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See the table below for our open-source software offerings.
For the most current listing of NREL-developed open-source software, see U.S. Department of Energy Office of Scientific and Technical Information's DOE CODE database.
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Explore more than 250 copyrighted software tools available for licensing via the Department of Energy's Lab Partnering Service.
DSS-SimPy-RL: Open-DSS and SimPy Based Cyber-Physical RL Environment
Mar 29, 2023, 00:00 AM
This software addresses the challenge of creating a mixed domain reinforcement learning environment by combining Open DSS for the physical side, operating in a Windows-based system, with SimPy, a discrete event simulator Python package for cyber-side emulation, which is operating systems agnostic. The focus is on developing and validating this mixed domain environment for co-simulation, enabling the training of reinforcement learning agents for resilient control in power distribution feeders through network reconfiguration and volt-var control.
Title :
DSS-SimPy-RL: Open-DSS and SimPy Based Cyber-Physical RL Environment
Url :
https://github.com/NREL/DSS-SimPy-RL
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Last Updated July 8, 2025