1 简介
2 部分代码
function mpc = case39%CASE39 Power flow data for 39 bus New England system.% Please see CASEFORMAT for details on the case file format.% Data taken from [1] with the following modifications/additions:%% - renumbered gen buses consecutively (as in [2] and [4])% - added Pmin = 0 for all gens% - added Qmin, Qmax for gens at 31 & 39 (copied from gen at 35)% - added Vg based on V in bus data (missing for bus 39)% - added Vg, Pg, Pd, Qd at bus 39 from [2] (same in [4])% - added Pmax at bus 39: Pmax = Pg + 100% - added line flow limits and area data from [4]% - added voltage limits, Vmax = 1.06, Vmin = 0.94% - added identical quadratic generator costs% - increased Pmax for gen at bus 34 from 308 to 508% (assumed typo in [1], makes initial solved case feasible)% - re-solved power flow % Notes:% - Bus 39, its generator and 2 connecting lines were added% (by authors of [1]) to represent the interconnection with% the rest of the eastern interconnect, and did not include% Vg, Pg, Qg, Pd, Qd, Pmin, Pmax, Qmin or Qmax.% - As the swing bus, bus 31 did not include and Q limits.% - The voltages, etc in [1] appear to be quite close to the% power flow solution of the case before adding bus 39 with% it's generator and connecting branches, though the solution% is not exact.% - Explicit voltage setpoints for gen buses are not given, so% they are taken from the bus data, however this results in two% binding Q limits at buses 34 & 37, so the corresponding% voltages have probably deviated from their original setpoints.% - The generator locations and types are as follows:% 1 30 hydro% 2 31 nuke01% 3 32 nuke02% 4 33 fossil02% 5 34 fossil01% 6 35 nuke03% 7 36 fossil04% 8 37 nuke04% 9 38 nuke05% 10 39 interconnection to rest of US/Canada%% MATPOWER%% MATPOWER Case Format : Version 2mpc.version = '2';%%----- Power Flow Data -----%%%% system MVA basempc.baseMVA = 100;%% bus data% bus_i type Pd Qd Gs Bs area Vm Va baseKV zone Vmax Vminmpc.bus = [ 1 1 97.6 44.2 0 0 2 1.0393836 -13.536602 345 1 1.06 0.94; 2 1 0 0 0 0 2 1.0484941 -9.7852666 345 1 1.06 0.94; 3 1 322 2.4 0 0 2 1.0307077 -12.276384 345 1 1.06 0.94; 4 1 500 184 0 0 1 1.00446 -12.626734 345 1 1.06 0.94; 5 1 0 0 0 0 1 1.0060063 -11.192339 345 1 1.06 0.94; 6 1 0 0 0 0 1 1.0082256 -10.40833 345 1 1.06 0.94; 7 1 233.8 84 0 0 1 0.99839728 -12.755626 345 1 1.06 0.94; 8 1 522 176.6 0 0 1 0.99787232 -13.335844 345 1 1.06 0.94; 9 1 6.5 -66.6 0 0 1 1.038332 -14.178442 345 1 1.06 0.94; 10 1 0 0 0 0 1 1.0178431 -8.170875 345 1 1.06 0.94; 11 1 0 0 0 0 1 1.0133858 -8.9369663 345 1 1.06 0.94; 12 1 8.53 88 0 0 1 1.000815 -8.9988236 345 1 1.06 0.94; 13 1 0 0 0 0 1 1.014923 -8.9299272 345 