stateestimation-self-deriva.../@SEOpti/fun.asv

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function [ Objective ] = fun(this, x )
%FUN Summary of this function goes here
% Detailed explanation goes here
Objective=0;
SEVolt=x(1:this.Busnum);
SEVAngel=x(this.Busnum+1:2*this.Busnum);
Objective=sum(((SEVolt-this.mVolt)./this.sigma).^2);%<25><>ѹ
%% ֧·<D6A7><C2B7><EFBFBD><EFBFBD>
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cmpSEV=SEVolt.*exp(1j*SEVAngel); %<25><><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ѹ
cmpSEBranchI=(cmpSEV(this.lineI)-cmpSEV(this.lineJ))./(this.lineR+1j*this.lineX);%<25><><EFBFBD><EFBFBD>֧·<D6A7><C2B7><EFBFBD><EFBFBD>
SEBranchI=abs(cmpSEBranchI);% ֧·<D6A7><C2B7><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ֵ
Objective=Objective+sum((SEBranchI-this.mBranchI.^2).^2./this.sigma^2);%%<25><><EFBFBD><EFBFBD>
%% <20><>·<EFBFBD><C2B7><EFBFBD><EFBFBD>
SEBranchP=real((cmpSEV(this.lineI)-cmpSEV(this.lineJ)).*conj(cmpSEBranchI));
SEBranchQ=imag((cmpSEV(this.lineI)-cmpSEV(this.lineJ)).*conj(cmpSEBranchI));
Objective=Objective+sum((SEBranchP-this.mBranchP).^2/this.sigma^2);
Objective=Objective+sum((SEBranchQ-this.mBranchQ).^2/this.sigma^2);
%% <20><>ѹ<EFBFBD><D1B9>
newwordParameter=this.newwordParameter;
cmpY=this.cmpY;
transP=TransPower( newwordParameter,cmpY,SEVolt,SEVAngel );
Objective=Objective+sum((transP-this.mTransP).^2/this.sigma^2);
transQ=TransReactivePower( newwordParameter,cmpY,SEVolt,SEVAngel );
Objective=Objective+sum((transQ-this.mTransQ).^2/this.sigma^2);
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%% 0ע<30><D7A2><EFBFBD>ڵ<EFBFBD>
PQ=diag(cmpSEV)*conj(this.cmpY*cmpSEV);
%% <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ע<EFBFBD><EFBFBD><EBB9A6>
Objective=Objective+(this.mPG(this.onlyPG)-real(PQ(this.onlyPG)))/this.sigmas.onlyPG)-real(PQ(this.onlyPG)));
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% Objective=Objective+(this.mQG(this.onlyQG)-imag(PQ(this.onlyQG)))'*(1./this.sigma^2*eye(length(this.mQG(this.onlyQG))))*(this.mQG(this.onlyQG)-imag(PQ(this.onlyQG)));
end