A Framework for developing Deep Reinforcement Learning environments using OpenDSS and Gymnasium for electric power distribution systems research optimization and control. We include common grid service examples (emergency restoration, local PV system Volt-VAR, etc.) with codes, and provide template files with a detailed tutorial for users.
☆31Apr 4, 2026Updated 4 months ago
Alternatives and similar repositories for DSS-Gymnasium
Users that are interested in DSS-Gymnasium are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Fast-Converged Deep Reinforcement Learning for Optimal Dispatch of Large-Scale Power Systems under Transient Security Constraints☆37Sep 12, 2025Updated 11 months ago
- A Review of Safe Reinforcement Learning Methods for Modern Power Systems☆46Aug 10, 2026Updated 2 weeks ago
- DRL-based ESSs scheduling environments in distribution networks.☆72Mar 31, 2026Updated 5 months ago
- Power system generation scheduling and co-simulation with dynamics.☆25Jun 7, 2026Updated 2 months ago
- A gymnasium-compatible framework to create reinforcement learning (RL) environment for solving the optimal power flow (OPF) problem. Cont…☆35Mar 22, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- DistFlow Safe Reinforcement Learning Algorithm for Voltage Magnitude Regulation in Distribution Networks☆14Jul 9, 2025Updated last year
- ☆27Jun 9, 2026Updated 2 months ago
- A modernized package that combines the best of OpenDSSDirect.py, DSS-Python, and new features from the (Alt)DSS engine and C-API.☆18Feb 27, 2026Updated 6 months ago
- IntelliHealer: An imitation and reinforcement learning platform for self-healing distribution networks☆34Oct 24, 2025Updated 10 months ago
- code for paper "Two-Critic Deep Reinforcement Learning for Inverter-based Volt-Var Control in Active Distribution Networks"☆19Apr 10, 2024Updated 2 years ago
- Implementation of Deep Statistical Solver for Distribution System State Estimation☆36Mar 27, 2025Updated last year
- Time series observation and valid action handling for applying deep reinforcement learning in microgrid energy management.☆57Feb 24, 2024Updated 2 years ago
- [IEEE Transactions on Power Systems] Transmission Interface Power Flow Adjustment: A Deep Reinforcement Learning Approach based on Multi-…☆26Jun 2, 2024Updated 2 years ago
- A Reinforcement Learning-based Volt-VAR Control Dataset☆26Apr 21, 2022Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Multi-resource Dynamic Coordinated Planning of Flexible Distribution Network☆15Jun 11, 2024Updated 2 years ago
- Deep Reinforcement Learning based Real-time Renewable Energy Bidding with Battery Control☆19Jun 1, 2026Updated 2 months ago
- Open source library for state estimation of a distribution network modeled in OpenDSS☆14Apr 27, 2023Updated 3 years ago
- distribution network reconfiguration using spanning trees and Distflow☆41Oct 26, 2023Updated 2 years ago
- This repository contains the code for paper Li, Ran, et al. "Decision-oriented learning for future power system decision-making under unc…☆36Apr 13, 2025Updated last year
- code for paper: Mixture-of-experts based Multi-Critic Deep Reinforcement Learning for Sustainable Management of Data Center Microgrids☆17Feb 18, 2026Updated 6 months ago
- A Gym-like environment for Volt-Var control in power distribution systems.☆115Aug 4, 2022Updated 4 years ago
- MATLAB code for component-informed data-center power-delivery modeling and power-system resonance analysis.☆23Jun 26, 2026Updated 2 months ago
- Physics-Informed Reinforcement Learning for Smart V2G EV Charging and Distribution Network Voltage Support.☆35Jun 16, 2026Updated 2 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code for "Strengthened and Faster Linear Approximation to Joint Chance Constraints with Wasserstein Ambiguity", INFORMS Journal of Comput…☆19Feb 26, 2025Updated last year
- ☆30Sep 15, 2020Updated 5 years ago
- ☆14Jun 29, 2023Updated 3 years ago
- Open Platform for Local Energy Markets☆13Nov 18, 2025Updated 9 months ago
- LLM4DistReconfig: A Fine-tuned Large Language Model for Power Distribution Network Reconfiguration☆29Mar 18, 2025Updated last year
- GridIQRL: A Reinforcement Learning-Based Tool for Distribution Network Reconfiguration☆25Mar 9, 2024Updated 2 years ago
- ⚡A python micro-framework for simulation and data analysis of electrical distribution systems modeled on OpenDSS.☆18Apr 10, 2023Updated 3 years ago
- This repository is an Reinforcement Learning Platform for learning agents to control cyber-physical Power Distribution Systems resilientl…☆45May 8, 2023Updated 3 years ago
- RLC4CLR employs curriculum learning to train a reinforcement learning controller (RLC) for a distribution system critical load restoratio…☆22Jul 3, 2025Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- This is the Matlab code for the Switch Opening and Exchange (SOE) method used in paper "Switch Opening and Exchange Method for Stochastic…☆29Jun 4, 2020Updated 6 years ago
- ☆14Mar 30, 2025Updated last year
- PoweFlowNet: Leveraging Message Passing GNNs for Improved Power Flow Approximation☆78Aug 25, 2024Updated 2 years ago
- Master Thesis Project for DRL in power system restoration using renewables☆23Oct 13, 2020Updated 5 years ago
- IEEE33标准节点的配电网潮流计算,生成潮流数据,写入文件,包括单一阻抗数据和随机阻抗数据多维数据生成☆19Dec 1, 2024Updated last year
- Augments popular QP solvers with differentiability☆24May 5, 2026Updated 3 months ago
- Improving scalability of RL algorithms using GNNs: A case study in optimal EV charging.☆32Oct 16, 2025Updated 10 months ago