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Power Quality Control of Wind/Diesel Hybrid Power Systems Using Fuzzy PI Controller

퍼지 PI 제어기를 이용한 풍력/디젤 하이브리드 발전시스템의 품질제어

  • Yang, Su-Hyung (Multidisciplinary Graduate School Program for Wind Energy, Jeju National University) ;
  • Ko, Jung-Min (Multidisciplinary Graduate School Program for Wind Energy, Jeju National University) ;
  • Boo, Chang-Jin (Department of Electrical Engineering, Juju National University) ;
  • Kang, Min-Jae (Department of Electronic Engineering, Jeju National University) ;
  • Kim, Jeong-Uk (Department of Energy Grid, Sangmyung University) ;
  • Kim, Ho-Chan (Department of Electrical Engineering, Juju National University)
  • 양수형 (제주대학교 풍력특성화 협동과정) ;
  • 고정민 (제주대학교 풍력특성화 협동과정) ;
  • 부창진 (제주대학교 전기공학과) ;
  • 강민제 (제주대학교 전자공학과) ;
  • 김정욱 (상명대학교 에너지그리드학과) ;
  • 김호찬 (제주대학교 전기공학과)
  • Received : 2012.05.30
  • Accepted : 2012.09.17
  • Published : 2012.10.30

Abstract

This paper proposes a modeling and controller design approach for a wind-diesel hybrid system including dump load. Wind turbine depends on nature such as wind speed. It causes power fluctuations of wind turbine. Excessive power fluctuation at stand-alone power grid is even worse than large-scale power grid. The proposed control scheme for power quality is fuzzy PI controller. This controller has advantages of PI and fuzzy controller. The proposed model is carried out by using Matlab/Simulink simulation program. In the simulation study, the proposed controller is compared with a conventional PI controller. Simulation results show that the proposed controller is more effective against disturbances caused by wind speed and load variation than the PI controller, and thus it contributes to a better quality wind-diesel hybrid power system.

Keywords

References

  1. T. K. Lee et al., "An economic feasibility study on wind-diesel hybrid power systems for an island in the yellow sea,"Journal of Korean Navigation and Port Research,vol.35,no.5,pp. 381-385,2011. https://doi.org/10.5394/KINPR.2011.35.5.381
  2. Z. Chen and Y. Hu,"A hybrid generation system using variable speed wind turbines and diesel units," IEEE Industrial Electronics Society Annual Meeting Conference, Virginia, USA, vol.3, pp. 2729-2734, 2003
  3. A. M. O. Harunietal., "Dynamic operation and controlof a hybrid wind-diesel stand alone power systems," Proceedings of IEEE APEC, pp.162-169, 2010.
  4. K. Pandiaraj, P. Taylor, and N. Jenkins, "Distributed load control autonomous renewable energy systems," IEEE Trans. on Energy Conversion, vol. 16, pp. 14-19, 2001. https://doi.org/10.1109/60.911397
  5. G. S. Stavrakakis and G. N. Kariniotakis, "A general simulation algorithm for the accurate assessment of isolated diesel/wind turbines systems interaction: part 1: A general multimachine power system model," IEEE Trans. on Energy Conversion, vol.10, pp.577-583, 1995. https://doi.org/10.1109/60.464885
  6. S. H. Yang et al., "Power quality controlof wind-diesel hybrid power systems using fuzzy PI controller," International Conference on Manufacturing Science and Technology, New Delhi, India, 2012
  7. W. Li, "Design of a hybrid fuzzy logic proportional plus conventional integral-derivative controller," IEEETrans. on Fuzzy Systems, vol.6, no.4, pp. 449-463, 1998 https://doi.org/10.1109/91.728430
  8. H. S. Ko et al.,"Power quality control of hybrid wind power generation system using fuzzy-robust controller," LNCS, vol. 4985, pp. 127-136, 2008
  9. H. S. Ko et al.,"Power quality control of wind-hybrid power generation system using fuzzy-LQR controller," IEEE Trans. Energy Conversion, vol.22, no.2, pp. 516-527, 2007 https://doi.org/10.1109/TEC.2005.858092
  10. S. J. Kim and S. J. Seong, "A simple prediction model for PCC voltage variation due to active power fluctuation of grid connected wind turbine," Journal of Power Electronics, vol.9, no.1, pp. 85-92, 2009.
  11. L. H. Hansen, et al, Conceptual Survey of Generators and Power Electronics for Wind Turbines, Technical Report, Riso Nat. Lab., Denmark, 2001.
  12. S. S. Han et al.,"A study on the controller development depending load variation of a diesel generator for power system conncection of distributed source," Journal of the KIIEE, vol. 22, no.5, pp.53-57, 2008
  13. H. H. Lee et al.,"Sensorless MPPT control of a grid-connected wind power system using a neuro-fuzzy controller," The Trans. of Korean Institute of Power Electronics, vol. 16, no. 5, pp. 484-493, 2011. https://doi.org/10.6113/TKPE.2011.16.5.484
  14. C.-T. Lin and C. S. G. Lee, Neural Fuzzy Systems, CRC Press, 1996
  15. F. Iov, A. D. Hansen, P. Sorensen, and F. Blaabjerg, Wind Turbine Blockset in Matlab/Simulink, Aalborg University, 2004.