Model predictive control for wind power generation smoothing with controlled battery storage based on a nonlinear battery mathematical model

Implementing battery energy storage system (BESS) in wind power plant reduces its fluctuation and hence makes this renewable energy resource more dispatchable. The aim of this paper is to design a controller based on model predictive control (MPC) theory along with a nonlinear battery energy storage model to smooth wind power output by controlled storage of the wind energy in battery with respect to use battery plant and battery constraints. The goal of the control is to use BESS maximally smoothing the output power dispatched to the grid while using forecasted wind power. The efficiency of this control strategy has been evaluated via simulation of an actual wind farm data.