Home > matpower5.0 > t > t_opf_dc_bpmpd.m

t_opf_dc_bpmpd

PURPOSE ^

T_OPF_DC_BPMPD Tests for DC optimal power flow using BPMPD_MEX solver.

SYNOPSIS ^

function t_opf_dc_bpmpd(quiet)

DESCRIPTION ^

T_OPF_DC_BPMPD  Tests for DC optimal power flow using BPMPD_MEX solver.

CROSS-REFERENCE INFORMATION ^

This function calls: This function is called by:

SOURCE CODE ^

0001 function t_opf_dc_bpmpd(quiet)
0002 %T_OPF_DC_BPMPD  Tests for DC optimal power flow using BPMPD_MEX solver.
0003 
0004 %   MATPOWER
0005 %   $Id: t_opf_dc_bpmpd.m 2229 2013-12-11 01:28:09Z ray $
0006 %   by Ray Zimmerman, PSERC Cornell
0007 %   Copyright (c) 2004-2010 by Power System Engineering Research Center (PSERC)
0008 %
0009 %   This file is part of MATPOWER.
0010 %   See http://www.pserc.cornell.edu/matpower/ for more info.
0011 %
0012 %   MATPOWER is free software: you can redistribute it and/or modify
0013 %   it under the terms of the GNU General Public License as published
0014 %   by the Free Software Foundation, either version 3 of the License,
0015 %   or (at your option) any later version.
0016 %
0017 %   MATPOWER is distributed in the hope that it will be useful,
0018 %   but WITHOUT ANY WARRANTY; without even the implied warranty of
0019 %   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
0020 %   GNU General Public License for more details.
0021 %
0022 %   You should have received a copy of the GNU General Public License
0023 %   along with MATPOWER. If not, see <http://www.gnu.org/licenses/>.
0024 %
0025 %   Additional permission under GNU GPL version 3 section 7
0026 %
0027 %   If you modify MATPOWER, or any covered work, to interface with
0028 %   other modules (such as MATLAB code and MEX-files) available in a
0029 %   MATLAB(R) or comparable environment containing parts covered
0030 %   under other licensing terms, the licensors of MATPOWER grant
0031 %   you additional permission to convey the resulting work.
0032 
0033 if nargin < 1
0034     quiet = 0;
0035 end
0036 
0037 num_tests = 23;
0038 
0039 t_begin(num_tests, quiet);
0040 
0041 [PQ, PV, REF, NONE, BUS_I, BUS_TYPE, PD, QD, GS, BS, BUS_AREA, VM, ...
0042     VA, BASE_KV, ZONE, VMAX, VMIN, LAM_P, LAM_Q, MU_VMAX, MU_VMIN] = idx_bus;
0043 [GEN_BUS, PG, QG, QMAX, QMIN, VG, MBASE, GEN_STATUS, PMAX, PMIN, ...
0044     MU_PMAX, MU_PMIN, MU_QMAX, MU_QMIN, PC1, PC2, QC1MIN, QC1MAX, ...
0045     QC2MIN, QC2MAX, RAMP_AGC, RAMP_10, RAMP_30, RAMP_Q, APF] = idx_gen;
0046 [F_BUS, T_BUS, BR_R, BR_X, BR_B, RATE_A, RATE_B, RATE_C, ...
0047     TAP, SHIFT, BR_STATUS, PF, QF, PT, QT, MU_SF, MU_ST, ...
0048     ANGMIN, ANGMAX, MU_ANGMIN, MU_ANGMAX] = idx_brch;
0049 
0050 casefile = 't_case9_opf';
0051 if quiet
0052     verbose = 0;
0053 else
0054     verbose = 0;
0055 end
0056 
0057 t0 = 'DC OPF (BPMPD): ';
0058 mpopt = mpoption('out.all', 0, 'verbose', verbose);
0059 mpopt = mpoption(mpopt, 'opf.dc.solver', 'BPMPD');
0060 
0061 %% run DC OPF
0062 if have_fcn('bpmpd')
0063     %% set up indices
0064     ib_data     = [1:BUS_AREA BASE_KV:VMIN];
0065     ib_voltage  = [VM VA];
0066     ib_lam      = [LAM_P LAM_Q];
0067     ib_mu       = [MU_VMAX MU_VMIN];
0068     ig_data     = [GEN_BUS QMAX QMIN MBASE:APF];
0069     ig_disp     = [PG QG VG];
0070     ig_mu       = (MU_PMAX:MU_QMIN);
0071     ibr_data    = (1:ANGMAX);
0072     ibr_flow    = (PF:QT);
0073     ibr_mu      = [MU_SF MU_ST];
0074     ibr_angmu   = [MU_ANGMIN MU_ANGMAX];
0075     
0076     %% get solved DC power flow case from MAT-file
0077     load soln9_dcopf;       %% defines bus_soln, gen_soln, branch_soln, f_soln
