With the increasing penetration of renewable energy, virtual power
plants reduce the impact on the power grid by integrating massive
distributed resources for unified management. However, the optimal
scheduling of a large number of distributed resources in virtual power
plants has become a new problem in recent years. Therefore, aiming at
the real-time optimal scheduling problem in the optimal scheduling of
virtual power plant, this letter regards the virtual power plant as a
multi-agent system, and proposes a novel real-time active power dispatch
scheme of virtual power plant based on distributed model predictive
control, so that each agent can not only calculate its own optimization
function relatively independently, but also fully refer to the neighbor
information. Simulation results show the feasibility and effectiveness
of the proposed method.