With the large-scale adoption of renewable energy generation such as wind and photovoltaic power, their inherent volatility and uncertainty caused by weather conditions pose significant threats to the safe and reliable operation of power grids. As an aggregator of distributed resources and a new market entity, virtual power plants can utilize advanced information communication technologies and software systems to achieve aggregation and coordinated optimization of distributed resources, thereby providing fast ramping services. To address the flexibility ramping requirements of power grids, this paper proposes a VPP fast ramping dispatch strategy based on a second-order consensus algorithm. According to the existing conditions of resource clusters within the VPP, the strategy enables the ramping rates of resource clusters to converge to a consensus under specific constraints, ensuring that the total ramping capacity of multiple resource clusters meets the ramping demand. A second-order consensus-based mathematical control model for VPPs is established, employing the ratio of current ramping rate to maximum ramping rate as the consensus operator. Case studies are conducted to verify the effectiveness of the pro?posed method.