Application of particle swarm optimization to optimal power systems

International Journal of Innovative Computing, Information and Control

Volumn 8, Issue 3 A, 2012, Pages 1705-1716

  Esmin, Ahmed A A ^a   Lambert Torres, Germano ^b  

^a FEDERAL UNIVERSITY OF LAVRAS   (Brazil)

^b Department of Electrical Engineering Federal   (Brazil)

Author keywords

Evolutionary algorithm; Loss power minimization; Optimal power ow; PSO

Indexed keywords

CONTROL VARIABLE; EVOLUTION ALGORITHMS; LOSS MINIMIZATION; LOSS POWER MINIMIZATION; NON-LINEAR OPTIMIZATION PROBLEMS; OPTIMAL DISTRIBUTIONS; OPTIMAL POWER; OPTIMAL SETTING; OPTIMIZATION PROBLEMS; PARTICLE SWARM OPTIMIZATION ALGORITHM; POWER-LOSSES; PSO; PSO ALGORITHMS; REAL POWER LOSS; TEST SYSTEMS; TRANSMISSION SYSTEMS;

ALGORITHMS; ELECTRIC POWER TRANSMISSION; EVOLUTIONARY ALGORITHMS; PARTICLE SWARM OPTIMIZATION (PSO); REAL VARIABLES;

PROBLEM SOLVING;

EID: 84857537969     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (20)

1. N. Deeb and S. M. Shahidepour, Linear reactive power optimization in a large power network using the decomposition approach, IEEE Trans. Power Syst., vol.5, no.2, pp.428-435, 1990.
2. S. Granville, Optimal reactive dispatch through interior point methods, IEEE Trans. Power Syst., vol.9, no.1, pp.136-146. 1994.
3. J. A. Momoh, S. X. Guo, E. C. Ogbuobiri and R. Adapa, The quadratic interior point method solving power system optimization problems, IEEE Trans. Power Syst., vol.9, no.3, pp.1327-1336, 1994.
4. A. M. Chebbo and M. R. Irving, Combined active and reactive despatch - Part 1: Problem formulation and solution algorithm, IEE Proc. Gener. Transm. Distrib., vol.142, no.4, pp.393-400, 1995.
5. A. C. Zambroni de Souza, Tangent vector applied to voltage collapse and loss sensitivity studies, Electric Power Systems Research, vol.47, no.1, pp.65-70, 1998.
6. S. Kaitwanidvilai, P. Olarnthichachart and I. Ngamroo, PSO based automatic weight selection and fixed-structure robust loop shaping control for power system control applications, International Journal of Innovative Computing, Information and Control, vol.7, no.4, pp.1549-1563, 2011.
7. K. Y. Lee, X. Bai and Y. M. Park, Optimization method for reactive power planning by using a modified simple genetic algorithm, IEEE Trans. Power Syst., vol.10, no.4, pp.1843-1850, 1995.
8. A. A. A. Esmin, G. Lambert-Torres and A. C. Zambroni de Souza, A hybrid particle swarm optimization applied to loss power minimization, IEEE Trans. Power Syst., vol.20, no.2, pp.859-866, 2005.
9. M. A. Abido, Optimal power ow using particle swarm optimization, Electrical Power & Energy Systems, no.24, pp.563-571, 2002.
10. J. Kennedy, The particle swarm: Social adaptation of knowledge, Proc. of 1997 IEEE International Evolutionary Computation ICEC'97, Indianapolis, USA, pp.303-308, 1997.
11. P. Angeline, Evolutionary optimization versus particle swarm optimization philosophy and performance differences, Proc. of the 7th Annual Conference on Evolutionary Programming, pp.601-610, 1998.
12. Y. Shi and R. Eberhart, Parameter selection in particle swarm optimization, Proc. of the 7th Annual Conference on Evolutionary Programming, pp.591-600, 1998.
13. J. Kennedy, Small worlds and mega-minds: Effects of neighborhood topology on particle swarm performance, Proc. of the 1999 Congress of Evolutionary Computation, vol.3, pp.1931-1938, 1999.
14. A. C. Zambroni de Souza, C. A. Cañizares and V. H. Quintana, New techniques to speed up voltage collapse computations using tangent vectors, IEEE Trans. Power Syst., vol.12, pp.1380-1387, 1997.
15. A. C. Zambroni de Souza, L. M. Honório, G. L. Torres and G. Lambert-Torres, Increasing the loadability of power systems through optimal-local-control actions, IEEE Trans. Power Syst., vol.19, no.1, pp.188-194, 2004.
16. H. Yoshida, Y. Fukuyama, K. Kawata, S. Takayama and Y. Nakanishi, A particle swarm optimization for reactive power and voltage control considering voltage security assessment, IEEE Trans. Power Syst., vol.15, no.4, pp.1232-1239, 2001.
17. Q. H. Wu, Y. J. Cao and J. Y. Wen, Optimal reactive power dispatch using an adaptive genetic algorithm, Electr. Power Energy Syst., vol.20, no.8, pp.563-569, 1998.
18. Power System Test Case Archive, http://www.ee.washington.edu/research/pstca/pf118/pg tca118bus.htm, 2006.
19. Matlab Optimization Toolbox 2, User's Guide, 1999.
20. Z. Cui, J. Zeng and G. Sun, A fast particle swarm optimization, International Journal of Innovative Computing, Information and Control, vol.2, no.6, pp.1365-1380, 2006.