Solution of reactive power dispatch of power systems by an opposition-based gravitational search algorithm

International Journal of Electrical Power and Energy Systems

Volumn 55, Issue , 2014, Pages 29-40

  Shaw, Binod ^a   Mukherjee, V ^b   Ghoshal, S P ^c  

^a ASANSOL ENGINEERING COLLEGE   (India)

^b INDIAN SCHOOL OF MINES   (India)

^c NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Gravitational search algorithm; Opposition based learning; Optimal reactive power dispatch; Optimization; Power systems

Indexed keywords

CONSTRAINED OPTIMI-ZATION PROBLEMS; EVOLUTIONARY OPTIMIZATION TECHNIQUES; GRAVITATIONAL SEARCH ALGORITHM (GSA); GRAVITATIONAL SEARCH ALGORITHMS; OPPOSITION-BASED LEARNING; OPTIMAL REACTIVE POWER DISPATCH; POPULATION INITIALIZATIONS; VOLTAGE STABILITY INDEX;

CONSTRAINED OPTIMIZATION; GRAVITATION; OPTIMIZATION; REACTIVE POWER; STANDBY POWER SYSTEMS;

LEARNING ALGORITHMS;

EID: 84884743577     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijepes.2013.08.010     Document Type: Article

References (46)

1. S. Durairaj, P.S. Kannan, and D. Devaraj Multi-objective VAR dispatch using particle swarm optimization Emerg Electr Power Syst 4 1 2005 ISSN(online):1553-779X
2. Happ HH. Optimal power dispatch - a comprehensive survey. IEEE Trans Power Apparat Syst 1977;PAS-96:841-51.
3. J.A. Momoh, M.E. El-Hawary, and R. Adapa A review of selected optimal power flow literature to 1993 part I & II IEEE Trans Power Syst 14 1 1999 96 111
4. S. Granville Optimal reactive dispatch through interior point methods IEEE IEEE Trans Power Syst 9 1 1994 136 146
5. V.H. Quintana, and M. Santos-Nieto Reactive power-dispatch by successive quadratic programming IEEE Trans Energy Convers 4 3 1989 425 435 (Pubitemid 20607134)
6. J.L.M. Ramos, A.G. Exposito, and V.H. Quintana Transmission power loss reduction by interior-point methods: implementation issues and practical experience IEE Proc Gen Trans Distrib 152 1 2005 90 98 (Pubitemid 40330256)
7. Bakare GA, Venayagamoorthy GK, Aliyu UO. Reactive power and voltage control of the Nigerian grid system using microgenetic algorithm. In: Proc IEEE power eng soc general meeting; 2005. p. 1916-22. (Pubitemid 41497235)
8. S. Durairaj, D. Devaraj, and P.S. Kannan Genetic algorithm applications to optimal reactive power dispatch with voltage stability enhancement IE (I) J-EL 87 2006 42 47 (Pubitemid 351540602)
9. D. Devaraj Improved genetic algorithm for multi-objective reactive power dispatch problem Eur Trans Electr Power 17 2007 569 581 (Pubitemid 350134139)
10. D. Devaraj, S. Durairaj, and P.S. Kannan Real parameter genetic algorithm to multi-objective reactive power dispatch Int J Power Energy Syst 28 1 2008 1710 2243
11. Q.H. Wu, Y.J. Cao, and J.Y. Wen Optimal reactive power dispatch using an adaptive genetic algorithm Int J Electr Power Energy Syst 20 8 1998 563 569 (Pubitemid 128420374)
12. Q.H. Wu, and J.T. Ma Power system optimal reactive power dispatch using evolutionary programming IEEE Trans Power Syst 10 3 1995 1243 1249
13. H. Yoshida, K. Kawata, Y. Fukuyama, S. Takamura, and Y. Nakanishi A particle swarm optimization for reactive power and voltage control considering voltage security assessment IEEE Trans Power Syst 15 4 2000 1232 1239 (Pubitemid 32870262)
14. A.A.A. Esmin, G. Lambert-Torres, and A.C.Z. De-Souza A hybrid particle swarm optimization applied to loss power minimization IEEE Trans Power Syst 20 2 2005 859 866 (Pubitemid 40699717)
15. M. Tripathy, and S. Mishra Bacteria foraging-based solution to optimize both real power loss and voltage stability limit IEEE Trans Power Syst 22 1 2007 240 248 (Pubitemid 46437733)
16. A.A.A.E. Ela, M.A. Abido, and S.R. Spea Differential evolution algorithm for optimal reactive power dispatch Electr Power Syst Res 81 2011 458 464
17. 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 Proc Gen Trans Distrib 1 2 2007 253 260 (Pubitemid 46582792)
18. M. Varadarajan, and K.S. Swarup Network loss minimization with voltage security using differential evolution Electr Power Syst Res 78 2008 815 823 (Pubitemid 351305438)
19. C. Dai, W. Chen, Y. Zhu, and X. Zhang Seeker optimization algorithm for optimal reactive power dispatch IEEE Trans Power Syst 24 3 2009 1218 1231
