May 21, 2025
Conference Paper

Data-driven Modeling for Grid Edge IBRs: A Digital Twin Perspective of User-Defined Models

Abstract

Recent events in Odessa have brought attention to the challenges associated with the interaction between Inverter- Based Resources (IBRs) and the transmission and distribution system. The NERC event diagnosis report has highlighted sev- eral issues, emphasizing the need for continuous performance monitoring of these IBRs by system operators. Key areas of concern include the mismatch of control and protection perfor- mance of IBRs between the original equipment manufacturer (OEM)-provided models and field measurements. The inability to replicate the realistic response can result in incorrect reliability and resilience studies. In this paper, we developed an approach on how to emulate the behavior of an IBR using measurement data obtained for system operators to utilize in real-time and long- term planning. Two experiments are conducted in the phasor domain and electromagnetic transients (EMT) domain to emulate the behavior for grid forming and grid following inverters under various operating conditions and the effectiveness of the proposed model is demonstrated in terms of accuracy and ease of utilizing user-defined models (UDMs)

Published: May 21, 2025

Citation

Mahapatra K., B. Mitra, and S. Kundu. 2024. Data-driven Modeling for Grid Edge IBRs: A Digital Twin Perspective of User-Defined Models. In Proceedings of the 50th Annual Conference of the IEEE Industrial Electronics Society (IECON 2024), November 3-6, 2024, Chicago, IL, 1-7. Piscataway, New Jersey:IEEE. PNNL-SA-200325. doi:10.1109/IECON55916.2024.10905168