Data‐driven modeling for fatigue loads of large‐scale wind turbines under active power regulation-Reference-Cited by-同舟云学术

Data‐driven modeling for fatigue loads of large‐scale wind turbines under active power regulation

Author:

Yang Jian¹²,Zheng Songyue¹²^ORCID,Song Dongran¹²^ORCID,Su Mei¹²,Yang Xuebing³⁴,Joo Young Hoon⁵^ORCID

Affiliation:

1. School of Automation Central South University Changsha China

2. Hunan Provincial Key Laboratory of Power Electronics Equipment and Grid Changsha China

3. XEMC Wind Power Co., Ltd. Xiangtan China

4. State Key Laboratory of Offshore Wind‐power Technology and Testing Xiangtan China

5. School of IT Information and Control Engineering Kunsan National University Kunsan South Korea

Funder

National Natural Science Foundation of China

Science and Technology Program of Hunan Province

Innovation-Driven Project of Central South University

National Research Foundation of Korea

Publisher

Wiley

Subject

Renewable Energy, Sustainability and the Environment

Link

Reference42 articles.

1. Global Wind Energy Council.“Global wind report 2019 ” [On‐line]. Available:https://gwec.net/global-wind-report-2019/. Accessed: 25 March 2020.

2. Annual energy production estimation for variable‐speed wind turbine at high‐altitude site;Song D;J Mod Power Syst Clean Energy,2020

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