-
Notifications
You must be signed in to change notification settings - Fork 11
/
t_most_30b_3_1_0.m
232 lines (194 loc) · 8.89 KB
/
t_most_30b_3_1_0.m
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
function t_most_30b_3_1_0(quiet)
% t_most_30b_3_1_0 - Tests for MOST, 30-bus, 3 periods, no 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 = 39;
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
mpopt = mpoption('verbose', 0, 'out.all', 0);
mpopt = mpoption(mpopt, 'opf.violation', 5e-7, 'mips.comptol', 5e-8);
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', 'DEFAULT');
%% 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
[PQ, PV, REF, NONE, BUS_I, BUS_TYPE, PD, QD, GS, BS, BUS_AREA, VM, ...
VA, BASE_KV, ZONE, VMAX, VMIN, LAM_P, LAM_Q, MU_VMAX, MU_VMIN] = idx_bus;
[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 = [];
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 OPF results -----
rdc = rundcopf(mpc, mpoptdc);
% rac = runopf(mpc, mpoptac);
% save t_most4_soln rdc rac -v6
% s = load('t_most4_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);
%%----- do DC run (most) -----
r = most(md, mpopt);
%%----- test the results -----
t = 'success1';
t_ok(s.rdc.success, t);
t = 'success2';
t_is(r.QP.exitflag, 1, 12, t);
t = 'f';
t_is(r.results.f/sum(r.StepProb), s.rdc.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.gen(:, PG), 5, t);
t = sprintf('(t=%d) gen : base', tt);
t_is(r.flow(tt,1,1).mpc.gen(:,1:MU_PMIN), s.rdc.gen(:,1:MU_PMIN), 3, t);
t = sprintf('(t=%d) energy prices', tt);
t_is(r.results.GenPrices(:,tt), s.rdc.bus(gbus, LAM_P), 6, t);
t = sprintf('(t=%d) Pc', tt);
t_is(r.results.Pc(:,tt), s.rdc.gen(:, PG), 4, t);
t = sprintf('(t=%d) Gmin', tt);
t_is(r.results.Pc(:,tt) - r.results.Rpm(:,tt), s.rdc.gen(:, PG), 4, t);
t = sprintf('(t=%d) Gmax', tt);
t_is(r.results.Pc(:,tt) + r.results.Rpp(:,tt), s.rdc.gen(:, PG), 4, t);
t = sprintf('(t=%d) upward contingency reserve quantities', tt);
t_is(r.results.Rpp(:,tt), zeros(ng, 1), 4, t);
t = sprintf('(t=%d) downward contingency reserve quantities', tt);
t_is(r.results.Rpm(:,tt), zeros(ng, 1), 4, t);
t = sprintf('(t=%d) upward contingency reserve prices', tt);
t_is(r.results.RpmPrices(:,tt), xgd.NegativeActiveReservePrice, 6, t);
t = sprintf('(t=%d) downward contingency reserve prices', tt);
t_is(r.results.RpmPrices(:,tt), xgd.NegativeActiveReservePrice, 6, t);
t = sprintf('(t=%d) Rpmax_pos', tt);
vv = r.om.get_idx();
Rpmax_pos = (r.QP.lambda.upper(vv.i1.Rpp(tt):vv.iN.Rpp(tt)) - r.QP.lambda.lower(vv.i1.Rpp(tt):vv.iN.Rpp(tt))) / mpc.baseMVA;
t_is(Rpmax_pos, zeros(ng, 1), 6, t);
t = sprintf('(t=%d) Rpmax_neg', tt);
Rpmax_neg = (r.QP.lambda.upper(vv.i1.Rpm(tt):vv.iN.Rpm(tt)) - r.QP.lambda.lower(vv.i1.Rpm(tt):vv.iN.Rpm(tt))) / mpc.baseMVA;
t_is(Rpmax_neg, zeros(ng, 1), 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;