Distributed Economic Model Predictive Load Frequency Control for the Multiarea Interconnected Power System With WTs

Abstract

This article considers the distributed economic model predictive control (DEMPC) scheme for addressing the load frequency control problem in a multiarea interconnected power system with wind turbines. The system is divided into multiple dynamically coupled subsystems, each subjected to state and control input constraints due to safety concerns. The overall optimal control problem is decomposed into several local optimal control problems based on the local information of each subsystem, meaning each area designs its own local DEMPC controller. Within this framework, the future state trajectories of neighboring subsystems are estimated from the transmitted information between neighbors. To enhance overall economic benefits, the economic stage cost, including load frequency regulation cost, fuel consumption cost, and wind generation cost, is incorporated into the cost function. Simulation results and analysis under different scenarios demonstrate potential improvements in computational burden, economic performance, and robustness of the designed DEMPC controller.