Energy storage photovoltaic power station collaborative adaptive inertia control based on droop and VSG

This article focuses on the research of VSG control in energy storage photovoltaic systems, analyzing the small signal modeling of VSG control in energy storage photovoltaic power plant systems. Successfully converted the small signal model into a time-domain model through mathematical derivation. An in-depth analysis was conducted on the impact of Virtual Synchronous Generator (VSG) parameters on system dynamic processes, elucidating the response mechanism of VSG to minor disturbances. On this basis, this article proposes an adaptive control strategy for VSG control parameters of energy storage photovoltaic systems. Automatically adjust VSG control parameters by monitoring and analyzing the system's operating status in real time. Empirical results demonstrate that this approach enhances the dynamic response of VSG frequency and active power, ensuring rapid and stable adaptation to diverse operational conditions. Research findings also reveal that the adopted control strategy substantially boosts the dynamic response capabilities of VSG frequency and active power, thereby enabling consistent and prompt reactions to fluctuating system demands.