DOI QR코드

DOI QR Code

Analysis of Capacity Factors and Capacity Credits for Wind Turbines Installed in Korea

국내 풍력발전 설비의 이용률과 용량크레딧 분석

  • Paik, Chunhyun (Division of Industrial Convergence Systems Engineering, Dongeui University)
  • 백천현 (동의대학교 산업융합시스템공학부)
  • Received : 2019.06.17
  • Accepted : 2019.08.26
  • Published : 2019.08.30

Abstract

The capacity credit (CC) is a key metric for mid- to long-term power system capacity planning. The purpose of this study is to estimate the CCs of domestic wind turbines. Based on hourly capacity factor (CF) data during the seven years from 2011 to 2017, the new so-called probabilistic CF scheme is introduced to effectively reflect the variability of CFs on CC estimation. The CCs are then estimated through the CF-based method and the ELCC (Effective Load Carrying Capability) method reflecting the probabilistic CF scheme, and the results are compared. The results show that the CC value 0.019 for domestic wind turbines proposed in the $8^{th}$ Basic Plan for Electricity Supply and Demand corresponds to the CC with a confidence level slightly lower than 95%.

Keywords

References

  1. Ministry of Trade, Industry and Energy (MOTIE), The 8th Basic Plan of Long-Term Electricity Supply and Demand, Korea, 2018.
  2. Milligan, M. and Porter, K., The Capacity Value of Wind in the United States: Methods and Implementation, The Electricity Journal, Vol. 19, No. 2, pp. 91-99, 2006. https://doi.org/10.1016/j.tej.2005.12.010
  3. Milligan, M. and Porter, K., Determining the Capacity Value of Wind: An Updated Survey of Methods and Implementation, National Renewable Energy Laboratory (NREL), Tech. Rep. NREL/CP-500-43433, 2008.
  4. Madaeni, S. H., Sioshansi, R., and Denholm, P., Estimating the Capacity Value of Concentrating Solar Power Plants: A Case Study of the Southwestern United States, IEEE Trans. on Power Systems, Vol. 27, No. 2, pp. 1116-1124, 2012. https://doi.org/10.1109/TPWRS.2011.2179071
  5. Madaeni, S. H., Sioshansi, R., and Denholm, P., Comparing Capacity Value Estimation Techniques for Photovoltaic Solar Power, IEEE Journal of Photovoltaics, Vol. 3, No. 1, pp. 407-415, 2013. https://doi.org/10.1109/JPHOTOV.2012.2217114
  6. Dent, C. J., Keane, A., and Bialek, W., Simplified Methods for Renewal Generation Capacity Credit Calculation: A Critical Review, Proc. of IEEE Power and Energy Society General Meeting, 2010.
  7. Myung, H. S., Kim, H. C., Kang, N. H., Kim, Y. H., and Kimm S. H., Analysis of the Load Contribution of Wind Power and Photovoltaic Power to Power System in Jeju, Journal of the Korean Solar Energy Society, Vol. 38, No. 1, pp. 13-24, 2018. https://doi.org/10.7836/kses.2018.38.1.013
  8. Cho, H. J., Park, D. H., Park, J. B., and Kim, S. H., Comparison of Estimation Method of ELCC of Wind Power Generators, Proc. of Autumn Conference, KIIE, pp. 259-260, 2018.
  9. Son, S. E., Lee, J. H., and Park, M. H., The Estimation of Capacity Value of Wind Power in Korean Power System Using ELCC Method, Proc. of Conference, KIIE, pp. 304-305, 2014.
  10. Paik, C. H., Chung, Y. J., and Kim, Y. J., ELCC Approach for Calculating Capacity Credit of Wind Power in Korea, J. Korean Soc. Miner. Energy Resour. Eng., Vol. 54, No. 2, pp. 491-501, 2017. https://doi.org/10.12972/ksmer.2017.54.5.491
  11. Korea Energy Agency(KEA), New and Renewable Energy Statistics 2017, 2018.
  12. Kim, H. G., Kang, Y. H., and Kim, C. G., Analysis on of Wind Energy Status and Capacity Factor of South Korea by EPSIS Wind Power Generation Data, Journal of Wind Energy, Vol. 8, No. 2, pp. 21-27, 2017.
  13. Paik, C. H., Chung, Y. J., and Kim, Y. J., ELCC Capacity Factor-Based Approximation Approach for Calculating Capacity Credit of Solar Power in Korea, Journal of the Korean Solar Energy Society, Vol. 37, No. 5, pp. 13-26, 2017. https://doi.org/10.7836/kses.2017.37.5.013
  14. Gaver, L. L., Effective Load Carrying Capability of Generating Units, IEEE Trans. Power App. Syst, Vol. PAS-85, No. 8, pp. 910-919, 1966. https://doi.org/10.1109/TPAS.1966.291652
  15. Samadi, S. and Singh, C., Capacity Credit Evaluation of Solar Power Plants, 2014 IEEE PES General Meeting Conference & Exposition, 2014.
  16. Lu, S., Diao, R., Samaan, N., and Etingov, P., Capacity Value of PV and Wind Generation in the NV Energy System, U.S. Department of Energy, 2012.
  17. Lee, S. Y., 2008, Analysis of Engineering Statistical Data Using MINITAB, IREATECH.
  18. Wang, X. and McDonald, J. R., Modern Power System Planning, McGraw-Hill, International (UK) Ltd. UK, 480p, 1994.
  19. Korea Power Exchange, Electric Power Statistics Information System (EPSIS), http://epsis.kpx.or.kr/epsisnew/