zhangtjtongxue

deeprl_network

multi-agent deep reinforcement learning for networked system control.

DRLib

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

MAPDN

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

PGSIM

PGSIM Simulator

smartgrid_two_timescale_dispatch

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

AG_IEEE123Bus

ant-learn-python-concurrent

Python并发编程专题

cluster-data

Borg cluster traces from Google

clusterdata

cluster data collected from production clusters in Alibaba for cluster management research

data_driven_control

ddz-ai

以孤立语假设和宽度优先搜索为基础，构建了一种多通道堆叠注意力Transformer结构的斗地主ai

easy-rl

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

ENG720_honours_thesis

A repository of my thesis and preparatory documents for an undergraduate degree in Electrical Engineering at CDU

ENG720_python_models

Python models of single and two area power systems with various control developed with custom built python class

epciclr2020

episodic-transformer-memory-ppo

Clean baseline implementation of PPO using an episodic TransformerXL memory

epymarl

An extension of the PyMARL codebase that includes additional algorithms and environment support

Error_of_SOCR

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

GridIQRL

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

IEEE-118Bus-System

learn-to-interact

undergrad thesis on the emergence of multi-agent behaviours

matpower

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

mujoco-py

MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

on-policy

This is the official implementation of Multi-Agent PPO.

pandapower--python-numba-

Convenient Power System Modelling and Analysis based on PYPOWER and pandas

powergym

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

PPO-for-Beginners

A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.

pymarl2

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

Reprinted_Applied_Energy

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

toolSet

This is a set of useful tools.