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t_most_30b_3_1_17.m
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t_most_30b_3_1_17.m
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function t_most_30b_3_1_17(quiet)
% t_most_30b_3_1_17 - Tests for MOST, 30-bus, 3 periods, 17 contingencies.
% MOST
% Copyright (c) 2009-2024, Power Systems Engineering Research Center (PSERC)
% by Ray Zimmerman, PSERC Cornell
%
% This file is part of MOST.
% Covered by the 3-clause BSD License (see LICENSE file for details).
% See https://github.com/MATPOWER/most for more info.
if nargin < 1
quiet = 0;
end
n_tests = 96;
t_begin(n_tests, quiet);
casename = 't_case30_most';
fudging = struct( ... %% paramters for fudging reserve contract for sopf2
'fudge', 0.05, ... %% initial value (MW)
'step', 0.01, ... %% if necessary, increase by this amount and retry (MW)
'lim', 0.1); %% upper limit (MW), give up if no convergence
%% with fudge equal to this limit
%% options
algs.dc = {'DEFAULT'}; %% opf.dc.solver sequence to try for c3sopf (DC run)
algs.ac = {'DEFAULT'}; %% opf.ac.solver sequence to try for c3sopf (AC run)
mpopt = mpoption('verbose', 0, 'out.all', 0);
mpopt = mpoption(mpopt, 'opf.violation', 5e-7, 'mips.comptol', 5e-8);
mpopt = mpoption(mpopt, 'sopf.force_Pc_eq_P0', 0); %% don't constrain contracted == base case dispatch
if have_feature('gurobi')
mpopt = mpoption(mpopt, 'gurobi.method', 1); %% dual-simplex
end
if have_feature('mosek')
sc = mosek_symbcon;
mpopt = mpoption(mpopt, 'mosek.lp_alg', sc.MSK_OPTIMIZER_DUAL_SIMPLEX); %% dual simplex
end
if have_feature('linprog')
if have_feature('linprog_ds')
mpopt = mpoption(mpopt, 'linprog.Algorithm', 'dual-simplex');
else
mpopt = mpoption(mpopt, 'linprog.Algorithm', 'simplex');
end
end
mpoptac = mpoption(mpopt, 'model', 'AC');
mpoptdc = mpoption(mpopt, 'model', 'DC');
mpopt = mpoption(mpopt, 'most.solver', algs.dc{1});
%% turn off warnings
s7 = warning('query', 'MATLAB:nearlySingularMatrix');
s6 = warning('query', 'MATLAB:nearlySingularMatrixUMFPACK');
warning('off', 'MATLAB:nearlySingularMatrix');
warning('off', 'MATLAB:nearlySingularMatrixUMFPACK');
%% define named indices into data matrices
[GEN_BUS, PG, QG, QMAX, QMIN, VG, MBASE, GEN_STATUS, PMAX, PMIN, ...
MU_PMAX, MU_PMIN, MU_QMAX, MU_QMIN, PC1, PC2, QC1MIN, QC1MAX, ...
QC2MIN, QC2MAX, RAMP_AGC, RAMP_10, RAMP_30, RAMP_Q, APF] = idx_gen;
[F_BUS, T_BUS, BR_R, BR_X, BR_B, RATE_A, RATE_B, RATE_C, ...
TAP, SHIFT, BR_STATUS, PF, QF, PT, QT, MU_SF, MU_ST, ...
ANGMIN, ANGMAX, MU_ANGMIN, MU_ANGMAX] = idx_brch;
[CT_LABEL, CT_PROB, CT_TABLE, CT_TBUS, CT_TGEN, CT_TBRCH, CT_TAREABUS, ...
CT_TAREAGEN, CT_TAREABRCH, CT_ROW, CT_COL, CT_CHGTYPE, CT_REP, ...
CT_REL, CT_ADD, CT_NEWVAL, CT_TLOAD, CT_TAREALOAD, CT_LOAD_ALL_PQ, ...
