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Economic Model Predictive Control for Microgrid Optimization: A Review

delete2024-01-01
delete14
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OA
AI
J
Jiefeng Hu *
Y
Yinghao Shan
杨勇 封面图
杨勇 (Yong Yang)
A
Alessandra Parisio
Y
Yong Li
N
Nima Amjady
S
Syed Islam
K
K.W.E. Cheng
J
Josep M. Guerrero
J
José Rodríguez
DOI:10.1109/TSG.2023.3266253delete
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摘要

摘要

En 中文
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.
Keyword:
Microgrids
renewable energy
model predictive control
energy management

期刊

IEEE Transactions on Smart Grid 封面图
IEEE Transactions on Smart Grid
IF:
9.8
论文数:
5.7K
被引数:
4.3W

机构

S
Southwest Jiaotong University
学者数:
2.9W
论文数: 2.1W
被引数: 2.3W
U
Universidad San Sebastian
学者数:
1.6K
论文数: 1.4K
被引数: 31
H
hong kong polytechnic university
学者数:
3.0W
论文数: 4.1W
被引数: 921
F
Federation University Australia
学者数:
2.0K
论文数: 2.3K
被引数: 17
D
Donghua University
学者数:
2.0W
论文数: 1.4W
被引数: 2.9W
U
University of Manchester
学者数:
5.7W
论文数: 5.3W
被引数: 7.4W
A
aalborg university
学者数:
1.6W
论文数: 1.7W
被引数: 22
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