Long-term generation expansion planning under uncertainties and fluctuations of multi-type renewables

Wu Shengyu, Cheng Lu, Yan Xiaoqing, Y. Bo
{"title":"Long-term generation expansion planning under uncertainties and fluctuations of multi-type renewables","authors":"Wu Shengyu, Cheng Lu, Yan Xiaoqing, Y. Bo","doi":"10.1109/POWERENG.2015.7266387","DOIUrl":null,"url":null,"abstract":"This paper introduces a generation expansion planning model for a system integrated with multi-type renewables, specifically wind and PV, covering their joint uncertainty and fluctuation characteristics. Statistical Residual Load Duration Curve (S-RLDC) is proposed to deal with the uncertainty characteristic, in which the technique of convolution in separate time domain is adopted. Wavelet decomposition is applied to reveal the fluctuation amplitude of renewables, and further to determine the flexible capacity requirement for mitigating this fluctuation. As a case study, an actual district in the northwestern part of China is employed.","PeriodicalId":334135,"journal":{"name":"2015 IEEE 5th International Conference on Power Engineering, Energy and Electrical Drives (POWERENG)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 5th International Conference on Power Engineering, Energy and Electrical Drives (POWERENG)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/POWERENG.2015.7266387","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14

Abstract

This paper introduces a generation expansion planning model for a system integrated with multi-type renewables, specifically wind and PV, covering their joint uncertainty and fluctuation characteristics. Statistical Residual Load Duration Curve (S-RLDC) is proposed to deal with the uncertainty characteristic, in which the technique of convolution in separate time domain is adopted. Wavelet decomposition is applied to reveal the fluctuation amplitude of renewables, and further to determine the flexible capacity requirement for mitigating this fluctuation. As a case study, an actual district in the northwestern part of China is employed.
多类型可再生能源不确定波动下的长期扩产规划
针对多类型可再生能源(风电和光伏)并网系统,提出了一种涵盖其联合不确定性和波动特性的扩容规划模型。提出了统计剩余负荷持续时间曲线(S-RLDC)来处理不确定特性,其中采用了分时域卷积技术。利用小波分解揭示可再生能源的波动幅度,进而确定缓解这种波动的灵活容量需求。以中国西北地区的一个实际地区为例进行研究。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信