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Fuzzy Modeling and Robust Stability Analysis of Wind Farm based on Prediction Model for Wind Speed

풍속 예측모델 기반 풍력발전단지의 퍼지 모델링 및 강인 안정도 해석

  • Lee, Deogyong (Department of Water Resources Management, Gimje Campus of Korea Polytechnic V) ;
  • Sung, Hwa Chang (Department of Electrical and Electronics Engineering, Yonsei University) ;
  • Joo, Young Hoon (Department of Control and Robotics Engineering, Kunsan National University)
  • 이덕용 (한국폴리텍V대학 김제캠퍼스, 수자원관리과) ;
  • 성화창 (연세대학교 전기전자공학과) ;
  • 주영훈 (군산대학교 제어로봇공학과)
  • Received : 2013.08.13
  • Accepted : 2013.11.19
  • Published : 2014.01.01

Abstract

This paper proposes the fuzzy modeling and robust stability analysis of wind farm based on prediction model for wind speed. Owing to the sensitivity of wind speed, it is necessary to study the dynamic equation of the variable speed wind turbine. In this paper, based on the least-square method, the wind speed prediction model which is varied by the surrounding environment is proposed so that it is possible to evaluate the practicability of our model. And, we propose the composition of intelligent wind farm and use the fuzzy model which is suitable for the design of fuzzy controller. Finally, simulation results for wind farm which is modeled mathematically are demonstrated to visualize the feasibility of the proposed method.

Keywords

References

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  2. Static Output Feedback Control for Continuous T-S Fuzzy Systems vol.21, pp.6, 2015, https://doi.org/10.5302/J.ICROS.2015.15.0041
  3. Kalman filter-based wind speed estimation for wind turbine control vol.15, pp.3, 2017, https://doi.org/10.1007/s12555-016-0537-1