@Article{ee.2026.083133,
AUTHOR = {Ruanming Huang, Yuchen Qi, Yaoliang Zhu, Chen Qian, Haojie Li, Bing Wang},
TITLE = {An Improved VSG Control Strategy for Wind Storage Combined System Oriented to Active Frequency Support},
JOURNAL = {Energy Engineering},
VOLUME = {},
YEAR = {},
NUMBER = {},
PAGES = {{pages}},
URL = {http://www.techscience.com/energy/online/detail/27383},
ISSN = {1546-0118},
ABSTRACT = {With the continuous expansion of installed capacity of renewable energy represented by wind power, modern power systems are increasingly characterized by high penetration of power electronics. This trend leads to reduced system inertia and compromised disturbance resilience, posing prominent challenges to frequency stability. Mainstream wind turbines operating in maximum power point tracking (MPPT) mode typically lack effective responses to system frequency fluctuations. Although conventional fixed-parameter virtual synchronous generator (VSG) technology can provide inertial support, it struggles to balance dynamic response speed and operational stability under variable operating conditions. To address these issues, this paper proposes an adaptive inertia and damping integrated VSG control strategy based on the synergy of fuzzy logic and particle swarm optimization (PSO), which is applied to grid-connected wind power systems with DC-side energy storage. Firstly, a combined wind-storage system model is established, integrating wind turbines, energy storage units, and converters. The overall control architecture is defined, including machine-side vector control, energy storage-based DC bus voltage regulation, and grid-side VSG control. Secondly, a small-signal model of the VSG is developed, and the root locus method is employed to analyze the influence of key parameters on system stability. Subsequently, a hierarchical parameter coordination strategy is developed, in which the virtual inertia is adjusted online by fuzzy logic to provide fast inertial support, while the damping coefficient is optimized offline by PSO to improve oscillation damping and steady-state recovery. Compared with adaptive VSG methods with simultaneous multi-parameter variation, the proposed online-offline coordinated design reduces the coupling risk between virtual inertia and damping coefficient and improves the dynamic frequency support capability of the wind-storage combined system. Finally, a simulation model of the wind-storage system is built on the MATLAB/Simulink platform. Simulation results demonstrate that, compared with traditional control strategies, the proposed method can significantly reduce frequency deviation and regulation time under conditions of sudden load changes and wind speed fluctuations. It effectively enhances the system’s active frequency support capability while maintaining the stability of the DC bus voltage, verifying its superior performance and engineering application potential. Furthermore, the proposed strategy provides a feasible active frequency support solution for wind-storage combined systems in high-renewable power grids, and its future applicability can be further verified through hardware-in-the-loop tests and experimental implementation under practical operating conditions.},
DOI = {10.32604/ee.2026.083133}
}