Solving the power economic dispatch problem with generator constraints by random drift particle swarm optimization

IEEE Transactions on Industrial Informatics

Volumn 10, Issue 1, 2014, Pages 222-232

  Sun, Jun ^a   Palade, Vasile ^b   Wu, Xiao Jun ^a   Fang, Wei ^a   Wang, Zhenyu ^b  

^a JIANGNAN UNIVERSITY   (China)

^b UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

computational intelligence; Constrained nonlinear optimization; economic dispatch problem; particle swarm optimization

Indexed keywords

CONSTRAINED NON-LINEAR OPTIMIZATIONS; CONVERGENCE PERFORMANCE; ECONOMIC DISPATCH PROBLEMS; NON-SMOOTH COST FUNCTIONS; NONLINEAR CHARACTERISTICS; OPTIMIZATION TECHNIQUES; POWER ECONOMIC DISPATCHES; PROHIBITED OPERATING ZONE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CONSTRAINED OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO); POWER GENERATION; RAMP GENERATORS; SCHEDULING;

PROBLEM SOLVING;

EID: 84891083731     PISSN: 15513203     EISSN: None     Source Type: Journal    
DOI: 10.1109/TII.2013.2267392     Document Type: Article

References (47)

1. T. A. J. Nicholson, Optimization in Industry. Piscataway, NJ, USA: Transaction Publisher, 2007.
2. A. A. Nabulsi and R. Dhaouadi, "Efficiency optimization of a DSPbased standalone PV system using fuzzy logic and dual-MPPT control," IEEE Trans. Ind. Inf., vol. 8, no. 3, pp. 578-584, Aug. 2012.
3. B. H. Chowdhury and S. Rahman, "A review of recent advances in economic dispatch," IEEE Trans Power Syst., vol. 5, no. 4, pp. 1248-1259, Apr. 1990.
4. S. Granville, "Optimal reactive dispatch through interior point methods," IEEE Trans Power Syst., vol. 9, no. 1, pp. 136-146, Feb. 1994.
5. R. N. Dhar and P. K. Mukherjee, "Reduced-gradient method for economic dispatch," Proc. Inst. Elec. Eng., vol. 120, no. 5, pp. 608-610, May 1973.
6. Z. X. Liang and J. D. Glover, "Azoom feature for a dynamic programming solution to economic dispatch including transmission losses," IEEE Trans Power Syst., vol. 7, no. 2, pp. 544-550, Feb. 1992.
7. R. R. Shoultsa, R. K. Chakravartya, and R. Lowtherb, "Quasi-static economic dispatch using dynamic programming with an improved zoom feature," Elec. Power Syst. Res., vol. 39, no. 3, pp. 215-222, 1996.
8. A. Bakirtzis, V. Petridis, and S. Kazarlis, "Genetic algorithm solution to the economic dispatch problem," Proc. Inst. Elect. Eng.-Gen., Transm. Dist., vol. 141, no. 4, pp. 377-382, Jul. 1994.
9. P.-H. Chen and H.-C. Chang, "Large-scale economic dispatch by genetic algorithm," IEEE Trans. Power Syst., vol. 10, no. 4, pp. 1919-1926, Nov. 1995.
10. C.-L. Chiang, "Improved genetic algorithm for power economic dispatch of units with valve-point effects and multiple fuels," IEEE Trans. Power Syst., vol. 20, no. 4, pp. 1690-1699, Nov. 2005. (Pubitemid 41700521)
11. Z.-L. Gaing, "Particle swarm optimization to solving the economic dispatch considering the generator constraints," IEEE Trans. Power Syst., vol. 18, no. 3, pp. 1187-1195, Aug. 2003.
12. F.Yao et al., "Quantum-inspired particle swarmoptimization for power system operations considering wind power uncertainty and carbon tax in australia," IEEE Trans. Ind. Inf., vol. 8, no. 4, pp. 880-888, Nov. 2012.
13. J.-H. Zhao et al., "Optimal dispatch of electric vehicles and wind power using enhanced particle swarm optimization," IEEE Trans. Ind. Inf., vol. 8, no. 4, Nov. 2012.
