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2019 Vol.39, Issue 4 Preview Page

Research Article

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

국내 풍력발전 설비의 이용률과 용량크레딧 분석

Chunhyun Paik1*
백 천현1*
1Division of Industrial Convergence Systems Engineering, Dongeui University, Professor
1동의대학교 산업융합시스템공학부, 교수
*Corresponding Author 
30 August 2019. pp. 79-91
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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 8th Basic Plan for Electricity Supply and Demand corresponds to the CC with a confidence level slightly lower than 95%.

Keywords
Wind Power
Capacity Credit
Capacity Factors
Effective Load Carrying Capability

키워드
풍력
용량크레딧
이용률
ELCC
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Information
  • Publisher :Korean Solar Energy Society
  • Publisher(Ko) :한국태양에너지학회
  • Journal Title :Journal of the Korean Solar Energy Society
  • Journal Title(Ko) :한국태양에너지학회 논문집
  • Volume : 39
  • No :4
  • Pages :79-91
  • Received Date : 2019-06-17
  • Revised Date : 2019-07-31
  • Accepted Date : 2019-08-26
  • DOI :https://doi.org/10.7836/kses.2019.39.4.079
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