Dynamic Performance Enhancement of a Hybrid AC/DC PV–Wind Microgrid Through Coordinated Supercapacitor-Based Control

This study presents a hybrid AC/DC microgrid designed to reduce unnecessary power conversions between alternating current and direct current systems. The AC and DC networks are interconnected using bidirectional converters, allowing power to flow efficiently between them and reducing conversion loss...

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Bibliographic Details
Date:2026
Main Authors: Madhu , Bindu Priya, Umme , Salma
Format: Article
Language:English
Published: Institute of Renewable Energy National Academy of Sciences of Ukraine 2026
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Online Access:https://ve.org.ua/index.php/journal/article/view/618
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Journal Title:Vidnovluvana energetika
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Vidnovluvana energetika
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Summary:This study presents a hybrid AC/DC microgrid designed to reduce unnecessary power conversions between alternating current and direct current systems. The AC and DC networks are interconnected using bidirectional converters, allowing power to flow efficiently between them and reducing conversion losses. The proposed hybrid microgrid operates in two modes: grid-connected and autonomous. Renewable energy sources, loads, and energy storage devices are connected on both AC and DC sides based on their natural operating characteristics. The system is modeled and simulated using the MATLAB/Simulink environment to evaluate its dynamic performance under varying load and renewable generation conditions. A supercapacitor is coordinated with existing converters to provide fast transient power support, helping to stabilize the DC bus voltage during sudden disturbances and mode transitions. Simulation results show improved DC bus voltage regulation and smoother transitions between operating modes. The main contribution of this work is demonstrating that significant improvements in transient stability and DC bus voltage regulation can be achieved in hybrid AC/DC microgrids through the coordinated operation of existing converters and energy storage elements, without introducing new control algorithms. 
DOI:10.36296/1819-8058.2026.2(85).9-16