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.