Energy Management Strategy of Microgrids Based on Benders Decomposition Method

Conference paper

Zaree, N, Vahidinasab, V and Estebsari, A (2018). Energy Management Strategy of Microgrids Based on Benders Decomposition Method. 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). 12 - 15 Jun 2018 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/EEEIC.2018.8494507
AuthorsZaree, N, Vahidinasab, V and Estebsari, A
TypeConference paper
Abstract

© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

This paper discusses an optimal energy management system for microgrids, taking into account distribution power flow and dynamic loads, in presence of storage units and all associated constraints, aiming to reduce microgrid costs under two grid-connected and islanded modes. Getting the unit commitment, the microgrid energy management problem is introduced as a mixed integer nonlinear problem (MINLP). Since solving MINLP problems is complex and time consuming, a linearization technique is applied for simplification of the problem as a mixed integer linear programming (MILP) problem. Then, the Benders decomposition method is used to reach an efficient and accurate answer. The model proposed is implemented on a 14-bus microgrid including conventional and renewable distributed resources, storage units, and dynamic loads. The results indicated fair and fast performance of the proposed model.

KeywordsBenders decomposition; Energy management; Microgrid; Unit commitment
Year2018
JournalProceedings - 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Digital Object Identifier (DOI)https://doi.org/10.1109/EEEIC.2018.8494507
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Open
Publication dates
Print16 Oct 2018
Publication process dates
Accepted12 May 2018
Deposited13 May 2020
ISBN9781538651858
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https://openresearch.lsbu.ac.uk/item/89vz0

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