DOI QR코드

DOI QR Code

A Design for a Fuzzy Logic based Frequency Controller for Efficient wind Farm Operation

풍력발전단지의 효율적 운영을 위한 퍼지로직 기반 주파수 제어기 설계

  • Kim, Se Yoon (School of Electronic and Information Engineering, Kunsan National University) ;
  • Kim, Sung Ho (Department of Control and Robotics Engineering, Kunsan National University)
  • 김세윤 (군산대학교 전자정보공학부) ;
  • 김성호 (군산대학교 제어로봇공학과)
  • Received : 2013.12.06
  • Accepted : 2014.01.11
  • Published : 2014.02.01

Abstract

Recently wind energy penetration into power systems has increased. Wind power, as a renewable energy source, plays a different role in the power system compared to conventional power generation units. As long as only single and small wind power units are installed in the power system, wind power does not influence power system operation and can easily be integrated. However, when wind power penetration reaches a significantly high level and conventional power production units are substituted, the impact of wind power on the power system becomes noticeable and must be handled. The connection of large wind turbines and wind farms to the grid has a large impact on grid stability. The electrical power system becomes more vulnerable to and dependent on wind energy production, and therefore there is an increased concern about the large wind turbines impact on grid stability. In this work, a new type of fuzzy logic controller for the frequency control of wind farms is proposed and its performance is verified using SimWindFarm toolbox which was developed as part of the Aeolus FP7 project.

Keywords

References

  1. S. I. Moon, "Reliability and grid operation problems of wind turbine system," The proceedings of the Korean Institute of Electrical Engineering (in Korean), vol. 56, no. 4, pp. 30-34, Apr. 2007.
  2. J. Hu, "Challenge and future for efficient grid-tied system operation," The proceedings of the Korean Institute of Electrical Engineering (in Korean), vol. 60, no. 3, pp. 16-22, Mar. 2011.
  3. Y. S. Jeon and Y. D. Choy, "A study on the optimal operation schemes for large-scale wind farm," Journal of The Korean Institute of Power Electronics (in Korean), vol. 14, no. 5, pp. 365-371, Oct. 2009.
  4. J. B An, "Standardization and development of low voltage micro-grid operation devices," SmatGrid Annual Report in 2011, vol. 1, no. 2, pp. 591-614, 2009.
  5. S. Y. Kim, S. H. Kim, "Design of fuzzy controller for frequency control of wind farm," Proc. of 2013 ICROS Jeonbuk-jeju Regional Conference (in Korean), pp. 254-258, Dec. 2013.
  6. D. S. Moon, S. K. Kim, and S. H. Kim, "A fault detection system for wind power generator based on intelligent clustering method," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 19, no. 1, pp. 27-33, Feb. 2013. https://doi.org/10.5302/J.ICROS.2013.19.1.027
  7. H. C. Sung, M. H. Tak, and Y. H. Joo "Robust fuzzy controller for mitigating the fluctuation of wind power generator in wind farm," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 19, no. 1, pp. 34-39, Feb. 2013. https://doi.org/10.5302/J.ICROS.2013.19.1.034
  8. D. Jacob, M. Soltani, and T. Knudsen, "Aeolus toolbox for dynamic wind farm model, simulation and control," NREL report, 2010.
  9. E. Cox, "Fuzzy fundamentals," IEEE Spectrum, vol. 29, no. 10, pp. 1-6, 2007.
  10. http://www.ict-aeolus.eu/SimWindFarm/index.htm