Adaptive Transmission and Distribution Modeling and Simulation Tools for Supporting Integration and Operation of High Penetration of DERs (S-107)

Research Team

  • Project leader: Qiuhua Huang (Mines)
  • Team members: Venkataramana Ajjarapu (ISU) Meng Wu (ASU)

Duration: 7/2023 - 8/2025

Industry Team Members

  • ComEd
  • Dominion Energy
  • Eaton
  • EPRI
  • GE VENOVA
  • Hitachi
  • MISO
  • NREL
  • SPP
  • Salt River Project (SRP)

Summary

  • As the implementation of FERC Order 2222 is coming and DER proliferate, it is imperative to (i) adequately model and efficiently analyze the dynamic impacts of DER on transmission and distribution (T&D) systems, (ii) capture and leverage full capabilities of DER to facilitate large-scale DER integration and T&D system operation. This project 1) Develops adaptive, multi-fidelity modeling and AI-accelerated co-simulation approaches to improve the computational efficiency of dynamic simulation for large-scale T&D systems; 2) Builds an automated tool to create a multi-fidelity model library for adequately representing distribution systems and DER while maintaining consistency for different dynamic and transient studies; 3) Derives aggregated reactive power capability curves at T&D interfaces by considering DER control capabilities and leverages them to provide reactive power ancillary services. The main outcomes will be open-source tools that help industry members efficiently plan and reliably operate their systems with high penetration of DER.

Project updates

  • Nov 14, 2024: Dr. Huang presented the work on “Identification of Impact Regions forAdaptive Distribution System Modeling in Transmission-Level Dynamic Contingency Analysis,” at CIGRE Grid of the Future Symposium, Raleigh, NC, Nov 12, 2024

Publication

  • O. Cornmesser and Q. Huang, “Identification of Impact Regions forAdaptive Distribution System Modeling in Transmission-Level Dynamic Contingency Analysis,” accepted and presented at CIGRE Grid of the Future Symposium, Raleigh, NC, Nov.2024

  • O. Cornmesser and Q. Huang, “Power System Dynamic Contingency Analysis with Adaptive Distribution System Modeling”, submitted to PES GM 2025.