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Article

Energy-Auditable Distributed Virtual Asynchronous Machine Control for Thermal-Energy-Storage-Based Virtual Energy Storage Systems

Department of Electrical Engineering, School of Information Science and Engineering, Northeastern University, Shenyang 110819, China
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Author to whom correspondence should be addressed.
Mathematics 2026, 14(15), 2859; https://doi.org/10.3390/math14152859
Submission received: 27 June 2026 / Revised: 24 July 2026 / Accepted: 4 August 2026 / Published: 6 August 2026
(This article belongs to the Section E2: Control Theory and Mechanics)

Abstract

Converter-dominated power systems increasingly require flexible resources that can support frequency while preserving a physically interpretable energy trajectory. Thermal-energy-storage (TES)-based virtual energy storage systems (VESSs) can shift electrical demand within thermal-energy and comfort constraints, and have therefore attracted extensive interest. However, existing studies commonly coordinate requested or normalized power without fully connecting it to actuator execution and the electrical-to-thermal energy path. Command-level sharing cannot be directly equated with executed physical power, and controller storage cannot be combined with joule-valued hardware energy without dimensional separation. Therefore, this paper proposes a physically coupled and energy-traceable virtual asynchronous machine (VAM) control method for TES-based VESSs. First, a loss-resolved averaged model establishes the point-of-common-coupling (PCC)–converter–DC-link–actuator–TES physical chain and separates the hardware Hamiltonian from the dimensionless control Lyapunov function. Second, a neighbor-coupled marginal controller is embedded in a command–projection–execution chain so that frequency regulation and weighted sharing are evaluated using the executed service. Third, a constraint-handling mechanism combines directional headroom gating, actuator saturation and ramp limits, thermal comfort bounds, and request-inactive state reset to maintain executable trajectories under the declared constraints. Simulations under a sustained 120kW disturbance show that primary-only control retains a 0.08883Hz steady-state offset, whereas the proposed nominal case restores frequency. In the constrained case, the 30 s terminal trend remains above the prescribed limit, while both terminal windows of the 60 s run satisfy the restoration criterion; the final-window mean error and dimensionless eligible-unit sharing spread are 6.317×105Hz and 6.564×105, respectively. The model-internal electrical–thermal balance achieves a dimensionless relative RMS residual of 6.2361×108. Because the PCC voltage/current pair is reconstructed from the same power source, this residual quantifies model-internal consistency rather than independent measured closure. These results demonstrate constrained frequency restoration, executed-power coordination, and energy traceability within the averaged-model scope.
Keywords: virtual asynchronous machine; thermal energy storage; neighbor-coupled secondary control; physical energy balance; energy traceability; DC-link energy; constrained power sharing virtual asynchronous machine; thermal energy storage; neighbor-coupled secondary control; physical energy balance; energy traceability; DC-link energy; constrained power sharing

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MDPI and ACS Style

Yang, W.; Wang, Y.; Guo, Y.; Zhang, R. Energy-Auditable Distributed Virtual Asynchronous Machine Control for Thermal-Energy-Storage-Based Virtual Energy Storage Systems. Mathematics 2026, 14, 2859. https://doi.org/10.3390/math14152859

AMA Style

Yang W, Wang Y, Guo Y, Zhang R. Energy-Auditable Distributed Virtual Asynchronous Machine Control for Thermal-Energy-Storage-Based Virtual Energy Storage Systems. Mathematics. 2026; 14(15):2859. https://doi.org/10.3390/math14152859

Chicago/Turabian Style

Yang, Wentao, Yibo Wang, Yuhan Guo, and Runze Zhang. 2026. "Energy-Auditable Distributed Virtual Asynchronous Machine Control for Thermal-Energy-Storage-Based Virtual Energy Storage Systems" Mathematics 14, no. 15: 2859. https://doi.org/10.3390/math14152859

APA Style

Yang, W., Wang, Y., Guo, Y., & Zhang, R. (2026). Energy-Auditable Distributed Virtual Asynchronous Machine Control for Thermal-Energy-Storage-Based Virtual Energy Storage Systems. Mathematics, 14(15), 2859. https://doi.org/10.3390/math14152859

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