Journal of international Conference on Electrical Machines and Systems

  • 제1권1호
  • /
  • Pages.135-142
  • /
  • 2012
  • /
  • 2234-6902(pISSN)
  • /
  • 2234-7577(eISSN)
대한전기학회 분과 (Journal of International Conference on Electrical Machines and Systems)
권호 표지
DOI QR코드

DOI QR Code

Power System Oscillations Damping Using UPFC Based on an Improved PSO and Genetic Algorithm

  • Babaei, Ebrahim (Dept. of Electrical and Computer Engineering, University of Tabriz) ;
  • Bolhasan, Amin Mokari (Dept. of Electrical and Computer Engineering, University of Tabriz) ;
  • Sadeghi, Meisam (Tabriz Electric Power Distribution Company) ;
  • Khani, Saeid (Dept. of Electrical Engineering, Hadishahr branch, Islamic Azad University)
  • 투고 : 2011.07.23
  • 심사 : 2011.10.24
  • 발행 : 2012.03.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

In this paper, optimal selection of the unified power flow controller (UPFC) damping controller parameters in order to improve the power system dynamic response and its stability based on two modified intelligent algorithms have been proposed. These algorithms are based on a modified intelligent particle swarm optimization (PSO) and continuous genetic algorithm (GA). After extraction of UPFC dynamic model, intelligent PSO and genetic algorithms are used to select the effective feedback signal of the damping controller; then, to compare the performance of the proposed UPFC controller in damping the critical modes of a single-machine infinite-bus (SMIB) power system, the simulation results are presented. The comparison shows the good performance of both presented PSO and genetic algorithms in an optimal selection of UPFC damping controller parameters and damping oscillations.

키워드

참고문헌

  1. P. Kundur, J. Paserba, V. Ajjarapu, G. Andersson, A. Bose, C. Canizares, N. Hatziargyriou, D. Hill, A. Stankovic, C. Taylor, V.T. Cutsem, and V. Vittal, "Definition and classification of power system stability IEEE/CIGRE joint task force on stability terms and definitions," IEEE Trans. Power Syst., vol. 19, no. 3, pp. 1387-1401, Aug. 2004. https://doi.org/10.1109/TPWRS.2004.825981
  2. . P. Kundur, "Power system stability and control," McGraw-Hill, 1994.
  3. N.G. Hingorani and L. Gyugyi, "Understanding FACTS: concepts and technology of flexible AC transmission systems," IEEE Press, New York, 2000.
  4. H.F. Wang, "A unified model for the analysis of FACTS devices in damping power system oscillations - Part III: unified power flow controller," IEEE Trans. Power Del., vol. 15, no. 3; pp. 978-983, 2000. https://doi.org/10.1109/61.871362
  5. B.T. Ooi, M. Kazerani, R. Marceau, Z. Wolanki, F.D. Galiana, D. McGillis, and G. Joos, "Mid-point sitting of FACTS devices in transmission lines," IEEE Trans. Power Del., vol. 12, no. 4, pp. 1717-1722, October 1997. https://doi.org/10.1109/61.634196
  6. M. Noroozian, L. Angquist, M. Ghandari, and G. Anderson, "Use of UPFC for optimal power flow control," IEEE Trans. Power Syst., vol. 12, no. 4, pp. 1629-1634, 1997. https://doi.org/10.1109/61.634183
  7. A. Nabavi-Niaki and M.R. Iravani, "Steady-state and dynamic models of unified power flow controller (UPFC) for power system studies," IEEE Trans. Power Syst., vol. 11, no. 4, p 1937, Nov. 1996. https://doi.org/10.1109/59.544667
  8. K.S. Smith, L. Ran, and J. Penman, "Dynamic modeling of a unified Power flow controller," IEE Proceedings-C, vol. 144, no. 1, p. 7, Jan. 1997.
  9. H.F. Wang, "Damping function of unified power flow controller," IEE Proceedings-C, vol. 146, no. 1, p. 81, Jan. 1999.
  10. H.F. Wang and F.J. Swift, "A unified model for the analysis of FACTS devices in damping power system oscillations Part I: Single-machine infinite-bus power systems," IEEE Trans. Power Del., vol. 12, no. 2, pp. 941-946, April 1997. https://doi.org/10.1109/61.584417
  11. E.V. Larsen, J.J. Sanchez-Gasca, J.H. Chow, "Concepts for design of FACTS controllers to damp power swings," IEEE Trans. Power Del., vol. 10, no. 2, pp. 948-956, May 1995. https://doi.org/10.1109/59.387938
  12. X.R. Chen, N.C. Pahalawaththa, U.D. Annakkage, C.S. Kumble, "Design of TCSC controllers to damp power swings by using eigenvalue analysis method, "IEEE/KTH Stockholm Power Tech. Conference, Stockholm, Sweden, pp.268-275, June 18-22 1995.
  13. E. Babaei, M. Hasan Nia Khabiri, "Determination of eigenvalues sensitivity-Based filter parameters using genetic algorithm," in Proc. 19th Iranian Conference on Electrical Engineering, 2011, Tehran, Iran (in Persian).
  14. E. Babaei and V. Hosseinnezhad, "A QPSO based parameters tuning of the conventional power system stabilizer," in Proc. IPEC, 2010, Singapore, pp. 467-471.
  15. D.E. Goldberg, "Genetic algorithms in search, optimization, and machine learning," Addison-Wesley, New York, 1989.
  16. E. Babaei, S. Galvani, and M. Ahmadi Jirdehi, "Design of robust power system stabilizer based on PSO," in Proc. 2009 IEEE Symposium on Industrial Electronics and Applications (ISIEA), 2009, Kuala Lumpur, Malaysia, vol. 1, pp. 325-330.
  17. L. Davis, "Handbook of genetic algorithms," Van Nostrand Reinhold, New York, 1991.
  18. R.L. Haupt and S.E. Haupt, "Practical genetic algorithms," John Wiley & Sons INC, 2004.
  19. PSO http://www.swarmintelligence.org/tutorials.php Tutorial
  20. A. Rezazadeh, M. Sedighzadeh, and A. Hasaninia,"Coordination of PSS and TCSC controller using modifiedparticle swarm optimization algorithm to improve powersystem dynamic performance," Journal of ZhejiangUniversity-SCIENCE C (Computers & Electronics).
  21. S. Khani, M. Sadeghi, and S.H. Hosseini, "Optimal design of SSSC damping controller to improve power system dynamic stability using modified intelligent algorithms," in Proc. PEDSTC, 2010, Iran, pp. 393-297.