基于大数据的风电远控系统采集数据与分析

Data Acquisition and Analysis of Wind Power Remote Control System Based on Big Data

为提高风电场选址准确性,优化风电场风电机组设备设计,基于风电远控系统采集的风况特性和风电机组设备特性数据,并借助大数据分析技术,对风电场风况和风电机组设备性能进行评估。结果表明,利用风电远控系统采集的风电场风速时间特性和风速湍流特性数据进行大数据分析,可验证风场选址的合理性,提高风电场选址准确性;利用风电远控系统采集的风电机组功率特性、风能吸收特性和风轮转矩与推力特性数据,可为风电场风电机组设备设计优化和合理选型提供理论依据,具有操作简单、易于实现的特点,可广泛应用于风电场风电机组设备性能综合评估。

In order to improve the accuracy of wind farm site selection and optimize the design of wind turbine equipment in wind farm,based on wind condition characteristics and wind turbine equipment characteristics data of data acquisition of wind power remote control system,and with the help of big data analysis technology,wind condition i and turbine performance are evaluated.The results show that big data analysis of wind farm wind speed time characteristics and wind speed turbulence characteristics collected by the wind power remote control system can verify the rationality of wind farm location and improve the accuracy of wind farm location.The turbine-related data such as power characteristics,wind energy absorption characteristics,turbine torque and thrust characteristics determined by the remote control system can provide theoretical basis for design optimization and reasonable selection of wind turbine equipment.The utilization of wind power remote control system has the characteristics of simple operation and easy implementation,and wide application potential in comprehensive evaluation of wind turbine equipment performance.