Digital twin-enabled cooperative control for networked DC microgrids

Dai, Xiaoran, Liu, Guo-Ping, Lei, Zhongcheng, Hu, Wenshan and Zhou, Yiwei 2025. Digital twin-enabled cooperative control for networked DC microgrids. Presented at: ICRERA 2025, Vienna, Austria, 27-30 October 2025. 2025 14th International Conference on Renewable Energy Research and Applications. 2025 14th International Conference on Renewable Energy Research and Applications (ICRERA). IEEE, pp. 305-310. 10.1109/icrera66237.2025.11283875

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Abstract

The increasing deployment of distributed energy resources (DERs) and the growing demand for resilient power systems have positioned networked DC microgrids as critical infrastructure components for sustainable energy networks. However, traditional distributed control approaches for networked DC microgrids suffer from significant vulnerabilities to communication constraints, which may compromise voltage regulation, current sharing accuracy, and overall system stability. This paper presents a novel digital twin-enabled cooperative control framework that addresses these challenges. The proposed approach maintains virtual representations of neighboring DERs through continuously updated digital twin models, enabling robust coordinated operation even during communication constraints. The control framework operates through a multi-layered architecture consisting of physical control, digital twin management, communication assessment, and resilient coordination layers. The digital twin models are maintained through a modified recursive least squares algorithm with adaptive forgetting factors, while the cooperative controller employs consensus-based voltage and current sharing algorithms that seamlessly integrate real-time measurements with predicted neighbor information. Simulation results demonstrate that the proposed framework maintains stable bus voltage regulation within ±1% of the nominal value and achieves precise current sharing under a 200 ms communication delay.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Published Online
Status:	Published
Schools:	Schools > Engineering
Publisher:	IEEE
ISBN:	979-8-3315-9989-8
Last Modified:	05 Jan 2026 16:00
URI:	https://orca.cardiff.ac.uk/id/eprint/183557

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