Grid‐Connected Control Strategy of Virtual Synchronous Generator Based on Variable Universe Fuzzy Adaptive Control

As the proportion of renewable energy sources continues to rise, the stability and reliability of the power system face enormous challenges. Virtual synchronous generators (VSGs) enhance grid stability by simulating conventional synchronous generator characteristics and providing virtual inertia and damping to the system. However, VSGs with fixed inertia and damping parameters are difficult to adapt to the complex and changing grid environment. To this end, this manuscript proposes an adaptive control strategy based on variable universe fuzzy control to realize the adaptive adjustment of VSG inertia and damping parameters. First, the mathematical model of VSG is established to analyze the influence of inertia and damping on the power–frequency characteristics of the system, and the variable universe fuzzy controller is designed based on the principle of parameter optimization to realize the real‐time optimal regulation of parameters. Second, model predictive current control (MPCC) is introduced to replace the traditional voltage and current PI regulation, and a novel three‐vector model predictive current control strategy (NTV‐MPCC) is proposed, which makes the synthesized voltage vector changeable in both amplitude and direction and effectively reduces harmonic distortion and current ripple. Finally, the effectiveness of the proposed control strategy is verified by simulation, which shows that the proposed method is able to improve the dynamic response capability, steady‐state performance, and current quality of the VSG system.