gascenarioreduction/main.m

clear
clc
data=dlmread('<EFBFBD><EFBFBD><EFBFBD><EFBFBD>.csv');
%% <EFBFBD><EFBFBD><EFBFBD>ݴ<EFBFBD><EFBFBD><EFBFBD>
%<EFBFBD><EFBFBD>ʱ<EFBFBD><EFBFBD>T<EFBFBD><EFBFBD>ÿ<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ó<EFBFBD><EFBFBD><EFBFBD>
snWind=data(:,1:3:end);
snSolar=data(:,2:3:end);
snP=data(:,3:3:end);
snP(snP==-100)=1;
randSNCount=100; %ҪС<EFBFBD><EFBFBD>16^288 <EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ij<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
gaCount=100;%<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
%% <EFBFBD><EFBFBD>ʼ<EFBFBD><EFBFBD>
ga=repmat(struct(),gaCount,1);
for I=1:gaCount
    [ selectedIndex] = initGA( randSNCount );
    %     [ selectedIndex] = evolute(selectedIndex,randSNCount );
    ga(I).selectedIndex=selectedIndex;
    [ selectedWind,selectedSolar,candidateP ] = generateCandidate( snWind,snSolar,snP,randSNCount,ga(I).selectedIndex );
    [ fitness ] = fitnessFun( selectedWind,selectedSolar,candidateP,randSNCount );
    ga(I).fitness=fitness;
end

bestFitness=0;
bestIndex=0;
for LOOP=1:100
    fprintf('<EFBFBD><EFBFBD>%d<EFBFBD>ε<EFBFBD><EFBFBD><EFBFBD>\n',LOOP);
    fprintf('<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ʶȺ<EFBFBD><EFBFBD><EFBFBD>%f\n',bestFitness);
    for I=1:gaCount
        fitness=ga(I).fitness;
        if fitness>bestFitness
            bestFitness=fitness;
            bestIndex=ga(I).selectedIndex;
        end
    end
    
    for I=1:gaCount
        [ selectedIndex] = evolute(selectedIndex,randSNCount );
        ga(I).selectedIndex=selectedIndex;
        [ selectedWind,selectedSolar,candidateP ] = generateCandidate( snWind,snSolar,snP,randSNCount,ga(I).selectedIndex );
        [ fitness ] = fitnessFun( selectedWind,selectedSolar,candidateP,randSNCount );
        ga(I).selectedIndex=selectedIndex;
        ga(I).fitness=fitness;
    end
end