用200PD0和200QD0作为20点叠加了噪音的数据
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@ -0,0 +1,14 @@
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%%
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% 画正态分布曲线
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%%
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x=-4:0.1:4;
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y=gaussmf(x,[1 0]);
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plot(x,y)
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hold on
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% line([0 0],[ 0 1])
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% set(gca,'xtick',[],'xticklabel',[])
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% set(gca,'ytick',[],'yticklabel',[])
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axis([-4 4 0 1.2])
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axis normal
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xlabel('gaussmf, P=[2 5]')
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12
OPF.m
12
OPF.m
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@ -53,10 +53,10 @@ for II=1:1
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%%
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%%
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Precision=Precision/1;
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Precision=Precision/1;
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%% ¼ÓÎó²î
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%% ¼ÓÎó²î
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PD0(Loadi)=PD0(Loadi).*(1+normrnd(0,0.5,length(Loadi),1));
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PD0(Loadi)=PD0(Loadi).*(1+normrnd(0,0.05,length(Loadi),1));
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QD0(Loadi)=QD0(Loadi).*(1+normrnd(0,0.5,length(Loadi),1));
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QD0(Loadi)=QD0(Loadi).*(1+normrnd(0,0.05,length(Loadi),1));
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load('0PD0.mat');
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load('200PD0.mat');
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load('0QD0.mat');
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load('200QD0.mat');
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% PG0(PGi)=PG0(PGi).*(1+normrnd(0,0.01,length(PGi),1));
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% PG0(PGi)=PG0(PGi).*(1+normrnd(0,0.01,length(PGi),1));
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% QG0(PVi)=QG0(PVi).*(1+normrnd(0,0.01,length(PVi),1));
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% QG0(PVi)=QG0(PVi).*(1+normrnd(0,0.01,length(PVi),1));
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%% ¶Á±äѹÆ÷ÈÝÁ¿
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%% ¶Á±äѹÆ÷ÈÝÁ¿
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@ -132,12 +132,14 @@ PD(Loadi)=thesis.MeanPD();
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QD(Loadi)=thesis.MeanQD();
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QD(Loadi)=thesis.MeanQD();
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PG(Balance)=thesis.MeanPG();
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PG(Balance)=thesis.MeanPG();
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QG(PVi)=thesis.MeanQG();
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QG(PVi)=thesis.MeanQG();
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thesis.MaxDeviation(RealPG(Balance),RealQG(PVi),RealPD(Loadi),RealQD(Loadi))
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thesis.StatDeviation(RealPG(Balance),RealQG(PVi),RealPD(Loadi),RealQD(Loadi))
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thesis.MaxDeviation(PG0(Balance),QG0(PVi),PD0(Loadi),QD0(Loadi))
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thesis.MaxDeviation(PG0(Balance),QG0(PVi),PD0(Loadi),QD0(Loadi))
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thesis.StatDeviation(PG0(Balance),QG0(PVi),PD0(Loadi),QD0(Loadi))
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thesis.StatDeviation(PG0(Balance),QG0(PVi),PD0(Loadi),QD0(Loadi))
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% thesis.SqareDeviation(RealPG(Balance(1)),RealQG(PVi(1)),RealPD(Loadi),RealQD(Loadi))
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% thesis.SqareDeviation(RealPG(Balance(1)),RealQG(PVi(1)),RealPD(Loadi),RealQD(Loadi))
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thesis.SqareDeviation(PG0(Balance(1)),QG0(PVi(1)),PD0(Loadi),QD0(Loadi))
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thesis.SqareDeviation(PG0(Balance(1)),QG0(PVi(1)),PD0(Loadi),QD0(Loadi))
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thesis.PercentOfPass(PG0(Balance(1)),QG0(PVi(1)),PD0(Loadi),QD0(Loadi))
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thesis.PercentOfPass(PG0(Balance(1)),QG0(PVi(1)),PD0(Loadi),QD0(Loadi))
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thesis.MaxBranchDeviation(Linei,Linej,Liner,Linex,Lineb,Transfori,Transforj,Transforr,Transforx,Branchi,Branchg,Branchb,Transfork0,Volt0,UAngel0,Volt,UAngel,'E:\ËãÀý\Áø½ð¢ñ926_21671693_2012-09-06\newFIle0.txt',PD0,QD0)
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thesis.MaxBranchDeviation(Linei,Linej,Liner,Linex,Lineb,Transfori,Transforj,Transforr,Transforx,Branchi,Branchg,Branchb,Transfork0,Volt0,UAngel0,Volt,UAngel,'E:\ËãÀý\Áø½ð¢ñ926_21671693_2012-09-06\newFIle20.txt',PD0,QD0)
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thesis.StatBranchDeviation(Linei,Linej,Liner,Linex,Lineb,Transfori,Transforj,Transforr,Transforx,Branchi,Branchg,Branchb,Transfork0,Volt0,UAngel0,Volt,UAngel)
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thesis.StatBranchDeviation(Linei,Linej,Liner,Linex,Lineb,Transfori,Transforj,Transforr,Transforx,Branchi,Branchg,Branchb,Transfork0,Volt0,UAngel0,Volt,UAngel)
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toc
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toc
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@ -20,9 +20,9 @@ wQG=0;
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%randInt=randperm(size(Loadi,1));
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%randInt=randperm(size(Loadi,1));
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%randPDind=randInt(1:10);
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%randPDind=randInt(1:10);
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randPDind=0;
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randPDind=0;
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wPD=1/.5^2*zeros(size(Loadi,1),1);
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wPD=1/.05^2*zeros(size(Loadi,1),1);
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wPD(1:2:end)=0;
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wPD(1:2:end)=0;
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wQD=1/.5^2*ones(size(Loadi,1),1);
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wQD=1/.05^2*ones(size(Loadi,1),1);
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wQD(1:2:end)=0;
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wQD(1:2:end)=0;
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%wD(randPDind)=0;%一些负荷不约束
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%wD(randPDind)=0;%一些负荷不约束
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%wD(7)=0;
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%wD(7)=0;
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@ -20,10 +20,10 @@ wQG=0;
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%randInt=randperm(size(Loadi,1));
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%randInt=randperm(size(Loadi,1));
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%randPDind=randInt(1:10);
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%randPDind=randInt(1:10);
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randPDind=0;
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randPDind=0;
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wPD=1/.5^2*ones(size(Loadi,1),1);
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wPD=1/.05^2*zeros(size(Loadi,1),1);
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% wPD(1:2:end)=0;
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wPD(1:2:end)=0;
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wQD=1/.5^2*ones(size(Loadi,1),1);
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wQD=1/.05^2*zeros(size(Loadi,1),1);
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% wQD(1:2:end)=0;
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wQD(1:2:end)=0;
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%wD(randPDind)=0;%一些负荷不约束
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%wD(randPDind)=0;%一些负荷不约束
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%wD(7)=0;
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%wD(7)=0;
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% wD(11)=0;
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% wD(11)=0;
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