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

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Power System Restoration using Particle Swarm Optimization

by Alka Singh, K.K.Swarnkar
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 30 - Number 2
Year of Publication: 2011
Authors: Alka Singh, K.K.Swarnkar
10.5120/3614-5031

Alka Singh, K.K.Swarnkar . Power System Restoration using Particle Swarm Optimization. International Journal of Computer Applications. 30, 2 ( September 2011), 25-32. DOI=10.5120/3614-5031

@article{ 10.5120/3614-5031,
author = { Alka Singh, K.K.Swarnkar },
title = { Power System Restoration using Particle Swarm Optimization },
journal = { International Journal of Computer Applications },
issue_date = { September 2011 },
volume = { 30 },
number = { 2 },
month = { September },
year = { 2011 },
issn = { 0975-8887 },
pages = { 25-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume30/number2/3614-5031/ },
doi = { 10.5120/3614-5031 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:15:54.359926+05:30
%A Alka Singh
%A K.K.Swarnkar
%T Power System Restoration using Particle Swarm Optimization
%J International Journal of Computer Applications
%@ 0975-8887
%V 30
%N 2
%P 25-32
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents an efficient and reliable Particle Swarm Optimization (PSO) algorithm for solving Power System Restoration (PSR). The main objective is that after an incident due to electrical failure, power system restoration becomes a complex process involving decision-making problems of combinatory nature that can be formulated as a multi-stage, non-linear, continuous and binary constrained optimization problem. PSO is a novel optimization method developed by Kennedy & Eberhart. This paper presents an application of the PSO algorithm to Power System Restoration for 9 Bus systems are given to demonstrate that the algorithm can be used in actual, large scale urban distribution system applications. It is found that the Power System Restoration of distribution system can be obtained very efficiently by applying the PSO.

References
  1. T.Nagata and H.Sasaki “A Multi-Agent System for Power System Restoratiom” 2001 IEEE.
  2. S. Curcic, C.S. Ozveren, L. Crowe and P.K.L. Lo, “Electric power distribution network restoration : A survey of papers and a review of the restoration problem”, Electric Power Systems Research, Vol. 35, 1996 pp 73-86.
  3. S.A. Nezam sarmadi, A.S.Dobakhshari, S.Azizi, and A.M. Ranjbar,” A Sectionalizing Method in Power system Restoration Based on WAMS”,IEEE Trans. on smart grid,Vol.2, No.1, march 2011.
  4. Chen-Ching Liu, Seung Jae Lee, S.S. Venkata, “An Expert System Operation Aid for Restoration and Loss Reduction of Distribution Systems”, IEEE Trans. on Power Systems, Vol.3, No. 2, May 1988, pp 619-626.
  5. Tim Taylor, David Lubkeman, “Implementation of Heuristic Search Strategies for Distribution Feeder Reconfiguration”, IEEE Trans. On Power Delivery, Vol. 5 , No.1, Jan 1990, pp 239-246.
  6. S. Curcic, C.S. Ozveren, K.L. Lo, “Computer-based Strategy for the Restoration Problem in Electric Power Distribution Systems”, IEE Proc. on Generation, Transmission and Distribution, Vol. 144, No. 5, Sept 1997, pp 389-398
  7. Karen Nan Miu, Hsiao-Dong Chiang, Bentao Yuan, Gary Darling, “Fast Service Restoration for Large-scale Distribution Systems with Priority Customers and Constraints”, Proceedings of the 20th International conference ofpower Industry Applications, 1997, pp 3-9.
  8. Qin Zhou, Dariush Shirmohammadi W. -H. Edwin Liu, “Distribution Feeder Reconfiguration for Service Restoration and Load Balancing”, IEEE Trans. on Power Systems, Vol. 12, No.2, May 1997, pp 724-729.
  9. A.M. Stankovic, M.S. Calovic, “Graph-Oriented Algorithm for the Steady State Security Enhancement in Distribution Networks”, IEEE Trans. On Power Delivery, Vol. 4, No. 1, Jan 1989, pp 539-544.
  10. E.N. Dialynas, D.G. Michos, “Interactive Modelling of Supply Restoration Procedures in Distribution System Operation”, IEEE Trans. on Power Delivery, Vol. 4, No. 3, July 1989, pp 1847-1854.
  11. R. Jayanthi, I. A. Chidambaram, C. Banusri,” Decentralized controller gain scheduling using PSO for power system restoration assessment in a two-area interconnected power system”, International Journal of Engineering, Science and Technology Vol. 3, No. 4, 2011, pp. 14-26.
  12. N.D.R. Sarma, V.C.Prasad, K.S. Prakasa Rao, V. Sankar, “A New Network Reconfiguration Technique for Service Restoration in Distribution Networks”, IEEE Trans. on Power Delivery, Vol. 9, No. 4, Oct 1994.
  13. Karen L Butler, NDR Sarma, Cliff Whitecomb, Hyder Do Carmo and Haibo Zhang, “Shipboard Systems Deploy Automated Protection”, IEEE Computer Applications in Power, Vol 1 1 , No. 2, 1998, pp 31-36.
  14. G.Lambert-Torres, H.G.Martins,M.P. Coutinho, C.P. Salomon, F.M.Matsunaga, and R.A.Carminati,”Comparison between PSO and GA in System Restoration Solution”,IEEE Trans. 2009.
  15. G.Lambert-Torres, H.G.Martins,M.P. Coutinho, C.P. Salomon and F.C. Vieira,”Particle Swarm Optimization Applied to System Restoration”, IEEE Trans.Bucharest Power Tech Conference,2009.
  16. J.Kennedy, R.Eberhart, “Swarm Intelligence”, Morgan Kaufmann Publishers, 2001.
  17. B.Zhao, C.X.Guo, and Y.J.Cao, “A Multiagent – Based Particle Swarm Optimization Approach for Optimal Reactive Power Dispatch”, Vol.20, No.2, May 2005.
Index Terms

Computer Science
Information Sciences

Keywords

Artificial Intelligence Distribution System Particle Swarm Optimization Power System Restoration

Powered by PhDFocusTM