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.
☆32Apr 4, 2026Updated 6 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☆38Sep 12, 2025Updated last year
- A Review of Safe Reinforcement Learning Methods for Modern Power Systems☆45Aug 10, 2026Updated 2 months ago
- IntelliHealer: An imitation and reinforcement learning platform for self-healing distribution networks☆34Oct 24, 2025Updated last year
- DRL-based ESSs scheduling environments in distribution networks.☆72Mar 31, 2026Updated 6 months ago
- Power system generation scheduling and co-simulation with dynamics.☆27Jun 7, 2026Updated 4 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A gymnasium-compatible framework to create reinforcement learning (RL) environment for solving the optimal power flow (OPF) problem. Cont…☆35Mar 22, 2025Updated last year
- [IEEE Transactions on Power Systems] Transmission Interface Power Flow Adjustment: A Deep Reinforcement Learning Approach based on Multi-…☆26Jun 2, 2024Updated 2 years ago
- Two stage heuristic method to reconfigure the distribution networks☆11Mar 30, 2023Updated 3 years ago
- ☆27Jun 9, 2026Updated 4 months ago
- Low voltage distribution system state estimation.☆10Apr 16, 2024Updated 2 years ago
- Deep Reinforcement Learning for Distribution System Reconfiguration☆13Jun 13, 2025Updated last year
- A modernized package that combines the best of OpenDSSDirect.py, DSS-Python, and new features from the (Alt)DSS engine and C-API.☆20Feb 27, 2026Updated 8 months ago
- Time series observation and valid action handling for applying deep reinforcement learning in microgrid energy management.☆57Feb 24, 2024Updated 2 years ago
- Implementation of Deep Statistical Solver for Distribution System State Estimation☆37Mar 27, 2025Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- 配电网重构的混合整数二阶锥规划模型求解。其余说明与混合整数线性规划模型的项目相同☆21Sep 22, 2022Updated 4 years ago
- Reconfiguration of distribution networks using mixed integer second-order cone model (MISOCP)☆17Jun 7, 2023Updated 3 years 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
- A Reinforcement Learning-based Volt-VAR Control Dataset☆26Apr 21, 2022Updated 4 years ago
- Deep Reinforcement Learning based Real-time Renewable Energy Bidding with Battery Control☆19Jun 1, 2026Updated 4 months ago
- distribution network reconfiguration using spanning trees and Distflow☆40Oct 26, 2023Updated 3 years ago
- This project develops an optimal power flow (OPF) solution for a distribution network with renewable resources and stochastic loads using…☆14Dec 6, 2024Updated last year
- Multi-resource Dynamic Coordinated Planning of Flexible Distribution Network☆15Jun 11, 2024Updated 2 years ago
- Physics-Informed Reinforcement Learning for Smart V2G EV Charging and Distribution Network Voltage Support.☆36Jun 16, 2026Updated 4 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Open source library for state estimation of a distribution network modeled in OpenDSS☆14Apr 27, 2023Updated 3 years ago
- ☆16Nov 4, 2021Updated 4 years ago
- This repository contains the code for paper Li, Ran, et al. "Decision-oriented learning for future power system decision-making under unc…☆38Apr 13, 2025Updated last year
- ☆32Sep 15, 2020Updated 6 years ago
- code for paper: Mixture-of-experts based Multi-Critic Deep Reinforcement Learning for Sustainable Management of Data Center Microgrids☆24Sep 30, 2026Updated last month
- Code for "Strengthened and Faster Linear Approximation to Joint Chance Constraints with Wasserstein Ambiguity", INFORMS Journal of Comput…☆20Feb 26, 2025Updated last year
- A Gym-like environment for Volt-Var control in power distribution systems.☆116Aug 4, 2022Updated 4 years ago
- Official Github Repository for "Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints". (NeurIPS 2023)☆21Nov 30, 2025Updated 11 months ago
- ☆14Jun 29, 2023Updated 3 years ago
- 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.
- Open Platform for Local Energy Markets☆13Nov 18, 2025Updated 11 months ago
- Developing LLM applications for power systems☆49Jan 21, 2024Updated 2 years ago
- A Graph Reinforcement Learning model that combines RL and Graph Neural Networks to solve Dynamic Economic Power Dispatch☆12Sep 29, 2024Updated 2 years ago
- LLM4DistReconfig: A Fine-tuned Large Language Model for Power Distribution Network Reconfiguration☆29Mar 18, 2025Updated last year
- ⚡A python micro-framework for simulation and data analysis of electrical distribution systems modeled on OpenDSS.☆18Apr 10, 2023Updated 3 years ago
- GridIQRL: A Reinforcement Learning-Based Tool for Distribution Network Reconfiguration☆25Mar 9, 2024Updated 2 years ago
- 配电网网络重构的混合整数线性规划模型,使用gurobi求解。测试网络IEEE14节点配电网。☆33Jul 3, 2022Updated 4 years ago