38 lines
1.1 KiB
Matlab
38 lines
1.1 KiB
Matlab
clear
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clc
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data=dlmread('数据.csv');
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%% 数据处理
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%按时段T把每个场景拿出来
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snWind=data(:,1:3:end);
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snSolar=data(:,2:3:end);
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snP=data(:,3:3:end);
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snP(snP==-100)=1;
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%% 初始化
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% 随机生成一下初始场景序列
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randSNCount=100; %要小于16^288
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selectedIndex=round(1+(16-1)*rand(randSNCount,96));
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selectedWind=zeros(randSNCount,96);
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selectedSolar=zeros(randSNCount,96);
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selectedP=zeros(randSNCount,96);
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for I=1:randSNCount
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onesIndex=sparse(selectedIndex(I,:),1:96,1,16,96);
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selectedWind(I,:)=sum(snWind.*onesIndex);
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selectedSolar(I,:)=sum(snSolar.*onesIndex);
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selectedP(I,:)=sum(snP.*onesIndex);
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end
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candidateP=prod(selectedP,2);
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candidateP=candidateP./sum(candidateP);
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%计算适度函数
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fitness=0;
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for I=1:randSNCount
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for J=1:randSNCount
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fitness=fitness+candidateP(I)*( abs( sum(selectedWind(I,:)-selectedWind(J,:)) )+abs( sum(selectedSolar(I)-selectedSolar(J)) ) );
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end
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end
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fitness=fitness/randSNCount/randSNCount;
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%修改领域
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changeN=5;%选择多少时段进行修改。
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changedIndex=1:96;
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changedIndex=changedIndex( round(1+(96-1)*rand(changeN,1)) );
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selectedIndex(:,changedIndex)=round(1+(16-1)*rand(randSNCount,changeN));%这是改变后的值
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