## Genetic Algorithm Solution to Economic Dispatch

Versión 1.0.0.0 (21.6 KB) por
This program solves the economic dispatch problam using MATLAB genetic algorithm toolbox

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This software contain two examples gatest.m and gatest.1.By running the programs as they are in the default folder. The allocation minimum fuel cost and transmission losses can be determined.

% The Example system is taken from the book Power System Analysis by Prof Haadi Sadaat Example 7.8
% 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)
%no of rows denote the no of plants(n)
% x=[0 0]
global data B B0 B00 Pd
data=[0.008 7 200 10 85
0.009 6.3 180 10 80
0.007 6.8 140 10 70];
% Loss coefficients it should be squarematrix of size nXn where n is the no
% of plants
B=.01*[.0218 .0093 .0028;.0093 .0228 .0017;.0028 .0017 .0179];
B0=[.0003 .0031 .0015];
B00=100*.00030523;
options = gaoptimset;
options = gaoptimset('PopulationSize', 50,'Generations', 500,'TimeLimit', 200,'StallTimeLimit', 100,'PlotFcns', {@gaplotbestf,@gaplotbestindiv})
[x ff]=ga(@eldga1,2,options)
[ F P1 Pl]=eldga1(x)
F =

1.6000e+003

P1 =

34.0089 64.0272 54.6342

Pl =

2.3491

ALL THE BEST

### Citar como

RMS Danaraj (2023). Genetic Algorithm Solution to Economic Dispatch (https://www.mathworks.com/matlabcentral/fileexchange/20825-genetic-algorithm-solution-to-economic-dispatch), MATLAB Central File Exchange. Recuperado .

##### Compatibilidad con la versión de MATLAB
Se creó con R14SP2
Compatible con cualquier versión