基于物联网的风电自动预测系统

Automatic wind power forecasting system based on Internet of Things

因为受到全球模式提供的侧边界条件的限制,采用区域数值天气预报的风电预测,难以有效提高预测水平。利用我国的季风特性的空间相关性预测,在季风期间可以更有效地改善数值天气预报提供的预测结果。采用物联网,可以把风场观测、专用观测塔等得到的观测数据,通过无线和有线方式的广域网进行传送,实现和全国风电预测中心的交互。预期该网可以可靠提高风电预测的效果。

Regional numerical weather prediction （NWP） of wind power forecast is limited by the lateral boundary conditions provided by the global models,so it can not effectively improve the forecasting performance solely.The spatial correlation models can be used to improve numerical weather prediction results during the monsoon,because China has monsoon characteristics.The Internet of Things can effectively transmit the observations of wind farm,wind observing tower by wireless and wired wide area networks,and implement the interactions among the National Wind Power Prediction Center.It is expected that this network can reliably improve the performance of wind power forecasting.