DOE OSTI · 3013244
Standard Library Grid-Forming Hybrid Control Inverter-Based Resource Model Specification (REGFM_C1)
Abstract
This document describes a standard library grid-forming (GFM) hybrid control inverter-based resource (IBR) model. The GFM hybrid control approach implements both a typical GFM control and a typical grid-following (GFL) control inside one single inverter simultaneously, so that it can take advantage of both methods without comprising the benefits of a typical GFM. The initial version of model specification was jointly developed by Pacific Northwest National Laboratory (PNNL), Tesla Energy, and EPRI, and it was revised multiple times later to incorporate suggestions from WECC MVS members. Tesla Energy provided main control blocks to support the development of this model specification. This standard library model is developed to help the utility industry better understand the GFM technology. The model could be used to represent equipment for long-term planning studies where vendor-specific models are not available. As equipment matures and improves, standard library models will be updated to capture the new functionalities of GFMs. It is not intended that these models will always remain representative of all future GFM technologies.
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Du, Wei [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)], Vennlaganti, Sai [Tesla Energy, Fremont, CA (United states)], Ramasubramanian, Deepak [Electric Power Research Inst. (EPRI), Knoxville, TN (United States)], Kim, Jinho [Tesla Energy, Fremont, CA (United states)], Nwaneto, Udoka [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)], Nguyen, Quan [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)], Mohammadpour, Ali [Tesla Energy, Fremont, CA (United states)], Walinga, Sarah [Tesla Energy, Fremont, CA (United states)], Karunaratne, Lilan [Tesla Energy, Fremont, CA (United states)], Mahfouz, Mostafa [Tesla Energy, Fremont, CA (United states)], Nassar, Mohammed [Tesla Energy, Fremont, CA (United states)], Thakar, Sushrut [Electric Power Research Inst. (EPRI), Knoxville, TN (United States)], Zhang, Chengwen [Electric Power Research Inst. (EPRI), Knoxville, TN (United States)], Mohiuddin, Sheik Mohammad [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)], Weber, James [PowerWorld, Champaign, IL (United states)], Chen, Mengxi [General Electric Co., Boston, MA (United States)], Senthil, Jayapalan [Siemens Corp., Washington, DC (United States)], Feltes, James [Siemens Corp., Washington, DC (United States)], Pourbeik, Pouyan [Power and Energy, Analysis, Consulting and Education (PEACE) PLLC], Howell, Fred [Powertech Labs, Surrey (Canada)], Bloemink, Jeff [Powertech Labs, Surrey (Canada)], Wang, Song [General Electric Co., Portland, OR (United States)], Tucker, Doug [Western Electricity Coordinating Council, Salt Lake City, UT (United States)], Zhu, Songzhe [GridBright, Lake Mary, FL (United States)], Sanchez, Juan [General Electric Co., Boston, MA (United States)]. 2025-11-24. Standard Library Grid-Forming Hybrid Control Inverter-Based Resource Model Specification (REGFM_C1). https://doi.org/10.2172/3013244
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