Description of t_opf_dc_mips

0001 function t_opf_dc_mips_sc(quiet)
0002 %T_OPF_DC_MIPS_SC  Tests for DC optimal power flow using MIPS-sc solver.
0003 
0004 %   MATPOWER
0005 %   Copyright (c) 2004-2016, Power Systems Engineering Research Center (PSERC)
0006 %   by Ray Zimmerman, PSERC Cornell
0007 %
0008 %   This file is part of MATPOWER.
0009 %   Covered by the 3-clause BSD License (see LICENSE file for details).
0010 %   See http://www.pserc.cornell.edu/matpower/ for more info.
0011 
0012 if nargin < 1
0013     quiet = 0;
0014 end
0015 
0016 num_tests = 23;
0017 
0018 t_begin(num_tests, quiet);
0019 
0020 [PQ, PV, REF, NONE, BUS_I, BUS_TYPE, PD, QD, GS, BS, BUS_AREA, VM, ...
0021     VA, BASE_KV, ZONE, VMAX, VMIN, LAM_P, LAM_Q, MU_VMAX, MU_VMIN] = idx_bus;
0022 [GEN_BUS, PG, QG, QMAX, QMIN, VG, MBASE, GEN_STATUS, PMAX, PMIN, ...
0023     MU_PMAX, MU_PMIN, MU_QMAX, MU_QMIN, PC1, PC2, QC1MIN, QC1MAX, ...
0024     QC2MIN, QC2MAX, RAMP_AGC, RAMP_10, RAMP_30, RAMP_Q, APF] = idx_gen;
0025 [F_BUS, T_BUS, BR_R, BR_X, BR_B, RATE_A, RATE_B, RATE_C, ...
0026     TAP, SHIFT, BR_STATUS, PF, QF, PT, QT, MU_SF, MU_ST, ...
0027     ANGMIN, ANGMAX, MU_ANGMIN, MU_ANGMAX] = idx_brch;
0028 
0029 casefile = 't_case9_opf';
0030 if quiet
0031     verbose = 0;
0032 else
0033     verbose = 0;
0034 end
0035 if have_fcn('octave')
0036     if have_fcn('octave', 'vnum') >= 4
0037         file_in_path_warn_id = 'Octave:data-file-in-path';
0038     else
0039         file_in_path_warn_id = 'Octave:load-file-in-path';
0040     end
0041     s1 = warning('query', file_in_path_warn_id);
0042     warning('off', file_in_path_warn_id);
0043 end
0044 
0045 t0 = 'DC OPF (MIPS-sc): ';
0046 mpopt = mpoption('out.all', 0, 'verbose', verbose);
0047 mpopt = mpoption(mpopt, 'opf.dc.solver', 'MIPS', 'mips.step_control', 1);
0048 
0049 if have_fcn('octave')
0050     sing_matrix_warn_id = 'Octave:singular-matrix';
0051 else
0052     sing_matrix_warn_id = 'MATLAB:singularMatrix';
0053 end
0054 s2 = warning('query', sing_matrix_warn_id);
0055 
0056 %% set up indices
0057 ib_data     = [1:BUS_AREA BASE_KV:VMIN];
0058 ib_voltage  = [VM VA];
0059 ib_lam      = [LAM_P LAM_Q];
0060 ib_mu       = [MU_VMAX MU_VMIN];
0061 ig_data     = [GEN_BUS QMAX QMIN MBASE:APF];
0062 ig_disp     = [PG QG VG];
0063 ig_mu       = (MU_PMAX:MU_QMIN);
0064 ibr_data    = (1:ANGMAX);
0065 ibr_flow    = (PF:QT);
0066 ibr_mu      = [MU_SF MU_ST];
0067 ibr_angmu   = [MU_ANGMIN MU_ANGMAX];
0068 
0069 %% get solved DC power flow case from MAT-file
0070 load soln9_dcopf;       %% defines bus_soln, gen_soln, branch_soln, f_soln
0071 
0072 %% run OPF
0073 t = t0;
0074 [baseMVA, bus, gen, gencost, branch, f, success, et] = rundcopf(casefile, mpopt);
0075 t_ok(success, [t 'success']);
0076 t_is(f, f_soln, 3, [t 'f']);
0077 t_is(   bus(:,ib_data   ),    bus_soln(:,ib_data   ), 10, [t 'bus data']);
0078 t_is(   bus(:,ib_voltage),    bus_soln(:,ib_voltage),  3, [t 'bus voltage']);
0079 t_is(   bus(:,ib_lam    ),    bus_soln(:,ib_lam    ),  3, [t 'bus lambda']);
