登录
首页 » matlab » 动态重构

动态重构

于 2021-03-08 发布 文件大小:862KB
0 383
下载积分: 1 下载次数: 58

代码说明:

  基于遗传算法配电网重构的解决经济问题的一份程序,很完整,值得拥有(A procedure for solving economic problems based on genetic algorithm power distribution network reconstruction is very complete and worth having)

文件列表:

动态重构\24hourResult-1.fig, 28051 , 2018-04-27
动态重构\24hourResult.fig, 28047 , 2018-04-27
动态重构\Battery.mat, 177 , 2018-04-27
动态重构\beq.m, 0 , 2018-04-27
动态重构\best.m, 314 , 2018-04-27
动态重构\billing0523.fig, 15883 , 2018-04-27
动态重构\branchLimit.mat, 433 , 2018-04-27
动态重构\branch(0.000001,1030).fig, 6316 , 2018-04-27
动态重构\branch(0.00001
,1009).fig, 6397 , 2018-04-27
动态重构\branch(0.0001
,947.8).fig, 6313 , 2018-04-27
动态重构\branch(0.001
,962.5).fig, 6491 , 2018-04-27
动态重构\branch(0.01
,1046).fig, 6391 , 2018-04-27
动态重构\branch(0.1
,1012).fig, 6325 , 2018-04-27
动态重构\branch(0.1
,1162).fig, 7629 , 2018-04-27
动态重构\calcEaboutMGsbyDP.m, 1298 , 2018-04-27
动态重构\calcEaboutMGsbySP.m, 2223 , 2018-04-27
动态重构\calfitvalue.m, 356 , 2018-04-27
动态重构\calobjvalue.m, 2451 , 2018-04-27
动态重构\case33.m, 13952 , 2018-04-27
动态重构\case34.mat, 2828 , 2018-04-27
动态重构\Cost-sharing-results-0515-new.fig, 12050 , 2018-04-27
动态重构\Cost-sharing-results-0515.fig, 12389 , 2018-04-27
动态重构\Cost-sharing.fig, 12039 , 2018-04-27
动态重构\crossover.m, 428 , 2018-04-27
动态重构\decodebinary.m, 343 , 2018-04-27
动态重构\decodechrom.m, 503 , 2018-04-27
动态重构\determinist.mat, 128 , 2018-04-27
动态重构\DG1.mat, 379 , 2018-04-27
动态重构\DG2.mat, 177 , 2018-04-27
动态重构\dynamic-results0515.fig, 6012 , 2018-04-27
动态重构\factory.mat, 302 , 2018-04-27
动态重构\factory2.mat, 294 , 2018-04-27
动态重构\fitvalue.m, 0 , 2018-04-27
动态重构\GAmain.m, 12195 , 2018-04-27
动态重构\hotel.mat, 223 , 2018-04-27
动态重构\hotel2.mat, 279 , 2018-04-27
动态重构\initpop.m, 253 , 2018-04-27
动态重构\main.m, 380 , 2018-04-27
动态重构\multi-time-event-trigger-1.fig, 2858 , 2018-04-27
动态重构\multi-time-event-trigger-2(no deltaPm_and_deltaQm).fig, 3183 , 2018-04-27
动态重构\multi-time-event-trigger-24hours-evey8-closs.fig, 10800 , 2018-04-27
动态重构\multi-time-event-trigger-24hours-stairs-nodeltaP.fig, 6330 , 2018-04-27
动态重构\multi-time-event-trigger-24hours-stairs-(itv==1).fig, 3175 , 2018-04-27
动态重构\multi-time-event-trigger-24hours-stairs.fig, 13504 , 2018-04-27
动态重构\multi-time-event-trigger-24hours.fig, 1924 , 2018-04-27
动态重构\multi-time-event-trigger-3(no deltaPm_and_deltaQm).fig, 3165 , 2018-04-27
动态重构\multi-time-event-trigger-4(no deltaPm_and_deltaQm).fig, 3185 , 2018-04-27
动态重构\multi-time-event-trigger-no-8hours-deltaP.fig, 3082 , 2018-04-27
动态重构\multi-time-event-trigger-no-8hours-nodeltaP.fig, 3083 , 2018-04-27
动态重构\multi-time-event-trigger-no-8hours.fig, 3083 , 2018-04-27
动态重构\mutation.m, 665 , 2018-04-27
动态重构\myfunDP.m, 419 , 2018-04-27
动态重构\myfunSP.m, 1019 , 2018-04-27
动态重构\newTest-0324-deltaCloss-1.25e3-Ctotal-4times.fig, 6052 , 2018-04-27
动态重构\newTest-0324-deltaCloss-1.25e3-DC-links.fig, 3047 , 2018-04-27
动态重构\newTest-0324-deltaCloss-1.5e3-Ctotal-2times.fig, 8117 , 2018-04-27
动态重构\newTest-0324-deltaCloss-1.5e3-DC-links.fig, 2407 , 2018-04-27
动态重构\newTest-0324-deltaCloss-1.5e3-MG.fig, 4925 , 2018-04-27
