Model predictive control for load frequency control with wind turbines

Reliable load frequency (lfc) control is crucial to the operation and design of modern electric power systems. considering the lfc problem of a four-area interconnected power system with wind turbines,this paper presents a distributed model predictive control (dmpc) based on coordination scheme. the proposed algorithm solves a series of local optimization problems to minimize a performance objective for each control area. the scheme incorporates the two critical nonlinear constraints,for example,the generation rate constraint (grc) and the valve limit,into convex optimization problems. furthermore,the algorithm reduces the impact on the randomness and intermittence of wind turbine effectively. a performance comparison between the proposed controller with and that without the participation of the wind turbines is carried out. good performance is obtained in the presence of power system nonlinearities due to the governors and turbines constraints and load change disturbances. © 2015 yi zhang et al.