0080 t_is(   bus(:,ib_mu     ),    bus_soln(:,ib_mu     ),  2, [t 'bus mu']);
0081 t_is(   gen(:,ig_data   ),    gen_soln(:,ig_data   ), 10, [t 'gen data']);
0082 t_is(   gen(:,ig_disp   ),    gen_soln(:,ig_disp   ),  3, [t 'gen dispatch']);
0083 t_is(   gen(:,ig_mu     ),    gen_soln(:,ig_mu     ),  3, [t 'gen mu']);
0084 t_is(branch(:,ibr_data  ), branch_soln(:,ibr_data  ), 10, [t 'branch data']);
0085 t_is(branch(:,ibr_flow  ), branch_soln(:,ibr_flow  ),  3, [t 'branch flow']);
0086 t_is(branch(:,ibr_mu    ), branch_soln(:,ibr_mu    ),  2, [t 'branch mu']);
0087 
0088 %%-----  run OPF with extra linear user constraints & costs  -----
0089 %% two new z variables
0090 %%      0 <= z1, P2 - P1 <= z1
0091 %%      0 <= z2, P2 - P3 <= z2
0092 %% with A and N sized for DC opf
0093 mpc = loadcase(casefile);
0094 mpc.A = sparse([1;1;1;2;2;2],[10;11;13;11;12;14],[-1;1;-1;1;-1;-1],2,14);
0095 mpc.u = [0; 0];
0096 mpc.l = [-Inf; -Inf];
0097 mpc.zl = [0; 0];
0098 
0099 mpc.N = sparse([1;2], [13;14], [1;1], 2, 14);   %% new z variables only
0100 mpc.fparm = ones(2,1) * [1 0 0 1];              %% w = r = z
0101 mpc.H = sparse(2,2);                            %% no quadratic term
0102 mpc.Cw = [1000;1];
0103 
0104 t = [t0 'w/extra constraints & costs 1 : '];
0105 [r, success] = rundcopf(mpc, mpopt);
0106 t_ok(success, [t 'success']);
0107 t_is(r.gen(1, PG), 116.15974, 4, [t 'Pg1 = 116.15974']);
0108 t_is(r.gen(2, PG), 116.15974, 4, [t 'Pg2 = 116.15974']);
0109 t_is(r.var.val.z, [0; 0.3348], 4, [t 'user vars']);
0110 t_is(r.cost.usr, 0.3348, 3, [t 'user costs']);
0111 
0112 %% with A and N sized for AC opf
0113 mpc = loadcase(casefile);
0114 mpc.A = sparse([1;1;1;2;2;2],[19;20;25;20;21;26],[-1;1;-1;1;-1;-1],2,26);
0115 mpc.u = [0; 0];
0116 mpc.l = [-Inf; -Inf];
0117 mpc.zl = [0; 0];
0118 
0119 mpc.N = sparse([1;2], [25;26], [1;1], 2, 26);   %% new z variables only
0120 mpc.fparm = ones(2,1) * [1 0 0 1];              %% w = r = z
0121 mpc.H = sparse(2,2);                            %% no quadratic term
0122 mpc.Cw = [1000;1];
0123 
0124 t = [t0 'w/extra constraints & costs 2 : '];
0125 [r, success] = rundcopf(mpc, mpopt);
0126 t_ok(success, [t 'success']);
0127 t_is(r.gen(1, PG), 116.15974, 4, [t 'Pg1 = 116.15974']);
0128 t_is(r.gen(2, PG), 116.15974, 4, [t 'Pg2 = 116.15974']);
0129 t_is(r.var.val.z, [0; 0.3348], 4, [t 'user vars']);
0130 t_is(r.cost.usr, 0.3348, 3, [t 'user costs']);
0131 
0132 t = [t0 'infeasible : '];
0133 warning('off', sing_matrix_warn_id);
0134 %% with A and N sized for DC opf
0135 mpc = loadcase(casefile);
0136 mpc.A = sparse([1;1], [10;11], [1;1], 1, 14);   %% Pg1 + Pg2
0137 mpc.u = Inf;
0138 mpc.l = 600;
0139 [r, success] = rundcopf(mpc, mpopt);
0140 t_ok(~success, [t 'no success']);
0141 
0142 if have_fcn('octave')
0143     warning(s1.state, file_in_path_warn_id);
0144 end
0145 warning(s2.state, sing_matrix_warn_id);
0146 
0147 t_end;
t_opf_dc_mips_sc

PURPOSE

SYNOPSIS

DESCRIPTION

CROSS-REFERENCE INFORMATION

SOURCE CODE