CT_LOAD_FIX_PQ, CT_LOAD_DIS_PQ, CT_LOAD_ALL_P, CT_LOAD_FIX_P, ...
CT_LOAD_DIS_P, CT_TGENCOST, CT_TAREAGENCOST, CT_MODCOST_F, ...
CT_MODCOST_X] = idx_ct;
%% reserve and delta offers
xgd_table.colnames = {
'PositiveActiveReservePrice', ...
'PositiveActiveReserveQuantity', ...
'NegativeActiveReservePrice', ...
'NegativeActiveReserveQuantity', ...
'PositiveActiveDeltaPrice', ...
'NegativeActiveDeltaPrice', ...
};
xgd_table.data = [
10.1 15 10.0 15 0.1 0.0;
10.3 30 10.2 30 0.3 0.2;
10.5 20 10.4 20 0.5 0.4;
10.7 25 10.6 25 0.7 0.6;
20.1 25 20.0 25 60.1 60.0;
20.3 15 20.2 15 15.1 15.0;
20.5 30 20.4 30 60.3 60.2;
20.7 15 20.6 15 15.3 15.2;
30.1 15 30.0 15 60.3 60.4;
30.3 30 30.2 30 30.1 30.0;
30.5 25 30.4 25 60.7 60.6;
30.7 30 30.6 30 30.3 30.2;
0.001 50 0.002 50 0 0;
0.001 50 0.002 50 0 0;
0.001 50 0.002 50 0 0;
0.001 50 0.002 50 0 0;
0.001 50 0.002 50 0 0;
0.001 50 0.002 50 0 0;
0.001 50 0.002 50 0 0;
0.001 50 0.002 50 0 0;
0.001 50 0.002 50 0 0;
0.001 50 0.002 50 0 0;
0.001 50 0.002 50 0 0;
0.001 50 0.002 50 0 0;
0.001 50 0.002 50 0 0;
0.001 50 0.002 50 0 0;
0.001 50 0.002 50 0 0;
0.001 50 0.002 50 0 0;
0.001 50 0.002 50 0 0;
0.001 50 0.002 50 0 0;
0.001 50 0.002 50 0 0;
0.001 50 0.002 50 0 0;
];
%% contingency table
% label probty type row column chgtype newvalue
contab = [
1 0.002 CT_TBRCH 1 BR_STATUS CT_REP 0; %% line 1-2
2 0.002 CT_TBRCH 2 BR_STATUS CT_REP 0; %% line 1-3, all power from gen1 flows via gen2
3 0.002 CT_TBRCH 3 BR_STATUS CT_REP 0; %% line 2-4, a path to loads @ buses 7 & 8
4 0.002 CT_TBRCH 5 BR_STATUS CT_REP 0; %% line 2-5, a path to loads @ buses 7 & 8
5 0.002 CT_TBRCH 6 BR_STATUS CT_REP 0; %% line 2-6, a path to loads @ buses 7 & 8
6 0.002 CT_TBRCH 36 BR_STATUS CT_REP 0; %% line 28-27, tie line between areas 1 & 3
7 0.002 CT_TBRCH 15 BR_STATUS CT_REP 0; %% line 4-12, tie line between areas 1 & 2
8 0.002 CT_TBRCH 12 BR_STATUS CT_REP 0; %% line 6-10, tie line between areas 1 & 3
9 0.002 CT_TBRCH 14 BR_STATUS CT_REP 0; %% line 9-10, tie line between areas 1 & 3
10 0.002 CT_TGEN 1 GEN_STATUS CT_REP 0; %% gen 1 at bus 1
11 0.002 CT_TGEN 2 GEN_STATUS CT_REP 0; %% gen 2 at bus 2
12 0.002 CT_TGEN 3 GEN_STATUS CT_REP 0; %% gen 3 at bus 22
13 0.002 CT_TGEN 4 GEN_STATUS CT_REP 0; %% gen 4 at bus 27
