Project Description
Design and develop an architecture, FAST-DERMS, that can aggregate and manage a broad range of DERs (PV, storage, EV, flexible loads, CHP, and other distributed generators) across the grid for bulk system services.
Value Proposition
- Enables scalable aggregation and near real-time management of utility-scale and small-scale DERs
- Integrates seamlessly with any centralized DMS/ADMS, EMS, and MGMS and/or distributed stochastic control mechanisms.
- Supports reliable, resilient, and secure distribution and transmission grid services.
- Maximizes the benefit of behind-the-meter assets to provide bulk grid services
- From TSO perspective, the distribution system operates just like traditional generation providing seamless market integration
Project Objectives
- Develop stochastic control-based scheduling solutions of DERs to provide bulk power system services
- Develop a communication architecture that incorporates open standards for all levels of communications.
- Develop accurate DER models, scheduling, and control techniques to optimally participate in grid services
- Develop methods to detect anomalies and characterize adaptive control of inverter-based DERs to support bulk system stability.
- Develop an architecture for using transactive controls and market-based coordination of BTM DERs
- Implement and evaluate FAST-DERMS through the GridAPPS-D and ADMS testbed respectively
Publications
Grid Architecture Guidance Specification for FAST-DERMS. April 2021. https://gridarchitecture.pnnl.gov/media/Grid_Arch_Guidance_for_FAST%20DERMS.pdf
Federated Architecture for Secure and Transactive Distributed Energy Resource Management Solutions (FAST-DERMS). January 2022. https://www.nrel.gov/docs/fy22osti/81566.pdf
Y. Yao, F. Ding, and W. Liu, "A Hybrid Data-Driven and Model-Based Anomaly Detection Scheme for DER Operation", 2022 IEEE PES Innovative Smart Grid Technologies (ISGT-NA), April 2022. https://www.osti.gov/biblio/1883207
F. Ding, W. Liu, U. Kumar and Y. Yao, “Unleash Values From Grid-Edge Flexibility: An overview, experience, and vision for leveraging grid-edge distributed energy resources to improve grid operations,” IEEE Electrification Magazine, Dec. 2022. https://www.osti.gov/biblio/1922392
J. MacDonald, M. Baudette, V. Motakatla, Y. Lin, “An Introduction to the Federated Architecture for Secure and Transactive Distributed Energy Management Solutions (FAST-DERMS)”, accepted to the 2024 Annual Conference of the IEEE Industrial Electronics Society (IECON).
Y. Lin, V. Motakatla, A. Pratt, J. MacDonald, M. Baudette, A. Ingram, “Federated Controls for Distributed Energy Resource Management Applied to a Feeder with High Solar Generation and Battery Storage”, accepted to IEEE PES Grid Edge Technologies Conference & Exposition, 2025.
A. Singh, V. R, Motakatla, C.H. Allwardt , H. Padullaparti, I. Mendoza, and P. Sharma, “A Framework to Demonstrate a DNP3 Interface With a CIM-based Data Integration Platform,” IEEE PES General Meeting, July 2024, Seattle, WA.