动态重构\newTest-0324-deltaCloss-1e3-Ctotal-7times.fig, 6196 , 2018-04-27
动态重构\newTest-0324-deltaCloss-1e3-DC-links.fig, 2406 , 2018-04-27
动态重构\newTest-0324-deltaCloss-1e3-MG.fig, 7310 , 2018-04-27
动态重构\newTest-0324-deltaCloss-2e3-Ctotal-0times.fig, 13407 , 2018-04-27
动态重构\newTest-0324-deltaCloss-2e3-DC-links.fig, 6098 , 2018-04-27
动态重构\newTest-0324-deltaCloss-2e3-MG.fig, 4955 , 2018-04-27
动态重构\newTest-0324-deltaCmg-0.5e3-Ctotal-4times.fig, 6070 , 2018-04-27
动态重构\newTest-0324-deltaCmg-0.5e3-DC-links.fig, 3214 , 2018-04-27
动态重构\newTest-0324-deltaCmg-0.5e3-MG.fig, 4933 , 2018-04-27
动态重构\newTest-0324-deltaCmg-1e3-Ctotal-1times.fig, 13756 , 2018-04-27
动态重构\newTest-0324-deltaCmg-1e3-DC-links.fig, 13945 , 2018-04-27
动态重构\newTest-0324-deltaCmg-1e3-MG.fig, 4970 , 2018-04-27
动态重构\newTest-0324-deltaCmg-2e3-Ctotal-0times.fig, 6063 , 2018-04-27
动态重构\newTest-0324-deltaCmg-2e3-DC-links.fig, 3315 , 2018-04-27
动态重构\newTest-0324-deltaCmg-2e3-MG.fig, 5031 , 2018-04-27
动态重构\newTest-0324-deltaCmg-3e3-Ctotal-0times.fig, 6065 , 2018-04-27
动态重构\newTest-0324-deltaCmg-3e3-DC-links.fig, 3171 , 2018-04-27
动态重构\newTest-0324-deltaCmg-3e3-MG.fig, 5098 , 2018-04-27
动态重构\newTest-0327-Pv100.fig, 6278 , 2018-04-27
动态重构\newTest-0327-Pv150.fig, 3186 , 2018-04-27
动态重构\newTest-0327-Pv200.fig, 3193 , 2018-04-27
动态重构\newTest-0327-Pv250.fig, 3186 , 2018-04-27
动态重构\newTest-with3MG(1000kW).fig, 8081 , 2018-04-27
动态重构\newTest-with3MG(1200kW).fig, 24824 , 2018-04-27
动态重构\newTest-with3MG(2200kW).fig, 16843 , 2018-04-27
动态重构\newTest-with3MG-dynamicLoad(1000kW).fig, 8076 , 2018-04-27
动态重构\newTest-with3MG-dynamicLoad-refonfiguration-with-deltaCloss-1.5e3(60kW)-DC-links-power-0323.fig, 14138 , 2018-04-27
动态重构\newTest-with3MG-dynamicLoad-refonfiguration-with-deltaCloss-1.5e3(60kW)-microgrid-0323.fig, 17839 , 2018-04-27
动态重构\newTest-with3MG-dynamicLoad-refonfiguration-with-deltaCloss-1.5e3(60kW)-total-0323.fig, 3556 , 2018-04-27
动态重构\newTest-with3MG-dynamicLoad-refonfiguration-with-deltaCloss-1e3(60kW)-total-0323.fig, 14938 , 2018-04-27
动态重构\newTest-with3MG-dynamicLoad-refonfiguration-with-deltaCloss-2e3(60kW)-total-0323.fig, 3836 , 2018-04-27
动态重构\newTest-with3MG-dynamicLoad-refonfiguration-with-deltaCmg-0.15e3(60kW)-total-0323.fig, 3564 , 2018-04-27
动态重构\newTest-with3MG-dynamicLoad-refonfiguration-with-deltaCmg-0.25e3(60kW)-total-0323.fig, 3843 , 2018-04-27
动态重构\newTest-with3MG-dynamicLoad-refonfiguration-with-deltaCmg-0.5e3(60kW)-total-0323.fig, 3559 , 2018-04-27
动态重构\newTest-with3MG-dynamicLoad-refonfiguration-with-deltaCmg-1.5e4(1000kW).fig, 8942 , 2018-04-27
动态重构\newTest-with3MG-dynamicLoad-refonfiguration-with-deltaCmg-1.5e4(60kW)-0323.fig, 8540 , 2018-04-27
动态重构\newTest-with3MG-dynamicLoad-refonfiguration-with-deltaCmg-1.5e4(60kW)-total-0323.fig, 8086 , 2018-04-27
动态重构\newTest-with3MG-dynamicLoad-refonfiguration-with-deltaCmg-1e3(60kW)-total-0323.fig, 12215 , 2018-04-27
动态重构\Obj.mat, 177 , 2018-04-27
动态重构\Pload-24h.mat, 379 , 2018-04-27
动态重构\Ploss.mat, 177 , 2018-04-27
动态重构\Ploss_test1(DG_increasing
,Ploss_decreasing)(withDC-link).fig, 37590 , 2018-04-27

