Efficient constraint handling for optimal reactive power dispatch problems

Swarm and Evolutionary Computation

Volumn 5, Issue , 2012, Pages 28-36

  Mallipeddi, R ^a   Jeyadevi, S ^b   Suganthan, P N ^a   Baskar, S ^c  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b KAMARAJ COLLEGE OF ENGINEERING AND TECHNOLOGY   (India)

^c THIAGARAJAR COLLEGE OF ENGINEERING   (India)

Author keywords

Constraint handling; Differential evolution; Ensemble; Optimal reactive power dispatch

Indexed keywords

CONSTRAINT HANDLING; CONSTRAINT-HANDLING TECHNIQUES; DIFFERENTIAL EVOLUTION; DISCRETE VALUES; ENSEMBLE; EVOLUTION STRATEGIES; EVOLUTIONARY ALGORITHMS (EAS); FEASIBLE SOLUTION; GRADIENT-BASED METHOD; INEQUALITY CONSTRAINT; OPTIMAL REACTIVE POWER DISPATCH; PENALTY FUNCTION APPROACH; POWER ENGINEERING; POWER-LOSSES; SELF-ADAPTIVE; STOCHASTIC RANKING; VOLTAGE DEVIATIONS;

COMPUTER PROGRAMMING; CONSTRAINT THEORY; OPTIMIZATION; REACTIVE POWER;

EVOLUTIONARY ALGORITHMS;

EID: 84861528628     PISSN: 22106502     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.swevo.2012.03.001     Document Type: Article

References (42)

