Quick Start Guide

Once PowerModelsAnalytics.jl is installed, Plots.jl is installed, and a Plots.jl backend is installed (we will use Plotly, which is included in Plots.jl, for this guide), and a network data file (e.g. case5.m" in the PowerModels.jl package folder under ./test/data/matpower) has been acquired, the network can be plotted with,

using PowerModels, PowerModelsAnalytics
using Plots
plotly()

data = PowerModels.parse_file("$(joinpath(dirname(pathof(PowerModels)), ".."))/test/data/matpower/case5.m")
plot_network(data)

IJulia Example Output

using PowerModelsAnalytics
import PowerModels
import PowerModelsDistribution
import Ipopt

PowerModels.silence()

ENV["GRDIR"]=""
import Plots
Plots.gr()

Plots.GRBackend()

case5 = PowerModels.parse_file("$(joinpath(dirname(pathof(PowerModels)), ".."))/test/data/matpower/case5.m");
case24 = PowerModels.parse_file("$(joinpath(dirname(pathof(PowerModels)), ".."))/test/data/matpower/case24.m");
case_distribution = PowerModelsDistribution.parse_file("$(joinpath(dirname(pathof(PowerModelsDistribution)), ".."))/test/data/opendss/test2_master.dss");

graph = plot_network(case5;
    node_size_limits=[10, 15],
    edge_width_limits=[2, 3],
    label_nodes=true,
    fontsize=10,
    plot_size=(600,600),
    plot_dpi=100);

graph = plot_network(case24; aggregate_extra_nodes=true,
    node_size_limits=[10, 15],
    edge_width_limits=[2, 3],
    label_nodes=true,
    fontsize=10,
    plot_size=(600,600),
    plot_dpi=100);

graph = plot_network(case_distribution; aggregate_extra_nodes=true,
    node_size_limits=[10, 15],
    edge_width_limits=[2, 3],
    label_nodes=true,
    fontsize=10,
    plot_size=(600,600),
    plot_dpi=100);