Frequency domain design of fractional order PID controller for AVR system using chaotic multi-objective optimization

International Journal of Electrical Power and Energy Systems

Volumn 51, Issue , 2013, Pages 106-118

  Pan, Indranil ^a   Das, Saptarshi ^b,c  

^a INDIAN INSTITUTE OF TECHNOLOGY DELHI   (India)

^b JADAVPUR UNIVERSITY   (India)

^c UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

Automatic Voltage Regulator (AVR); Chaotic Henon map; Evolutionary multi objective optimization; Fractional order PID controller; Frequency domain controller design; Phase margin gain crossover frequency trade off

Indexed keywords

AUTOMATIC VOLTAGE REGULATORS; CROSS-OVER FREQUENCIES; EVOLUTIONARY MULTIOBJECTIVE OPTIMIZATION; FRACTIONAL-ORDER PID CONTROLLERS; FREQUENCY DOMAINS; HENON MAP;

ECONOMIC AND SOCIAL EFFECTS; ELECTRIC CONTROL EQUIPMENT; FREQUENCY DOMAIN ANALYSIS; MULTIOBJECTIVE OPTIMIZATION; RANDOM NUMBER GENERATION; THREE TERM CONTROL SYSTEMS;

DESIGN;

EID: 84875838065     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijepes.2013.02.021     Document Type: Article

References (43)

