Ramp Rates Control of Wind Power Output Using a Storage System and Gaussian Processes

This paper suggests the operation polices of storage devices to limiting ramp rates of wind power output. Operation polices are based on the optimization framework of linear programming under the assumption that there is a penalty cost for deviating outside ramp rate limits. Policies decide optimal storage operations to minimize the total penalty costs incurred when violating ramp rate limits. For the given generated wind power, the optimization framework decides the storage operation by considering the future wind power. Wind power outputs for six hours are forecasted by Gaussian Processes in order to reflect the trend of wind power in the optimization framework. Operation policies manages the state of charge (SOC) level optimally.