psotest.m

Particle Swarm Algorithm

% the data matrix should have 5 columns of fuel cost coefficients and plant  limits.
% 1.a ($/MW^2) 2. b $/MW 3. c ($) 4.lower lomit(MW) 5.Upper limit(MW)
% This Example system is taken from the book Power System Analysis  by Prof Haadi Sadaat Example 7.8
%no of rows denote the no of plants(n)
clear
clc;
format long;
global data B  Pd
data=[0.15247	38.53973	756.79886	10	125
0.10587	46.15916	451.32513	10	150
0.02803	40.3965	1049.9977	35	225
0.03546	38.30553	1243.5311	35	210
0.02111	36.32782	1658.569	130	325
0.01799	38.27041	1356.6592	125	315];
B=1e-4*[1.4 .17 .15 .19 .26 .22;.17 .60 .13 .16 .15 .20;.15 .13 .65 .17 .24 .19;.19 .16 .17 .71 .30 .25;.26 .15 .24 .30 .69 .32;.22 .20 .19 .25 .32 .85];
Pd=700;
 l=data(:,4)';
u=data(:,5)';
ran=[l' u'];
n=length(data(:,1));
Pdef = [50 1000 10 2 2 0.9 0.4 1500 1e-6 5000 NaN 0 0];
 [OUT]=pso_Trelea_vectorized('psoeld',n,1,ran,0,Pdef);
 out=abs(OUT)
 P=out(1:n)
  [F P Pl]=psoeld(P')
  % comparision by quadratic programming
  [P1 Fcost1 Pl1]=eld(data,B,Pd)