Home > matpower6.0 > t > t_opf_dc_ipopt.m

t_opf_dc_ipopt

PURPOSE ^

T_OPF_DC_MIPS Tests for DC optimal power flow using MIPS solver.

SYNOPSIS ^

function t_opf_dc_mips(quiet)

DESCRIPTION ^

T_OPF_DC_MIPS  Tests for DC optimal power flow using MIPS solver.

CROSS-REFERENCE INFORMATION ^

This function calls: This function is called by:

SOURCE CODE ^

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) 2004-2016, 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 (IPOPT): ';
0046 mpopt = mpoption('out.all', 0, 'verbose', verbose);
0047 mpopt = mpoption(mpopt, 'opf.dc.solver', 'IPOPT');
0048 
0049 %% set up indices
0050 ib_data     = [1:BUS_AREA BASE_KV:VMIN];
0051 ib_voltage  = [VM VA];
0052 ib_lam      = [LAM_P LAM_Q];
0053 ib_mu       = [MU_VMAX MU_VMIN];
0054 ig_data     = [GEN_BUS QMAX QMIN MBASE:APF];
0055 ig_disp     = [PG QG VG];
0056 ig_mu       = (MU_PMAX:MU_QMIN);
0057 ibr_data    = (1:ANGMAX);
0058 ibr_flow    = (PF:QT);
0059 ibr_mu      = [MU_SF MU_ST];
0060 ibr_angmu   = [MU_ANGMIN MU_ANGMAX];
0061 
0062 %% get solved DC power flow case from MAT-file
0063 load soln9_dcopf;       %% defines bus_soln, gen_soln, branch_soln, f_soln
0064 
0065 %% run OPF
0066 t = t0;
0067 [baseMVA, bus, gen, gencost, branch, f, success, et] = rundcopf(casefile, mpopt);
0068 t_ok(success, [t 'success']);
0069 t_is(f, f_soln, 3, [t 'f']);
0070 t_is(   bus(:,ib_data   ),    bus_soln(:,ib_data   ), 10, [t 'bus data']);
0071 t_is(   bus(:,ib_voltage),    bus_soln(:,ib_voltage),  3, [t 'bus voltage']);
0072 t_is(   bus(:,ib_lam    ),    bus_soln(:,ib_lam    ),  3, [t 'bus lambda']);
0073 t_is(   bus(:,ib_mu     ),    bus_soln(:,ib_mu     ),  2, [t 'bus mu']);
0074 t_is(   gen(:,ig_data   ),    gen_soln(:,ig_data   ), 10, [t 'gen data']);
0075 t_is(   gen(:,ig_disp   ),    gen_soln(:,ig_disp   ),  3, [t 'gen dispatch']);
0076 t_is(   gen(:,ig_mu     ),    gen_soln(:,ig_mu     ),  3, [t 'gen mu']);
0077 t_is(branch(:,ibr_data  ), branch_soln(:,ibr_data  ), 10, [t 'branch data']);
0078 t_is(branch(:,ibr_flow  ), branch_soln(:,ibr_flow  ),  3, [t 'branch flow']);
0079 t_is(branch(:,ibr_mu    ), branch_soln(:,ibr_mu    ),  2, [t 'branch mu']);
0080 
0081 %%-----  run OPF with extra linear user constraints & costs  -----
0082 %% two new z variables
0083 %%      0 <= z1, P2 - P1 <= z1
0084 %%      0 <= z2, P2 - P3 <= z2
0085 %% with A and N sized for DC opf
0086 mpc = loadcase(casefile);
0087 mpc.A = sparse([1;1;1;2;2;2],[10;11;13;11;12;14],[-1;1;-1;1;-1;-1],2,14);
0088 mpc.u = [0; 0];
0089 mpc.l = [-Inf; -Inf];
0090 mpc.zl = [0; 0];
0091 
0092 mpc.N = sparse([1;2], [13;14], [1;1], 2, 14);   %% new z variables only
0093 mpc.fparm = ones(2,1) * [1 0 0 1];              %% w = r = z
0094 mpc.H = sparse(2,2);                            %% no quadratic term
0095 mpc.Cw = [1000;1];
0096 
0097 t = [t0 'w/extra constraints & costs 1 : '];
0098 [r, success] = rundcopf(mpc, mpopt);
0099 t_ok(success, [t 'success']);
0100 t_is(r.gen(1, PG), 116.15974, 4, [t 'Pg1 = 116.15974']);
0101 t_is(r.gen(2, PG), 116.15974, 4, [t 'Pg2 = 116.15974']);
0102 t_is(r.var.val.z, [0; 0.3348], 4, [t 'user vars']);
0103 t_is(r.cost.usr, 0.3348, 3, [t 'user costs']);
0104 
0105 %% with A and N sized for AC opf
0106 mpc = loadcase(casefile);
0107 mpc.A = sparse([1;1;1;2;2;2],[19;20;25;20;21;26],[-1;1;-1;1;-1;-1],2,26);
0108 mpc.u = [0; 0];
0109 mpc.l = [-Inf; -Inf];
0110 mpc.zl = [0; 0];
0111 
0112 mpc.N = sparse([1;2], [25;26], [1;1], 2, 26);   %% new z variables only
0113 mpc.fparm = ones(2,1) * [1 0 0 1];              %% w = r = z
0114 mpc.H = sparse(2,2);                            %% no quadratic term
0115 mpc.Cw = [1000;1];
0116 
0117 t = [t0 'w/extra constraints & costs 2 : '];
0118 [r, success] = rundcopf(mpc, mpopt);
0119 t_ok(success, [t 'success']);
0120 t_is(r.gen(1, PG), 116.15974, 4, [t 'Pg1 = 116.15974']);
0121 t_is(r.gen(2, PG), 116.15974, 4, [t 'Pg2 = 116.15974']);
0122 t_is(r.var.val.z, [0; 0.3348], 4, [t 'user vars']);
0123 t_is(r.cost.usr, 0.3348, 3, [t 'user costs']);
0124 
0125 t = [t0 'infeasible : '];
0126 %% with A and N sized for DC opf
0127 mpc = loadcase(casefile);
0128 mpc.A = sparse([1;1], [10;11], [1;1], 1, 14);   %% Pg1 + Pg2
0129 mpc.u = Inf;
0130 mpc.l = 600;
0131 [r, success] = rundcopf(mpc, mpopt);
0132 t_ok(~success, [t 'no success']);
0133 
0134 if have_fcn('octave')
0135     warning(s1.state, file_in_path_warn_id);
0136 end
0137 
0138 t_end;

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