20. S. Duman, Y. Sönmez, U. Güvenc, and N. Yörükeren Optimal reactive power dispatch using a gravitational search algorithm IET Gener Transm Distrib 6 6 2012 563 576
21. J. Zhang, and A.C. Sanderson JADE: adaptive differential evolution with optional external archive IEEE Trans Evol Compt 13 5 2009 945 958
22. Lampinen J, Zelinka I. On stagnation of the differential evolution algorithms. In: Proc 6th int conf, soft computing; 2000. p. 76-83.
23. E. Rashedi, H. Nezamabadi-pour, and S. Saryazdi GSA: a gravitational search algorithm Inf Sci 179 13 2009 2232 2248
24. Tizhoosh HR. Opposition-based learning: a new scheme for machine intelligence. In: Proc int conf computational intel, modeling, control and automation; 2005. p. 695-701.
25. S. Rahnamayan, H.R. Tizhoosh, and M.M.A. Salama Opposition-based differential evolution IEEE Trans Evol Comput 12 1 2008 64 79 (Pubitemid 351330332)
26. B. Shaw, V. Mukherjee, and S.P. Ghoshal A novel opposition-based gravitational search algorithm for combined economic and emission dispatch problems of power systems Int J Electr Power Energy Syst 35 1 2012 21 33
27. A. Chatterjee, S.P. Ghoshal, and V. Mukherjee Solution of combined economic and emission dispatch problems of power systems by an opposition-based harmony search algorithm Int J Electr Power Energy Syst 39 1 2012 9 20
28. D. Halliday, R. Resnick, and J. Walker Fundamentals of physics 1993 John Wiley and Sons New York
29. M. Yin, Y. Hu, F. Yang, X. Li, and W. Gu A novel hybrid K-harmonic means and gravitational search algorithm approach for clustering Expert Syst Appl 38 8 2011 9319 9324
30. S. Sarafrazi, H. Nezamabadi-pour, and S. Saryazdi Disruption: a new operator in gravitational search algorithm Scientia Iranica 18 3 2011 539 548
31. S. Sarafrazi, and H. Nezamabadi-pour Facing the classification of binary problems with a GSA-SVM hybrid system Math Comp Model 57 1-2 2013 270 278
32. G. Sun, Q. Liu, C. Ji, and X. Li A novel approach for edge detection based on the theory of universal gravity Pattern Recogn 40 10 2007 2766 2775 (Pubitemid 46782848)
33. C. Lopez-Molina, H. Bustince, J. Fernandez, P. Couto, and B. Baets A gravitational approach to edge detection based on triangular norms Pattern Recogn 43 11 2010 3730 3741
34. E. Rashedi, H. Nezamabadi-pour, and S. Saryazdi Filter modeling using gravitational search algorithm Eng Appl Artif Intel 24 1 2011 117 122
35. C. Li, and J. Zhou Parameters identification of hydraulic turbine governing system using improved gravitational search algorithm Energy Convers Manage 52 4 2001 374 381
36. R.E. Precup, R.C. David, E.M. Petriu, M.B. Radac, S. Preitl, and J. Fodor Evolutionary optimization-based tuning of low-cost fuzzy controllers for servo systems Knowledge-Based Syst 38 2011 74 84
37. M.A. Behrang, E. Assareh, M. Ghalambaz, M.R. Assari, and A.R. Noghrehabadi Forecasting future oil demand in Iran using GSA (Gravitational Search Algorithm) Energy 36 9 2011 5649 5654
38. Ghasemi. Ali, Shayeghi. Hossein, and Alkhatib. Hasan Robust design of multimachine power system stabilizers using fuzzy gravitational search algorithm Int J Electr Power Energy Syst 51 2013 190 200
39. X.F. Wang, Y. Song, and M. Irving Modern power systems analysis 2008 Springer New York
40. A. Bhattacharya, and P.K. Chattopadhyay Solution of optimal reactive power flow using biogeography-based optimization Int J Electr Electron Eng 4 8 2010 568 576
41. K. Mahadevan, and P.S. Kannan Comprehensive learning particle swarm optimization for reactive power dispatch Appl Soft Comput 10 2010 641 652
42. P. Subbaraj, and P.N. Rajnarayanan Optimal reactive power dispatch using self-adaptive real coded genetic algorithm Electr Power Syst Res 79 2009 374 381
43. Zimmerman RD, Murillo-Sanchez CE, Gan D. Matlab power system simulation package (Version 3.1b2); 2006. < http://www.pserc.cornell.edu/matpower/ >.
44. The IEEE 57-bus test system. < http://www.ee.washington.edu/research/ pstca/pf57/pg-tca57bus.htm >.
45. The IEEE 118-bus test system. < http://www.ee.washington.edu/research/ pstca/pf118/pg-tca118bus.htm >.
46. S. Jeyadevi, S. Baskar, C.K. Babulal, and M.W. Iruthayarajan Solving multiobjective optimal reactive power dispatch using modified NSGA-II Int J Electr Power Energy Syst 33 2 2011 219 228