PyPSA: Python for Power System Analysis

A Julia/JuMP Package for Power Network Optimization

Benchmarks for the Optimal Power Flow Problem

A Julia/JuMP Package for Unbalanced Power Network Optimization

An Open-Source Optimal Power Flow Formulation: Integrating Pyomo & OpenDSS in Python

AC-OPF Implementations in Various NLP Modeling Frameworks

MESMO - Multi-Energy System Modeling and Optimization

Power System simulation tool to visualize the steady state power system operation, such as optimal power flow and state estimation. The functions also include generating false data injection (FDI) attacks and detect by using Moving Target Defence (MTD).

A package for solving optimal power flow problems using distributed algorithms.

Network generation for paper Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks.

Parser of PSS/E-format Power Flow Raw Data Files (.raw)

Final project of Convex Optimization II to solve AC Optimal Power Flow with convex relaxations

Conic relaxations of the optimal power flow problem

JuliaGrid is an easy-to-use power system simulation tool for researchers and educators provided as a Julia package.

A PowerModels.jl Extension Package for Exploratory Work

This repo contains code and visualisation for "Robust moving target defence against false data injection attacks in power grids"

Benchmarks for the Optimal Power Flow Problem with HVDC Lines

distribution management system

Master Thesis: Optimal Power Flow in Power Systems using Graph Neural Networks

MATLAB implementations for the courses Analysis of Power Systems (EE 521) and Power System Stability and Control (EE 523) at Washington State University.