Model predictive control of electricity market oriented wind farm dispatch with a battery energy storage system

Implementing battery energy storage system (BESS) in wind power plant provide an opportunity to the plant operator to make a balance between energy supply and demand in a profitable way. 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 manage the amount of energy which is generated and sold to the electricity market with respect to plant and battery constraints. The proposed control scheme follows a decision policy of selling more energy at high price regime and storing it when price is low in compliance with the electricity market pattern of Australia. The goal of the control is to maximize profit of selling energy dispatched to the grid while using BESS, given forecasted dispatch price and wind power. The efficiency of this control strategy has been evaluated in simulation enshrinement by applying to actual data taken from an Australian wind farm and NSW electricity market.