电器与能效管理技术Issue(1)：69-74,81,7.DOI:10.16628/j.cnki.2095-8188.2019.01.012
基于神经网络的光储动态优化运行研究
Dynamic Planning Method for Photovoltaic Forecasting and Energy Storage System Operation Based on Neural Network Algorithm
摘要
Abstract
A dynamic optimization operation method based on neural network was proposed. First, the method of long and short memory neural network is used to predict the PV output, and then the load of one day is divided into four parts according to the power difference adjustment and PV output, and each part corresponds to a control strategy. Finally, the real-time optimization is carried out according to each control strategy. This method is of great significance for smoothing the output fluctuation of PV system and improving PV utilization rate, and also has certain effect of peak shaving and valley filling.关键词
光伏预测/储能系统/神经网络/动态优化Key words
photovoltaic prediction/energy storage/neural network/dynamic optimization分类
信息技术与安全科学引用本文复制引用
方陈,修晓青,周健,陈学良,王皓靖,黄华炜..基于神经网络的光储动态优化运行研究[J].电器与能效管理技术,2019,(1):69-74,81,7.基金项目
国网上海市电力公司科技项目(520940160027) （520940160027）
