Distributed model predictive control method for virtual power plant in active distribution network environment

Abstract

The invention discloses a virtual power plant distributed model prediction control method under the active power distribution network environment, and belongs to the technical field of power system automatic control. A virtual power plant integral dynamic optimization model is established according to the distributed characteristic and the randomness characteristic of all energy resources; the integral dynamic optimization model is converted into subsystem models with all energy groups acting as main bodies according to the geographical distribution characteristics of all the distributed energy; and dynamic optimization of the output process of all the subsystem models is performed by adopting the distributed model prediction control method so that complexity of system optimization can be reduced and dynamic optimization configuration of the energy resources in a virtual power plant can also be realized.

Description

technical field [0001] The invention discloses a distributed model predictive control method of a virtual power plant under the environment of an active power distribution network, and belongs to the technical field of automatic control of electric power systems. Background technique [0002] With the large and extensive access of flexible loads in the active distribution network environment, the optimization problem of the distribution network system presents nonlinear and strong random coupling characteristics. In order to better control distributed energy resources scattered in different regions, The introduction of virtual power plant divides the original large-scale complex system into several subsystems, which greatly reduces the complexity of its optimal control. However, the general virtual power plant optimization method cannot fully consider the random characteristics of each distributed energy source in the virtual power plant, which makes the optimization results...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is aimed at the deficiency of the above-mentioned background technology, aiming at the characteristics of strong randomness, complexity and dynamic changes in the optimization model of the virtual power plant due to the existence of a large number of distributed energy resources, and provides an active power distribution system. The distributed model predictive control method of the virtual power plant in the network environment reduces the complexity of system optimization, realizes the dynamic optimization of the virtual power plant, and solves the problem that the optimization scheme that does not fully consider the randomness of distributed energy output is difficult to meet engineering needs and static The technical problem that the optimization scheme cannot meet the real-time scheduling requirements

Images