Economic Model Predictive Control for Microgrid Optimization: A Review

Jiefeng Hu; Yinghao Shan; Yong Yang; Alessandra Parisio; Yong Li; Nima Amjady; Syed Islam; Ka Wai Cheng; Josep M. Guerrero; José Rodríguez

doi:10.1109/TSG.2023.3266253

Economic Model Predictive Control for Microgrid Optimization: A Review

Jiefeng Hu, Yinghao Shan, Yong Yang, Alessandra Parisio, Yong Li, Nima Amjady, Syed Islam, Ka Wai Cheng, Josep M. Guerrero, José Rodríguez

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	1-1
Journal	IEEE Transactions on Smart Grid
Early online date	11 Apr 2023
DOIs	https://doi.org/10.1109/TSG.2023.3266253
Publication status	E-pub ahead of print - 11 Apr 2023

Keywords

Energy management
Energy storage
Generators
Load modeling
Microgrids
Renewable energy sources
Wind turbines
energy management
model predictive control
renewable energy

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Cite this

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title = "Economic Model Predictive Control for Microgrid Optimization: A Review",

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.",

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AU - Hu, Jiefeng

AU - Shan, Yinghao

AU - Yang, Yong

AU - Parisio, Alessandra

AU - Li, Yong

AU - Amjady, Nima

AU - Islam, Syed

AU - Cheng, Ka Wai

AU - Guerrero, Josep M.

AU - Rodríguez, José

PY - 2023/4/11

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KW - Energy management

KW - Energy storage

KW - Generators

KW - Load modeling

KW - Microgrids

KW - Renewable energy sources

KW - Wind turbines

KW - energy management

KW - model predictive control

KW - renewable energy

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Economic Model Predictive Control for Microgrid Optimization: A Review

Abstract

Keywords

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