PyPSA: Python for Power System Analysis
-
Updated
May 28, 2024 - Python
PyPSA: Python for Power System Analysis
JuliaGrid is an easy-to-use power system simulation tool for researchers and educators provided as a Julia package.
A Julia/JuMP Package for Unbalanced Power Network Optimization
Optimal Power Flow: Predicting v and theta at each bus of a MATPOWER power grid
Source code to replicate research findings of the paper 'Understanding the Structural Characteristics of Convergence Bidding in Nodal Electricity Markets.' Developed using CVXPY.
Multi-Period Optimal Power Flow for Active Distribution Systems with Spatially Distributed Computation
A Julia/JuMP Package for Power Network Optimization
AC-OPF Implementations in Various NLP Modeling Frameworks
Thesis
MATLAB implementations for the courses Analysis of Power Systems (EE 521) and Power System Stability and Control (EE 523) at Washington State University.
A package for solving optimal power flow problems using distributed algorithms.
A PowerModels.jl Extension Package for Exploratory Work
Optimal Power Flow calculation for the Electrical Grid Simulator (EGS).
Grid-edge Technologies
MESMO - Multi-Energy System Modeling and Optimization
Benchmarks for the Optimal Power Flow Problem with HVDC Lines
Benchmarks for the Optimal Power Flow Problem
This repo contains code and visualisation for "Robust moving target defence against false data injection attacks in power grids"
Parser of PSS/E-format Power Flow Raw Data Files (.raw)
Network generation for paper Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks.
Add a description, image, and links to the optimal-power-flow topic page so that developers can more easily learn about it.
To associate your repository with the optimal-power-flow topic, visit your repo's landing page and select "manage topics."