Decentralized coordination between active distribution network and multi-microgrids through a fast decentralized adjustable robust operation framework✩

被引:14
|
作者
Chen, Xiao [1 ]
Zhai, Junyi [2 ]
Jiang, Yuning [3 ]
Ni, Chenyixuan [4 ]
Wang, Sheng [5 ]
Nimmegeers, Philippe [6 ,7 ,8 ]
机构
[1] North China Branch State Grid Corp China, Beijing, Peoples R China
[2] China Univ Petr East China, Coll New Energy, Dongying, Peoples R China
[3] Ecole Polytech Fed Lausanne EPFL, Automatic Control Lab, Lausanne, Switzerland
[4] Univ Birmingham, Dept Elect Elect & Syst Engn, Birmingham, England
[5] Univ Macau, State Key Lab Internet Things Smart City, Macau, Peoples R China
[6] Univ Antwerp, Fac Appl Engn, Intelligence Proc Adv Catalysts & Solvents iPRACS, Groenenborgerlaan 171, B-2020 Antwerp, Belgium
[7] Univ Antwerp, Fac Business & Econ, Dept Engn Management, Environm Econ EnvEcon, Prinsstraat 13, B-2000 Antwerp, Belgium
[8] Flanders MakeUAntwerp, B-2000 Antwerp, Belgium
来源
基金
瑞士国家科学基金会;
关键词
Multi-microgrids (MMG); Adjustable robust optimization; Linear decision rules (LDRs); Decentralized optimization; Fast alternating direction method of; multipliers (ADMM); COMBINED HEAT; OPTIMIZATION; DISPATCH; SYSTEMS; DESIGN; MODEL;
D O I
10.1016/j.segan.2023.101068
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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.& COPY; 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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页数:12
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