Distributed Robust Model Predictive Control-Based Energy Management Strategy for Islanded Multi-Microgrids Considering Uncertainty

A microgrid is considered to be a smart power system that can integrate local renewable energy effectively. However, the intermittent nature of renewable energy causes operating pressure and additional expense in maintaining the stable operation by the energy management system in a microgrid. The st...

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Veröffentlicht in:IEEE transactions on smart grid Jg. 13; H. 3; S. 2107 - 2120
Hauptverfasser: Zhao, Zhuoli, Guo, Juntao, Luo, Xi, Lai, Chun Sing, Yang, Ping, Lai, Loi Lei, Li, Peng, Guerrero, Josep M., Shahidehpour, Mohammad
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Piscataway IEEE 01.05.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:1949-3053, 1949-3061
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Zusammenfassung:A microgrid is considered to be a smart power system that can integrate local renewable energy effectively. However, the intermittent nature of renewable energy causes operating pressure and additional expense in maintaining the stable operation by the energy management system in a microgrid. The structure of multi-microgrids provides the possibility to construct flexible and various energy trading framework. In this paper, in order to reduce the adverse effects of uncertain renewable energy output, a distributed robust model predictive control (DRMPC)-based energy management strategy is proposed for islanded multi-microgrids. This strategy balances the robustness and economy of single-microgrid system operation by combining the advantages of robust optimization and model predictive control, while coping with the uncertainty of renewable energy sources. Furthermore, a dynamic energy trading market is formed among microgrids, which can enhance the overall economy of the multi-microgrids system. Simulation results verify the feasibility of the proposed DRMPC strategy.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:1949-3053
1949-3061
DOI:10.1109/TSG.2022.3147370