New & Renewable Energy (신재생에너지)

Korean Society for New and Renewable Energy (한국신·재생에너지학회)
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Prediction of Wind Power Generation at Southwest Coast of Korea Considering Uncertainty of HeMOSU-1 Wind Speed Data

HeMOSU-1호 관측풍속의 불확실성을 고려한 서남해안의 풍력 발전량 예측

  • 이기남 (군산대학교 해양산업공학과) ;
  • 김동현 (군산대학교 해양공학과) ;
  • 권오순 (한국해양과학기술원 연안 개발.에너지 연구부)
  • Received : 2014.02.19
  • Accepted : 2014.06.11
  • Published : 2014.06.25
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Abstract

Wind power generation of 5 MW wind turbine was predicted by using wind measurement data from HeMOSU-1 which is at south west coast of Korea. Time histories of turbulent wind was generated from 10-min mean wind speed and then they were used as input to Bladed to estimated electric power. Those estimated powers are used in both polynominal regression and neural network training. They were compared with each other for daily production and yearly production. Effect of mean wind speed and turbulence intensity were quantitatively analyzed and discussed. This technique further can be used to assess lifetime power of wind turbine.

Keywords

References

  1. HeMOSU-1, 2013, Marine Meteorological Tower Acquisition Data (2011.3.1. - 2012.12.31.), Korea Electric Power Corporation.
  2. Manwell, J.F., Rogers, A.L., McGowan, J.G., Bailey, B.H., 2002, "An offshore wind resource assessment study for New England", J. of Renewable Energy, Vol. 27, No. 2, pp. 175-187. https://doi.org/10.1016/S0960-1481(01)00183-5
  3. Kwon, S.D., 2008, "Assessment of Wind Energy Potential Based on Short-term Measurement", J. of Wind Engineering Institute of Korea, Vol. 12, No. 3, pp. 165-171.
  4. Ezzeldin, S., Abdin and Wilson Xu, 2000, "Control Design and Dynamic Performance Analysis of a Wind Turbine-Induction Generator Unit", IEEE Transactions on Energy Conversion, Vol. 15, pp. 91-96. https://doi.org/10.1109/60.849122
  5. IEC, 2005, "Wind turbine - Powre performance measurements of electricity producing wind turbines", IEC/61400-12-1.
  6. Kim, H.G., 2005, "Analysis of Wind shear Patterns and Application of Measure-Correlate-Predict at Pohang Region", J. of the Korean Society for New and Renewable Energy, Vol. 1, No. 2, pp. 26-33.
  7. Rogers, A.L., Rogers, J.W., Manwell, J.F., 2005, "Comparison of the performance of four measure-correlatepredict algorithms", J. of Wind Engineering and industrial aerodynamics, Vol. 93, pp. 243-264. https://doi.org/10.1016/j.jweia.2004.12.002
  8. Jonkman, J., Butter field, S., Musial, W., Scoot, G., 2009, "Definition of 5-MW Reference Wind Turbine for Offshore System Development", NREL/TP-500-38060.
  9. Ko, J.W., 2012, "An Accuracy Estimation of AEP Based on Geographic Characteristics and Atmospheric Variations in Northern East Region of Jeju Island", J. of the Korean Society of Surveying, Vol. 30, No. 3, pp. 295-303. https://doi.org/10.7848/ksgpc.2012.30.3.295
  10. Hyun, S.G., Ju, Y.C., Kim, K.H., 2012, "A study on the effect of wind turbulence intensity on the power performance of wind turbine system", J. of the Korean Solar Energy Society, Vol. 32, No.4, pp. 17-23. https://doi.org/10.7836/kses.2012.32.4.017

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