1. M. Varadarajan, and K.S. Swarup Volt-var optimization using differential evolution Electric Power Components and Systems 36 2008 387 408 (Pubitemid 351456695)
2. H.W. Dommel, and W.F. Tinney Optimal power flow solutions IEEE Transactions on Power Apparatus and Systems 87 1968 1866 1876
3. M.R. Bjelogrlic, M.S. Calovic, B.S. Babic, and P. Ristanovic Application of Newton's optimal power flow in voltage/reactive power control IEEE Transactions on Power Systems 5 1990 1447 1454
4. O. Alsac, J. Bright, M. Prais, B. Scott, and J.L. Marinho Further developments in LP based optimal power flow IEEE Transactions on Power Systems 5 1990 697 711 (Pubitemid 20739206)
5. F.C. Lu, and Y.Y. Hsu Reactive power/voltage control in a distribution substation using dynamic programming IEE Proceedings on Generation, Transmission and Distribution 142 1995 639 645
6. Y.C. Wu, S. Debs, and R.E. Marsten A direct nonlinear predictor-corrector primal-dual interior point algorithm for optima power flows IEEE Transactions on Power Systems 9 1994 876 883
7. V.H. Quintana, and M. Santos-Nieto Reactive power dispatch by successive quadratic programming IEEE Transactions on Energy Conversion 4 1989 425 435 (Pubitemid 20607134)
8. S. Granville Optimal reactive power dispatch through interior point methods IEEE Transactions on Power Systems 9 1994 136 146
9. R. Zimmerman, C.E. Murillo-Sanchez, D. Gan, MATPOWER 3.0, power systems engineering research center (PSERC), February 2005 [online]. Available: http://www.pserc.cornell.edu/matpower.
10. A.G. Bakirtzis, P.N. Bikas, C.E. Zoumas, and V. Petridis Optimal power flow by enhanced genetic algorithm IEEE Transactions on Power Systems 17 2002 229 236 (Pubitemid 34741681)
11. W. Yan, F. Liu, and K.P. Wong A hybrid genetic algorithm-interior point method for optimal reactive power flow IEEE Transactions on Power Systems 21 2006 1163 1169 (Pubitemid 44263508)
12. E. Mezura-Montes, and C.A. Coello Coello Constraint-handling in nature-inspired numerical optimization: past, present and future Swarm and Evolutionary Computation 1 2011 173 194
13. K.Y. Lee, and F.F. Yang Optimal reactive power planning using evolutionary algorithms: a comparative study for evolutionary programming, evolutionary strategies, genetic algorithms and linear programming IEEE Transactions on Power Systems 13 1998 101 108 (Pubitemid 128748845)
14. C.H. Liang, and C.Y. Chung Comparison and improvement of evolutionary programming techniques for power system optimal reactive power flow IEE Proceedings on Generation, Transmission and Distribution 153 2006 228 236
15. D.B. Das, and C. Patvardhan A new hybrid evolution strategy for reactive power dispatch International Journal of Electrical Power & Energy Systems 65 2003 83 90
16. J.R. Gomes, and O.R. Saavedra A Cauchy-based evolution strategy for solving the reactive power dispatch problem International Journal of Electrical Power & Energy Systems 24 2002 277 283 (Pubitemid 34105420)
17. M.A. Abido Optimal power flow using particle swarm optimization International Journal of Electrical Power & Energy Systems 24 2002 563 571 (Pubitemid 34532350)
18. 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 Transactions on Power Systems 15 2000 1232 1239 (Pubitemid 32870262)
19. B. Zhao, C.X. Guo, and Y.J. Cao A multiagent based particle swarm optimization approach for reactive power dispatch IEEE Transactions on Power Systems 20 2005 1070 1078 (Pubitemid 40699739)
20. J.G. Vlachogiannis, and K.Y. Lee A comparative study on particle swarm optimization for optimal steady-state performance of power systems IEEE Transactions on Power Systems 21 2006 1718 1728 (Pubitemid 46357772)
21. Power system test case archive [online]. Available: http://www.ee. washington.edu/research/pstca/pf57/pgtca57bus.htm.
22. M. Varadarajan, and K.S. Swarup Solving multi-objective optimal power flow using differential evolution IEE Proceedings on Generation, Transmission and Distribution 2 2008 720 730
23. M. Varadarajan, and K.S. Swarup Differential evolutionary algorithm for optimal reactive power dispatch Electrical Power and Energy Systems 30 2008 435 441
24. M. Varadarajan, and K.S. Swarup Differential evolution approach for optimal reactive power dispatch Applied Soft Computing 8 2008 1549 1561
25. B.Y. Qu, and P.N. Suganthan Constrained multi-objective optimization algorithm with ensemble of constraint handling methods Engineering Optimization 43 2011 403 416
26. A. Zhou, B.Y. Qu, H. Li, S.Z. Zhao, P.N. Suganthan, and Q. Zhang Multiobjective evolutionary algorithms: a survey of the state-of-the-art Swarm and Evolutionary Computation 1 2011 32 49
27. Z. Michalewicz, and M. Schoenauer Evolutionary algorithms for constrained parameter optimization problems Evolutionary Computation 4 1996 1 32 (Pubitemid 126707158)
28. S. Koziel, and Z. Michalewicz Evolutionary algorithms, homomorphous mappings, and constrained parameter optimization Evolutionary Computation 7 1999 19 44
29. D.H. Wolpert, and W.G. Macready No free lunch theorems for optimization IEEE Transactions on Evolutionary Computation 1 1997 67 82 (Pubitemid 127771019)
30. R. Mallipeddi, and P.N. Suganthan Ensemble of constraint handling techniques IEEE Transactions on Evolutionary Computation 2010 Available online (uploaded)
31. Z. Michalewicz, and D.B. Fogel How to Solve It: Modern Heuristics 2000 Springer Verlag Berlin 231 244
32. C.H. Liang, C.Y. Chung, K.P. Wong, X.Z. Duan, and C.T. Tse Study of differential evolution for optimal reactive power flow IEE Proceedings on Generation, Transmission and Distribution 1 2007 253 260 (Pubitemid 46582792)
33. D. Bhagwan Das, and C. Patvardhan A new hybrid evolution strategy for reactive power dispatch Electrical Power Systems Research 65 2003 83 90
34. P. Subbaraj, and P.N. Rajnarayanan Optimal reactive power dispatch using self-adaptive real coded genetic algorithm Electrical Power Systems Research 79 2009 374 381
35. A.K. Qin, V.L. Huang, and P.N. Suganthan Differential evolution algorithm with strategy adaptation for global numerical optimization IEEE Transactions on Evolutionary Computation 13 2009 398 417
36. K. Deb An efficient constraint handling method for genetic algorithms Computer Methods in Applied Mechanics and Engineering 186 2000 311 338
37. D. Powell, M. Skolnick, Using genetic algorithms in engineering design optimization with non-linear constraints, Presented at the Proceedings of Fifth International Conference on Genetic Algorithms, San Mateo, California, 1993.
38. R. Farmani, and J.A. Wright Self-adaptive fitness formulation for constrained optimization IEEE Transactions on Evolutionary Computation 7 2003 445 455
39. B. Tessema, G.G. Yen, A self adaptive penalty function based algorithm for constrained optimization, in: IEEE Congress on Evolutionary Computation, 2006, pp. 246-253. (Pubitemid 47130504)
40. T. Takahama, S. Sakai, Constrained optimization by the constrained differential evolution with gradient-based mutation and feasible elites, Presented at the IEEE Congress on Evolutionary Computation, Sheraton Vancouver Wall Centre Hotel, Vancouver, BC, Canada, 2006.
41. T.P. Runarsson, and X. Yao Stochastic ranking for constrained evolutionary optimization IEEE Transactions on Evolutionary Computation 4 2000 284 294
42. Y. Jin A comprehensive survey of fitness approximation in evolutionary computation Soft Computing 9 2005 3 12 (Pubitemid 40097880)