Summary of Research on Power Forecasting Technology of New Energy Generation

F. Yu, Cun Dong, Jiandong Jiang
{"title":"Summary of Research on Power Forecasting Technology of New Energy Generation","authors":"F. Yu, Cun Dong, Jiandong Jiang","doi":"10.1109/ACEEE.2019.8817045","DOIUrl":null,"url":null,"abstract":"At the same time as the rapid development of wind power and photovoltaic power generation, the phenomenon of abandoning wind and abandoning light has become increasingly serious. Increasing the accuracy of wind power and photovoltaic power generation prediction can effectively alleviate the occurrence of abandoned wind and abandoned light and it is of great significance for improving the power utilization rate of new energy generation. Based on the operating mechanism of new energy consumption, this paper expounds the impact of accurate new energy generation power forecasting on improving new energy consumption and reducing traditional fossil energy consumption; then taking wind farm as an example, this paper analyzes the main factors affecting the accuracy of short-term wind power prediction; finally, based on the above introduction, this paper summarizes the main methods and measures to improve the power prediction accuracy of new energy generation in the future.","PeriodicalId":6679,"journal":{"name":"2019 2nd Asia Conference on Energy and Environment Engineering (ACEEE)","volume":"22 1","pages":"49-53"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 2nd Asia Conference on Energy and Environment Engineering (ACEEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACEEE.2019.8817045","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

At the same time as the rapid development of wind power and photovoltaic power generation, the phenomenon of abandoning wind and abandoning light has become increasingly serious. Increasing the accuracy of wind power and photovoltaic power generation prediction can effectively alleviate the occurrence of abandoned wind and abandoned light and it is of great significance for improving the power utilization rate of new energy generation. Based on the operating mechanism of new energy consumption, this paper expounds the impact of accurate new energy generation power forecasting on improving new energy consumption and reducing traditional fossil energy consumption; then taking wind farm as an example, this paper analyzes the main factors affecting the accuracy of short-term wind power prediction; finally, based on the above introduction, this paper summarizes the main methods and measures to improve the power prediction accuracy of new energy generation in the future.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
新能源发电功率预测技术研究综述
在风电、光伏发电快速发展的同时,弃风弃光现象日益严重。提高风电和光伏发电预测的准确性,可以有效缓解弃风弃光现象的发生,对提高新能源发电的电力利用率具有重要意义。本文从新能源消费运行机制出发,阐述了准确的新能源发电功率预测对提高新能源消费、降低传统化石能源消费的影响;然后以风电场为例,分析了影响短期风电预测精度的主要因素;最后,在以上介绍的基础上,总结了未来提高新能源发电功率预测精度的主要方法和措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Sustainable Development: Drivers of Consumer Food Wasting Characteristics of CO2 Circulating Absorption by Sodium Humate and Potassium Carbonate Design of Biped Bionic Climbing Rod Robot with Obstacle Function Research on Integrating Wind Turbine into Intelligent IEC 61850 Substation Automation Research on Safety Monitoring Technology of Intelligent Substation Intranet
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1