Meteorological Parameters Analysis for hourly Forecast of Electricity Generation by Photovoltaic Power Station on the Day Ahead

P.L ezhnyuk, V. Komar, S. Kravchuk, V. Lesko, V. Netrebskiy
{"title":"Meteorological Parameters Analysis for hourly Forecast of Electricity Generation by Photovoltaic Power Station on the Day Ahead","authors":"P.L ezhnyuk, V. Komar, S. Kravchuk, V. Lesko, V. Netrebskiy","doi":"10.1109/IEPS.2018.8559598","DOIUrl":null,"url":null,"abstract":"The paper presents an analysis of the mechanisms of functioning of the new model of the wholesale electricity market. According to this, the work of stations based on the using renewable energy sources (RSE), in particular photovoltaic power stations (PPS), should take place on the basis of the announced hourly generating graph by the owner of the station one day ahead. In order to ensure the accuracy of the predicted graph, a study was carried out on the determination of meteorological parameters that most affected the generation of electricity at photovoltaic power plants. Results of cluster and regression analysis were conducted on the basis of meteorological data, measured at the station located in the Vinnitsa region.","PeriodicalId":340150,"journal":{"name":"2018 IEEE 3rd International Conference on Intelligent Energy and Power Systems (IEPS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 3rd International Conference on Intelligent Energy and Power Systems (IEPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEPS.2018.8559598","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

The paper presents an analysis of the mechanisms of functioning of the new model of the wholesale electricity market. According to this, the work of stations based on the using renewable energy sources (RSE), in particular photovoltaic power stations (PPS), should take place on the basis of the announced hourly generating graph by the owner of the station one day ahead. In order to ensure the accuracy of the predicted graph, a study was carried out on the determination of meteorological parameters that most affected the generation of electricity at photovoltaic power plants. Results of cluster and regression analysis were conducted on the basis of meteorological data, measured at the station located in the Vinnitsa region.
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
光伏电站发电前一日逐时预报的气象参数分析
本文分析了电力批发市场新模式的运行机制。据此,利用可再生能源(RSE)的电站,特别是光伏电站(PPS)的工作,应根据电站所有者提前一天公布的小时发电量图进行。为了保证预测图的准确性,对光伏电站发电影响最大的气象参数的确定进行了研究。利用文尼察地区气象站实测的气象资料进行聚类分析和回归分析。
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
Mathematical Model, Research and Improvement of the Switched Reluctance Generator Voltage Stabilization Methods Analysis of Gas Content in High Voltage Equipment With Partial Discharges Intensification of Biogas Fermentation Processes in the Bioenergy System Analysis of Modern Geoinformation Systems for Renewable Energy Evaluating and Ensuring the Cybersecurity of Power Line Remote Monitoring Systems
×
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