2 research outputs found
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