金晓航, 秦治伟, 郭远晶, 单继宏. 基于改进劣化度模型的风电机组日常运行状态评估[J]. 太阳能学报, 2023, 44(1): 239-246. DOI: 10.19912/j.0254-0096.tynxb.2021-0830
引用本文: 金晓航, 秦治伟, 郭远晶, 单继宏. 基于改进劣化度模型的风电机组日常运行状态评估[J]. 太阳能学报, 2023, 44(1): 239-246. DOI: 10.19912/j.0254-0096.tynxb.2021-0830
Jin Xiaohang, Qin Zhiwei, Guo Yuanjing, Shan Jihong. EVALUATION OF WIND TURBINES DAILY OPERATION CONDITIONS BASED ON IMPROVED DEGRADATION MODEL[J]. Acta Energiae Solaris Sinica, 2023, 44(1): 239-246. DOI: 10.19912/j.0254-0096.tynxb.2021-0830
Citation: Jin Xiaohang, Qin Zhiwei, Guo Yuanjing, Shan Jihong. EVALUATION OF WIND TURBINES DAILY OPERATION CONDITIONS BASED ON IMPROVED DEGRADATION MODEL[J]. Acta Energiae Solaris Sinica, 2023, 44(1): 239-246. DOI: 10.19912/j.0254-0096.tynxb.2021-0830

基于改进劣化度模型的风电机组日常运行状态评估

EVALUATION OF WIND TURBINES DAILY OPERATION CONDITIONS BASED ON IMPROVED DEGRADATION MODEL

  • 摘要: 为准确地掌握整台风电机组的运行状态,提出一种基于改进劣化度模型的评估方法。首先求得风电机组层次结构中各状态参数的劣化度;其次通过组合赋权法确定各参数的权重,利用岭型分布隶属度函数确定各参数的隶属度矩阵;最后利用模糊综合评判法和彩色图谱对机组的运行状态进行评估和展示。案例机组的日常运行状态评估表明:所提方法可较SCADA系统提前发现机组发电机非驱动端轴承的异常,且误报次数较少。

     

    Abstract: An improved degradation model is proposed to understand the operation conditions of wind turbines. Firstly,the degradation degree of each parameter in the hierarchical structure of wind turbine is calculated. Secondly,the weights of each state parameter and the parameter matrix are determined by an integrated method and the ridge type membership function respectively. Finally,the fuzzy comprehensive evaluation method and color images are used to evaluate and display the operating status of wind turbines. Results shows that the proposed method can detect the abnormal bearing at the non-drive end of wind turbine generator before the SCADA system,and the number of false alarms is less.

     

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