考虑水电特性的周机组负荷分解方法

Chenjia Feng, Chengcheng Shao, S. Zhang, Yanan Wang, Ding Li
{"title":"考虑水电特性的周机组负荷分解方法","authors":"Chenjia Feng, Chengcheng Shao, S. Zhang, Yanan Wang, Ding Li","doi":"10.1109/ISGT-Asia.2019.8880876","DOIUrl":null,"url":null,"abstract":"With the development of hybrid power system, its unit commitment (UC) faces the problem of large scale and high complexity. This paper proposes an ADMM-based method to decompose the problem to smaller scale while obtaining the same result. Considering the cross day adjustment characteristic of hydro power, the UC through one week or longer period is broken down to each single day. By obtaining the scheduling solution and hydro power distribution plan alternatively and iteratively, the final solution with high precision can be determined. The case studies prove the effectiveness of the proposed method.","PeriodicalId":257974,"journal":{"name":"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"276 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Decompositon Method for Weekly Unit Commitment Considering Hydro Power Characteristics\",\"authors\":\"Chenjia Feng, Chengcheng Shao, S. Zhang, Yanan Wang, Ding Li\",\"doi\":\"10.1109/ISGT-Asia.2019.8880876\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the development of hybrid power system, its unit commitment (UC) faces the problem of large scale and high complexity. This paper proposes an ADMM-based method to decompose the problem to smaller scale while obtaining the same result. Considering the cross day adjustment characteristic of hydro power, the UC through one week or longer period is broken down to each single day. By obtaining the scheduling solution and hydro power distribution plan alternatively and iteratively, the final solution with high precision can be determined. The case studies prove the effectiveness of the proposed method.\",\"PeriodicalId\":257974,\"journal\":{\"name\":\"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)\",\"volume\":\"276 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISGT-Asia.2019.8880876\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISGT-Asia.2019.8880876","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

随着混合动力系统的发展,其机组承诺(UC)面临着规模大、复杂性高的问题。本文提出了一种基于admm的方法,在得到相同结果的情况下,将问题分解为更小的尺度。考虑到水电的跨日调节特性,将一周及以上时段的UC分解为每一天。通过交替迭代求解调度解和水电分配方案,可以得到精度较高的最终解。实例研究证明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Decompositon Method for Weekly Unit Commitment Considering Hydro Power Characteristics
With the development of hybrid power system, its unit commitment (UC) faces the problem of large scale and high complexity. This paper proposes an ADMM-based method to decompose the problem to smaller scale while obtaining the same result. Considering the cross day adjustment characteristic of hydro power, the UC through one week or longer period is broken down to each single day. By obtaining the scheduling solution and hydro power distribution plan alternatively and iteratively, the final solution with high precision can be determined. The case studies prove the effectiveness of the proposed method.
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
×
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