Can I get the code for Economic Load Dispatch using Gradient Descent (matlab)?
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I'm not getting how to proceed after this!!
clc
a=[500;400;200];
b=[5.31;5.5;5.8];
g=[0.004;0.005;0.009];
lambda=input('enter vvalue of lambda');
iter=0;
Pd=800;
n=length(a);
delP=5;tcost=0;
tolerance=0.0001;
while abs(delP)>tolerance
iter=iter+1;
x=0;
for i=1:n
p(i)=(lambda-b(i))/(2*g(i));
x=x+(1/(2*g(i)));
cost=(a(i)+(b(i)*p(i))+(g(i)*p(i)*p(i)));
11 comentarios
Suzzane M
el 24 de Jun. de 2020
mahesh kumar
el 24 de Jun. de 2020
Editada: mahesh kumar
el 24 de Jun. de 2020
HI! which paper/text are you following..for gradient descent algr..
(other than allen j. wood??)
Suzzane M
el 24 de Jun. de 2020
mahesh kumar
el 24 de Jun. de 2020
nice sister, did you get your answer?
mahesh kumar
el 24 de Jun. de 2020
Editada: mahesh kumar
el 25 de Jun. de 2020
you seem to have bn using too many for loops; try this..
clc
clear
linedata=[ 0.001562 7.92 561 400;
0.00194 7.85 310 300;
0.00482 7.97 78 150; ];
dP=1;
a = linedata(:,1);
b = linedata(:,2);
c = linedata(:,3);
p = linedata(:,4);
while abs(dP)>0.001
df=b+2*a.*p;
lamda = sum(df)/3;
disp(lamda)
pn=p-df+lamda;
disp(pn)
% pt=sum(pn)
% for i = 1:3
% fc(i) = c(i)+b(i)*p(i)+(a(i)*(p(i)^2));
% end
dP=p-pn
p=pn; disp(p); disp(sum(p))
end
fc=c+b.*p+a.*p.*p;
fuelcost = sum(fc);
disp(fuelcost)
Suzzane M
el 25 de Jun. de 2020
mahesh kumar
el 25 de Jun. de 2020
Editada: mahesh kumar
el 25 de Jun. de 2020
I'll send something today,by evening,ok?
Suzzane M
el 25 de Jun. de 2020
Suzzane M
el 25 de Jun. de 2020
mahesh kumar
el 27 de Jun. de 2020
Editada: mahesh kumar
el 27 de Jun. de 2020
try this::
B = [.00003 0 0;0 .00009 0 ; 0 0 .00012]; dB=diag(B); load=850;
x=max(b); dP=1;i=0;
z=randperm(10000,length(b))'; P=load*z/sum(z);
while abs(dP)>0.000001
i=i+1; disp(i);
dP=load+P'*B*P-sum(P); % loss=P'*B*P;
x=x+dP*2/(sum(1./a));
P=(x-b-2*(B*P-dB.*P))./(2*a+2*x*dB);
% plot(x,P,'x'); hold on; pause(1);
% C=c+b.*P+a.*P.*P;
% plot(x,sum(C)/100,'o');
end
Suzzane M
el 28 de Jun. de 2020
Respuestas (1)
mahesh kumar
el 29 de Jun. de 2020
Editada: mahesh kumar
el 29 de Jun. de 2020
0 votos
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