JuliaGrid

JuliaGrid is an open-source, easy-to-use simulation tool/solver for researchers and educators provided as a Julia package, with source code released under MIT License. JuliaGrid is inspired by the Matpower, an open-source steady-state power system solver, and allows a variety of display and manipulation options.

The software package, among other things, includes:

• AC power flow analysis,
• DC power flow analysis,
• non-linear state estimation (work in progress),
• linear DC state estimation,
• linear state estimation with PMUs,
• least absolute value state estimation,
• bad data processing,
• observability analysis,
• optimal PMU placement.

Main Features

Features supported by JuliaGrid can be categorised into three main groups:

• Power Flow - performs the AC and DC power flow analysis using the executive function runpf(),

• State Estimation - performs non-linear, DC and PMU state estimation using the executive function runse(),

• Standalone Measurement Generator - generates a set of measurements using the executive function runmg().

Installation

JuliaGrid requires Julia 1.2 and higher. To install JuliaGrid package, run the following command:

pkg> add https://github.com/mcosovic/JuliaGrid.jl

To load the package, use the command:

julia> using JuliaGrid

Quick Start Power Flow

julia> results, system, info = runpf("dc", "case14.h5", "main", "flow", "generation")

julia> results, = runpf("nr", "case14.xlsx", "main"; max = 20, stop = 1.0e-8)

Quick Start State Estimation

julia> results, = runse("case30se.h5", "dc", "estimate"; bad = ["pass" 2 "threshold" 3.5])

julia> results, = runse("case14se.xlsx", "pmu", "main", "estimate")

Quick Start Measurement Generator

julia> measurements, system, info = rungen("case14.h5"; pmuset = "optimal", pmuvariance = ["complete" 1e-5])

julia> measurements, = rungen("case14.h5"; legacyset = ["redundancy" 3.1], legacyvariance = ["complete" 1e-4])