An Improved Adaptive Inertia and Damping Combination Control of Virtual Synchronous Generator

• Published in: IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society pp. 1 - 6
• Main Authors: Shi, Qiguo, Du, Chunshui, Sun, Yongchao, Cai, Wenlu, Wang, Aiping, Chui, Dezheng
• Format: Conference Proceeding
• Language: English
• Published: IEEE 13.10.2021
• Subjects: Adaptation models; adaptive control; Damping; Industrial electronics; microgrid inverter; Microgrids; Stability analysis; Synchronous generators; Time-frequency analysis; virtual synchronous generator (VSG)
• DOI: 10.1109/IECON48115.2021.9589784

When the islanded microgrid is subject to a large power disturbance, the fixed-parameter virtual synchronous generator (VSG) control can provide inertia and damping for the system, but it cannot guarantee the frequency adjustment performance and the control flexibility is poor. To solve this problem, this paper proposes an improved adaptive virtual synchronous generator control strategy. In particular, the proposed method introduces the frequency deviation and frequency change rate into the VSG virtual parameters, adaptively adjusting the inertia and damping parameters of VSG system to improve the frequency stability of microgrid when power suddenly changed. Both MATLAB/Simulink simulation and hardware-in-the-loop results based on StarSim demonstrate the superiority of the proposed method compared with fixed-parameter VSG control.