Journal of Modern Power Systems and Clean Energy
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ISSN 2196-5625 CN 32-1884/TK
ISSN 2196-5625 CN 32-1884/TK
Dongran Song
School of Automation, Central South University, Changsha 410083, ChinaSongyue Zheng
School of Automation, Central South University, Changsha 410083, ChinaSheng Yang
School of Energy Science and Engineering, Central South University, Changsha 410083, ChinaJian Yang
School of Automation, Central South University, Changsha 410083, ChinaMi Dong
School of Automation, Central South University, Changsha 410083, ChinaMei Su
School of Automation, Central South University, Changsha 410083, ChinaYoung Hoon Joo
School of IT Information and Control Engineering, Kunsan National University, Kunsan 573701, Korea1.School of Automation, Central South University, Changsha 410083, China;2.School of Energy Science and Engineering, Central South University, Changsha 410083, China;3.School of IT Information and Control Engineering, Kunsan National University, Kunsan 573701, Korea
This work was supported by the National Natural Science Foundation of China (No. 61803393), the Natural Science Foundation of Hunan Province (No. 2020JJ4751), and the Basic Science Research Program through the National Research Foundation (NRF) of Korea funded by the Ministry of Education (No. NRF-2016R1A6A1A03013567).
This letter presents a systematic approach to estimate the annual energy production (AEP) of variable-speed wind turbines erected at high-altitude sites. Compared with the existing empirical-model based approaches, the proposed approach models the influence of the air density on the power production while employing the theoretical power curve. Consequently, the proposed approach provides a precise estimation of AEP, which can serve as a foundation of the optimum turbine-site matching design at different-altitude sites.
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