Sizing and Coordinating Fast- and Slow-Response Energy Storage Systems to Mitigate Hourly Wind Power Variations

Abstract

To mitigate intra-hour wind power variability, this paper presents probabilistic-based sizing and coordination control methods for fast- and slow-response energy storage systems (ESS). The fast-response ESS is designed to compensate for the hourly wind power variation, whereas the slow-response ESS coordinates with the energy deficiency or surplus. Aiming for a desired coverage and optimum sizing, the ESS capacities are determined using the conditional range metric (CRM) and desired power profiles from forecasts. Considering various real-world operational requirements, two ESS configurations and control strategies are proposed for power dispatch. The accuracy and effectiveness of these methods are evaluated by the CRM. Lifetime depreciation of the fast-response ESS is assessed by a rainflow counting algorithm for comparison among different power dispatch schemes.