1. S.K. Chang, F. Albuyeh, M.L. Gilles, G.E. Marks, and K. Kato Optimal real-time voltage control IEEE Trans Power Syst 5 3 1990 750 758
2. F.A. Viawan, A. Sannino, and J. Daalder Voltage control with on-load tap changers in medium voltage feeders in presence of distributed generation Electr Power Syst Res 77 10 2007 1314 1322
3. H. Khodr, F. Olsina, P. Jesus, and J. Yusta Maximum savings approach for location and sizing of capacitors in distribution systems Electr Power Syst Res 78 7 2008 1192 1203
4. P. Kundur, N.J. Balu, and M.G. Lauby Power system stability and control 1994 McGraw-Hill New York
5. D. Flynn, B. Hogg, E. Swidenbank, and K. Zachariah A self-tuning automatic voltage regulator designed for an industrial environment IEEE Trans Energy Convers 11 2 1996 429 434
6. Y. Tang, M. Cui, C. Hua, L. Li, and Y. Yang Optimum design of fractional order PIλDμ controller for AVR system using chaotic ant swarm Expert Syst Appl 39 8 2012 6887 6896
7. Z.L. Gaing A particle swarm optimization approach for optimum design of PID controller in AVR system IEEE Trans Energy Convers 19 2 2004 384 391
8. M. Zamani, M. Karimi-Ghartemani, N. Sadati, and M. Parniani Design of a fractional order PID controller for an AVR using particle swarm optimization Control Eng Pract 17 12 2009 1380 1387
9. I. Pan, and S. Das Chaotic multi-objective optimization based design of fractional order PIλDμ controller in AVR system Int J Electr Power Energy Syst 43 1 2012 393 407
10. Viveros E, Taranto G, Falcao D. Coordinated tuning of AVRs and PSSs by multiobjective genetic algorithms. In: Proceedings of the 13th international conference on, intelligent systems application to power systems; 2005. p. 6.
11. Ma H, Man K, Hill D. Control strategy for multi-objective coordinate voltage control using hierarchical genetic algorithms. In: IEEE international conference on, industrial technology. ICIT; 2005. p. 158-63.
12. J.E. Mendoza, D.A. Morales, R.A. López, E.A. López, J.C. Vannier, and C.A.C. Coello Multiobjective location of automatic voltage regulators in a radial distribution network using a micro genetic algorithm IEEE Trans Power Syst 22 1 2007 404 412
13. T. Niknam, M.R. Narimani, and R. Azizipanah-Abarghooee A multi-objective fuzzy adaptive PSO algorithm for location of automatic voltage regulators in radial distribution networks Int J Control Autom Syst 10 4 2012 772 777
14. K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan A fast and elitist multiobjective genetic algorithm: NSGA-II IEEE Trans Evol Comput 6 2 2002 182 197
15. I. Podlubny Fractional differential equations: an introduction to fractional derivatives, fractional differential equations, to methods of their solution and some of their applications 1999 Academic press San Diego
16. A. Herreros, E. Baeyens, and J.R. Perán Design of PID-type controllers using multiobjective genetic algorithms ISA Trans 41 4 2002 457 472
17. S.Z. Zhao, M.W. Iruthayarajan, S. Baskar, and P. Suganthan Multi-objective robust PID controller tuning using two lbests multi-objective particle swarm optimization Inf Sci 181 16 2011 3323 3335
18. Pedersen GKM, Yang Z. Multi-objective PID-controller tuning for a magnetic levitation system using NSGA-II. In: Proceedings of the 8th annual conference on genetic and, evolutionary computation; 2006. p. 1737-44
19. S. Ghoshal Optimizations of PID gains by particle swarm optimizations in fuzzy based automatic generation control Electr Power Syst Res 72 3 2004 203 212
20. H. Gozde, and M. Cengiz Taplamacioglu Comparative performance analysis of artificial bee colony algorithm for automatic voltage regulator (AVR) system J Franklin Inst 348 8 2011 1927 1946
21. D.H. Kim Hybrid GA-BF based intelligent PID controller tuning for AVR system Appl Soft Comput 11 1 2011 11 22
22. V. Mukherjee, and S. Ghoshal Intelligent particle swarm optimized fuzzy PID controller for AVR system Electr Power Syst Res 77 12 2007 1689 1698
23. S. Das, S. Saha, S. Das, and A. Gupta On the selection of tuning methodology of FOPID controllers for the control of higher order processes ISA Trans 50 3 2011 376 388
24. C.A. Monje, A.J. Calderon, B.M. Vinagre, Y. Chen, and V. Feliu On fractional PIλ controllers: some tuning rules for robustness to plant uncertainties Nonlinear Dyn 38 1 2004 369 381
25. C.A. Coello An updated survey of GA-based multiobjective optimization techniques ACM Comput Surv (CSUR) 32 2 2000 109 143
26. C.M. Fonseca, and P.J. Fleming An overview of evolutionary algorithms in multiobjective optimization Evol Comput 3 1 1995 1 16
27. R. Caponetto, L. Fortuna, S. Fazzino, and M.G. Xibilia Chaotic sequences to improve the performance of evolutionary algorithms IEEE Trans Evol Comput 7 3 2003 289 304
28. M. Bucolo, R. Caponetto, L. Fortuna, M. Frasca, and A. Rizzo Does chaos work better than noise? IEEE Circ Syst Mag 2 3 2002 4 19
29. H. Zhu, L. Li, Y. Zhao, Y. Guo, and Y. Yang CAS algorithm-based optimum design of PID controller in AVR system Chaos Solitons Fract 42 2 2009 792 800
30. A. Chatterjee, V. Mukherjee, and S. Ghoshal Velocity relaxed and craziness-based swarm optimized intelligent PID and PSS controlled AVR system Int J Electr Power Energy Syst 31 7-8 2009 323 333
31. Guo D, Wang J, Huang J, Han R, Song M. Chaotic-NSGA-II: an effective algorithm to solve multi-objective optimization problems. In: International conference on, intelligent computing and integrated systems (ICISS); 2010. p. 20-3.
32. P. Grassberger, H. Kantz, and U. Moenig On the symbolic dynamics of the Hénon map J Phys A: Math Gen 22 1989 5217
33. L. dos Santos Coelho, and V.C. Mariani A novel chaotic particle swarm optimization approach using Henon map and implicit filtering local search for economic load dispatch Chaos Solitons Fract v39 2007 510 518
34. A. Visioli Practical PID control 2006 Springer Verlag
35. Q. Zhang, and H. Li MOEA/D: a multiobjective evolutionary algorithm based on decomposition IEEE Trans Evol Comput 11 6 2007 712 731
36. A. Khodabakhshian, and R. Hooshmand A new PID controller design for automatic generation control of hydro power systems Int J Electr Power Energy Syst 32 5 2010 375 382
37. A. Hajizadeh, and M.A. Golkar Control of hybrid fuel cell/energy storage distributed generation system against voltage sag Int J Electr Power Energy Syst 32 5 2010 488 497
38. H.S. Marques, V. Anunciada, and B.V. Borges Power grid current harmonics mitigation drawn on low voltage rated switching devices with effortless control Int J Electr Power Energy Syst 32 1 2010 87 99
39. E. Bianconi Perturb and Observe MPPT algorithm with a current controller based on the sliding mode Int J Electr Power Energy Syst 44 1 2013 346 356
40. F. Habibi, A.H. Naghshbandy, and H. Bevrani Robust voltage controller design for an isolated microgrid using Kharitonov's theorem and D-stability concept Int J Electr Power Energy Syst 44 1 2013 656 665
41. B. Liu, J.J. Wu, J. Li, and J.Y. Dai A novel PFC controller and selective harmonics suppression Int J Electr Power Energy Syst 44 1 2013 680 687
42. R. Eriksson, and L. Söder On the coordinated control of multiple HVDC links using input-output exact linearization in large power systems Int J Electr Power Energy Syst 43 1 2012 118 125
43. H. Ribeiro, H. Marques, and B.V. Borges Characterizing and monitoring voltage transients as problem to sensitive loads Int J Electr Power Energy Syst 43 1 2012 1305 1317