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main_cplx.jl
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ROOT = pwd()
include(joinpath(ROOT, "src_SOShierarchy", "SOShierarchy.jl"))
function main()
rmeqs = false
OPFpbs = load_OPFproblems(MatpowerInput, joinpath("..", "data", "data_Matpower", "matpower", "WB2.m"))
problem = build_globalpb!(OPFpbs)
!rmeqs || change_eq_to_ineq!(problem)
relax_ctx = set_relaxation(problem; hierarchykind=:Complex,
# symmetries=[PhaseInvariance],
d = 1)
println("\n--------------------------------------------------------")
println("problem = \n$problem")
println("\n--------------------------------------------------------")
println("relax_ctx = \n$relax_ctx")
########################################
# Construction du sparsity pattern, extension chordale, cliques maximales.
max_cliques = get_maxcliques(relax_ctx, problem)
println("\n--------------------------------------------------------")
println("max cliques =\n$max_cliques")
########################################
# Compute moment and localizing matrices parameters: order et variables
momentmat_param, localizingmat_param = build_sparsity(relax_ctx, problem, max_cliques)
println("\n--------------------------------------------------------")
println("moment params =")
for (cliquename, dcl) in momentmat_param
println("Moment matrix, $cliquename \t -> dcl = $dcl")
end
for (key, (val1, val2)) in localizingmat_param
@printf("%15s \t -> di-ki = %i, \tcliques = ", key, val2)
for clique in val1 print("$clique, ") end
@printf("\b\b \n")
end
########################################
# Build the moment relaxation problem
mmtrel_pb = MomentRelaxation{Complex128}(relax_ctx, problem, momentmat_param, localizingmat_param, max_cliques)
println("\n--------------------------------------------------------")
println("mmtrel_pb = $mmtrel_pb")
########################################
# Convert to a primal SDP problem
sdpinstance = build_SDPInstance(relax_ctx, mmtrel_pb)
println("\n--------------------------------------------------------")
println("sdpinstance CPLX = \n$sdpinstance")
path = joinpath(pwd(), "Mosek_runs", "worksdp_cplx")
mkpath(path)
export_SDP(sdpinstance, path, renamemoments=false)
## Real instance
sdpreal = SDPInstance_cplx2real(sdpinstance)
println("\n--------------------------------------------------------")
println("sdpinstance REAL = \n$sdpreal")
path = joinpath(pwd(), "Mosek_runs", "worksdp_real")
ispath(path) && rm(path, recursive=true)
mkpath(path)
export_SDP(sdpreal, path, renamemoments=false)
# sdp_instance = read_SDPInstance(path)
# println("VAR_TYPES size: $(size(sdp_instance.VAR_TYPES))")
# println("BLOCKS size: $(size(sdp_instance.BLOCKS))")
# println("LINEAR size: $(size(sdp_instance.LINEAR))")
# println("CONST size: $(size(sdp_instance.CONST))")
# sdp = SDP_Problem()
# set_constraints!(sdp, sdp_instance)
# set_vartypes!(sdp, sdp_instance)
# set_blocks!(sdp, sdp_instance)
# set_linvars!(sdp, sdp_instance)
# set_matrices!(sdp, sdp_instance)
# set_linear!(sdp, sdp_instance)
# set_const!(sdp, sdp_instance)
# # println(sdp)
# primal = SortedDict{Tuple{String,String,String}, Float64}()
# dual = SortedDict{Tuple{String, String, String}, Float64}()
# primobj, dualobj = solve_mosek(sdp::SDP_Problem, primal, dual)
# # println("Primal solution")
# # for ((blockname, var1, var2), val) in primal
# # @printf("%15s %5s %5s %f\n", blockname, var1, var2, val)
# # end
# # println("\nDual solution NEGATED")
# # for var in problem.variables
# # ctrname = get_momentcstrname()
# # var1 = var[1]
# # var2 = "1"
# # val = dual[(ctrname, var1, var2)]
# # println("($(ctrname), $(var1), $(var2)) = $(-val)")
# # end
# println("Objectives : $primobj, $dualobj")
return path
end
function run_mosek(path::String)
sdp_instance = read_SDPInstance(path)
println("VAR_TYPES size: $(size(sdp_instance.VAR_TYPES))")
println("BLOCKS size: $(size(sdp_instance.BLOCKS))")
println("LINEAR size: $(size(sdp_instance.LINEAR))")
println("CONST size: $(size(sdp_instance.CONST))")
sdp = SDP_Problem()
set_constraints!(sdp, sdp_instance)
set_vartypes!(sdp, sdp_instance)
set_blocks!(sdp, sdp_instance)
set_linvars!(sdp, sdp_instance)
set_matrices!(sdp, sdp_instance)
set_linear!(sdp, sdp_instance)
set_const!(sdp, sdp_instance)
# println(sdp)
primal = SortedDict{Tuple{String,String,String}, Float64}()
dual = SortedDict{Tuple{String, String, String}, Float64}()
primobj, dualobj = solve_mosek(sdp::SDP_Problem, primal, dual)
end
main()