LAPSE:2023.6704
Published Article
LAPSE:2023.6704
Accurate Peer-to-Peer Hierarchical Control Method for Hybrid DC Microgrid Clusters
February 24, 2023
Abstract
Hybrid DC microgrid clusters contain various types of converters such as BOOST, BUCK, and bidirectional DC/DC converters, making the control strategy complex and difficult to achieve plug-and-play. The common master−slave hierarchical control strategy makes it difficult to achieve accurate and stable system control. This paper proposes an accurate peer-to-peer hierarchical control method for the hybrid DC microgrid cluster, and the working principle of this hierarchical control method is analyzed in detail. The microgrid cluster consists of three sub-microgrids, where sub-microgrid A consists of three BUCK converters, sub-microgrid B consists of three BOOST converters, and sub-microgrid C consists of two bidirectional DC/DC converters. According to all possible operations of various sub-microgrids in the microgrid cluster, the top-, mid-, and bottom-level controls are designed to solve the coordination control problem among different types of sub-microgrids. In this paper, a hybrid microgrid cluster simulation model is built in the PLECS simulation environment, and an experimental hardware platform is designed. The simulation and experiment results verified the accuracy of the proposed control strategy and its fast plug-and-play regulation ability for the system.
Hybrid DC microgrid clusters contain various types of converters such as BOOST, BUCK, and bidirectional DC/DC converters, making the control strategy complex and difficult to achieve plug-and-play. The common master−slave hierarchical control strategy makes it difficult to achieve accurate and stable system control. This paper proposes an accurate peer-to-peer hierarchical control method for the hybrid DC microgrid cluster, and the working principle of this hierarchical control method is analyzed in detail. The microgrid cluster consists of three sub-microgrids, where sub-microgrid A consists of three BUCK converters, sub-microgrid B consists of three BOOST converters, and sub-microgrid C consists of two bidirectional DC/DC converters. According to all possible operations of various sub-microgrids in the microgrid cluster, the top-, mid-, and bottom-level controls are designed to solve the coordination control problem among different types of sub-microgrids. In this paper, a hybrid microgrid cluster simulation model is built in the PLECS simulation environment, and an experimental hardware platform is designed. The simulation and experiment results verified the accuracy of the proposed control strategy and its fast plug-and-play regulation ability for the system.
Record ID
Keywords
bidirectional DC/DC converter, BOOST converter, BUCK converter, DC microgrid, hierarchical control
Subject
Suggested Citation
Zhao E, Han Y, Zeng H, Li L, Yang P, Wang C, Zalhaf AS. Accurate Peer-to-Peer Hierarchical Control Method for Hybrid DC Microgrid Clusters. (2023). LAPSE:2023.6704
Author Affiliations
Zhao E: School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Han Y: School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China [ORCID]
Zeng H: School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Li L: China Academy of Engineering Physics, Mianyang 624900, China
Yang P: School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Wang C: School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Zalhaf AS: School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China; Electrical Power and Machines Engineering Department, Tanta University, Tanta 31511, Egypt [ORCID]
Han Y: School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China [ORCID]
Zeng H: School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Li L: China Academy of Engineering Physics, Mianyang 624900, China
Yang P: School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Wang C: School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Zalhaf AS: School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China; Electrical Power and Machines Engineering Department, Tanta University, Tanta 31511, Egypt [ORCID]
Journal Name
Energies
Volume
16
Issue
1
First Page
421
Year
2022
Publication Date
2022-12-29
ISSN
1996-1073
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PII: en16010421, Publication Type: Journal Article
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LAPSE:2023.6704
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https://doi.org/10.3390/en16010421
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Feb 24, 2023
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