Stochastic Unit Commitment Model Considering the Impact of Renewable Energy Policies

Miao Yang, Hongji Zhang, Tao Ding, Ning Mi, Xiaozhen Ma, Ning Qiao, Qiang Li, Hua Jing
{"title":"Stochastic Unit Commitment Model Considering the Impact of Renewable Energy Policies","authors":"Miao Yang, Hongji Zhang, Tao Ding, Ning Mi, Xiaozhen Ma, Ning Qiao, Qiang Li, Hua Jing","doi":"10.1109/ICPST56889.2023.10164860","DOIUrl":null,"url":null,"abstract":"In the context of the worldwide environmental problems, it has become a global consensus to increase the installed capacity and the consumption level of renewable energy resources. In recent years, many countries, including China, have proposed various renewable energy policies, such as establishing the carbon emission trading market and developing the renewable energy quota system. Besides, demand response programs have been raised to alleviate the carbon pressure on the system and increase renewable energy consumption. However, limited effort has been expanded in quantitatively analyzing the impact of various renewable energy policy factors on the consumption level of renewable energy resources. Furthermore, the volatility and stochasticity associated with the high penetration of renewable energy sources pose a great challenge to the operation and dispatch of power systems. To solve these problems, this paper proposes a stochastic unit commitment model considering the carbon emissions trading/ carbon emission permits (CET/CEP) policies, the renewable energy quota system, and the demand response. Numerical results show the validity of the proposed model.","PeriodicalId":231392,"journal":{"name":"2023 IEEE International Conference on Power Science and Technology (ICPST)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Conference on Power Science and Technology (ICPST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPST56889.2023.10164860","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In the context of the worldwide environmental problems, it has become a global consensus to increase the installed capacity and the consumption level of renewable energy resources. In recent years, many countries, including China, have proposed various renewable energy policies, such as establishing the carbon emission trading market and developing the renewable energy quota system. Besides, demand response programs have been raised to alleviate the carbon pressure on the system and increase renewable energy consumption. However, limited effort has been expanded in quantitatively analyzing the impact of various renewable energy policy factors on the consumption level of renewable energy resources. Furthermore, the volatility and stochasticity associated with the high penetration of renewable energy sources pose a great challenge to the operation and dispatch of power systems. To solve these problems, this paper proposes a stochastic unit commitment model considering the carbon emissions trading/ carbon emission permits (CET/CEP) policies, the renewable energy quota system, and the demand response. Numerical results show the validity of the proposed model.
考虑可再生能源政策影响的随机单元承诺模型
在全球环境问题日益突出的背景下,提高可再生能源装机容量和消费水平已成为全球共识。近年来,包括中国在内的许多国家都提出了各种可再生能源政策,如建立碳排放交易市场、发展可再生能源配额制度等。此外,还提出了需求响应方案,以减轻系统的碳压力,增加可再生能源的消耗。然而,在定量分析各种可再生能源政策因素对可再生能源消费水平的影响方面,开展的工作有限。此外,可再生能源的高度普及所带来的波动性和随机性对电力系统的运行和调度提出了巨大的挑战。为了解决这些问题,本文提出了考虑碳排放交易/碳排放许可(CET/CEP)政策、可再生能源配额制度和需求响应的随机单元承诺模型。数值结果表明了该模型的有效性。
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:481959085
Book学术官方微信