首页|期刊导航|湖南大学学报(自然科学版)|基于新型相似日选取和VMD-NGO-BiGRU的短期光伏功率预测

基于新型相似日选取和VMD-NGO-BiGRU的短期光伏功率预测OA北大核心CSTPCD

Short Term Photovoltaic Power Prediction Based on New Similar Day Selection and VMD-NGO-BiGRU

中文摘要英文摘要

光伏功率预测在现代电力系统调度和运行中起着重要作用.针对光伏发电功率的多变性和复杂性,提出了一种基于新型相似日选取和北方苍鹰算法(Northern Goshawk Optimization,NGO)优化双向门控循环单元(Bidirectional Gated Recurrent Unit,BiGRU)的短期光伏功率预测方法.首先,利用斯皮尔曼相关系数选取主要气象因子,通过变分模态分解(Variational Mode Decomposition,…查看全部>>

Photovoltaic power prediction plays an important role in the scheduling and operation of modern power systems.Aiming at the variability and complexity of photovoltaic power generation,a short-term PV power prediction method based on new similar day selection and northern Goshawk optimization(NGO)to optimize bidirec-tional gated recurrent unit(BiGRU)is proposed.The main meteorological factors are selected with the Spearman cor-relation coefficient,and the ori…查看全部>>

王瑞;张璐婷;逯静

河南理工大学 计算机科学与技术学院,河南 焦作 454000河南理工大学 计算机科学与技术学院,河南 焦作 454000河南理工大学 计算机科学与技术学院,河南 焦作 454000

动力与电气工程

光伏功率预测变分模态分解双向门控循环单元北方苍鹰算法

photovoltaic power predictionvariational mode decompositionbidirectional gated cycle unitnorthern Goshawk algorithm

《湖南大学学报(自然科学版)》 2024 (2)

68-80,13

国家自然科学基金资助项目(62273133),National Natural Science Foundation of China(62273133)河南省科技攻关项目(222102210120),Scientific and Technological Breakthrough Foundation of Henan province(222102210120)

10.16339/j.cnki.hdxbzkb.2024227

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