风电远程设备监控与故障诊断系统设计与应用

Design and Application of Remote Monitoring and Fault Diagnosis System for Wind Power Based on Cloud Computing

风电是一种清洁能源,在世界各国都有着良好的发展,以成熟的技术和先进的设备为支撑,风电的并网规模不断增大,在有效缓解电能供需矛盾的同时,也给发电企业运行的稳定性和安全性造成了一定影响。为了能够切实保障风电机组的正常运行,以云计算为支撑,设计了相应的风电远程设备监控与故障诊断系统,并就系统的功能结构进行了分析。实践结果显示,该系统能够实现对风电设备监控数据的高效分析,准确诊断设备故障,从而降低风电场的运营维护成本。

Wind power,a clean energy,has been developed greatly in the world.with mature technology and advanced equipment as the support,the scale of wind power grid is increasing.The wind power grid effectively alleviates the contradiction between power supply and demand;meanwhile,it has some negative impact on the stability and safety of the grid operation.In order to ensure the normal operation of wind turbines,a corresponding remote monitoring and fault diagnosis system for wind turbines is designed with the support of cloud computing,and the functional structure of the system is analyzed.The running results show that the system can effectively analyze the monitored data of wind power equipment and accurately diagnose the equipment faults,thus reducing the operation and maintenance cost of wind power farm.