Research on Optimal Power Generation Allocation Scheme of DC Transmission Line under the Guidance of Carbon Peak and Carbon Neutralization Targets

Jing Zhang, Qianmao Zhang, Tianfeng Xu, Yuhan Liu, C. Gao
{"title":"Research on Optimal Power Generation Allocation Scheme of DC Transmission Line under the Guidance of Carbon Peak and Carbon Neutralization Targets","authors":"Jing Zhang, Qianmao Zhang, Tianfeng Xu, Yuhan Liu, C. Gao","doi":"10.1109/CIEEC54735.2022.9846354","DOIUrl":null,"url":null,"abstract":"After China clearly put forward the goal of carbon peak and carbon neutralization targets, the clean energy transformation has accelerated. Under the background of large-scale development of renewable energy, high-voltage DC (HVDC) and ultra-high voltage DC (UHVDC)transmission become more effective way to transmit the resources of renewable energy from rich areas such as northwest and southwest to economically developed areas such as North China and East China. It is an important means of realizing the optimal allocation of resources through long-distance power transmission. This paper proposes an optimal power allocation scheme for DC transmission lines, which takes the minimum grid power as the objective function, focusing on the constraints such as the proportion of renewable energy and power constraint rate. The scheme adds the calculation method of economic analysis and carbon emission level, which gives a better understanding for result selection. Finally, a case study is performed by using the proposed optimal power allocation scheme. Taking the typical daily output as an example, it can be seen that the scheme not only meets the load demand, but also improves the consumption level of renewable energy.","PeriodicalId":416229,"journal":{"name":"2022 IEEE 5th International Electrical and Energy Conference (CIEEC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 5th International Electrical and Energy Conference (CIEEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIEEC54735.2022.9846354","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

After China clearly put forward the goal of carbon peak and carbon neutralization targets, the clean energy transformation has accelerated. Under the background of large-scale development of renewable energy, high-voltage DC (HVDC) and ultra-high voltage DC (UHVDC)transmission become more effective way to transmit the resources of renewable energy from rich areas such as northwest and southwest to economically developed areas such as North China and East China. It is an important means of realizing the optimal allocation of resources through long-distance power transmission. This paper proposes an optimal power allocation scheme for DC transmission lines, which takes the minimum grid power as the objective function, focusing on the constraints such as the proportion of renewable energy and power constraint rate. The scheme adds the calculation method of economic analysis and carbon emission level, which gives a better understanding for result selection. Finally, a case study is performed by using the proposed optimal power allocation scheme. Taking the typical daily output as an example, it can be seen that the scheme not only meets the load demand, but also improves the consumption level of renewable energy.
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
碳峰值与碳中和目标指导下的直流输电线路最优发电分配方案研究
中国明确提出碳峰值目标和碳中和目标后,清洁能源转型加快。在可再生能源大规模发展的背景下,高压直流(HVDC)和特高压直流(UHVDC)输电成为西北、西南等资源丰富地区向华北、华东等经济发达地区输送可再生能源资源的更有效方式。远距离输电是实现资源优化配置的重要手段。本文针对可再生能源比例和电力约束率等约束条件,提出了一种以电网功率最小为目标函数的直流输电线路最优功率分配方案。该方案增加了经济分析和碳排放水平的计算方法,对结果的选择有了更好的理解。最后,对所提出的最优功率分配方案进行了实例分析。以典型日发电量为例,可以看出该方案既满足了负荷需求,又提高了可再生能源的消纳水平。
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
Bearing Fault Diagnosis Method Based on Transfer Ensemble Learning Design and implementation of monitoring and management system for battery energy storage A Dynamic Simulation Platform for Testing The Performance of Power Quality Management Devices in Distribution Networks Stochastic optimization scheme of power cost in intelligent community with energy storage Improved Frequency Response Model for Power System with Photovoltaic Generation
×
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