Reliability evaluation of bulk power system considering compressed air energy storage

Abstract

The integration of large-scale energy storage systems (ESSs) have been identified as a viable option to mitigate the adverse effects of renewable energy sources (RES) on the power system operation and reliability. Currently, compressed air energy storage (CAES) is one of the two large-scale energy storage technologies with low capital and operational costs. This paper presents a method to integrate a new CAES reliability model in the bulk power system reliability evaluation and investigates quantitative benefits derived from the CAES. A state-duration sampling method is adopted for the reliability evaluation. A detailed reliability model of the CAES that considers its actual operating mechanism is first developed. Each system contingency state is then analyzed using a unit commitment (UC) method instead of hourly optimal power flow (OPF). This ensures that the inter-temporal constraints introduced by the CAES, such as its state-of-charge (SOC), are included in the analysis. Case studies are performed on a six-bus test system containing a wind farm and a CAES. The results indicate that the CAES can improve the overall reliability of the system. In particular, the reliability indices of the bus where the CAES is connected show the greatest improvement.