A power storage system planning model for the Wolfe Island wind farm

Abstract

As one of the alternatives to conventional energy sources, wind power is a fast-growing renewable technology. The intermittent characteristic of wind speed leads to unstable wind power production; therefore, a storage system is typically needed at wind power farms to stabilize the power output. This project aims to develop a power storage system planning model to optimize the power transfer between wind turbines and storage devices on an hourly basis to stabilize power output and maximize annual net earnings. The developed model utilizes the dynamic programming technique, and it is applied to a case study of the Wolfe Island Wind Farm in Ontario, Canada, for the year of 2020. Two scenarios with different power output tolerance considerations (i.e., tolerance ranges based on 6- and 8-hour subperiods) are analyzed to compare the fluctuations of power output and the total net earnings. The optimized number of storage devices is also discussed. The developed model can provide technical support for the design and operation of power storage systems at wind power farms.