School of Electrical Engineering, Southeast University, Nanjing 210096, China

The fixed-admittance model is widely used because of its high simulation efficiency in electromagnetic transient simulation. The derived parameterized fixed-admittance model can improve the transient performance through parameter configuration, and has a good effect in the single-inverter simulation. However, when the parameterized fixed-admittance model is applied to a multi-inverter system, the feasible region of the simulation parameter will change due to the coupling, which will affect the transient performance of the system and even lead to instability. Aiming at the above problem, a parameter adjustment strategy based on the fast genetic algorithm is proposed from the aspects of system stability and transient performance. The parameters of the inverters are optimized by the comprehensive objective of convergence speed, fluctuation and coupling degree, and the structure is optimized for the cross-initialization method. The instability problem of the simulation system is avoided and the transient performance is further improved. Finally, an example is given to verify that the simulation model for the multi-inverter system has the ability of adaptive parameter adjustment with high efficiency, and the simulation accuracy is better than the traditional fixed-admittance model.