一种自主学习建立模型库的光伏功率预测方法  

A Photovoltaic Power Prediction Method Based on Independent Self-learning Model Base

作　　者：任立飞 赖晓路[1] 王永[1] REN Lifei;LAI Xiaolu;WANG Yong(Guodian Nanjing Automation Co.Ltd,Nanjing 210023,China)

机构地区：[1]国电南京自动化股份有限公司,南京210000

出　　处：《电工技术》2018年第4期74-77,共4页Electric Engineering

摘　　要：为了保障电力系统的稳定运行和合理的调度分配,提高预测系统的预测精度,提出一种自主学习建立气象模型库的光伏功率预测方法。介绍该方法的实现过程,并通过实例分析该方法的预测结果。In order to ensure the stable operation of power system and reasonable dispatch and distribution,a photovoltaic power prediction method based on self-learning and building meteorological model library was proposed.The implementation process of the method was introduced,and the prediction results of the method were analyzed by an example.

关 键 词：相似日 BP神经网络 光伏功率预测 气象模型 

分 类 号：TM615[电气工程—电力系统及自动化]