14. M. Vanitha and K. Thanushkodi, "Solution to economic dispatch problem by differential evolution algorithm considering linear equality and inequality constrains," Int. J. Res. Rev. Elec. Comp. Eng., vol. 1, no. 1, pp. 21-27, Mar. 2011.
15. L. S. Coelho and V. C. Mariani, "Combing of chaotic differential evolution and quadratic programming for economic dispatch optimization with valve-point effect," IEEE Trans. Power Syst., vol. 21, no. 2, pp. 989-996, May 2006.
16. S. M. Elsayed, R. A. Sarker, and D. L. Essam, "An improved self-adaptive differential evolution algorithm for optimization problems industrial informatics," IEEE Trans. Ind. Inf., vol. 9, no. 1, pp. 89-99, Feb. 2013.
17. Y. M. Park, J. R. Won, and J. B. Park, "A new approach to economic load dispatch based on improved evolutionary programming," Eng. Intell. Syst. Elect. Eng. Commun., vol. 6, no. 2, pp. 103-110, Jun. 1998. (Pubitemid 128508886)
18. N. Sinha, R. Chakrabarti, and P. K. Chattopadhyay, "Evolutionary programming techniques for economic load dispatch," IEEE Trans. Evol. Comput., vol. 7, pp. 83-94, Feb. 2003.
19. W. M. Lin, F. S. Cheng, and M. T. Tsay, "An improved Tabu search for economic dispatch with multipleminima," IEEE Trans. Magn., vol. 38, pp. 1037-1040, Mar. 2002.
20. C. Yang, G. Deconinck, and W. Gui, "An optimal power-dispatching control system for the electrochemical process of zinc based on backpropagation and Hopfield neural networks," IEEE Trans. Ind. Electron., vol. 50, no. 5, pp. 953-961, May 2003.
21. K. Y. Lee, A. Sode-Yome, and J. H. Park, "Adaptive Hopfield neural network for economic load dispatch," IEEE Trans. Power Syst., vol. 13, pp. 519-526, May 1998. (Pubitemid 128748901)
22. T. Sum-Im, "Economic dispatch by ant colony search algorithm," in Proc. 2004 IEEE Conf. Cybe. Intell. Syst., Dec. 2004, vol. 1, pp. 416-421. (Pubitemid 40062339)
23. T. K. Abdul Rahman, Z. M. Yasin, and W. N. W. Abdullah, "Artificial- immune-based for solving economic dispatch in power system," in Proc. 2004 Nat. Power Energy Conf., 2004, pp. 31-35. (Pubitemid 43111326)
24. Y. Chuan, G. K. Venayagamoorthy, and K. Corzine, "AIS-based coordinated and adaptive control of generator excitation systems for an electric ship," IEEE Trans. Ind. Electron., vol. 59, no. 8, pp. 3102-2112, Feb. 2012.
25. C. Chokpanyasuwan, "Honey bee colony optimization to solve economic dispatch problem with generator constraints," in Proc. 6th Int. Conf. Electron. Eng./Elect., Comp., Telecom. Inf. Tech.,May 2009, vol. 1, pp. 200-203.
26. X.-S. Yang, S. S. S. Hosseini, and A. H. Gandomi, "Firefly algorithm for solving non-convex economic dispatch problems with valve loading effect," Appl. Soft Comput., vol. 12, pp. 1180-1186, 2012.
27. C.-P. Cheng, C.-W. Liu, and C.-C. Liu, "Unit commitment by annealing- genetic algorithm," Elect. Power & Energy Syst., vol. 24, pp. 149-158, 2002. (Pubitemid 33089096)
28. M. A. Omar, Elementary Solid State Physics: Principles and Applications. : Addison-Wesley, 1993.
29. K. S. Swarup and S. Yamashiro, "Unit commitment solution methodology using genetic algorithm," IEEE Trans. Power Syst., vol. 17, no. 1, pp. 87-91, Feb. 2002. (Pubitemid 34255075)
30. J. Kennedy and R. C. Eberhart, "Particle swarm optimization," in Proc. 1995 IEEE Int. Conf. Neural Netw., pp. 1942-1948.
