120 lines
3.6 KiB
Matlab
120 lines
3.6 KiB
Matlab
clear
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clc
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% yalmip('clear')
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addpath('.\Powerflow')
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[~, ~, ~, ~,Volt,Vangle,Y,Yangle,r,c,newwordParameter,PG,QG,PD,QD,Balance]=pf('ieee14.dat', '0');
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%% 量测量
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% 电压 节点电流 支路电流 节点功率 支路功率
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%%
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%% 状态量
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% 电压 相角
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%%
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%% 开始生成量测量
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sigma=0.03;% 标准差
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%% 电压
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%电压幅值
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rVolt=Volt; %幅值
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mVolt=rVolt.*(normrnd(0,sigma,length(Volt),1)+1);%电压量测量
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rVAngel=Vangle;
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%% 电流
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%注入电流
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cmpY=Y.*exp(1j*sparse(r,c,Yangle,length(Y),length(Y)));%复数导纳矩阵
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cmpV=Volt.*exp(1j*Vangle); %复数电压
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cmpI=cmpY*cmpV;% 注入电流
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rI=abs(cmpI); %注入电流量测量要的是电流幅值
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mI=rI.*(normrnd(0,sigma,length(rI),1)+1);%电流量测量
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%% 支路电流
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% 支路电流
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lineI=newwordParameter.line.lineI;
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lineJ=newwordParameter.line.lineJ;
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lineR=newwordParameter.line.lineR;
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lineX=newwordParameter.line.lineX;
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lineB2=newwordParameter.line;
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cmpBranchI=(cmpV(lineI)-cmpV(lineJ))./(lineR+1j*lineX);%复数支路电流
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rBranchI=abs(cmpBranchI);% 支路电流幅值
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mBranchI=rBranchI.*(normrnd(0,sigma,length(rBranchI),1)+1);%支路电流量测量
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%% 支路功率
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rBranchP=real((cmpV(lineI)-cmpV(lineJ)).*conj(cmpBranchI));
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mBranchP=rBranchP.*(normrnd(0,sigma,length(rBranchP),1)+1);%支路功率量测量
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rBranchQ=imag((cmpV(lineI)-cmpV(lineJ)).*conj(cmpBranchI));
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mBranchQ=rBranchQ.*(normrnd(0,sigma,length(rBranchQ),1)+1);%支路功率量测量
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%% 注入功率
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rPD=PD;
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PDi=find(PD~=0);
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rQD=QD;
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QDi=find(QD~=0);
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rPG=PG;
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PGi=find(PG~=0);
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rQG=QG;
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QGi=find(QG~=0);
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mPD=rPD.*(normrnd(0,sigma,length(rPD),1)+1);
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mQD=rQD.*(normrnd(0,sigma,length(rQD),1)+1);
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mPG=rPG.*(normrnd(0,sigma,length(rPG),1)+1);
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mQG=rQG.*(normrnd(0,sigma,length(rQG),1)+1);
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%% 0注入节点
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zerosInjectionIndex=1:length(Volt);
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zerosInjectionIndex=zerosInjectionIndex( ~(PD~=0|QD~=0|PG~=0|QG~=0) );
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%% 变压器功率
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rTransP=TransPower( newwordParameter,cmpY,rVolt,rVAngel );
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rTransQ=TransReactivePower( newwordParameter,cmpY,rVolt,rVAngel );
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mTransP=rTransP.*(normrnd(0,sigma,length(rTransP),1)+1);
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mTransQ=rTransQ.*(normrnd(0,sigma,length(rTransQ),1)+1);
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%% 发电机注入功率
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% 先找到只有发电机的节点
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PDQDi=union(PDi,QDi);
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onlyPG=setdiff(PGi,PDQDi);
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onlyQG=setdiff(QGi,PDQDi);
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%% 冗余度计算
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stateVarCount=2*length(Volt);
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measurements=length(mVolt)+length(mBranchI)+length(mBranchP)+length(mBranchQ)+length(mPG)+length(mQG)+length(mTransP)+length(mTransQ);
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fprintf('冗余度 %f\n',measurements/stateVarCount);
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%% Opti ToolBox
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Busnum=length(Volt);
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seOpti=SEOpti();
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%% save
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% save('mVolt','mVolt');
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% save('mPG','mPG');
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% save('mQG','mQG');
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% save('mBranchI','mBranchI');
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% save('mBranchP','mBranchP');
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% save('mBranchQ','mBranchQ');
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% save('mTransP','mTransP');
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% save('mTransQ','mTransQ');
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%% load
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load('mVolt');
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load('mPG');
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load('mQG');
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load('mBranchI');
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load('mBranchP');
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load('mBranchQ');
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load('mTransP');
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load('mTransQ');
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seOpti=seOpti.init(Busnum, mVolt,sigma,newwordParameter,zerosInjectionIndex,cmpY,onlyPG,onlyQG,mPG,mQG,Balance,mBranchI,mBranchP,mBranchQ,mTransP,mTransQ);
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opts = optiset('solver','ipopt');
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opts.maxiter=85500;
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opts.maxtime=3000;
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opts.maxfeval=85000;
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opts.maxnodes=85000;
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opts.tolrfun=1e-4;
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opts.tolafun=1e-4;
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opts.warnings='all';
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opts.display='off';
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x0=[ones(Busnum,1);-0.5*ones(Busnum,1)];
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% x0=[rVolt;rVAngel];
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[~,seOpti]=seOpti.equ(x0);
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nlrhs=seOpti.nlrhs();
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nle=seOpti.nle();
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Opt = opti('fun',@seOpti.fun,'ndec',length(Volt)*2,'nlmix',@seOpti.equ,nlrhs,nle,'options',opts)
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% Opt = opti('fun',@seOpti.fun,'ndec',length(Volt)*2,'options',opts)
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[x,fval,exitflag,info] = solve(Opt,x0);
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info
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%% 输出结果
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SEVolt=x(1:length(Volt));
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SEVAngel=x(length(Volt)+Balance:2*length(Volt));
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fprintf('目标函数为:%f\n',fval);
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fprintf('相对误差\n');
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(abs(rVolt-double(SEVolt)))./(rVolt)
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MaxDeviation(rVolt,SEVolt,rVAngel,SEVAngel)
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plotAndComparison( rVolt,rVAngel,SEVolt,SEVAngel )
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seOpti.fun(x); |