风电场实时数据处理与监测方法研究

Research on Real-Time Data Processing and Monitoring Methods of Wind Farms

随着可再生能源的快速发展,风电场在能源领域占据了重要的地位。风电场的运行数据监测与分析是确保风电场安全可靠运行的关键步骤。风速是风电场运行的关键参数之一。对于风速数据的监测来说,可以使用气象塔和杆塔上的风速传感器进行实时监测。通过统计学方法可以对风速数据进行分析,常用的方法有概率密度函数、累积分布函数以及频率分析方法。基于此,本文重点研究风电场实时数据处理与监测方法,以期为风电场运行提供有益的参考。

With the rapid development of renewable energy,wind farms occupy an important position in the energy field.The monitoring and analysis of wind farm operation data are the key steps to ensure the safe and reliable operation of wind farms.Wind speed is one of the key parameters for the operation of wind farms.For the monitoring of wind speed data,realtime monitoring can be carried out using wind speed sensors on meteorological towers and poles.Wind speed data can be analyzed by statistical methods,and the commonly used methods include probability density function,cumulative distribution function and frequency analysis method.Based on this condition,this paper focuses on the real-time data processing and monitoring methods of wind farms,so as to provide a useful reference for the operation of wind farms.