On January 21, 2025, Atri Bera and a team of researchers at Sandia National Laboratories announced the development of a Python-based open source software tool called Probabilistic Grid Reliability Analysis with Energy Storage Systems (ProGRESS), which is now available on GitHub. This tool is designed for assessing the resource adequacy of the evolving electric power grid integrated with energy storage systems (ESS) and variable energy resources (VERs).
ProGRESS incorporates state-of-the-art ESS models, capturing the charge-discharge dynamics of ESSs along with their evolving state-of-charge. The tool also includes ESS failure and repair models, allowing users to analyze the availability of their ESS devices when they are needed most. Additionally, ProGRESS can handle the uncertainty associated with VERs, such as wind and solar power generation resources, enabling users to simulate thousands of different renewable generation scenarios based on weather conditions. Users can build their own grid models, download and utilize historical VER data using APIs, and analyze the magnitude, duration, and frequency of expected future outages. ProGRESS empowers users to make informed decisions and plan effectively for VER- and ESS-rich future power systems.
Energy storage systems are being widely deployed for grid reliability and resilience applications to mitigate short- and long-term variability of renewable resources and to serve as backup power for critical infrastructure. Therefore, modeling and integrating ESS operation and failure characteristics into grid reliability and planning frameworks is crucial for understanding their impact on grid reliability and resilience, as well as for planning effectively to achieve and maintain desired grid reliability levels.
For further inquiries, please contact Atri Bera.
For more information, please visit the ProGRESS GitHub page here.
This work was supported by the U.S. Department of Energy, Office of Electricity, Energy Storage Division.
Sandia National Laboratories is managed and operated by NTESS under DOE NNSA contract DE-NA0003525.