31. J. Hewlett, B. Wilamowski, and G. Dundar, "Merge of evolutionary computation with gradient based method for optimization problems," in Proc. 2007 IEEE Int. Sym. Ind. Electron., 2007, pp. 3204-3309.
32. Y. Shi and R. C. Eberhart, "A modified particle swarm optimizer," in Proc. IEEE Int. Conf. Evol. Comput., 1998, pp. 69-73.
33. M. Clerc and J. Kennedy, "The particle swarm-explosion, stability and convergence in a multidimensional complex space," IEEE Trans. Evol. Comput., vol. 6, no. 2, pp. 58-73, Feb. 2002. (Pubitemid 34404564)
34. N. Pham, A. Malinowski, and T. Bartczak, "Comparative study of derivative free optimization algorithms," IEEE Trans. Ind. Inf., vol. 7, no. 4, pp. 592-600, Nov. 2011.
35. K. Y. Chan, T. S. Dillon, and C. K. Kwong, "Modeling of a liquid epoxy molding process using a particle swarm optimization-based fuzzy regression approach," IEEE Trans. Ind. Inf., vol. 7, no. 1, pp. 148-158, Jan. 2011.
36. J. Sun, W. Fang,X.Wu, V. Palade, and W. Xu, "Quantum-behaved particle swarm optimization: Analysis of the individual particle's behavior and parameter selection," Evol. Comput., vol. 20, no. 3, pp. 349-393, Aug. 2012.
37. J. Sun, X.Wu, V. Palade,W. Fang, C.-H. Lai, and W. Xu, "Convergence analysis and improvements of quantum-behaved particle swarm optimization," Inf. Sci., vol. 193, pp. 81-103, 2012.
38. S. H. Ling, H. H. C. Iu, K. Y. Chan, H. K. Lam, B. C. W. Yeung, and F. H. Leung, "Hybrid particle swarm optimization with wavelet mutation and its industrial applications," IEEE Trans. Syst., Man, Cyber. B, vol. 38, no. 3, pp. 743-763, Jun. 2008. (Pubitemid 351796155)
39. J. Cai, X.Ma, L. Li, and H. Peng, "Chaotic particle swarmoptimization for economic dispatch considering the generator constraints," Energy Conve Manag., vol. 48, pp. 645-653, 2007. (Pubitemid 46027300)
40. A. I. Selvakumar and K. Thanushkodi, "Anti-predatory particle swarm optimization: Solution to nonconvex economic dispatch problems," Elect. Power Syst. Res., vol. 78, pp. 2-10, 2008. (Pubitemid 47538885)
41. Y.-J. Gong et al., "Optimizing RFID network planning by using a particle swarm optimization algorithm with redundant reader elimination," IEEE Trans. Ind. Inf., vol. 8, no. 4, pp. 900-912, Nov. 2012.
42. S. H. Yeung et al., "Computational optimization algorithms for antennas and RF/microwave circuit designs: An overview," IEEE Trans. Indus. Inform., vol. 8, no. 2, pp. 216-227, May 2012.
43. V. Roberge, M. Tarbouchi, and G. Labonte, "Comparison of parallel genetic algorithm and particle swarm optimization for real-time UAV path planning," IEEE Trans. Ind. Inf., vol. 9, no. 1, pp. 132-141, Feb. 2013.
44. K. Y. Chan et al., "Enhancement of speech recognitions for control automation using an intelligent particle swarm optimization," IEEE Trans. Ind. Inf., vol. 8, no. 4, pp. 869-879, Nov. 2012.
45. K. Y. Chan, T. S. Dillon, and E. Chang, "An intelligent particle swarm optimization for short-term traffic flow forecasting using on-road sensor systems," IEEE Trans. Ind. Electron., vol. 60, no. 10, pp. 4714-4725, Aug. 2012.
46. H. Yoshida, K. Kawata, Y. Fukuyama, S. Takayama, and Y. Nakanishi, "A particle swarm optimization for reactive power and voltage control considering voltage security assessment," IEEE Trans. Power Syst., vol. 15, pp. 1232-1239, Nov. 2000. (Pubitemid 32870262)
47. F. N. Lee and A. M. Breipohl, "Reserve constrained economic dispatch with prohibited zones," IEEE Trans. Power Syst., vol. 8, pp. 246-254, Feb. 1993.