Description of t_opf_dc

0001 function t_opf_dc_mips(quiet)
0002 %T_OPF_DC_MIPS  Tests for DC optimal power flow using MIPS solver.
0003 
0004 %   MATPOWER
0005 %   Copyright (c) 2004-2015 by Power System Engineering Research Center (PSERC)
0006 %   by Ray Zimmerman, PSERC Cornell
0007 %
0008 %   $Id: t_opf_dc_mips.m 2662 2015-03-20 20:02:08Z ray $
0009 %
0010 %   This file is part of MATPOWER.
0011 %   Covered by the 3-clause BSD License (see LICENSE file for details).
0012 %   See http://www.pserc.cornell.edu/matpower/ for more info.
0013 
0014 if nargin < 1
0015     quiet = 0;
0016 end
0017 
0018 num_tests = 23;
0019 
0020 t_begin(num_tests, quiet);
0021 
0022 [PQ, PV, REF, NONE, BUS_I, BUS_TYPE, PD, QD, GS, BS, BUS_AREA, VM, ...
0023     VA, BASE_KV, ZONE, VMAX, VMIN, LAM_P, LAM_Q, MU_VMAX, MU_VMIN] = idx_bus;
0024 [GEN_BUS, PG, QG, QMAX, QMIN, VG, MBASE, GEN_STATUS, PMAX, PMIN, ...
0025     MU_PMAX, MU_PMIN, MU_QMAX, MU_QMIN, PC1, PC2, QC1MIN, QC1MAX, ...
0026     QC2MIN, QC2MAX, RAMP_AGC, RAMP_10, RAMP_30, RAMP_Q, APF] = idx_gen;
0027 [F_BUS, T_BUS, BR_R, BR_X, BR_B, RATE_A, RATE_B, RATE_C, ...
0028     TAP, SHIFT, BR_STATUS, PF, QF, PT, QT, MU_SF, MU_ST, ...
0029     ANGMIN, ANGMAX, MU_ANGMIN, MU_ANGMAX] = idx_brch;
0030 
0031 casefile = 't_case9_opf';
0032 if quiet
0033     verbose = 0;
0034 else
0035     verbose = 0;
0036 end
0037 if have_fcn('octave')
0038     if have_fcn('octave', 'vnum') >= 4
0039         file_in_path_warn_id = 'Octave:data-file-in-path';
0040     else
0041         file_in_path_warn_id = 'Octave:load-file-in-path';
0042     end
0043     s1 = warning('query', file_in_path_warn_id);
0044     warning('off', file_in_path_warn_id);
0045 end
0046 
0047 t0 = 'DC OPF (MIPS): ';
0048 mpopt = mpoption('out.all', 0, 'verbose', verbose);
0049 mpopt = mpoption(mpopt, 'opf.dc.solver', 'MIPS');
0050 
0051 if have_fcn('octave')
0052     sing_matrix_warn_id = 'Octave:singular-matrix';
0053 else
0054     sing_matrix_warn_id = 'MATLAB:singularMatrix';
0055 end
0056 s2 = warning('query', sing_matrix_warn_id);
0057 
0058 %% set up indices
0059 ib_data     = [1:BUS_AREA BASE_KV:VMIN];
0060 ib_voltage  = [VM VA];
0061 ib_lam      = [LAM_P LAM_Q];
0062 ib_mu       = [MU_VMAX MU_VMIN];
0063 ig_data     = [GEN_BUS QMAX QMIN MBASE:APF];
0064 ig_disp     = [PG QG VG];
0065 ig_mu       = (MU_PMAX:MU_QMIN);
0066 ibr_data    = (1:ANGMAX);
0067 ibr_flow    = (PF:QT);
0068 ibr_mu      = [MU_SF MU_ST];
0069 ibr_angmu   = [MU_ANGMIN MU_ANGMAX];
0070 
0071 %% get solved DC power flow case from MAT-file
0072 load soln9_dcopf;       %% defines bus_soln, gen_soln, branch_soln, f_soln
0073 
0074 %% run OPF
0075 t = t0;
0076 [baseMVA, bus, gen, gencost, branch, f, success, et] = rundcopf(casefile, mpopt);
0077 t_ok(success, [t 'success']);
0078 t_is(f, f_soln, 3, [t 'f']);
0079 t_is(   bus(:,ib_data   ),    bus_soln(:,ib_data   ), 10, [t 'bus data']);
0080 t_is(   bus(:,ib_voltage),    bus_soln(:,ib_voltage),  3, [t 'bus voltage']);
0081 t_is(   bus(:,ib_lam    ),    bus_soln(:,ib_lam    ),  3, [t 'bus lambda']);
