Active optimization method of wind farm operation parameters remote test equipment based on Data Mining

[摘要] The function of remote test equipment for wind farm operation parameters is complex, which requires timely and accurate equipment tuning in complex environment. In order to achieve the above requirements, an active optimization method of wind farm operation parameters remote test equipment based on data mining is proposed. Combined with the data mining technology, the remote test characteristic data of wind farm operation parameters are collected. In order to grasp the operation status of the equipment timely and accurately, the remote test equipment is used for dynamic adjustment, and the real-time data update model of remote test is established and installed. Finally, the experimental results show that the active tuning method based on data mining for wind farm operation parameters remote test equipment is significantly higher in the actual application process, and fully meets the research requirements.

[学科分类] 材料科学（综合）