Genetic evolving ant direction particle swarm optimization algorithm for optimal power flow with non-smooth cost functions and statistical analysis

Applied Soft Computing Journal

Volumn 13, Issue 12, 2013, Pages 4579-4593

  Vaisakh, K ^a   Srinivas, L R ^b   Meah, Kala ^c  

^a ANDHRA UNIVERSITY   (India)

^b GUDLAVALLERU ENGINEERING COLLEGE   (India)

^c YORK COLLEGE OF PENNSYLVANIA   (United States)

Author keywords

Evolving ant direction particle swarm optimization (EADPSO); Genetic algorithm; Non smooth cost functions; Optimal power flow (OPF); Statistical analysis; Velocity updating operator

Indexed keywords

CENTRAL TENDENCY MEASURES; EVOLVING ANT DIRECTION PARTICLE SWARM OPTIMIZATION (EADPSO); GENETIC ALGORITHM APPROACH; NON-SMOOTH COST FUNCTIONS; OPTIMAL POWER FLOW PROBLEM; OPTIMAL POWER FLOWS; PARTICLE SWARM OPTIMIZATION ALGORITHM; UPDATING OPERATORS;

ACOUSTIC GENERATORS; COST FUNCTIONS; ELECTRIC LOAD FLOW; GENETIC ALGORITHMS; NEWTON-RAPHSON METHOD; STATISTICAL METHODS; VELOCITY;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84886719084     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2013.07.002     Document Type: Article

References (40)