14 0.002 CT_TGEN 5 GEN_STATUS CT_REP 0; %% gen 5 at bus 23
15 0.002 CT_TGEN 6 GEN_STATUS CT_REP 0; %% gen 6 at bus 13
20 0.010 CT_TGEN 0 PMIN CT_REL 1.1; %% 10% load increase
20 0.010 CT_TGEN 0 QMIN CT_REL 1.1;
21 0.010 CT_TGEN 0 PMIN CT_REL 0.9; %% 10% load decrease
21 0.010 CT_TGEN 0 QMIN CT_REL 0.9;
];
clist = unique(contab(:, CT_LABEL));
nc = length(clist);
%% load the case
mpc = loadcase(casename);
gbus = mpc.gen(:, GEN_BUS);
mpc.gen(:, RAMP_30) = Inf; %% avoid binding ramp reserves in period 1
%%----- get c3sopf results -----
rdc = c3sopf_retry(algs.dc, mpc, xgd_table.data, contab, mpoptdc);
% rac = c3sopf_retry(algs.ac, mpc, xgd_table.data, contab, mpoptac);
% save t_most2_soln rdc rac -v6
% s = load('t_most2_soln');
s.rdc = rdc;
% s.rac = rac;
%%----- set up data for DC run (most) -----
ng = size(mpc.gen, 1); %% number of gens
nt = 3;
xgd = loadxgendata(xgd_table, mpc);
md = loadmd(mpc, nt, xgd, [], contab);
%%----- do DC run (most) -----
r = most(md, mpopt);
%%----- test the results -----
t = 'success1';
t_ok(s.rdc.opf_results.success, t);
t = 'success2';
t_is(r.QP.exitflag, 1, 12, t);
t = 'f';
t_is(r.results.f/sum(r.StepProb), s.rdc.opf_results.f, 4, t);
for tt = 1:nt
t = sprintf('(t=%d) Pg : base', tt);
t_is(r.flow(tt,1,1).mpc.gen(:, PG), s.rdc.base.gen(:, PG), 5, t);
t = sprintf('(t=%d) Pg : cont ', tt);
for k = 1:nc
t_is(r.flow(tt,1,k+1).mpc.gen(:, PG), s.rdc.cont(k).gen(:, PG), 5, sprintf('%s %d', t, k));
end
% t = sprintf('(t=%d) gen : base', tt);
% t_is(r.flow(tt,1,1).mpc.gen(:,1:MU_PMIN), s.rdc.base.gen(:,1:MU_PMIN), 3, t);
% t = sprintf('(t=%d) gen : cont ', tt);
% for k = 1:nc
% t_is(r.flow(tt,1,k+1).mpc.gen(:,1:MU_PMIN), s.rdc.cont(k).gen(:,1:MU_PMIN), 3, sprintf('%s %d', t, k));
% end
t = sprintf('(t=%d) energy prices', tt);
t_is(r.results.GenPrices(:,tt)/r.StepProb(tt), s.rdc.energy.prc.sum_bus_lam_p(gbus), 6, t);
t = sprintf('(t=%d) Pc', tt);
t_is(r.results.Pc(:,tt), s.rdc.energy.Pc, 4, t);
t = sprintf('(t=%d) Gmin', tt);
t_is(r.results.Pc(:,tt) - r.results.Rpm(:,tt), s.rdc.energy.Gmin, 4, t);
t = sprintf('(t=%d) Gmax', tt);
t_is(r.results.Pc(:,tt) + r.results.Rpp(:,tt), s.rdc.energy.Gmax, 4, t);
t = sprintf('(t=%d) upward contingency reserve quantities', tt);
t_is(r.results.Rpp(:,tt), s.rdc.reserve.qty.Rp_pos, 4, t);
