r. sood "Genetic algorithm a Nobel approach for economic load dispatch" International journal of engineering research and application 2012
  15. Ponnavaikko, M. , PrakasaRao, K. S. P. , and Venkata, S. S. , " Distribution System Planning Through a Quadratic Mixed Integer Programming Approach, IEEE Transactions on Power Delivery, Vol. PWRD-2, No. 4,0ct. 1987, pp, 1157-1163.
Index Terms

Computer Science
Information Sciences

Keywords

Distribution Planning Genetic Algorithm Minimum Spanning Tree