Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Distributed Secondary Frequency Restoration Control Based on Virtual Asynchronous Machines for Virtual Energy Storage Systems
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1College of Information Science and Engineering, Northeastern University, Shenyang 110819, China;2Foshan Graduate School of Innovation, Northeastern University, Foshan 528311, China;3School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China;4Department of Electrical Engineering, Tsinghua University, Beijing 100084, China;5School of Electrical & Automation Engineering, Nanjing Normal University, Nanjing 210023, China

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This work was supported by the National Natural Science Foundation of China (No. 52477076), in part by the Young Elite Scientists Sponsorship Program by CAST (No. YESS20230026), in part by the Key Laboratory of Technology and Equipment of Tianjin Urban Air Transportation System, Civil Aviation University of China, Tianjin, China (No. TJKL-UAM-202303), and in part by the State Key Laboratory of Power System Operation and Control (No. SKLD24KM20).

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    Abstract:

    Although virtual asynchronous machine (VAM) control has been proposed for virtual energy storage systems (VESSs), research into its secondary control applications is still limited. Thus, a distributed secondary frequency restoration control strategy based on VAMs is presented for VESSs. First, the VAM control is introduced, and a detailed electro-thermal coupling model of the VESS is developed. This model includes indoor-outdoor temperature differences, heat transfer through building envelope (walls, windows, and roof), solar radiations, ventilation losses, and electric boiler dynamics. It effectively captures the coupling between indoor temperature regulation and grid power balancing. Next, a distributed secondary frequency restoration control strategy based on VAM is proposed. It addresses parameter heterogeneity within a nonlinear multi-agent framework among VESSs. The nonlinear dynamics are converted into a linear reference model, which simplifies controller design and stability analysis. Using only local and neighboring information, the proposed strategy restores frequency and ensures active power sharing. Furthermore, the proposed strategy coordinates thermal power regulation to maintain indoor temperature balancing across VESSs within seasonal thermal comfort ranges. This improves thermal comfort without compromising dynamic response. Finally, the stability of the proposed strategy is verified using Lyapunov method, and simulation results from an islanded microgrid (MG) test system under parameter variations, communication imperfections, and winter/summer operating scenarios validate the effectiveness and robustness of the proposed strategy.

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History
  • Received:May 13,2025
  • Revised:August 08,2025
  • Adopted:
  • Online: May 27,2026
  • Published:
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