t = sprintf('(t=%d) downward contingency reserve quantities', tt);
t_is(r.results.Rpm(:,tt), s.rdc.reserve.qty.Rp_neg, 4, t);
t = sprintf('(t=%d) upward contingency reserve prices', tt);
t_is(r.results.RppPrices(:,tt)/r.StepProb(tt), s.rdc.reserve.prc.Rp_pos, 6, t);
t = sprintf('(t=%d) downward contingency reserve prices', tt);
t_is(r.results.RpmPrices(:,tt)/r.StepProb(tt), s.rdc.reserve.prc.Rp_neg, 6, t);
t = sprintf('(t=%d) contingency physical ramp price', tt);
[vv, ll] = r.om.get_idx();
Ramp_P_max = zeros(ng, nc);
sum_muPmax = zeros(ng, 1);
sum_muPmin = zeros(ng, 1);
for k = 1:nc+1
ii = find(r.flow(tt,1,k).mpc.gen(:, GEN_STATUS) > 0);
if k > 1
Ramp_P_max(ii,k-1) = (r.QP.lambda.mu_u(ll.i1.rampcont(tt,1,k):ll.iN.rampcont(tt,1,k)) - r.QP.lambda.mu_l(ll.i1.rampcont(tt,1,k):ll.iN.rampcont(tt,1,k))) / mpc.baseMVA;
end
sum_muPmax(ii) = sum_muPmax(ii) + r.flow(tt,1,k).mpc.gen(ii, MU_PMAX);
sum_muPmin(ii) = sum_muPmin(ii) + r.flow(tt,1,k).mpc.gen(ii, MU_PMIN);
end
t_is(sum(Ramp_P_max/r.StepProb(tt), 2), sum(s.rdc.energy.mu.Ramp_P_max, 2), 6, t);
% t_is(Ramp_P_max/r.StepProb(tt), s.rdc.energy.mu.Ramp_P_max, 6, t);
t = sprintf('(t=%d) sum_muPmax', tt);
t_is(sum_muPmax/r.StepProb(tt), s.rdc.energy.sum_muPmax, 1, t);
t = sprintf('(t=%d) sum_muPmin', tt);
t_is(sum_muPmin/r.StepProb(tt), s.rdc.energy.sum_muPmin, 0, t);
t = sprintf('(t=%d) Rpmax_pos', tt);
Rpmax_pos = (r.QP.lambda.upper(vv.i1.Rpp(1):vv.iN.Rpp(1)) - r.QP.lambda.lower(vv.i1.Rpp(1):vv.iN.Rpp(1))) / mpc.baseMVA;
t_is(Rpmax_pos, s.rdc.reserve.mu.Rpmax_pos, 6, t);
t = sprintf('(t=%d) Rpmax_neg', tt);
Rpmax_neg = (r.QP.lambda.upper(vv.i1.Rpm(1):vv.iN.Rpm(1)) - r.QP.lambda.lower(vv.i1.Rpm(1):vv.iN.Rpm(1))) / mpc.baseMVA;
t_is(Rpmax_neg, s.rdc.reserve.mu.Rpmax_neg, 6, t);
end
% g1 = s.rdc.base.gen(:, PG);
% g2 = r.flow(1,1,1).mpc.gen(:, PG);
% for k = 1:nc
% g1 = [ g1 s.rdc.cont(k).gen(:, PG) ];
% g2 = [ g2 r.flow(1,1,k+1).mpc.gen(:, PG) ];
% end
% [m,n] = size(g1);
% for j = 1:n
% fprintf('\n');
% for i = 1:m
% fprintf('%9.2f %9.2f\n', g1(i,j), g2(i,j));
% end
% end
%%----- do AC run (most) -----
%mostac;
%% turn warnings back on
warning(s7.state, 'MATLAB:nearlySingularMatrix');
warning(s6.state, 'MATLAB:nearlySingularMatrixUMFPACK');
t_end;