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dc.contributor.author Hu, Jiefeng
dc.contributor.author Shan, Yinghao
dc.contributor.author Yang, Yong
dc.contributor.author Parisio, Alessandra
dc.contributor.author Li, Yong
dc.contributor.author Amjady, Nima
dc.contributor.author Islam, Syed
dc.contributor.author Cheng, Ka Wai
dc.contributor.author Guerrero, Josep M.
dc.contributor.author Rodriguez, Jose
dc.date.accessioned 2026-02-08T03:10:39Z
dc.date.available 2026-02-08T03:10:39Z
dc.date.issued 2024-01-01
dc.identifier.issn 1949-3053
dc.identifier.uri https://repositorio.uss.cl/handle/uss/20159
dc.description Publisher Copyright: © 2010-2012 IEEE.
dc.description.abstract Microgrids have emerged as a promising solution to integrate distributed energy resources (DERs) and supply reliable and efficient electricity. The operation of a microgrid involves the coordination of different DERs and loads. To date, various control methods have been developed to maximize the overall benefit while satisfying various constraints. Now it is urgently needed to understand and comprehend these approaches to further stimulate the deployment of microgrids. This paper presents an overview for researchers on economic model predictive control (EMPC) methods of microgrids to achieve a variety of objectives such as cost minimization and benefit maximization. The fundamental principle of the EMPC theory is explained in detail. The most popular and important strategies applied to stand-alone microgrids, grid-connected microgrids, residential smart homes, as well as networked microgrids are discussed. Future trends are also highlighted. en
dc.language.iso eng
dc.relation.ispartof vol. 15 Issue: no. 1 Pages: 472-484
dc.source IEEE Transactions on Smart Grid
dc.title Economic Model Predictive Control for Microgrid Optimization : A Review en
dc.type Artículo
dc.identifier.doi 10.1109/TSG.2023.3266253
dc.publisher.department Facultad de Ingeniería


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