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http://dx.doi.org/10.7836/kses.2019.39.4.079

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

Paik, Chunhyun (Division of Industrial Convergence Systems Engineering, Dongeui University)
Publication Information
Journal of the Korean Solar Energy Society / v.39, no.4, 2019 , pp. 79-91 More about this Journal
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
Wind Power; Capacity Credit; Capacity Factors; ELCC(Effective Load Carrying Capability);
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Times Cited By KSCI : 2  (Citation Analysis)
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