DOI QR코드

DOI QR Code

Wind Speed Estimation using Regression Method for Maximum Power Control

리그레션 방법을 이용한 최대출력제어 풍속예측

  • Ko, SeungYoun (Faculty of Wind Energy Engineering Graduate School, Jeju National University) ;
  • Kim, Ho-Chan (Dept. of Electrical Eng., Jeju National University) ;
  • Huh, Jong-Chul (Dept. of Mechanical Eng., Jeju National University) ;
  • Kang, Min-Jae (Dept. of Electronics Eng., Jeju National University)
  • Received : 2015.03.18
  • Accepted : 2015.01.17
  • Published : 2015.08.25

Abstract

Wind turbines, in the case of less than rated wind speed, is controlled to achieve maximum power. MPC(Maximun Power Control) method, by controlling the rotational speed of the generator, is a method to achieve maximum power but should know the wind speed. However, for several reasons, there have been proposed methods of estimating the wind speed rather than measuring wind speed. TSR(Tip Speed Ratio) is needed to know to estimate the wind speed. However, a complex interaction formula has to be solved to find a TSR. Therefore, many methods have been suggested to solve a complex interaction formula. In this paper, the new method has been proposed to simplify the complicated interaction formula by using the regression method. Matlab/Simulink is used to simulate and to verify the proposed method.

풍력 터빈은 정격 풍속 미만일 때는 최대 출력을 내기위한 제어를 한다. MPC(Maximun Power Control)제어방법은 발전기의 회전속도를 제어하여 최대 출력을 내는 방법인데 풍속을 알아야한다. 하지만 여러 가지 이유로 풍속을 실측하기보다는 풍속을 예측하여 사용하는 방법들이 제안되고 있다. 풍속예측은 TSR(Tip Speed Ratio)을 알아야 하는 데, TSR은 복잡한 관계식을 풀어야 한다. 그래서 TSR을 구하기 위해 다양한 방법들이 소개되고 있다. 본 논문에서는 TSR을 쉽고 빠르게 구하기 위하여 복잡한 관계식을 리그레션을 이용하여 간단한 방정식으로 근사화하는 방법을 제안하였다. 제안된 방법은 Matlab/Simulink 시뮬레이션을 통하여 제대로 작동하는 것을 확인하였다.

Keywords

References

  1. Chul Soo Seo, Sang Ho Park, Jun Shin Lee, and Seung Tae Cha, "Offshore Wind Power Planning in Korea", Power Electronics and Applications, 2013
  2. SuHyeon Han and Hyun Woo Shin, "Policy Trends of Renewable Energy in Korea", 3rd International Conference on Renewable Energy Research and Applications, pp. 218-221, 2014
  3. Hui Li, K.L. Shi, P.G. McLaren, " Neural-Network-Based Sensorless maximum Wind Energy Capture With Compensated Power Coefficient", IEEE Transactions on Industry Applications, vol. 41, no. 6, pp. 1548-1556, 2005 https://doi.org/10.1109/TIA.2005.858282
  4. Dae-Sun Moon and Sung-Ho Kim "A Study on Wind Speed Estimation and Maximum Power Point Tracking scheme for Wind Turbine System", Korea Intelligent Information System Society, vol. 20, no. 6, pp. 852-857, 2010 https://doi.org/10.5391/JKIIS.2010.20.6.852
  5. Shibashis Bhowmik, Rene Spee and Johan H.R. Enslin, "Performance Optimization for Doubly Fed Wind Power Generation Systems", IEEE Transactions on Industry Applications, vol. 35, no. 4, pp. 949-958, 1999 https://doi.org/10.1109/28.777205
  6. Shibashis Bhowmik and Rene Spee, "Wind Speed Estimation Based Variable Speed Wind Power Generation", in Conf. Rec. IEEE IECON'98. Aachen, Germany, pp. 596-601, 1998
  7. Wei Qiao, Wei Zhou, Jose M. Aller, and Ronald G. Harley, "Wind Speed Estimation Based Sensorless Output Maximization Control for a Wind Turbine Driving a DFIG", IEEE Transactions on Power Electronics, vol. 23, no. 3, pp. 1156-1169, 2008 https://doi.org/10.1109/TPEL.2008.921185
  8. Yun-Soo Nam, "Wind Turbine System Control", Intervision, 2013
  9. J. Jonkman, S. Butterfield, W. Musial, and G. Scott, "Definition of a 5-MW Reference Wind Turbine for Offshore System Development", Technical Report NREL/TP-500-38060, 2009
  10. Abdullah M.A., Yatim A.H.M., Tan C.W., Saidur R., "A review of maximum power point tracking algorithms for wind energy systems" Renewable and Sustainable Energy Reviews, vol 16, pp 3220-3227, 2012 https://doi.org/10.1016/j.rser.2012.02.016
  11. Chris Skovgaard Hansen, Kristian Didriksen Lund, Nicklas Christensen and SeungYoun Ko "Operation of PMSG for Small Grid Connected Wind Turbine System with Maximum Power Point Tracking", Bachelor Project, Aalborg University, 2014