There are 5 repositories under power-system-simulation topic.
Python toolbox / library for power system transient dynamics simulation with symbolic modeling and numerical analysis 🔥
🏆 A weekly updated ranked list of popular open-source libraries and tools for Power System Analysis.
A framework to build power system oriented software
A versatile simulation and optimization platform for power-system planning and operations.
SVG diagrams generation: single-line substation diagrams and network graph diagrams
A library of power system component models written in the Modelica language that can be used for power system dynamic analysis, such as phasor time-domain simulations.
JRC Hydro-power plants database
PSP-UFU (Power Systems Platform of Federal University of Uberlândia) is a cross-platform, multilingual, Free and Open-Source Software with advanced GUI features and CAD tools for electrical power system studies.
An open source loadflow based on PowSyBl
Resources for the Energy System Modelling course by Tom Brown at Karlsruhe Institute of Technology (2020).
Network generation for paper Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks.
Dispatch and investment model for a fully renewable power sector
JavaFX UI for powsybl framework
Holistic Optimization Program for Electricity
Python notebooks demonstrating PyPowSyBl features
CIM-2-Mod(elica) Model Transformation Tool
Generation dispatch and unit commitment model to evaluate impacts of different levels of EV penetration on the power sector in Ontario
A detailed tutorial for power system optimization with Gurobi.
This project will present an applied and game-like approach to simulating the load growth, investment decisions by two types of generation technologies, demand-price responsiveness, and reliability, of a test-case power system. The simulation begins as a 9-bus system with existing generation (3 generators) and transmission lines (8 lines). System topology can be viewed in a figure throughout the game with the yearly generation and load at each bus. In addition, dynamic color-coding is used to highlight transmission lines that exceed MVA ratings and highlight bus voltages that violate any limits. The winning objective of the player company (you) is to maximize his profit. Reliability can be tracked by viewing the N-1 generator and line contingencies every year, but this does not influence profits. There are two generation technologies used: coal and gas turbine. Each technology will have a similar competitor in the simulation. The competitor can bring down the market price and reduce the player’s profits significantly. The clock starts at T=0 in the investment game with a historical record of past prices and projected prices based on lack of investment. As time moves forward in yearly increments, the load, prices, investment costs, and other variables are adjusted to that of the player’s performance. The player has the opportunity to study various profitable and unprofitable investment alternatives each year of the simulation. If he invests at the right location, and in the right planning year, his company can make windfall profits. Competitors randomly participate in adding extra generation in random areas of the system based on the competition level settings. The challenge for the user is to study the effects of his investment decisions on market prices, reliability, and his profitability.
The project required the computation of the Line Outage Distribution Factors (LODF) based on a user given branch outage number using the fast-decoupled XB version. The LODF values were used to approximate the post-contingency branch flows based on a pre-contingency branch flow and the base branch flow before the contingency. The AC power flows were compared with the DC method for the MW and MVA flows. Source code is provided in the same WinZip file for the functions calculating the LODF values and the approximated post-contingency branch flows.
A Python based framework for differentiable power system simulation and dynamic optimization
An extension to PowSyBl Open Load Flow to solve the load flow equations with the non-linear solver Knitro
Some scripts for PowerFactory tasks automation
Dynawo integration in powsybl
Study case for the paper "Exploring Operational Flexibility of Active Distribution Networks with Low Observability"
Course notes, concepts, and example projects from the PSCAD Power System Simulation Certification course on Udemy. (2025)
Brief Repository for PS-CAD Simulations in Power System Engineering
CURENT Hardware Testbed and Large-scale Testbed cosimulation
Deprecated, please refer to this repo: https://github.com/CURENT/demo