Solar irradiation forecasting using RBF networks for PV systems with storage

L. Ciabattoni, G. Ippoliti, S. Longhi, M. Cavalletti, M. Rocchetti
{"title":"Solar irradiation forecasting using RBF networks for PV systems with storage","authors":"L. Ciabattoni, G. Ippoliti, S. Longhi, M. Cavalletti, M. Rocchetti","doi":"10.1109/ICIT.2012.6210020","DOIUrl":null,"url":null,"abstract":"In this paper a Radial Basis Function (RBF) neural network is proposed to obtain the 24-hr forecast of the solar irradiation on the horizontal plane in the city of Ancona, Italy. This information is used to estimate the production of a PhotoVoltaic (PV) plant in order to provide the 'Gestore dei Servizi Energetici' (the main italian provider of energy services) with the power production profile of the next day. The company Energy Resources SPA has experimentally tested the proposed solution by a 14 KWp PV plant and a lithium battery pack. The battery pack is used to store the exceding power produced or to supply the lack of power compared with the reference.","PeriodicalId":365141,"journal":{"name":"2012 IEEE International Conference on Industrial Technology","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"34","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Conference on Industrial Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIT.2012.6210020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 34

Abstract

In this paper a Radial Basis Function (RBF) neural network is proposed to obtain the 24-hr forecast of the solar irradiation on the horizontal plane in the city of Ancona, Italy. This information is used to estimate the production of a PhotoVoltaic (PV) plant in order to provide the 'Gestore dei Servizi Energetici' (the main italian provider of energy services) with the power production profile of the next day. The company Energy Resources SPA has experimentally tested the proposed solution by a 14 KWp PV plant and a lithium battery pack. The battery pack is used to store the exceding power produced or to supply the lack of power compared with the reference.
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
基于RBF网络的储能光伏系统太阳辐射预测
本文提出了一种径向基函数(RBF)神经网络,对意大利安科纳市水平面上的24小时太阳辐射进行预报。该信息用于估算光伏(PV)工厂的产量,以便为“Gestore dei Servizi Energetici”(意大利主要的能源服务提供商)提供第二天的电力生产概况。Energy Resources SPA公司已经通过一个14千瓦时的光伏电站和一个锂电池组对该解决方案进行了实验测试。电池组用于存储所产生的超出功率或提供与参考相比的不足功率。
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
Development of static switch with high speed algorithm to fault detection Automatic detection of the truck position using stereoscopy Highlighting the effects of an active filter on the power supply lines of an electric locomotive, by using the PSCAD software Implementation of sensorless speed control for industrial material handling and processing applications based on short primary linear induction motor MAP estimation of two-sided gamma random vectors in AWGN
×
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