Improvement of reliability and wind power generation based on wind turbine real-time condition assessment

Abstract

To reduce the operation and maintenance (O&M) cost with optimized O&M strategy, this paper proposes a fuzzy synthetic method for real-time condition assessment of wind turbine gearbox (WTG). Firstly, a real-time condition assessment framework is proposed with statistical analysis and fuzzy mathematics. Then, the dynamic threshold value and variable weight are obtained to evaluate the operating status of the WTG, after filtering and statistical analysis of the data samples which came from two-month of running data of twenty-five wind turbines in 2017. Case studies are performed using 12 groups of actual monitoring data from 2 megawatts (MW) wind turbines with the proposed fuzzy synthetic method. Following this, this paper compares the proposed model to the traditional fuzzy assessment method. The results show that a strong correlation exists between variables and the condition assessment through the proposed method, which can be used to predict the practical operating status of the WTG more accurately, especially the potential failures.