基于网络服务器的光伏发电短期功率预测研究与应用

通过分析当前国内光伏发电工程的特点,提出一种基于网络服务器的光伏发电短期功率预测系统,充分利用现有监控终端的数据上传能力,结合多数据终端上传的海量数据优化智能算法。此预测系统可以为多个光伏监控系统分时复用,节约了硬件资源;同时预测软件根据其获得的多系统数据特点,利用不同光伏发电系统的数据进行交叉优化,有效提高了预测准确率。

Research and Application of the Short-Term Power PV Forecasts Based on Network Server

By analyzing the characteristics of the current domestic photovoltaic systems engineering,this paper presented a photovoltaic power short-term prediction system based on network server. By full use of the existing monitoring terminal data upload capability,combining with the actual data content and its intelligent algorithm,it forms an online forecasting system. This prediction system can be time-multiplexed for different PV monitoring system,and saves hardware resources; Theforecasting software effectively improves the accuracy of predictions based on the actual data collection features and different cross-optimized photovoltaic systems.