1 1.06 0.94; 14 1 0 0 0 0 1 1.012319 -10.715295 345 1 1.06 0.94; 15 1 320 153 0 0 3 1.0161854 -11.345399 345 1 1.06 0.94; 16 1 329 32.3 0 0 3 1.0325203 -10.033348 345 1 1.06 0.94; 17 1 0 0 0 0 2 1.0342365 -11.116436 345 1 1.06 0.94; 18 1 158 30 0 0 2 1.0315726 -11.986168 345 1 1.06 0.94; 19 1 0 0 0 0 3 1.0501068 -5.4100729 345 1 1.06 0.94; 20 1 680 103 0 0 3 0.99101054 -6.8211783 345 1 1.06 0.94; 21 1 274 115 0 0 3 1.0323192 -7.6287461 345 1 1.06 0.94; 22 1 0 0 0 0 3 1.0501427 -3.1831199 345 1 1.06 0.94; 23 1 247.5 84.6 0 0 3 1.0451451 -3.3812763 345 1 1.06 0.94; 24 1 308.6 -92.2 0 0 3 1.038001 -9.9137585 345 1 1.06 0.94; 25 1 224 47.2 0 0 2 1.0576827 -8.3692354 345 1 1.06 0.94; 26 1 139 17 0 0 2 1.0525613 -9.4387696 345 1 1.06 0.94; 27 1 281 75.5 0 0 2 1.0383449 -11.362152 345 1 1.06 0.94; 28 1 206 27.6 0 0 3 1.0503737 -5.9283592 345 1 1.06 0.94; 29 1 283.5 26.9 0 0 3 1.0501149 -3.1698741 345 1 1.06 0.94; 30 2 0 0 0 0 2 1.0499 -7.3704746 345 1 1.06 0.94; 31 3 9.2 4.6 0 0 1 0.982 0 345 1 1.06 0.94; 32 2 0 0 0 0 1 0.9841 -0.1884374 345 1 1.06 0.94; 33 2 0 0 0 0 3 0.9972 -0.19317445 345 1 1.06 0.94; 34 2 0 0 0 0 3 1.0123 -1.631119 345 1 1.06 0.94; 35 2 0 0 0 0 3 1.0494 1.7765069 345 1 1.06 0.94; 36 2 0 0 0 0 3 1.0636 4.4684374 345 1 1.06 0.94; 37 2 0 0 0 0 2 1.0275 -1.5828988 345 1 1.06 0.94; 38 2 0 0 0 0 3 1.0265 3.8928177 345 1 1.06 0.94; 39 2 1104 250 0 0 1 1.03 -14.535256 345 1 1.06 0.94;];%% generator data% bus Pg Qg Qmax Qmin Vg mBase status Pmax Pmin Pc1 Pc2 Qc1min Qc1max Qc2min Qc2max ramp_agc ramp_10 ramp_30 ramp_q apfmpc.gen = [ 30 250 161.762 400 140 1.0499 100 1 1040 0 0 0 0 0 0 0 0 0 0 0 0; 31 677.871 221.574 300 -100 0.982 100 1 646 0 0 0 0 0 0 0 0 0 0 0 0; 32 650 206.965 300 150 0.9841 100 1 725 0 0 0 0 0 0 0 0 0 0 0 0; 33 632 108.293 250 0 0.9972 100 1 652 0 0 0 0 0 0 0 0 0 0 0 0; 34 508 166.688 167 0 1.0123 100 1 508 0 0 0 0 0 0 0 0 0 0 0 0; 35 650 210.661 300 -100 1.0494 100 1 687 0 0 0 0 0 0 0 0 0 0 0 0; 36 560 100.165 240 0 1.0636 100 1 580 0 0 0 0 0 0 0 0 0 0 0 0; 37 540 -1.36945 250 0 1.0275 100 1 564 0 0 0 0 0 0 0 0 0 0 0 0; 38 830 21.7327 300 -150 1.0265 100 1 865 0 0 0 0 0 0 0 0 0 0 0 0; 39 1000 78.4674 300 -100 1.03 100 1 1100 0 0 0 0 0 0 0 0 0 0 0 0;];%% branch data% fbus tbus r x b rateA rateB rateC ratio angle status angmin angmaxmpc.branch = [ 1 2 0.0035 0.0411 0.6987 600 600 600 0 0 1 -360 360; 1 39 0.001 0.025 0.75 1000 1000 1000 0 0 1 -360 360; 2 3 0.0013 0.0151 0.2572 500 500 500 0 0 1 -360 360; 2 25 0.007 0.0086 0.146 500 500 500 0 0 1 -360 360; 2 30 0 0.0181 0 900 900 2500 1.025 0 1 -360 360; 3 4 0.0013 0.0213 0.2214 500 500 500 0 0 1 -360 360; 3 18 0.0011 0.0133 0.2138 500 500 