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Distributed accelerated descent algorithm for energy resource coordination in multi-agent integrated energy systems
Kou, Yu1; Wang, Yinghui2,3; Bie, Zhaohong1; Wang, Xu1; Ding, Tao1
2021-02-28
Source PublicationIET GENERATION TRANSMISSION & DISTRIBUTION
ISSN1751-8687
Pages13
AbstractComposed of multiple integrated energy systems (IESs) belonging to different stakeholders, multi-agent IESs (MA-IESs) are widely concerned because of data privacy protect. As the basis of planning design and reliability evaluation for MA-IESs, distributed energy resource coordination (DERC) problem is studied in this paper. First, a DERC model for MA-IESs is established, which considers energy conversion process specifically. Meanwhile, a novel distributed accelerated descent (DAD) algorithm is proposed to realize fully distributed solving. Different from most of the existing researches that investigate the DERC with box constraints, the presented algorithm is able to solve the DERC with general convex constraints. Moreover, the backward operators in the method improve the convergence rate to the best of distributed first-order optimization algorithm with fixed step size, O(1/T). Furthermore, the presented approach is initialization robustness when the load fluctuations suddenly happened in MA-IESs. The convergence property, computing, and communication complexity are strictly proved. Finally, the effectiveness of DERC model and DAD algorithm are demonstrated by some modified case studies.
DOI10.1049/gtd2.12142
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation ofChina[U1965103] ; NationalKey Research andDevelopment Program of China[2016YFB0901900]
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000624541100001
PublisherINST ENGINEERING TECHNOLOGY-IET
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/58300
Collection中国科学院数学与系统科学研究院
Corresponding AuthorBie, Zhaohong
Affiliation1.Xi An Jiao Tong Univ, Dept Elect Engn, State Key Lab Elect Insulat & Power Equipment, Xian 710049, Peoples R China
2.Univ Chinese Acad Sci, Sch Math Sci, Beijing, Peoples R China
3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Kou, Yu,Wang, Yinghui,Bie, Zhaohong,et al. Distributed accelerated descent algorithm for energy resource coordination in multi-agent integrated energy systems[J]. IET GENERATION TRANSMISSION & DISTRIBUTION,2021:13.
APA Kou, Yu,Wang, Yinghui,Bie, Zhaohong,Wang, Xu,&Ding, Tao.(2021).Distributed accelerated descent algorithm for energy resource coordination in multi-agent integrated energy systems.IET GENERATION TRANSMISSION & DISTRIBUTION,13.
MLA Kou, Yu,et al."Distributed accelerated descent algorithm for energy resource coordination in multi-agent integrated energy systems".IET GENERATION TRANSMISSION & DISTRIBUTION (2021):13.
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