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PRAS: Probabilistic Resource Adequacy Suite
PRAS is a modeling suite developed by NREL that performs probabilistic resource adequacy assessments for power systems. It incorporates weather variability, generator outages, and demand uncertainty to estimate metrics such as loss of load expectation (LOLE). Users can explore how...
NLR
Apr 20, 2025
Risk-controlled Expansion Planning with Distributed Resources (REPAIR)
Risk‑controlled Expansion Planning with Distributed Resources (REPAIR) is a modeling framework and software tool developed by Lawrence Berkeley National Laboratory to support distribution‑system expansion planning under reliability and resilience risk. REPAIR couples long‑te...
Lawrence Berkeley National Laboratories
Dec 31, 2024
PR-DRIFT: Puerto Rico Demand Response Impact and Forecast Tool
PR-DRIFT is an NREL-developed tool that models and forecasts the impacts of demand response programs on Puerto Rico's electric grid. It simulates how customer participation in demand response can reduce peak loads, provide ancillary services, and improve resilience. The tool helps...
NLR
Mar 11, 2025
REopt
REopt is a techno-economic optimization platform developed by NREL that recommends optimal sizes and dispatch strategies for distributed energy resources including solar photovoltaics, wind turbines, batteries, and thermal technologies based on site specific load profiles, utility...
NLR
Dec 31, 2025
Resilient Node Cluster Analysis Tool (ReNCAT)
The Resilient Node Cluster Analysis Tool (ReNCAT) is an optimization‑based desktop application developed by Sandia National Laboratories to support community‑scale resilience planning. ReNCAT combines distribution system topology, critical‑infrastructure locations (such as h...
Sandia National Laboratories
Dec 31, 2025
GridLab-D
GridLAB-D is a new power system simulation tool that provides valuable information to users who design and operate electric power transmission and distribution systems, and to utilities that wish to take advantage of the latest smart grid technology. It incorporates advanced model...
Pacific Northwest National Laboratory
Jan 19, 2023
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