Parameter Optimization Strategy of Energy Storage-Based Virtual Synchronous Generator Considering Inertial and Damping Coordination

In order to deal with the problem of insufficient inertia of renewable energy, the virtual synchronous generator (VSG) technology has been continuously developed. Although VSG provides inertia support for the system, the mismatch of inertia and damping parameters of VSG will also cause power oscillation and reduce angular stability of the system. Aiming at this, the influence mechanism of the inertia and damping parameters of the VSG on system stability is explained, and a parameter optimization strategy for VSG is proposed in this paper. Firstly, an objective function optimization model considering the inertia response and small signal stability of the system is established. The maximum value of the sum of the damping ratio of each oscillation mode and the minimum value of the system frequency deviation are selected as the objective function, and the stable interval of each control parameter is used as the constraint condition. Secondly, the non-dominated sorting genetic algorithms with elitist strategy (NSGA-II) is perform to solve the optimization problem. Finally, the 4-machine 2-area system integrated with 2 VSGs is used as the test system. The simulation results demonstrate the effectiveness of proposed parameter optimization strategy.