A PSO method with nonlinear time-varying evolution for optimal design of harmonic filters

IEEE Transactions on Power Systems

Volumn 24, Issue 1, 2009, Pages 437-444

  Ko, Chia Nan ^a   Chang, Ying Pin ^a   Wu, Chia Ju ^b  

^a NAN KAI UNIVERSITY OF TECHNOLOGY   (Taiwan)

^b NATIONAL YUNLIN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Harmonic distortion; Harmonic filter; Nonlinear time varying evolution; Orthogonal array; Particle swarm optimization

Indexed keywords

ELECTRIC NETWORK TOPOLOGY; EXPERIMENTS; HARMONIC ANALYSIS; HARMONIC DISTORTION; OPTICAL COMMUNICATION; OPTIMIZATION; PASSIVE FILTERS; TIME VARYING SYSTEMS;

CURRENTS AND VOLTAGES; DC ARC FURNACES; FULL FACTORIAL EXPERIMENTS; HARMONIC FILTER; HARMONIC-CURRENT SOURCES; ILLUSTRATIVE EXAMPLES; MATRIXES; NONLINEAR TIME-VARYING EVOLUTION; OPTIMAL DESIGNS; ORTHOGONAL ARRAY; PARTICLE SWARM OPTIMIZATION; PARTICLE SWARM OPTIMIZATION METHODS; PASSIVE HARMONIC FILTERS; STATIC VAR COMPENSATORS; TOTAL HARMONIC DISTORTIONS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 60349086977     PISSN: 08858950     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRS.2008.2004845     Document Type: Article

References (25)

1. L. George, C. Casazza, and A. John, The Evolution of Electric Power Transmission under Deregulation: Selected Readings. Piscataway, NJ: IEEE Press, 1999.
2. D. Basic, V. S. Ramsden, and P. K. Muttik, "Minimization of active filter rating in high power hybrid filter systems," in Proc. 1999 Int. Conf. Power Electronics and Drive Systems, pp. 1043-1048.
3. D. A. Gonzalez and J. C. McCall, "Design of filters to reduce harmonic distortion in industrial power systems," IEEE Trans. Ind. Appl., vol. 23, no. 3, pp. 504-511, 1987.
4. H. Fujita and H. Akagi, "Design strategy for the combined system of shunt passive and series active filters," in Proc. 1991 IEEE Ind. Appl. Soc. Annu. Meeting, vol. 1, pp. 898-903.
5. C. J. Chou, C. W. Liu, J. Y. Lee, and K. D. Lee, "Optimal planning of large passive-harmonic-filters set at high voltage level," IEEE Trans. Power Syst., vol. 15, no. 1, pp. 433-441, Feb. 2000.
6. A. Berizzi and C. Bovo, "The use of genetic algorithms for the localization and sizing of passive filters," in Proc. 2000 9th Int. Conf. Harmonics and Quality of Power, vol. 1, pp. 19-25.
7. J. Kennedy and R. Eberhart, "Particle swarm optimization," in Proc. 1995 IEEE Int. Conf. Neural Networks, pp. 1942-1948.
8. Z. L. Gaing, "A particle swarm optimization approach for optimum design of PID controller in AVR system," IEEE Trans. Energy Convers., vol. 19, pp. 384-391, 2004.
9. S. L. Ho, S. Yang, G. Ni, and H. C. Wong, "A particle swarm optimization method with enhanced global search ability for design optimizations of electromagnetic devices," IEEE Trans. Magn., vol. 42, pp. 1107-1110, 2006.
10. H.Yoshida, K. Kawata, and Y. Fukuyama, "A particle swarm optimization for reactive power and voltage control considering voltage security assessment," IEEE Trans. Power Syst., vol. 15, no. 4, pp. 1232-1239, Nov. 2000.
11. R. C. Eberhart and Y. Shi, "Comparison between genetic algorithms and particle swarm optimization," in Proc. 1998 IEEE Int. Congr. Evolutionary Computation, pp. 611-616.
12. D. W. Boeringer and D. H. Werner, "Particle swarm optimization versus genetic algorithms for phased array synthesis," IEEE Trans. Antennas Propag., vol. 52, pp. 771-779, 2004.
13. R. Mendes, J. Kennedy, and J. Neves, "The fully informed particle swarm: Simpler, maybe better," IEEE Trans. Evol. Comput., vol. 8, pp. 204-210, 2004.
14. E. Elbeltagi, T. Hegazy, and D. Grierson, "Comparison among five evolutionary-based optimization algorithms," Adv. Eng. Informat., vol. 19, no. 1, pp. 43-53, 2005.
15. C. N. Ko, Y. P. Chang, and C. J. W. 2007, "An orthogonal-array-based particle swarm optimizer with nonlinear time-varying evolution," Appl. Math. Comput., vol. 191, no. 1, pp. 272-279, 2007.
16. Y. Shi and R. C. Eberhart, "A modified particle swarm optimizer," in Proc. 1998 IEEE Int. Conf. Evolutionary Computation, 1998, pp. 69-73.
17. Y. Shi and R. C. Eberhart, "Empirical study of particle swarm optimization," in Proc. 1999 IEEE Int. Congr. Evolutionary Computation, pp. 1945-1950.
18. R. C. Eberhart and Y. Shi, "Tracking and optimizing dynamic systems with particle swarms," in Proc. 2001 IEEE Int. Congr. Evolutionary Computation, pp. 94-100.
19. A. Ratnaweera, S. K. Halgamuge, and H. C. Watson, "Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients," IEEE Trans. Evol. Comput., vol. 8, pp. 240-255, 2004.
20. A. Chatterjee and P. Siarry, "Nonlinear inertia weight variation for dynamic adaptation in particle swarm optimization," Comput. Oper. Res., vol. 33, pp. 859-871, 2006.
21. D. C. Montgomery, Design and Analysis of Experiments, 3rd ed. New York: Wiley, 1991.
22. C. R. Hicks, Fundamental Concepts in the Design of Experiments, 4th ed. Fort Worth, TX: Saunders College, 1993.
23. Y. W. Leung and Y. P. Wang, "An orthogonal genetic algorithm with quantization for global numerical optimization," IEEE Trans. Evol. Comput., vol. 5, pp. 41-53, 2001.
24. R. R. Yager, "On a general class of fuzzy connectives," Fuzzy Sets Syst., vol. 4, pp. 235-242, 1980.
25. IEEE Recommended Practices and Requirements for Harmonic Control in Electric Power Systems, New York, 1993, IEEE Std. 519-1992.