I am currently working on the identification of the parameters of a solar panel (5P) using (PSO and ABC) algorithms. But unfortunately I find it hard to code these algorithms. Please is what you can send me the matlab codes of the PSO and ABC use to the parameter identification, thank you.
You can find these codes online. For example yarpiz.com provides you with the basic of these codes and you can implement it for your problem statement. There is a video tutorial also explaining how the code works. Hope this helps you.
hi ,
you can use this two m file i attach to this message
if you want more meta_heuristic algorithm message me.
best regards
Thank you very much for your cooperation.
I reformulate my problem. In the attached file you will find the simulation that I am doing. The problem is to have an undesired result. Since the variables come out of their operation interval.
for example:
****************************************************************************
****************************************************************************
%T=300;
%k1 = physconst('Boltzmann');
%K2=(T*k1)/1.6e-19;
%i=Iph-I0(exp((v+Rs*i)/n*K2)-1)-(v+Rs*i)/Rsh
%objf=1/24*sqrt(sum(i-[x1-x2*(exp((v+x3*i)/x4*K2)-1)-(v+x3*i)/x5])) such that
%x1 =Iph in [0,1]
%x2 = I0 in [0,1]
%x3 = Rs in [0,1]
%x4 = n in [1,2]
%x5 = Rsh in [20 100]
**************************************************************
***************************************************************
Desired interval:
X1 = Iph in [0,1]
X2 = I0 in [0,1]
X3 = Rs in [0,1]
X4 = n in [1,2]
X5 = Rsh in [20,100]
** 1st case:
In rows 123 and 124 (in pso.m) the limitation of the active variables
* obtained result:
The variables remain in the desired work area but the result is required. (See FIG. 1)
2nd case:
The limitation of the variables (in pso.m) is deactivated.
* obtained result:
The curve compute converges towards the experimental curve but the variables diverge from their operating domain. (Figure 2).
X1 = 0.042289610901086 false but in [0 1]
X2 = -1.703735888318927 false and diverge from [0 1]
X3 = -17.115210839470510 false and diverge from [0 1]
X4 = 2.990782015135789 false and diverge from [1 2]
X5 = 14.277914413465945 false and diverge from [20,100]
you can use PSO directly for your task, if you have a license for GADS Toolbox !!!!
thank you for your reply, but unfortunately I do not have a lisence gads toolbox
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