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Decentralized coordination between active distribution network and multi-microgrids through a fast decentralized adjustable robust operation framework
Chen, Xiao1; Zhai, Junyi2; Jiang, Yuning3; Ni, Chenyixuan4; Wang, Sheng5; Nimmegeers, Philippe6,7,8
2023-06-01
Source PublicationSustainable Energy, Grids and Networks
ISSN2352-4677
Volume34Pages:101068
Abstract

Due to the autonomous characteristic and heterogeneity of the individual agents in active distribution network (ADN) with multi-microgrids (MMG), this paper proposes a fully decentralized adjustable robust operation framework achieving the coordinated operation between ADN and MMG. The improved linear decision rules (LDRs) based microgrid adjustable robust operation model is proposed to reduce the solution conservatism in dealing with renewable energy uncertainty. The LDRs model is then reformulated as a computationally tractable solution such that the proposed adjustable robust extension of decentralized operation can handle renewable energy uncertainty while reducing the computation burden of decentralized optimization. Then, a tailored fast alternating direction method of multipliers algorithm with a predictor–corrector type acceleration step is developed to improve the convergence rate of decentralized optimization. The effectiveness of the proposed model is validated on a modified IEEE 69-bus distribution system with four microgrids.

KeywordAdjustable Robust Optimization Decentralized Optimization Fast Alternating Direction Method Of Multipliers (Admm) Linear Decision Rules (Ldrs) Multi-microgrids (Mmg)
DOI10.1016/j.segan.2023.101068
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaEnergy & Fuels ; Engineering
WOS SubjectEnergy & Fuels ; Engineering, Electrical & Electronic
WOS IDWOS:001043207300001
Scopus ID2-s2.0-85161546536
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Citation statistics
Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorJiang, Yuning; Wang, Sheng
Affiliation1.North China Branch of State Grid Corporation of China, China
2.College of New Energy, China University of Petroleum (East China), China
3.Automatic Control Laboratory, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
4.Department of Electronic, Electrical and Systems Engineering, University of Birmingham, United Kingdom
5.State Key Laboratory of the Internet of Things for Smart City, University of Macau, Macao
6.Intelligence in Processes, Advanced Catalysts and Solvents (iPRACS), Faculty of Applied Engineering, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerp, Belgium
7.Environmental Economics (EnvEcon), Department of Engineering Management, Faculty of Business and Economics, University of Antwerp, Prinsstraat 13, 2000 Antwerp, Belgium
8.Flanders Make@UAntwerp, 2000 Antwerp, Belgium
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Chen, Xiao,Zhai, Junyi,Jiang, Yuning,et al. Decentralized coordination between active distribution network and multi-microgrids through a fast decentralized adjustable robust operation framework[J]. Sustainable Energy, Grids and Networks, 2023, 34, 101068.
APA Chen, Xiao., Zhai, Junyi., Jiang, Yuning., Ni, Chenyixuan., Wang, Sheng., & Nimmegeers, Philippe (2023). Decentralized coordination between active distribution network and multi-microgrids through a fast decentralized adjustable robust operation framework. Sustainable Energy, Grids and Networks, 34, 101068.
MLA Chen, Xiao,et al."Decentralized coordination between active distribution network and multi-microgrids through a fast decentralized adjustable robust operation framework".Sustainable Energy, Grids and Networks 34(2023):101068.
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