Research on Evaluation Method of Wind Farm Wake Energy Efficiency Loss Based on SCADA Data Analysis
Kuichao Ma,
Huanqiang Zhang (),
Xiaoxia Gao,
Xiaodong Wang,
Heng Nian and
Wei Fan
Additional contact information
Kuichao Ma: Huadian Electric Power Research Institute Co., Ltd., Hangzhou 310030, China
Huanqiang Zhang: School of Energy Power & Mechanical Engineering, North China Electric Power University, Beijing 102206, China
Xiaoxia Gao: School of Energy Power & Mechanical Engineering, North China Electric Power University, Beijing 102206, China
Xiaodong Wang: School of Energy Power & Mechanical Engineering, North China Electric Power University, Beijing 102206, China
Heng Nian: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Wei Fan: Huadian Electric Power Research Institute Co., Ltd., Hangzhou 310030, China
Sustainability, 2024, vol. 16, issue 5, 1-16
Abstract:
The large size of wind turbines and wind farm clustering aggravate the effect of wake on output power, resulting in a reduction in the economic benefits of wind farms. This paper took the actual operating turbines of an onshore wind farm in China as the research object and analyzed the influence of wake on energy efficiency loss by combining SCADA data. The research established a complete loss assessment method and proposed the corresponding evaluation criteria. The results showed that typical wind turbines seriously affected by wake accounted for 32.8% of the wind farm. The actual output power was only 84.2% of the theoretical output power at the lowest month, and the wake loss of the wind farm is serious. The economic efficiency of the wind farm is lower in the summer months (June–August). The study can provide a theoretical basis for the arrangement of wind farms and the development of an operation control strategy.
Keywords: wind power generation; wake effect; velocity deficit; output power loss; evaluation criteria (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/2071-1050/16/5/1813/pdf (application/pdf)
https://www.mdpi.com/2071-1050/16/5/1813/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:16:y:2024:i:5:p:1813-:d:1343837
Access Statistics for this article
Sustainability is currently edited by Ms. Alexandra Wu
More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().