Research on Inertia Lifting of New Power System Based on VSG Double Sagging Optimization Control

Abstract With the development of new energy sources, power grid inertia declines rapidly, which makes frequency adjustment ability and system stability poor. The virtual synchronous generator (VSG) uses a control algorithm to simulate generator, improves grid, but dynamic performance would likely be degraded. Moreover, optimal values pivotal parameters such as damping are difficult determine. Therefore, VSG optimization strategy double sagging neural network prediction is proposed can effectively enhance voltage safety system. Simulating characteristic equation small signal analysis model built, initial value J D completed. An artificial accomplished, weight adjusted change by analyzing learning operation. expected parameter gained after many times adaptive realized.