摘要
光伏发电功率预测对提高光伏发电并网系统调度质量有重要意义。通过建立基于BP神经网络的光伏发电预测模型,并创新性地提出将光伏组件环境清洁度作为模型输入因子,对光伏电站发电功率进行预测。采用新疆电力科学研究院光伏发电系统作为算例验证平台,证明了模型的有效性。
The photovoltaic power prediction is important to improve grid scheduling quality. The photovoltaic power forecasting model based on BP neural network is established herein to forecast the output of photovoltaic power station, in which, an innovative idea of taking photovo]taic component environment clearness as model input factor is proposed. The validity of model is proved by adopting the photovoltaic power system of Xinjiang Electric Power Research Institute as verification platform.
出处
《水力发电》
北大核心
2013年第7期100-102,共3页
Water Power
基金
新疆高技术支撑计划项目(201132116)
新疆科技支疆项目(201091204)
关键词
光伏发电
功率预测
神经网络
算例验证
photovoltaic power
power prediction
neural network
verification by example
