한국멀티미디어학회논문지 (Journal of Korea Multimedia Society)

  • 제25권8호
  • /
  • Pages.1097-1108
  • /
  • 2022
  • /
  • 1229-7771(pISSN)
  • /
  • 2384-0102(eISSN)
한국멀티미디어학회 (Korea Multimedia Society)
권호 표지
DOI QR코드

DOI QR Code

후류 영향 최적화 기반 실시간 풍력발전단지 발전 제어용 EMS의 설계 및 구현

Design and Implementation of EMS for Real-Time Power Generation Control of Wind Farm Based on Wake Effect Optimization

  • 투고 : 2022.08.11
  • 심사 : 2022.08.23
  • 발행 : 2022.08.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

This paper aimed to design and implement an EMS for real-time power generation control based on wake effect optimization of wind farm, and then to test it in commercial operating wind farm. For real-time control, we proposed the wake band-based optimization and setting the wake effect distance limit, and when the wake effect distance limit was set to 7D in the actual wind farm layout, the calculation time was improved by about 93.94%. In addition, we designed and implemented the script-based EMS for flexible operation logic management in preparation for unexpected issues during testing, and it was installed and tested on a wind farm in commercial operation. However, three issues arose during the testing process. These are the communication interface problem of meteorological tower, the problem of an abnormal wake effect, and the problem of wind turbine yaw control. These issues were solved by modifying the operation logic using EMS's script editor, and the test was successfully completed in the wind farm in commercial operation.

키워드

과제정보

This work was supported by the Industrial Technology Innovation Program of the Korea Institute of Energy Technology Evaluation and Planning(KETEP) granted financial resource from the Ministry of Trade, Industry & Energy, Republic of Korea (No. 20183010025170)

참고문헌

  1. J.F. Manwell, J.G. McGowan, and A.L. Rogers, Wind Energy Explained: Theory, Design, and Application, 2ed, Wiley, 2009.
  2. F. Porte-Agel, M. Bastankhah, and S. Shamsoddin, "Wind-Turbine and Wind-Farm Flows: A Review," Boundary-Layer Meteorology, Vol. 174, pp. 1-59, 2020. https://doi.org/10.1007/s10546-019-00473-0
  3. S. Jeon, Y. Go, B. Kim, and J. Huh, "Validation of the Eddy Viscosity and Lange Wake Models using Measured Wake Flow Characteristics Behind a Large Wind Turbine Rotor," Transactions of the Korean Society of Mechanical Engineers B, Vol. 40, No. 1, pp. 21-29, 2016. https://doi.org/10.3795/KSME-B.2016.40.1.021
  4. J. Park and K.H. Law, "Layout Optimization for Maximizing Wind Farm Power Production Using Sequential Convex Programming," Applied Energy, Vol. 151, pp. 320-334, 2015. https://doi.org/10.1016/j.apenergy.2015.03.139
  5. K. Yang, G. Kwak, K. Cho, and J. Huh, "Wind Farm Layout Optimization for Wake Effect Uniformity," Energy, Vol. 183, pp. 983-995, 2019. https://doi.org/10.1016/j.energy.2019.07.019
  6. H. Kim, W. Han, and S. Lee, "Wind Farm Layout Optimization Considering Dynamic Characteristic of Floating Wind Turbine," New & Renewable Energy, Vol. 15, No. 3, pp. 1-10, 2019.
  7. J.R. Marden, S.D. Ruben, and L.Y. Pao, "A Model-Free Approach to Wind Farm Control Using Game Theoretic Methods," IEEE Transactions on Control Systems Technology, Vol. 21, No. 4, pp. 1207-1214, 2013. https://doi.org/10.1109/TCST.2013.2257780
  8. P.M.O. Gebraad, F.C. van Dam, and J. van Wingerden, "A Model-Free Distributed Approach for Wind Plant Control," Proceeding of American Control Conference, pp. 628-633, 2013.
  9. Y. Kim, J. Lee, and Y. Kang, "Power Maximization Control of a Wind Power Plant," Proceeding of the Summer Conference of the Korean Institute of Electrical Engineers, pp. 1088-1089, 2014.
  10. J. Kim, I. Nam, S. Kang, and S. Jung, "A Study of Real-Time Simulation Based on Monte Carlo Method for Wind Farm Loss Reduction," The Transactions of the Korean Institute of Electrical Engineers, Vol. 70, No. 5, pp. 719-726, 2021. https://doi.org/10.5370/KIEE.2021.70.5.719
  11. H.M. Reyes, S. Kanev, B. Doekemeijer, and J. van Wingerden, "Validation of a Lookuptable Approach to Modeling Turbine Fatigue Loads in Wind Farms under Active Wake Control," Wind Energy Science, Vol. 4, 549-561, 2019. https://doi.org/10.5194/wes-4-549-2019
  12. J. Kang, K. Koh, K. Choi, and J. Park, "Study on a Limit MPPT Controller for the Modelling of a Wind Power Generator," Journal of the Korean Institute of Illuminating and Electrical Installation Engineers, Vol. 21, No. 5, pp. 53-59, 2007.
  13. J. Kim and S. Jung, "Design and Implementation of the Script-based EMS for Flexible Management of Stand-alone Microgrid," Journal of Korea Multimedia Society, Vol. 18, No. 10, pp. 1231-1240, 2015. https://doi.org/10.9717/KMMS.2015.18.10.1231
  14. N.O. Jensen, A Note on Wind Generator Interaction, Technical, Roskilde, Denmark, Riso National Laboratory, 1983.
  15. I. Katic, J. Hojstrup, and N.O. Jensen, "A Simple Model for Cluster Efficiency," European Wind Energy Association Conference and Exhibition, pp. 407-410, 1986.
  16. K. Ko, M. Park, and J. Huh, "An Analysis of Wake Effect in a Wind Farm," Journal of the Korean Society for Power System Engineering, Vol. 17, No. 2, pp. 13-20, 2013.
  17. S. Kim and S. Park, "Evaluation of Power Performance by Anemometer on WTGS," Journal of Sensor Science and Technology, Vol. 21, No. 4, pp. 303-310, 2012. https://doi.org/10.5369/JSST.2012.21.4.303
  18. R.F. Latif, S.I.A. Shah, and U. Rauf, "Analysis of Wind Turbine's Velocity Deficit, Recovery and Output Power Losses Using a Hybrid CFD-Jensen's Wake Model Scheme," 16th International Bhurban Conference on Applied Sciences and Technology (IBCAST), pp. 778-788, 2019.
  19. A. Jimenez, A. Crespo, and E. Migoya, "Application of a LES Technique to Characterize the Wake Deflection of a Wind Turbine in Yaw," Wind Energy, Vol. 13, pp. 559-572, 2010.
  20. J. Kim, Design and Implementation of EMS for Real-Time Maximum Power Generation Control of Wind Farm, Doctor's Thesis of Changwon University, 2022.