Mixed Model Predictive Control/ Energy Function Control Design for Power Systems

Abstract

This paper develops a model predictive control (MPC) algorithm to control the field currents of generators incorporating them in a decentralized overall control scheme. MPC decisions are based on optimizing the control action in accordance with the predictions of an identified power system model so that the desired response is obtained. Energy Function based design provides good control for direct influence items such as SVC or series compensators and can be used to define the desired flux for generator. The approach here is to use the design flux for best system control as a reference for MPC for field control. The simulation result demonstrates that the combination of MPC and Energy function design is successful as a global field control approach.