0078     
0079     %% run OPF
0080     t = t0;
0081     [baseMVA, bus, gen, gencost, branch, f, success, et] = rundcopf(casefile, mpopt);
0082     t_ok(success, [t 'success']);
0083     t_is(f, f_soln, 3, [t 'f']);
0084     t_is(   bus(:,ib_data   ),    bus_soln(:,ib_data   ), 10, [t 'bus data']);
0085     t_is(   bus(:,ib_voltage),    bus_soln(:,ib_voltage),  3, [t 'bus voltage']);
0086     t_is(   bus(:,ib_lam    ),    bus_soln(:,ib_lam    ),  3, [t 'bus lambda']);
0087     t_is(   bus(:,ib_mu     ),    bus_soln(:,ib_mu     ),  2, [t 'bus mu']);
0088     t_is(   gen(:,ig_data   ),    gen_soln(:,ig_data   ), 10, [t 'gen data']);
0089     t_is(   gen(:,ig_disp   ),    gen_soln(:,ig_disp   ),  3, [t 'gen dispatch']);
0090     t_is(   gen(:,ig_mu     ),    gen_soln(:,ig_mu     ),  3, [t 'gen mu']);
0091     t_is(branch(:,ibr_data  ), branch_soln(:,ibr_data  ), 10, [t 'branch data']);
0092     t_is(branch(:,ibr_flow  ), branch_soln(:,ibr_flow  ),  3, [t 'branch flow']);
0093     t_is(branch(:,ibr_mu    ), branch_soln(:,ibr_mu    ),  2, [t 'branch mu']);
0094 
0095     %%-----  run OPF with extra linear user constraints & costs  -----
0096     %% two new z variables
0097     %%      0 <= z1, P2 - P1 <= z1
0098     %%      0 <= z2, P2 - P3 <= z2
0099     %% with A and N sized for DC opf
0100     mpc = loadcase(casefile);
0101     mpc.A = sparse([1;1;1;2;2;2],[10;11;13;11;12;14],[-1;1;-1;1;-1;-1],2,14);
0102     mpc.u = [0; 0];
0103     mpc.l = [-Inf; -Inf];
0104     mpc.zl = [0; 0];
0105     
0106     mpc.N = sparse([1;2], [13;14], [1;1], 2, 14);   %% new z variables only
0107     mpc.fparm = ones(2,1) * [1 0 0 1];              %% w = r = z
0108     mpc.H = sparse(2,2);                            %% no quadratic term
0109     mpc.Cw = [1000;1];
0110 
0111     t = [t0 'w/extra constraints & costs 1 : '];
0112     [r, success] = rundcopf(mpc, mpopt);
0113     t_ok(success, [t 'success']);
0114     t_is(r.gen(1, PG), 116.15974, 5, [t 'Pg1 = 116.15974']);
0115     t_is(r.gen(2, PG), 116.15974, 5, [t 'Pg2 = 116.15974']);
0116     t_is(r.var.val.z, [0; 0.3348], 4, [t 'user vars']);
0117     t_is(r.cost.usr, 0.3348, 4, [t 'user costs']);
0118 
0119     %% with A and N sized for AC opf
0120     mpc = loadcase(casefile);
0121     mpc.A = sparse([1;1;1;2;2;2],[19;20;25;20;21;26],[-1;1;-1;1;-1;-1],2,26);
0122     mpc.u = [0; 0];
0123     mpc.l = [-Inf; -Inf];
0124     mpc.zl = [0; 0];
0125 
0126     mpc.N = sparse([1;2], [25;26], [1;1], 2, 26);   %% new z variables only
0127     mpc.fparm = ones(2,1) * [1 0 0 1];              %% w = r = z
0128     mpc.H = sparse(2,2);                            %% no quadratic term
0129     mpc.Cw = [1000;1];
0130 
0131     t = [t0 'w/extra constraints & costs 2 : '];
0132     [r, success] = rundcopf(mpc, mpopt);
0133     t_ok(success, [t 'success']);
0134     t_is(r.gen(1, PG), 116.15974, 5, [t 'Pg1 = 116.15974']);
0135     t_is(r.gen(2, PG), 116.15974, 5, [t 'Pg2 = 116.15974']);
0136     t_is(r.var.val.z, [0; 0.3348], 4, [t 'user vars']);
0137     t_is(r.cost.usr, 0.3348, 4, [t 'user costs']);
0138 
0139     t = [t0 'infeasible : '];
0140     %% with A and N sized for DC opf
0141     mpc = loadcase(casefile);
0142     mpc.A = sparse([1;1], [10;11], [1;1], 1, 14);   %% Pg1 + Pg2
0143     mpc.u = Inf;
0144     mpc.l = 600;
0145     [r, success] = rundcopf(mpc, mpopt);
0146     t_ok(~success, [t 'no success']);
0147 else
0148     t_skip(num_tests, 'BPMPD_MEX not available');
0149 end
0150 
0151 t_end;
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