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research article

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

Chen, Xiao
•
Zhai, Junyi
•
Jiang, Yuning  
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June 1, 2023
Sustainable Energy Grids & Networks

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/).

  • Details
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Type
research article
DOI
10.1016/j.segan.2023.101068
Web of Science ID

WOS:001043207300001

Author(s)
Chen, Xiao
Zhai, Junyi
Jiang, Yuning  
Ni, Chenyixuan
Wang, Sheng
Nimmegeers, Philippe
Date Issued

2023-06-01

Publisher

ELSEVIER

Published in
Sustainable Energy Grids & Networks
Volume

34

Article Number

101068

Subjects

Energy & Fuels

•

Engineering, Electrical & Electronic

•

Energy & Fuels

•

Engineering

•

multi-microgrids (mmg)

•

adjustable robust optimization

•

linear decision rules (ldrs)

•

decentralized optimization

•

fast alternating direction method of & nbsp

•

multipliers (admm)

•

combined heat

•

optimization

•

dispatch

•

systems

•

design

•

model

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LA3  
Available on Infoscience
August 28, 2023
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/200268
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