风电场风力风速预测中的长期趋势分析与预测方法研究  

Long Term Trend Analysis and Prediction Methods for Wind Speed Prediction in Wind Farms

作　　者：彭勃 谢坤 唐文 PENG Bo;XIE Kun;TANG Wen

机构地区：[1]广州发展新能源股份有限公司华中分公司,湖北武汉430000

出　　处：《电力系统装备》2024年第7期55-56,78,共3页Electric Power System Equipment

摘　　要：风力发电作为清洁能源的重要组成部分,其稳定可靠的发电能力对能源供应具有重要意义。然而,风能的可变性和不确定性给风电场的运行和管理带来了挑战。文章概述了长期趋势分析的理论基础,讨论了常用的预测方法和预测模型,并通过试验验证了基于深度学习的预测模型的准确性,以期为相关人员提供参考。As an important component of clean energy,wind power generation's stable and reliable power generation capacity is of great significance for energy supply.However,the variability and uncertainty of wind energy pose challenges to the operation and management of wind farms.The article outlines the theoretical basis of long-term trend analysis,discusses commonly used prediction methods and models,and verifies the accuracy of deep learning based prediction models through experiments,in order to provide reference for relevant personnel.

关 键 词：风电场风力 风速预测 深度学习 预测方法 

分 类 号：TM614[电气工程—电力系统及自动化]