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### Highlights from Genetic Algorithm Solution to Economic Dispatch

• eldga.mThis program solves the economic dispatch with Bmn coefficients by
• eldga1.m
• gatest.mThis program solves the economic dispatch with Bmn coefficients byGenetic
• gatest1.mThis program solves the economic dispatch with Bmn coefficients by
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# Genetic Algorithm Solution to Economic Dispatch

### RMS Danaraj (view profile)

23 Jul 2008 (Updated )

This program solves the economic dispatch problam using MATLAB genetic algorithm toolbox

File Information
Description

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

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Required Products Global Optimization Toolbox
MATLAB release MATLAB 7.0.4 (R14SP2)