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.

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

Conic relaxations of the optimal power flow problem

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

A PowerModels.jl Extension Package for Exploratory Work

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

Benchmarks for the Optimal Power Flow Problem with HVDC Lines

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

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

distribution management system

Julia package with tools at the cross-section of Power System Operations, Applied Mathematics, High-Performance Computations, and Machine-Learning.

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