500 0 0 1 -360 360; 4 5 0.0008 0.0128 0.1342 600 600 600 0 0 1 -360 360; 4 14 0.0008 0.0129 0.1382 500 500 500 0 0 1 -360 360; 5 6 0.0002 0.0026 0.0434 1200 1200 1200 0 0 1 -360 360; 5 8 0.0008 0.0112 0.1476 900 900 900 0 0 1 -360 360; 6 7 0.0006 0.0092 0.113 900 900 900 0 0 1 -360 360; 6 11 0.0007 0.0082 0.1389 480 480 480 0 0 1 -360 360; 6 31 0 0.025 0 1800 1800 1800 1.07 0 1 -360 360; 7 8 0.0004 0.0046 0.078 900 900 900 0 0 1 -360 360; 8 9 0.0023 0.0363 0.3804 900 900 900 0 0 1 -360 360; 9 39 0.001 0.025 1.2 900 900 900 0 0 1 -360 360; 10 11 0.0004 0.0043 0.0729 600 600 600 0 0 1 -360 360; 10 13 0.0004 0.0043 0.0729 600 600 600 0 0 1 -360 360; 10 32 0 0.02 0 900 900 2500 1.07 0 1 -360 360; 12 11 0.0016 0.0435 0 500 500 500 1.006 0 1 -360 360; 12 13 0.0016 0.0435 0 500 500 500 1.006 0 1 -360 360; 13 14 0.0009 0.0101 0.1723 600 600 600 0 0 1 -360 360; 14 15 0.0018 0.0217 0.366 600 600 600 0 0 1 -360 360; 15 16 0.0009 0.0094 0.171 600 600 600 0 0 1 -360 360; 16 17 0.0007 0.0089 0.1342 600 600 600 0 0 1 -360 360; 16 19 0.0016 0.0195 0.304 600 600 2500 0 0 1 -360 360; 16 21 0.0008 0.0135 0.2548 600 600 600 0 0 1 -360 360; 16 24 0.0003 0.0059 0.068 600 600 600 0 0 1 -360 360; 17 18 0.0007 0.0082 0.1319 600 600 600 0 0 1 -360 360; 17 27 0.0013 0.0173 0.3216 600 600 600 0 0 1 -360 360; 19 20 0.0007 0.0138 0 900 900 2500 1.06 0 1 -360 360; 19 33 0.0007 0.0142 0 900 900 2500 1.07 0 1 -360 360; 20 34 0.0009 0.018 0 900 900 2500 1.009 0 1 -360 360; 21 22 0.0008 0.014 0.2565 900 900 900 0 0 1 -360 360; 22 23 0.0006 0.0096 0.1846 600 600 600 0 0 1 -360 360; 22 35 0 0.0143 0 900 900 2500 1.025 0 1 -360 360; 23 24 0.0022 0.035 0.361 600 600 600 0 0 1 -360 360; 23 36 0.0005 0.0272 0 900 900 2500 1 0 1 -360 360; 25 26 0.0032 0.0323 0.531 600 600 600 0 0 1 -360 360; 25 37 0.0006 0.0232 0 900 900 2500 1.025 0 1 -360 360; 26 27 0.0014 0.0147 0.2396 600 600 600 0 0 1 -360 360; 26 28 0.0043 0.0474 0.7802 600 600 600 0 0 1 -360 360; 26 29 0.0057 0.0625 1.029 600 600 600 0 0 1 -360 360; 28 29 0.0014 0.0151 0.249 600 600 600 0 0 1 -360 360; 29 38 0.0008 0.0156 0 1200 1200 2500 1.025 0 1 -360 360;];%%----- OPF Data -----%%%% generator cost data% 1 startup shutdown n x1 y1 ... xn yn% 2 startup shutdown n c(n-1) ... c0mpc.gencost = [ 2 0 0 3 0.01 0.3 0.2; 2 0 0 3 0.01 0.3 0.2; 2 0 0 3 0.01 0.3 0.2; 2 0 0 3 0.01 0.3 0.2; 2 0 0 3 0.01 0.3 0.2; 2 0 0 3 0.01 0.3 0.2; 2 0 0 3 0.01 0.3 0.2; 2 0 0 3 0.01 0.3 0.2; 2 0 0 3 0.01 0.3 0.2; 2 0 0 3 0.01 0.3 0.2;];3 仿真结果
4 参考文献
[1]屈玉涛, 邓万宇. 基于matlab的svm分类预测实现[J]. 信息通信, 2017(3):2.
博主简介：擅长智能优化算法、神经网络预测、信号处理、元胞自动机、图像处理、路径规划、无人机等多种领域的Matlab仿真，相关matlab代码问题可私信交流。
部分理论引用网络文献，若有侵权联系博主删除。
文章出处登录后可见！
已经登录？立即刷新
