Research on Evaluation Method of Wind Farm Wake Energy Efficiency Loss Based on SCADA Data Analysis

Author:

Ma Kuichao12ORCID,Zhang Huanqiang3,Gao Xiaoxia3,Wang Xiaodong3,Nian Heng2,Fan Wei1

Affiliation:

1. Huadian Electric Power Research Institute Co., Ltd., Hangzhou 310030, China

2. College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China

3. School of Energy Power & Mechanical Engineering, North China Electric Power University, Beijing 102206, China

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.

Funder

Zhejiang Province Postdoctoral program

Research and Development Project of China Huadian Corporation Ltd.

Publisher

MDPI AG

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