Low-Complexity Distributed Predictive Automatic Generation Control with Guaranteed Properties

An automatic generation control scheme for multiarea power systems is presented, based on the technique of distributed model predictive control. Local area controllers solve nested MPC problems in order to regulate states to steady values, and reject the disturbances induced by tie-line interactions. The approach achieves guaranteed constraint satisfaction, recursive feasibility of the MPC problems and stability, while maintaining on-line complexity similar to conventional MPC. A rigorous off-line design methodology is given for selecting controller parameters, and is demonstrated on an example 4-area system.