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Data-Driven Passivity-Based Control Design for Modular DC Microgrids
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DOI：10.1109/TIE.2021.3065615.png)
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Abstract
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This article contains a new passivity-based control design approach for dc microgrids. The design is purely based on experimental data-bypassing the requirement of the network modeling. This approach permits the control of dc microgrids and preserve stability, despite of further interconnection of new passive loads and new passivity-based-controlled converters. This model-free approach generates control laws in a pure numerical way; bypassing the requirement of dealing with a high number of variables and equations that naturally appear in an increasingly complex dc microgrid. Experimental results are presented to corroborate the advantages of our approach.
Keywords:
Power system stability
Microgrids
Mathematical model
Data models
Stability criteria
Load modeling
Asymptotic stability
DC microgrids (DCMGs)
dc-dc power converters
data-driven control
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