Inertia and feedback parameters adaptive control of virtual synchronous generator

TL;DR

This paper proposes an adaptive control strategy for virtual synchronous generators that enhances transient stability and performance, reduces power overshoot, and requires less energy storage, improving grid stability with new energy sources.

Contribution

It introduces a novel adaptive control method that shortens transient adjustment time and suppresses power overshoot, addressing limitations of traditional virtual synchronous generator controls.

Findings

Improved transient stability and frequency regulation.

Reduced power overshoot during transient response.

Superior performance compared to existing adaptive control methods.

Abstract

The virtual synchronous generator technology analogs the characteristics of the synchronous generator via the controller design. It improved the stability of the grid systems which include the new energy. At the same time, according to the adjustable characteristics of the virtual synchronous generator parameters, the parameter adaptive adjustment is used to improve the dynamic performance of the system. However, the traditional virtual synchronous generator adaptive control technology still has two drawbacks: on the one hand, the large-scale adjustment of the damping droop coefficient and the virtual moment of inertia requires the system having a high energy storage margin; On the other hand, there is a power overshoot phenomenon in the transient regulation process, which is disadvantageous to the power equipment. First, this paper provides a convenient adjustment method for improving the transient stability of the system, the system damping is adjusted by introducing the output speed feedback. Second, according to the transient power-angle characteristics of the system, a parameter adaptive control strategy is proposed, which shortens the transient adjustment time and ensures that the deviation of the system frequency in the transient adjustment process is within the allowable range, and improves the transient performance of the grid frequency adjustment, at the same time, the power overshoot is suppressed. Finally, the experimental results show that the proposed control strategy is superior to the existing adaptive control strategy.