ots.jl

using JSON, DataFrames, CSV, Ipopt, PowerModels, PowerModelsGMD, JuMP, Debugger, Juniper, Cbc

#path = "data/b4gic.m"
path = "/home/abarnes/.julia/environments/v1.1/dev/PowerModelsGMD/test/data/ots_test.m"
path = "/home/abarnes/.julia/packages/PowerModels/mI6yi/test/data/matpower/case3.m"
net = PowerModels.parse_file(path)
#pm = PowerModels.build_model(net, ACPPowerModel, PowerModels.post_ots; ref_extensions=[PowerModels.ref_add_on_off_va_bounds!], solution_builder = PowerModels.solution_ots!)
pm = PowerModels.build_model(net, ACPPowerModel, PowerModels.post_ots; ref_extensions=[PowerModels.ref_add_on_off_va_bounds!])

ipopt_solver = JuMP.with_optimizer(Ipopt.Optimizer, tol=1e-6, print_level=0)
cbc_solver = JuMP.with_optimizer(Cbc.Optimizer, logLevel=0)
juniper_solver = JuMP.with_optimizer(Juniper.Optimizer, nl_solver=ipopt_solver, mip_solver=cbc_solver, log_levels=[])

branch_setting = Dict{AbstractString,Any}("output" => Dict{AbstractString,Any}("line_flows" => true))
result = run_ots(path, ACPPowerModel, juniper_solver)