Chaotic improved PSO-based multi-objective optimization for minimization of power losses and L index in power systems

Energy Conversion and Management

Volumn 86, Issue , 2014, Pages 548-560

  Chen, Gonggui ^a,b   Liu, Lilan ^a   Song, Peizhu ^c   Du, Yangwei ^a  

^a CHONGQING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^b HUBEI UNIVERSITY FOR NATIONALITIES   (China)

^c Hubei Energy Group Qiyueshan Wind Power Co Ltd   (China)

Author keywords

Chaotic improved PSO based multi objective optimization; Constrain prior Pareto dominance method; Crossover operator; L index; Multi objective optimal reactive power dispatch; Pareto optimal; Power losses

Indexed keywords

CONSTRAINT THEORY; PARETO PRINCIPLE; PARTICLE SWARM OPTIMIZATION (PSO); REACTIVE POWER;

CROSSOVER OPERATOR; L INDEX; OPTIMAL REACTIVE POWER DISPATCH; PARETO DOMINANCE; PARETO-OPTIMAL; POWER-LOSSES; PSO-BASED MULTI-OBJECTIVE OPTIMIZATION;

MULTIOBJECTIVE OPTIMIZATION;

EID: 84903579619     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2014.06.003     Document Type: Article

References (31)

1. W. Yan, F. Liu, C.Y. Chung, and K.P. Wong A hybrid genetic algorithm-interior point method for optimal reactive power flow IEEE Trans Power Syst 21 3 2006 1163 1169 (Pubitemid 44263508)
2. M.A. Abido, and J.M. Bakhashwain Optimal VAR dispatch using a multiobjective evolutionary algorithm Int J Electr Power Energy Syst 27 1 2005 13 20
3. F.G. Montoya, R. Banos, C. Gil, A. EspIn, A. Alcayde, and J. Gomez Minimization of voltage deviation and power losses in power networks using Pareto optimization methods Eng Appl Artif Intell 23 5 2010 695 703
4. 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
5. A. Saraswat, and A. Saini Multi-objective optimal reactive power dispatch considering voltage stability in power systems using HFMOEA Eng Appl Artif Intell 26 1 2013 390 404
6. B. Mahdad, T. Bouktir, K. Srairi, and M.E. Benbouzid Dynamic strategy based fast decomposed GA coordinated with FACTS devices to enhance the optimal power flow Energy Convers Manage 51 7 2010 1370 1380
7. S. Sayah, and K. Zehar Modified differential evolution algorithm for optimal power flow with non-smooth cost functions Energy Convers Manage 49 11 2008 3036 3042
8. H. Xiong, H. Cheng, and H. Li Optimal reactive power flow incorporating static voltage stability based on multi-objective adaptive immune algorithm Energy Convers Manage 49 5 2008 1175 1181 (Pubitemid 351389575)
9. Y.T. Hsiao, H.D. Chiang, C.C. Liu, and Y.L. Chen A computer package for optimal multiobjective VAR planning in large scale power systems IEEE Trans Power Syst 9 2 1994 668 676
10. Y.L. Chen, and C.C. Liu Multiobjective VAR planning using the goal-attainment method IEE Proc Generat Transm Distrib 141 3 1994 227 232
11. K. Deb Multi-objective optimization using evolutionary algorithms 2001 Wiley Chichester, UK
12. M. Basu Multi-objective optimal power flow with FACTS devices Energy Convers Manage 52 2 2011 903 910
13. J. Yang, J. Zhou, L. Liu, and Y. Li A novel strategy of pareto-optimal solution searching in multi-objective particle swarm optimization (MOPSO) Comput Math Appl 57 11-12 2009 1995 2000
14. M.A. Abido Multiobjective particle swarm optimization for environmental/economic dispatch problem Electr Power Syst Res 79 7 2009 1105 1113
15. P. Ahmadi, I. Dincer, and M.A. Rosen Thermodynamic modeling and multi-objective evolutionary-based optimization of a new multigeneration energy system Energy Convers Manage 76 12 2013 282 300
16. Kennedy J, Eberhart R. Particle swarm optimization. In: IEEE International Conference on Neural Networks, Perth, Australia, 1995. p.1942-8.
17. X. Yuan, L. Wang, and Y. Yuan Application of enhanced PSO approach to optimal scheduling of hydro system Energy Convers Manage 49 2008 2966 2972
18. M.R. AlRashidi, and M.E. EI-Hawary Hybrid particle swarm optimization approach for solving the discrete OPF problem considering the valve loading effects IEEE Trans Power Syst 22 4 2007 2030 2038
19. 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 (Pubitemid 34555372)
20. G. Chen Research on optimal operation of power systems including wind farms 2012 Huazhong University of Science and Technology Wuhan
21. Lee KY, Park YM, Ortiz JL. A united approach to optimal real and reactive power dispatch. IEEE Trans Power Apparatus Syst 1985; PAS-104(5): p. 1147-53. (Pubitemid 15476804)
22. Alsac O, Stott B. Optimal load flow with steady state security. IEEE Trans Power Apparatus Syst 1974; PAS-93(3): 745-51.
23. Zimmierman RD, Murillo-Sánchez CE, Gan D.MATPOWER: a matlab power system simulation package. < http://www.pserc. cornell.edu/matpower/3.2 >.
24. Cañizares C. Voltage stability assessment: concepts, practices and tools. IEEE/PES Power System Stability Subcommittee special publication, 2002.
25. R. Raghunatha, R. Ramanujam, K. Parthasarathy, and D. Thukaram Optimal static voltage stability improvement using a numerically stable SLP algorithm, for real time applications Int J Electr Power Energy Syst 21 4 1999 289 297
26. Shi Y, Eberhart R. A modified particle swarm optimizer. In: IEEE international conference on evolutionary computation, 1998. p. 69-73.
27. S.H. Strogatz Nonlinear dynamics and chaos 2000 Perseus Books Publishing Massachussetts
28. X.H. Yuan, B. Cao, B. Yang, and Y.B. Yuan Hydrothermal scheduling using chaotic hybrid differential evolution Energy Convers Manage 49 12 2008 3627 3633
29. J.E. Fieldsend Multi-objective particle swarm optimization methods 2004 Department of Computer Science, University of Exeter
30. L.F. Wang, and C. Singh Environmental/economic power dispatch using a fuzzified multi-objective particle swarm optimization algorithm Electr Power Syst Res 77 12 2007 1654 1664 (Pubitemid 47348219)
31. Sakawa M, Yano H, Yumine T. An interactive fuzzy satisficing method for multiobjective linear-programming problems and its application. IEEE Trans Syst, Man and Cybernetics 1987; SMC-17(4): p. 654-61. (Pubitemid 17650834)