风电机组集群大数据平台应用存在的问题分析及解决方法

Analysis and Solution of Problems in Application of Wind Turbine Cluster Big Data Platform

介绍了大数据在风电企业应用中存在的风机状态判定和电量损失归类不准确以及风机系统各参数间关联价值挖掘不深入等问题,结合风电机组现场实际运行情况进行了原因分析,并提出提高风机状态判定的准确性、对大数据系统开发挂牌识别功能、优化电量损失的分类方式、深入挖掘风机系统各参数间的关联价值等建议,以有效提升大数据平台应用效能,发挥大数据对生产实践的技术支撑作用。

This paper introduces the problems existing in the application of big data in wind power enterprises,such as the inaccurate determination of wind turbine status and classification of power loss,and the lack of in-depth mining of the associated value among various parameters of the wind turbine system.Based on the actual operation of wind turbine units,the paper analyzes the causes,and proposes suggestions from the aspects of improving the accuracy of wind turbine status determination,developing the listing recognition function of big data system,optimizing the classification of power loss,and deeply mining the correlative value among various parameters of the wind turbine system,so as to effectively improve the application efficiency of the big data platform and play the technical support role of big data for production practice.