孟加拉国并网太阳能光伏系统发电模式的早期经验:SARIMA 分析

S. Aziz, S. Chowdhury
{"title":"孟加拉国并网太阳能光伏系统发电模式的早期经验:SARIMA 分析","authors":"S. Aziz, S. Chowdhury","doi":"10.1109/ICDRET54330.2021.9751794","DOIUrl":null,"url":null,"abstract":"The Engreen solar PV power plant at Shorishabari, Jamalpur, is the first large scale grid connected solar PV plant in Bangladesh, and has been operating for over three years. As the first PV plant of its type, it offers insights into the performance of grid connected solar PV in Bangladesh. In this study, we use the monthly data from the power plant for its operating life until the recent month, and the seasonal autoregressive integrated moving average (SARIMA) model to find out the generation trend of the plant. We find that monthly and seasonal differencing is required, and that the model (1,1,8) x (0,1,0)12 is the most suitable. We conduct a forecast for the model to predict electricity generation for the last eight months of our sample period, and find that the forecast traces the actual generation values, but without having the same extreme values. Further scope for research includes longer time series data as it becomes available in the future, and incorporating the effects of exogenous factors such as solar radiation, temperature and grid outages.","PeriodicalId":211114,"journal":{"name":"2021 6th International Conference on Development in Renewable Energy Technology (ICDRET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Early Experience of the Generation Pattern of Grid Connected Solar PV System in Bangladesh: A SARIMA Analysis\",\"authors\":\"S. Aziz, S. Chowdhury\",\"doi\":\"10.1109/ICDRET54330.2021.9751794\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Engreen solar PV power plant at Shorishabari, Jamalpur, is the first large scale grid connected solar PV plant in Bangladesh, and has been operating for over three years. As the first PV plant of its type, it offers insights into the performance of grid connected solar PV in Bangladesh. In this study, we use the monthly data from the power plant for its operating life until the recent month, and the seasonal autoregressive integrated moving average (SARIMA) model to find out the generation trend of the plant. We find that monthly and seasonal differencing is required, and that the model (1,1,8) x (0,1,0)12 is the most suitable. We conduct a forecast for the model to predict electricity generation for the last eight months of our sample period, and find that the forecast traces the actual generation values, but without having the same extreme values. Further scope for research includes longer time series data as it becomes available in the future, and incorporating the effects of exogenous factors such as solar radiation, temperature and grid outages.\",\"PeriodicalId\":211114,\"journal\":{\"name\":\"2021 6th International Conference on Development in Renewable Energy Technology (ICDRET)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 6th International Conference on Development in Renewable Energy Technology (ICDRET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDRET54330.2021.9751794\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 6th International Conference on Development in Renewable Energy Technology (ICDRET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDRET54330.2021.9751794","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

位于贾马尔布尔 Shorishabari 的 Engreen 太阳能光伏电站是孟加拉国第一座大规模并网太阳能光伏电站,已运营三年多。作为首个同类光伏电站,它为了解孟加拉国并网太阳能光伏电站的性能提供了参考。在本研究中,我们使用了该电站从运营到最近一个月的月度数据,并使用季节性自回归综合移动平均(SARIMA)模型找出了该电站的发电趋势。我们发现需要进行月度和季节差分,而 (1,1,8) x (0,1,0)12 模型最为合适。我们对模型进行了预测,以预测样本期最后 8 个月的发电量,结果发现预测值与实际发电量相符,但没有出现相同的极端值。进一步的研究范围包括未来获得更长的时间序列数据,以及纳入太阳辐射、温度和电网中断等外生因素的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Early Experience of the Generation Pattern of Grid Connected Solar PV System in Bangladesh: A SARIMA Analysis
The Engreen solar PV power plant at Shorishabari, Jamalpur, is the first large scale grid connected solar PV plant in Bangladesh, and has been operating for over three years. As the first PV plant of its type, it offers insights into the performance of grid connected solar PV in Bangladesh. In this study, we use the monthly data from the power plant for its operating life until the recent month, and the seasonal autoregressive integrated moving average (SARIMA) model to find out the generation trend of the plant. We find that monthly and seasonal differencing is required, and that the model (1,1,8) x (0,1,0)12 is the most suitable. We conduct a forecast for the model to predict electricity generation for the last eight months of our sample period, and find that the forecast traces the actual generation values, but without having the same extreme values. Further scope for research includes longer time series data as it becomes available in the future, and incorporating the effects of exogenous factors such as solar radiation, temperature and grid outages.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Fast Power Reaching Law-Based Robust Integral Sliding Mode Controller Design for Maintaining Power-Sharing in DC Microgrids Impact of Solar PV Panel Cleaning Frequency on the Performance of a Rooftop Solar PV Plant Copyright Development of a Priority-based Load Management System to Address Variability in RE Power Injection in National Grid ICDRET 2021 Program Schedule
×
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