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • vgal
    说明:  在DOS下一个VGAL库的源程序。用TC3进行编译成功。(DOS VGAL a library of the source. Compiled with TC3 success.)
    2006-03-18 22:58:37下载
    积分:1
  • matlab-for-AMI
    用matlab进行AMI编码的调试并进行文本的输出与输入 同时还可以直观的看到波形图(MATLAB program used to prepare the AMI modulation and demodulation process, and in order to simulate the process of digital communication system, in the modulated Gaussian white noise after.)
    2012-04-22 07:05:59下载
    积分:1
  • homework
    该代码可用于对红外图像的高低温图分别进行一点校正和两点校正(This code can be used for infrared images were a little high and low figure correction and two-point calibration)
    2015-01-10 11:13:47下载
    积分:1
  • Matlab-Mach-3-blow-a-cylinder
    3马赫气流吹拂圆柱体,二维非结构化网格,网格自适应优化,Matlab代码,无粘(Mach 3 airflow blowing cylinder, two-dimensional unstructured grids, adaptive mesh optimization, Matlab code, inviscid)
    2013-11-15 23:49:30下载
    积分:1
  • MATLAB神经网络原理与实例分析
    MATLAB神经网络原理与实例分析, 有大量的关于神经网络的实例,如BP神经网络,rbf神经网络,前馈神经网络等等.(The thesis and example analysis about neural networks. There are many example in this file, for example BP neural networks, neural networks, forward feedback neural network and so on. So, it is valuable to learn the neural networks for beginner. If you have any question, you can keep contact with me by e-mail.)
    2020-12-14 20:19:13下载
    积分:1
  • Esfera2_matlab
    Esfera control gimbal matlab
    2012-08-29 04:39:06下载
    积分:1
  • berenger
    it uses berenger thechniqe in fdtd to truncate matrix
    2012-01-30 17:01:30下载
    积分:1
  • EEMD,EMD
    说明:  EEMD将特殊幅值下的高斯白噪声引入到分解的过程,可以消除上包络和下包络之间存在的拟合误差,从而很好地避免不同尺度下IMF的模态混叠现象,(EEMD can eliminate the fitting error between the upper envelope and the lower envelope by introducing the Gaussian white noise with special amplitude into the decomposition process, so as to avoid the mode aliasing of IMF at different scales,)
    2020-04-15 23:22:09下载
    积分:1
  • DeSourceCode
    差异演化算法的MATLAB程序,程序说明非常详尽,AI研究者必备(Differential evolution algorithm, Matlab)
    2010-01-21 10:34:24下载
    积分:1
  • Newton-rafer-Johnson-method
    说明:  电力系统的牛顿-拉夫逊法潮流计算。 基本步骤: (1)形成节点导纳矩阵 (2)将各节点电压设初值U, (3)将节点初值代入相关求式,求出修正方程式的常数项向量 (4)将节点电压初值代入求式,求出雅可比矩阵元素 (5)求解修正方程,求修正向量 (6)求取节点电压的新值 (7)检查是否收敛,如不收敛,则以各节点电压的新值作为初值自第3步重新开始进行狭义次迭代,否则转入下一步 (8)计算支路功率分布,PV节点无功功率和平衡节点柱入功率。(Power system of Newton- rafer Johnson flow calculation method-matlab)
    2011-03-01 16:02:50下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载