EX_CASE3B Three bus example system for stochastic unit commitment.
Same as EX_CASE3A with the following changes:
- Non-zero PMIN values for generators
- Linear (vs quadratic) generator costs
- Includes some STARTUP and SHUTDOWN costs
Please see CASEFORMAT for details on the case file format.0001 function mpc = ex_case3b 0002 %EX_CASE3B Three bus example system for stochastic unit commitment. 0003 % Same as EX_CASE3A with the following changes: 0004 % - Non-zero PMIN values for generators 0005 % - Linear (vs quadratic) generator costs 0006 % - Includes some STARTUP and SHUTDOWN costs 0007 % Please see CASEFORMAT for details on the case file format. 0008 0009 % MOST 0010 % Copyright (c) 2015-2016, Power Systems Engineering Research Center (PSERC) 0011 % by Ray Zimmerman, PSERC Cornell 0012 % 0013 % This file is part of MOST. 0014 % Covered by the 3-clause BSD License (see LICENSE file for details). 0015 % See https://github.com/MATPOWER/most for more info. 0016 0017 %% MATPOWER Case Format : Version 2 0018 mpc.version = '2'; 0019 0020 %%----- Power Flow Data -----%% 0021 %% system MVA base 0022 mpc.baseMVA = 100; 0023 0024 %% bus data 0025 % bus_i type Pd Qd Gs Bs area Vm Va baseKV zone Vmax Vmin 0026 mpc.bus = [ 0027 1 3 0 0 0 0 1 1 0 135 1 1.05 0.95; 0028 2 2 0 0 0 0 1 1 0 135 1 1.05 0.95; 0029 3 2 0 0 0 0 1 1 0 135 1 1.05 0.95; 0030 ]; 0031 0032 %% generator data 0033 % bus Pg Qg Qmax Qmin Vg mBase status Pmax Pmin Pc1 Pc2 Qc1min Qc1max Qc2min Qc2max ramp_agc ramp_10 ramp_30 ramp_q apf 0034 mpc.gen = [ 0035 1 125 0 25 -25 1 100 1 200 60 0 0 0 0 0 0 0 250 250 0 0; 0036 1 125 0 25 -25 1 100 1 200 65 0 0 0 0 0 0 0 250 250 0 0; 0037 2 200 0 50 -50 1 100 1 500 60 0 0 0 0 0 0 0 600 600 0 0; 0038 3 -450 0 0 0 1 100 1 0 -450 0 0 0 0 0 0 0 500 500 0 0; 0039 ]; 0040 0041 %% branch data 0042 % fbus tbus r x b rateA rateB rateC ratio angle status angmin angmax 0043 mpc.branch = [ 0044 1 2 0.005 0.01 0 300 300 300 0 0 1 -360 360; 0045 1 3 0.005 0.01 0 240 240 240 0 0 1 -360 360; 0046 2 3 0.005 0.01 0 300 300 300 0 0 1 -360 360; 0047 ]; 0048 0049 %%----- OPF Data -----%% 0050 %% generator cost data 0051 % 1 startup shutdown n x1 y1 ... xn yn 0052 % 2 startup shutdown n c(n-1) ... c0 0053 mpc.gencost = [ 0054 2 0 0 2 25 0; 0055 2 200 200 2 30 0; 0056 2 3000 600 2 40 0; 0057 2 0 0 2 1000 0; 0058 ]; 0059 0060 %%----- Reserve Data -----%% 0061 %% reserve zones, element i, j is 1 if gen j is in zone i, 0 otherwise 0062 mpc.reserves.zones = [ 0063 1 1 1 0; 0064 ]; 0065 0066 %% reserve requirements for each zone in MW 0067 mpc.reserves.req = 150; 0068 0069 %% reserve costs in $/MW for each gen that belongs to at least 1 zone 0070 %% (same order as gens, but skipping any gen that does not belong to any zone) 0071 % mpc.reserves.cost = [ 5; 5; 21; ]; 0072 % mpc.reserves.cost = [ 5; 5; 16.25; ]; 0073 % mpc.reserves.cost = [ 0; 0; 11.25; ]; 0074 mpc.reserves.cost = [ 1; 3; 5; ]; 0075 0076 %% OPTIONAL max reserve quantities for each gen that belongs to at least 1 zone 0077 %% (same order as gens, but skipping any gen that does not belong to any zone) 0078 mpc.reserves.qty = [ 100; 100; 200; ];