Scalable uncertainty aware ancillary services procurement tool for active distribution systems

Abstract

Achieving carbon neutral power systems is pushing for higher penetration of distributed energy resources (DER) in existing distribution systems. Accordingly, sophisti-cated, yet, practical tools for the optimal operation and management of active distribution systems (ADS) are in high need. In response to this necessity, this paper presents a novel and scalable tool for ancillary services procure-ment by distribution system operators (DSOs). The devel-oped tool takes into consideration the inter-temporal and variable nature of DER in an uncertainty-aware approach. This tool is also suited for real-world implementation with large ADS, as it adopts a sequential linearization ap-proach. As such, it allows DSOs to procure flexibility op-timally from DERs embedded in ADS in the day-ahead op-eration planning timeframe, where congestion and voltage issues are managed.