PRAS: Probabilistic Resource Adequacy Suite
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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 different resource portfolios and planning reserves affect reliability. The tool supports utilities, regulators, and researchers in planning and evaluating resource adequacy in an evolving grid with high renewable penetration.
Citation Formats
TY - DATA
AB - 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 different resource portfolios and planning reserves affect reliability. The tool supports utilities, regulators, and researchers in planning and evaluating resource adequacy in an evolving grid with high renewable penetration.
AU - NLR
DB - C-MIX - Community Microgrid Information Exchange
DP - Open EI | National Laboratory of the Rockies
DO -
KW - Battery energy storage
KW - Solar
KW - Photovoltaics
KW - PV
KW - Diesel generators
KW - Other liquid-fuel generators
KW - Wind energy
KW - Planning and design
KW - Planning
KW - Design
KW - Maintenance and operations
KW - Operations
KW - Maintenance
KW - Commissioning
KW - Resilience
KW - Extreme weather
LA - English
DA - 2025/04/21
PY - 2025
PB - NLR
T1 - PRAS: Probabilistic Resource Adequacy Suite
UR - https://cmix.openei.org/submissions/328
ER -
NLR. PRAS: Probabilistic Resource Adequacy Suite. NLR, 21 April, 2025, C-MIX - Community Microgrid Information Exchange. https://cmix.openei.org/submissions/328.
NLR. (2025). PRAS: Probabilistic Resource Adequacy Suite. [Data set]. C-MIX - Community Microgrid Information Exchange. NLR. https://cmix.openei.org/submissions/328
NLR. PRAS: Probabilistic Resource Adequacy Suite. NLR, April, 21, 2025. Distributed by C-MIX - Community Microgrid Information Exchange. https://cmix.openei.org/submissions/328
@misc{CMIX_Dataset_328,
title = { PRAS: Probabilistic Resource Adequacy Suite},
author = {NLR},
abstractNote = {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 different resource portfolios and planning reserves affect reliability. The tool supports utilities, regulators, and researchers in planning and evaluating resource adequacy in an evolving grid with high renewable penetration.},
url = {https://cmix.openei.org/submissions/328},
year = {2025},
howpublished = {C-MIX - Community Microgrid Information Exchange, NLR, https://cmix.openei.org/submissions/328},
note = {Accessed: 2026-08-06}
}
Details
Data from Apr 21, 2025
Last updated Mar 30, 2026
Submitted Jun 2, 2026
Organization
NLR
Contact
Gord Stephen
Authors
