Hybrid energy storage system optimization for improving wind power integration

The integration of wind energy in power system is limited by its intermittency and uncertainty, impeding exact prediction of power generation and formulation of accurate delivery plan. The adoption of energy storage systems may improve the production planning forecast. In this paper, a programming model of a hybrid energy storage system for a wind farm is proposed. In particular, the algorithm is aimed at coordinating a battery energy storage system as slow unit and a flywheel energy storage system as fast one, in order to compensate generation variation. Starting from a delivery plan, defined according to day-ahead market forecast to improve the revenue of the combined wind-storage system, the procedure evaluates the adjustments of the mismatch due to the short-term operation. The algorithm is implemented in MATLAB and applied to a real-sized wind farm.