This repository is for an open-source environment for multi-agent active voltage control on power distribution networks (MAPDN).

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。

GridIQRL: A Reinforcement Learning-Based Tool for Distribution Network Reconfiguration

Convenient Power System Modelling and Analysis based on PYPOWER and pandas

Clean baseline implementation of PPO using an episodic TransformerXL memory

基于深度强化学习的主动配电网电压控制策略

电力系统保护与控制投稿《考虑设备动作损耗的配电网分布式电压无功优化》支持文件，利用IEEE33测试节点算例说明二阶锥松弛的准确性

复刻论文Applied Energy的论文A bi-layer optimization based temporal and spatial scheduling for large-scale electric vehicles，包含考虑电动汽车有序充放电的机组组合和最优潮流

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

A Gym-like environment for Volt-Var control in power distribution systems.

PGSIM Simulator

multi-agent deep reinforcement learning for networked system control.

multi-agent deep reinforcement learning for networked system control.

MATPOWER – steady state power flow simulation and optimization for MATLAB and Octave

Code for replicating results: Two-Timescale Stochastic Dispatch of Smart Distribution Grids

This repository is for an open-source environment for multi-agent active voltage control on power distribution networks (MAPDN).

Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)

This is a Matlab implementation of the SOCP augmented relaxation OPF solution method from (Nick et al, 2017), as studied in (Bobo et al, 2020). See README.docx for full references.

Lightweight, stable, efficient PyTorch implement of reinforcement learning. I want to call this PyTorch implement as "3-Python-file-RL".

DRLib：A concise deep reinforcement learning library, integrating HER and PER for almost off policy RL algos.

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

PyTorch implementations of deep reinforcement learning algorithms and environments

An open-source platform for applying Reinforcement Learning for Grid Control (RLGC)

中国大学MOOC《机器人操作系统入门》课程代码示例

MatLab implementation of a Rao-Blacwellized Particle Filter for Grid- Based FastSlam

MatLab implementation of a Rao-Blacwellized Particle Filter for Grid- Based FastSlam

基于SAE J1939协议，开源可移植的J1939驱动。技术支持群： 264864184 @使用说明书：