0082 t_is(   bus(:,ib_mu     ),    bus_soln(:,ib_mu     ),  2, [t 'bus mu']);
0083 t_is(   gen(:,ig_data   ),    gen_soln(:,ig_data   ), 10, [t 'gen data']);
0084 t_is(   gen(:,ig_disp   ),    gen_soln(:,ig_disp   ),  3, [t 'gen dispatch']);
0085 t_is(   gen(:,ig_mu     ),    gen_soln(:,ig_mu     ),  3, [t 'gen mu']);
0086 t_is(branch(:,ibr_data  ), branch_soln(:,ibr_data  ), 10, [t 'branch data']);
0087 t_is(branch(:,ibr_flow  ), branch_soln(:,ibr_flow  ),  3, [t 'branch flow']);
0088 t_is(branch(:,ibr_mu    ), branch_soln(:,ibr_mu    ),  2, [t 'branch mu']);
0089 
0090 %%-----  run OPF with extra linear user constraints & costs  -----
0091 %% two new z variables
0092 %%      0 <= z1, P2 - P1 <= z1
0093 %%      0 <= z2, P2 - P3 <= z2
0094 %% with A and N sized for DC opf
0095 mpc = loadcase(casefile);
0096 mpc.A = sparse([1;1;1;2;2;2],[10;11;13;11;12;14],[-1;1;-1;1;-1;-1],2,14);
0097 mpc.u = [0; 0];
0098 mpc.l = [-Inf; -Inf];
0099 mpc.zl = [0; 0];
0100 
0101 mpc.N = sparse([1;2], [13;14], [1;1], 2, 14);   %% new z variables only
0102 mpc.fparm = ones(2,1) * [1 0 0 1];              %% w = r = z
0103 mpc.H = sparse(2,2);                            %% no quadratic term
0104 mpc.Cw = [1000;1];
0105 
0106 t = [t0 'w/extra constraints & costs 1 : '];
0107 [r, success] = rundcopf(mpc, mpopt);
0108 t_ok(success, [t 'success']);
0109 t_is(r.gen(1, PG), 116.15974, 4, [t 'Pg1 = 116.15974']);
0110 t_is(r.gen(2, PG), 116.15974, 4, [t 'Pg2 = 116.15974']);
0111 t_is(r.var.val.z, [0; 0.3348], 4, [t 'user vars']);
0112 t_is(r.cost.usr, 0.3348, 3, [t 'user costs']);
0113 
0114 %% with A and N sized for AC opf
0115 mpc = loadcase(casefile);
0116 mpc.A = sparse([1;1;1;2;2;2],[19;20;25;20;21;26],[-1;1;-1;1;-1;-1],2,26);
0117 mpc.u = [0; 0];
0118 mpc.l = [-Inf; -Inf];
0119 mpc.zl = [0; 0];
0120 
0121 mpc.N = sparse([1;2], [25;26], [1;1], 2, 26);   %% new z variables only
0122 mpc.fparm = ones(2,1) * [1 0 0 1];              %% w = r = z
0123 mpc.H = sparse(2,2);                            %% no quadratic term
0124 mpc.Cw = [1000;1];
0125 
0126 t = [t0 'w/extra constraints & costs 2 : '];
0127 [r, success] = rundcopf(mpc, mpopt);
0128 t_ok(success, [t 'success']);
0129 t_is(r.gen(1, PG), 116.15974, 4, [t 'Pg1 = 116.15974']);
0130 t_is(r.gen(2, PG), 116.15974, 4, [t 'Pg2 = 116.15974']);
0131 t_is(r.var.val.z, [0; 0.3348], 4, [t 'user vars']);
0132 t_is(r.cost.usr, 0.3348, 3, [t 'user costs']);
0133 
0134 t = [t0 'infeasible : '];
0135 warning('off', sing_matrix_warn_id);
0136 %% with A and N sized for DC opf
0137 mpc = loadcase(casefile);
0138 mpc.A = sparse([1;1], [10;11], [1;1], 1, 14);   %% Pg1 + Pg2
0139 mpc.u = Inf;
0140 mpc.l = 600;
0141 [r, success] = rundcopf(mpc, mpopt);
0142 t_ok(~success, [t 'no success']);
0143 
0144 if have_fcn('octave')
0145     warning(s1.state, file_in_path_warn_id);
0146 end
0147 warning(s2.state, sing_matrix_warn_id);
0148 
0149 t_end;
t_opf_dc_mips

PURPOSE

SYNOPSIS

DESCRIPTION

CROSS-REFERENCE INFORMATION

SOURCE CODE