1. J.A. Momoh, M.E. El-Hawary, and R. Adapa A review of selected optimal power flow literature to 1993. I. Nonlinear and quadratic programming approaches IEEE Transactions on Power Systems 14 1 1999 96 104
2. J.A. Momoh, M.E. El-Hawary, and R. Adapa A review of selected optimal power flow literature to 1993. II. Newton, linear programming and interior point methods IEEE Transactions on Power Systems 14 1 1999 105 111
3. K. Aoki, A. Nishikori, and R.T. Yokoyama Constrained load flow using recursive quadratic programming IEEE Transactions on Power Systems 2 1 1987 8 16 (Pubitemid 17549363)
4. H. Habiabollahzadeh, G.-X. Luo, and A. Semlyen Hydrothermal optimal power flow based on combined linear and nonlinear programming methodology IEEE Transactions on Power Apparatus and Systems PWRS-4 2 1989 530 537 (Pubitemid 20604005)
5. J.A. Momoh, and J.Z. Zhu Improved interior point method for OPF problems IEEE Transactions on Power Systems 14 3 1999 1114 1120
6. A. Santos, and G.R. da Costa Optimal power flow solution by Newton's method applied to an augmented Lagrangian function IEE Proceedings - Generation Transmission and Distribution 142 1 1995 33 36
7. M. Rahil, and P. Pirotte Optimal load flow using sequential unconstrained minimization technique (SUMT) method under power transmission losses minimization Electric Power Systems Research 52 1999 61 64 (Pubitemid 30504622)
8. S. Sayah, and K. Zehar Modified differential evolution algorithm for optimal power flow with non-smooth cost functions Energy Conversion and Management 49 2008 3036 3042
9. J. Yuryevich, and K.P. Wong Evolutionary programming based optimal power flow algorithm IEEE Transactions on Power Systems 14 4 1999 1245 1250 (Pubitemid 32082778)
10. M.A. Abido Optimal power flow using particle swarm optimization International Journal of Electrical Power & Energy Systems 24 7 2002 563 571 (Pubitemid 34532350)
11. M.A. Abido Optimal power flow using tabu search algorithm Electric Power Components and Systems 30 5 2002 469 483 (Pubitemid 34566882)
12. C.A. Roa-Sepulveda, and B.J. Pavez-Lazo A solution to the optimal power flow using simulated annealing Electrical Power Energy Systems 25 1 2003 47 57
13. L.L. Lai, and J.T. Ma Improved genetic algorithms for optimal power flow under both normal and contingent operation states International Journal of Electrical Power & Energy Systems 19 5 1997 287 292 (Pubitemid 127412160)
14. L. Wang, D.Z. Zheng, and F. Tang An improved evolutionary programming for optimization Proc. of the Fourth World Congress on Intelligent Control and Automation Shanghai, PR China 2002 1769 1773
15. W.M. Lin, F.S. Cheng, and M.T. Tsay An improved tabu search for economic dispatch with multiple minima IEEE Transactions on Power Systems 17 1 2002 112 851
16. W. Ongsakul, and P. Bhasaputra Optimal power flow with FACTS devices by hybrid TS/SA approach International Journal of Electrical Power & Energy Systems 24 10 2002 851 857 (Pubitemid 35460251)
17. J. Kennedy, and R. Eberhart Particle swarm optimization Proceedings of IEEE International Conference on Neural Networks 1995 1942 1948
18. M.A. Abido Particle swarm optimization for multimachine power system stabilizer design IEEE Power Engineering Society General Meeting 3 2001 1346 1351
19. Z.L. Gaing Constrained dynamic economic dispatch solution using particle swarm optimization IEEE Power Engineering Society General Meeting 1 2004 153 158
20. G. Coath, M. Al-Dabbagh, and S.K. Halgamuge Particle swarm optimization for reactive power and voltage control with grid-integrated wind farms IEEE Power Engineering Society General Meeting 1 2004 303 308 (Pubitemid 40192012)
21. A. Colorni, M. Dorigo, and V. Maniezzo An investigation of some properties of an ant algorithm Proc. 2nd Conf. Parallel Problem Solving from Nature Amsterdam, The Netherlands 1992 509 520
22. M. Dorigo, and L.M. Gambardella Ant colonies for the traveling salesman problem Biosystems 43 2 1997 73 81 Elsevier (Pubitemid 27332279)
23. N.S. Sisworahardio, and A.A. El-Keib Unit commitment using the ant colony search algorithm Proc. Power Engineering Large Engineering Systems Conf./LESCOPE 2002 2 6
24. S.J. Huang Enhancement of hydroelectric generation scheduling using ant colony system based optimization approaches IEEE Transactions on Energy Conversion 16 2001 296 301
25. I.K. Yu, C.S. Chou, and Y.H. Song Application of the ant colony search algorithm to short-term generation scheduling problem of thermal units Proc. Power System Technology Int. Conf./POWERCON 1 1998 552 556
26. P. Kessel, and H. Glavitch Estimating the voltage stability of a power system IEEE Transactions on Power Delivery PWRD 1 3 1986 346 354
27. H.M. Botee, and E. Bonabeau Evolving ant colony optimization Advances in Complex Systems 1 1998 149 159
28. S.-K. Wang, and C.-w. Liu Ant direction hybrid differential evolution for solving economic dispatch of power system IEEE Int. Conf. on Systems, Man, and Cybernetics Taipei, Taiwan 2006 8 11
29. S. Das, A. Abraham, and A. Konar Particle swarm optimization and differential evolution algorithms: technical analysis Applications and Hybridization Perspectives 2008
30. J. Chuanwen, and E. Bompard A self-adaptive chaotic particle swarm algorithm for short term hydroelectric system scheduling in deregulated environment Energy Conversion and Management 46 2005 2689 2696
31. T.-Y. Lee, and C.-L. Chen Iteration particle swarm optimization for contract capacities selection of time-of-use rates industrial customers Energy Conversion and Management 48 2007 1120 1131 (Pubitemid 46283127)
32. T.-Y. Lee, and C.-L. Chen Unit commitment with probabilistic reserve: an IPSO approach Energy Conversion and Management 48 2007 1120 1131
33. T. Peram, K. Veeramachaneni, and C.K. Mohan Fitness distance ratio based particle swarm optimization Proceedings of the IEEE Swarm Intelligence Symposium 24-26 2003 174 181
34. M. Anitha, S. Subramanian, and R. Gnanadass FDR PSO based transient stability constrained optimal power flow solution for deregulated power industry Electric Power Components and Systems 35 2007 1219 1232 (Pubitemid 47301463)
35. S.C. Gupta, and V.K. Kapoor Fundamental of Mathematical Statistics 9th ed. 1996 S. Chand & Sons New Delhi, India
36. O. Alsac, and B. Stott Optimal load flow with steady state security IEEE PES Summer Meeting and EHV/UHV Conference Vancouver, Canada, T73 484-3 1973 745 751
37. W. Ongsakul, and T. Tantimaporn Optimal power flow by improved evolutionary programming Electric Power Components and Systems 34 2006 79 95 (Pubitemid 43148738)
38. IEEE Committee report the Economic Operation of Power Systems IEEE Transactions on Power Apparatus and Systems PAS-90 4 1971 1768 1775
39. C. Thitithamrongchai, and B. Eua-arporn Self-adapative differential evolution based optimal power flow for units with non-smooth fuel cost functions Journal of Electrical Systems 3-2 2007 88 99
40. MATPOWER (http://www.ee.washington.edu/research/pstca).