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A Hybrid AC/DC Microgrid and Its Coordination Control

Xiong Liu, Peng Wang, Poh Chiang Loh·2011·IEEE Transactions on Smart Grid

Abstract

This paper proposes a hybrid ac/dc micro grid to reduce the processes of multiple dc-ac-dc or ac-dc-ac conversions in an individual ac or dc grid. The hybrid grid consists of both ac and dc networks connected together by multi-bidirectional converters. AC sources and loads are connected to the ac network whereas dc sources and loads are tied to the dc network. Energy storage systems can be connected to dc or ac links. The proposed hybrid grid can operate in a grid-tied or autonomous mode. The coordination control algorithms are proposed for smooth power transfer between ac and dc links and for stable system operation under various generation and load conditions. Uncertainty and intermittent characteristics of wind speed, solar irradiation level, ambient temperature, and load are also considered in system control and operation. A small hybrid grid has been modeled and simulated using the Simulink in the MATLAB. The simulation results show that the system can maintain stable operation under the proposed coordination control schemes when the grid is switched from one operating condition to another.

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Metadata

Authors
Liu, X., Wang, P., & Loh, P. C.
Venue
IEEE Transactions on Smart Grid
Published
2011-06
Volume
2
Issue
2
Pages
278-286
ISSN
  • 1949-3053 (ISSN-L)
  • 1949-3061
OpenAlex
W2144292666
Cited by
1,192
References
0
FWCI
83.24
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Hybrid AC/DC Microgrid and Its Coordination Control. https://app.cochat.ai/papers/10.1109/tsg.2011.2116162
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Liu, X., Wang, P., & Loh, P. C. (2011). A Hybrid AC/DC Microgrid and Its Coordination Control. IEEE Transactions on Smart Grid. https://doi.org/10.1109/tsg.2011.2116162

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.