Dear Izaz

can you explain your problem in more detail. and which data you need to optimize at the end.  Is there relationship between  P_min, P-max, hour, unit, and Power_demand?

Just explain what you want to get at the end of optimization.

To generate a random number between a and b, you have to write the statement:

x=a+rand()*(b-a);

Of course, this will generate a floating point number in the given range from uniform distribution. If you need an integer in the range, then use the following:

x=randint(1,1,[a,b])

If you need a mxn matrix of matrix in this range, then

x=randint(m,n,[a,b])

is useful. In newer versions, randint is replaced by randi.

You will have to either use two loops as follows

for i=1:No_of_Hours

      for j=1:No_of_Units

or you can generate a matrix of appropriate dimensions as per your need.

Dear Rajesh Sanghvi, many thanks for your help. Actually, I am trying to implement a newly developed modified PSO to Dynamic Economic Dispatch Problem in power system. In the sample case study, I have 5 Unit System, and I want to solve the optimal dispatch for 24 hours. I have different power demand for each hour. I have already applied for static Economic Dispatch, where I have just a single static load. That was quite easy and simple. But in the DED, I have the time factor, 24 hours. I have initialized in the way you have suggested. However, in DED it will become like.

for i =  1: No_of_Hours

          for j = 1: Population

                    for k = 1: No_of_Units

the dimensionality look like 24 * 100 * 5.

Sir, if you have experience about ED and DED problem, I can share my code.

Dear Adel, Thanks for your answer. Yes, there is a relationship. Actually, P_min(1), and P_max(1) , P_min(2), P_max(2),... are the minimum maximum boudaries of unit 1 and unit 2. Power_Demand(1), is assigned in Hours(1) to the entire 5 unit system, to find the optimal setting for the desire load.

The method I am trying to use here is PSO algorithm as solution.

I do not have an experience in ED and DED problems but I have implemented PSO and GA in transformer design. You can send me the code. Please also send me a word file explaining what exactly you want to do and the problem formulation in mathematical terms i.e.objective function and constraints. I will try my best to solve your problem. However, please give me sufficient time as I have other commitments also.

Dear Rajesh, I really appreciate your help. I am adding my email address here. please send me a test email. I will then send you the code.

[email protected]

Dear Izaz

I think the main step of the problem will be as follow:

- Iteration = for example =100

- generate a population P[N], for example  N = 30;

while (iteration > 0 do)

{

          for each P[i] do               i = 1, 2, ...30

         {

                 for each Hours[j] do    j = 1,2, ... 24

                 {

                              for each Unit [k]  do        k = 1, 2, ... 5

                              {  Unit  [k] = random(P_max[k],  P_min[k])   }

                    Hours[j]

Assalamualaikum

Dear Izaz Rahman, you are able to create 3 dimension random number which are following matrix:

x=[unit1 unit2 unit3 unit4 unit5]

so;

unit=5;

n= number of particle;

for i=1:n0_hours

 for j = 1:unit

    x(:,j,i)=unifrnd(lb(unit),ub(unit),n,1);

 end

end

for the first random number, generated random number are not equal with total number of power demand, which are PSO will solve for you for the end of iteration.

You can send your code to me as I will try to help you to solve it.

Walaikum o Salam

Dear brother, many thanks for your kind response. That will be great if you could check my code. Please send me a test email on [email protected]. I will then be able to send you the code inshaAllah..

i have this code please send me your e mail to send it to you,

regards,

Dear Mai Eladany, The will be great, if you  could send me the code please. My email address is as follows:

[email protected]