Consideration of ancillary services in Screening Curve Method

Screening Curve Method (SCM) is a simple, fast and powerful model that estimates the least-cost generation mix. Many developments have been proposed in recent years for SCM modeling. However, with more renewable resources being integrated into the grid, ancillary services' impact on generation system becomes more and more crucial. This paper proposes two SCM based approaches for modeling the long-term impact of the ancillary services, targeting the least-cost generation mix. A co-optimized model and an ancillary services-only model are developed. Numerical calculations are included to demonstrate the effectiveness of the proposed models.