A Tube-Based Distributed MPC Based Method for Low-Carbon Energy Networks With Exogenous Disturbances

With the increasing integration of renewable energy into power systems, two key challenges emerge in low-carbon energy networks: the distributed topology resulting from distributed energy resources (DERs), and the fluctuations caused by the intermittency of renewable energy sources (RES). This paper proposes a distributed model predictive control (MPC) for the frequency regulation of low-carbon energy networks that encompass both conventional generators (including hydro and gas turbine power plants) and wind turbines. First, the cooperation based distributed model predictive controller of each subsystem accounts for the communication between the subsystems and global control objectives while the constraints are considered. Second, a tube-based controller containing two cascaded MPCs is proposed to deal with the system exogenous disturbance such as wind speed fluctuation. The simulation cases illustrate the efficiency and the advantages of the proposed method.