A health condition assessment method of wind turbine generator system based on multiple turbines cooperation

Abstract

To improve the reliability and optimize the maintenance strategy of a large‐scale wind farm, a health condition assessment method of wind turbine generator system (WTGS) based on multiple turbines cooperation is presented in this paper. First, a health condition assessment framework is established by analyzing the existing monitoring characteristics of SCADA system. Second, to quantify the health condition of a WTGS, the concept of synthetic degradation factor is introduced and calculated using variable weight of assessment indices. Third, in order to acquire the health level of a WTGS effectively, based on the idea of multiple turbines cooperation, the health condition assessment model is proposed by utilizing the moving average method and quantile algorithm. Finally, by using SCADA monitoring data of a wind farm with 33 × 1.5 MW WTGSs including temperature, pressure, vibration, and so on; the processes of condition assessment are performed, and the effectiveness is also compared to a traditional assessment method with the fixed threshold. The results show that the condition assessment that utilizes the proposed method can acquire the change of health conditions and has a better coherence with real health conditions.

Log specification and intelligent analysis method based on oil and gas pipeline SCADA system

“…Literature [22] argues that the SCADA alarm system can effectively realize the data monitoring and collection of wind turbines, and when the wind turbine generates faults, it can promote the alarm in the form of single or multiple signals, which can accurately identify the source of the faults for the maintenance personnel, and reduce the economic losses brought by the faults of the wind turbine. Literature [23] constructed a wind turbine health assessment framework based on the data monitoring of the SCADA system and utilized the SCADA monitoring data of wind farms to assess the status of wind turbines and compare their effectiveness. The results show that the SCADA monitoring data can effectively achieve the health condition assessment of wind turbines and provide more reasonable wind turbine optimization and maintenance strategies for maintenance personnel.…”