Dynamic Stability Analysis and Control of AC/DC Microgrids with Energy Storage Systems for Transient State Mitigation

Document Type : Research paper

Authors

1 Termez University of Economics and Service, Termez, Uzbekistan.

2 Tashkent State University of Economics, Tashkent, Uzbekistan.

3 Scientific Research Center "Scientific Foundations and Problems of the Development of the Economy of Uzbekistan "under Tashkent State University of Economics, Tashkent, Uzbekistan.

4 Tashkent State Technical University named after Islam Karimov, Tashkent, Uzbekistan.

5 Jizzakh Polytechnic Institute, Jizzakh, Uzbekistan.

6 Tashkent Institute of Irrigation and Agricultural Mechanization Engineers National Research University, Uzbekistan.

7 Urgench State University named after Abu Rayhan Biruni, Urgench, Uzbekistan.

Abstract

Modern AC/DC microgrids have undergone significant changes due to the increase in high-power loads and the development of energy storage systems. This paper presents a nonlinear dynamic modeling and control framework for a combined AC/DC microgrid incorporating a synchronous generator, a six-pulse rectifier, and an energy storage system (ESS). An ESS-based PI-controlled DC/DC converter is designed to regulate the DC-link voltage and mitigate transient disturbances. System stability is analytically assessed using the second Lyapunov method, providing a rigorous nonlinear stability guarantee under multiple disturbance scenarios. Time-domain simulations demonstrate that the proposed control strategy significantly improves transient performance, reducing DC-link voltage sag to below 6%, limiting overshoot to under 8%, and shortening settling time by more than 55% compared to the uncontrolled case. The results confirm the effectiveness of the proposed ESS-based control approach in enhancing the dynamic stability and robustness of hybrid AC/DC microgrids.

Keywords

Main Subjects

References

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Journal of Operation and Automation in Power Engineering
Volume 13, Special Issue
Intelligent and Sustainable Power Systems (ISPS): AI-Driven Innovations for Renewable Integration and Smart Grid Resilience
2025
Pages 17-28

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History

  • Receive Date: 27 November 2025
  • Revise Date: 23 December 2025
  • Accept Date: 25 December 2025
  • First Publish Date: 25 December 2025

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