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Distributed Energy Resource Coordination Over Time-Varying Directed Communication Networks
Yang, Tao1; Wu, Di2; Fang, Huazhen3; Ren, Wei4; Wang, Hong5; Hong, Yiguang6; Johansson, Karl Henrik7
2019-09-01
Source PublicationIEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
ISSN2325-5870
Volume6Issue:3Pages:1124-1134
AbstractIn this paper, we consider the optimal coordination problem for distributed energy resources (DERs), including distributed generators and energy storages. We first propose an algorithm based on the push-sum and gradient method to solve the optimal DER coordination problem in a distributed manner. In the proposed algorithm, each DER only maintains a set of variables and updates them through information exchange with a few neighboring DERs over a time-varying directed communication network. We show that the proposed distributed algorithm with appropriately chosen diminishing step sizes solves the optimal DER coordination problem if the time-varying directed communication network is uniformly jointly strongly connected. Moreover, in order to improve the convergence speed and to reduce the communication burden, we propose an accelerated distributed algorithm with a fixed step size. We show that the new proposed algorithm exponentially solves the optimal DER coordination problem if the cost functions satisfy an additional assumption and the selected step size is less than a certain critical value. Both proposed distributed algorithms are validated and evaluated using the IEEE 39-bus system.
KeywordDistributed coordination energy storage (ES) multiagent systems multistep optimization push-sum and gradient method smart grid
DOI10.1109/TCNS.2019.2921284
Language英语
Funding ProjectRalph E. Powe Junior Faculty Enhancement Award for the Oak Ridge Associated Universities ; National Science Foundation[CMMI-1763093] ; National Science Foundation[ECCS-1611423] ; National Natural Science Foundation of China[61733018] ; National Natural Science Foundation of China[61573344] ; Knut and Alice Wallenberg Foundation ; Swedish Research Council ; U.S. Department of Energy[DE-AC05-00OR22725] ; Department of Energy
WOS Research AreaAutomation & Control Systems ; Computer Science
WOS SubjectAutomation & Control Systems ; Computer Science, Information Systems
WOS IDWOS:000487200900019
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/35706
Collection系统科学研究所
Corresponding AuthorWu, Di
Affiliation1.Univ North Texas, Dept Elect Engn, Denton, TX 76203 USA
2.Pacific Northwest Natl Lab, Richland, WA 99352 USA
3.Univ Kansas, Dept Mech Engn, Lawrence, KS 66045 USA
4.Univ Calif Riverside, Dept Elect Engn, Riverside, CA 92521 USA
5.Oak Ridge Natl Lab, Oak Ridge, TN 37932 USA
6.Chinese Acad Sci, Inst Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China
7.KTH Royal Inst Technol, ACCESS Linnaeus Ctr, Sch Elect Engn, S-10044 Stockholm, Sweden
Recommended Citation
GB/T 7714
Yang, Tao,Wu, Di,Fang, Huazhen,et al. Distributed Energy Resource Coordination Over Time-Varying Directed Communication Networks[J]. IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS,2019,6(3):1124-1134.
APA Yang, Tao.,Wu, Di.,Fang, Huazhen.,Ren, Wei.,Wang, Hong.,...&Johansson, Karl Henrik.(2019).Distributed Energy Resource Coordination Over Time-Varying Directed Communication Networks.IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS,6(3),1124-1134.
MLA Yang, Tao,et al."Distributed Energy Resource Coordination Over Time-Varying Directed Communication Networks".IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS 6.3(2019):1124-1134.
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