GitHub

ePowerSim

Documentation for ePowerSim.

ePowerSim.jl is a Julia package for modeling, simulation and analysis of electric power system. The package is designed to present a uniform data interface for static, quasi-static, dynamic analysis, as well as network operation optimisation. The design phylosophy of ePowerSim is premised on Unix systems design phylosophy, which entails creation of small functions that can be used in functional compositions. It provides a co-simulation framework for further development and experimentation of various type of models of electric power systems components or abstract entities that have mathematical formalism or data representation. ePowerSim.jl makes extensive use of cutting edge packages such as DifferentialEquations.jl, Dataframes.jl, NamedTupleTools.jl, Helics.jl, ForwardDiff.jl, JuMP.jl and BifurcationKit just to mention a few in Julia ecosystem.

ePowerSim Under Active Development

The ePowerSim library for electric system components is under heavy development, nevertheless they can be extended by users.

Setup Guide

This package requires Julia >= v1.11.4

To install it, run:

] add https://github.com/DSI-NRF-PENO/ePowerSim.jl.git

Installation of ePowerSim

It is highly recommended that ePoweSim is installed in a new environment.

Getting Started

  • ePowerSim Modeling Concepts - Presents the fundamental concepts behind ePowerSim modeling.

  • Components - Describe electric power system components models.

  • Static Modeling and Simulation - Explains how to use ePowerSim in static modeling, simulations and analyses such as poweflow, distributed power flow, optimal power flow, continuation power flow.

  • Dynamic Modeling and Simulation -Describes how to use ePowerSim to formulate a dynamic model of an electric power system, and subsequently use the packate for simulation and analyses such small-signal stability, system pertubations and co-simulations.

Funding

Development of this project is in part funded by the *South African Department of Science and Innovation (DSI), and National Research Foundation (NRF) under South African Research Chair Initiative (SARChi) in Power, Energy, Network and Optimnisation (Grant Numbers 150572, 2023-2027).