Control of Virtual Synchronous Generator for Frequency Regulation Using a Coordinated Self-adaptive Method
Regular Papers|更新时间:2026-10-15
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Control of Virtual Synchronous Generator for Frequency Regulation Using a Coordinated Self-adaptive Method
CSEE Journal of Power and Energy SystemsVol. 10, Issue 1, Pages: 175-184(2024)
作者机构:
Key Laboratory of Tianjin Electric Power System Simulation and Control, School of Electrical and Information Engineering and Tianjin University,Tianjin,China
Hongwei Fang, Zhiwei Yu. Control of Virtual Synchronous Generator for Frequency Regulation Using a Coordinated Self-adaptive Method[J]. CSEE Journal of Power and Energy Systems, 2024, 10(1): 175-184.
DOI:
Hongwei Fang, Zhiwei Yu. Control of Virtual Synchronous Generator for Frequency Regulation Using a Coordinated Self-adaptive Method[J]. CSEE Journal of Power and Energy Systems, 2024, 10(1): 175-184.DOI: 10.17775/CSEEJPES.2020.01950.
Control of Virtual Synchronous Generator for Frequency Regulation Using a Coordinated Self-adaptive Method
Power inverter adopting virtual synchronous generator (VSG) control can provide inertia support for distributed generation systems. However
it cannot take into account the dynamic regulation characteristics of frequency. Thus
when the system encounters a sudden change in load or disturbance
the dynamic process of frequency regulation will be greatly influenced. In view of this issue
an improved VSG control strategy based on a coordinated self-adaptive (CSA) method is proposed. The time domain analysis method is used to study the influences of virtual inertia and damping parameter perturbation on the system steady and dynamic performances. Furthermore
in order to make the control strategy suitable for large load changes and suppress frequency variations beyond the limit
the secondary frequency modulation is introduced into the control loop. Through the coordinated adaptive control of virtual inertia
virtual damping and frequency modulation
the dynamic performance of VSG frequency regulation can be obviously improved. Simulation and experiment results have verified the effectiveness of the proposed CSA control strategy.