2018
DOI: 10.3390/app8040590
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Energy Sharing for Interconnected Microgrids with a Battery Storage System and Renewable Energy Sources Based on the Alternating Direction Method of Multipliers

Abstract: In order to facilitate the local sharing of renewable energy, an energy sharing management method of multiple microgrids (MGs) with a battery energy storage system (BESS) and renewable energy sources (RESs) is developed. First, a virtual entity named the energy sharing provider (ESP), which acts as an agent for MGs, is introduced to minimize the power loss cost. Second, a distributed optimal model and a two-level iterative algorithm for the MGs and ESP are proposed, which minimize the total operation cost incl… Show more

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Cited by 13 publications
(6 citation statements)
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References 43 publications
(71 reference statements)
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“…ADMM is a strong algorithm which can efficiently solve convex optimization problems, and it can decompose the global problem into several smaller and easy-to-solve local subproblems [30]. Because of its fast processing speed and good convergence performance, ADMM has received tremendous interest and approval for solving numerous problems in machine learning, statistics, and signal processing [17,[31][32][33].…”
Section: Alternating Direction Methods Ofmentioning
confidence: 99%
“…ADMM is a strong algorithm which can efficiently solve convex optimization problems, and it can decompose the global problem into several smaller and easy-to-solve local subproblems [30]. Because of its fast processing speed and good convergence performance, ADMM has received tremendous interest and approval for solving numerous problems in machine learning, statistics, and signal processing [17,[31][32][33].…”
Section: Alternating Direction Methods Ofmentioning
confidence: 99%
“…e results revealed the importance of ESS in the microgrid operation system. Liu and Wang [71] investigated energy trading with national grid considering the operational cost.…”
Section: Literature Reviewmentioning
confidence: 99%
“…(1) The centralized approaches rely on a powerful central controller to process a huge mass of data and require two-way and high-bandwidth communication to work on the information gathered for the whole system [20,21]. Thus, solutions based on centralized approaches are costly to implement and are prone to single-point failures and modeling errors.…”
Section: Introductionmentioning
confidence: 99%