Software Listing of Author : "Saloman Danaraj"

This code solves the economic dispatch by quadratic programming.Monotonic quadratic Fuel cost equations with Bmn coefficients is considered this model.

  • Platform: Matlab, Scripts

This software solves the economic emission dispatch by quadratic programming.The fuel cost equations,emission coefficients ,Bmn coeffcients and the demand should be entered and the subroutien emield.m should be executed.

  • Platform: Matlab, Scripts

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',...

  • Platform: Matlab, Scripts

This software contains one example taken from the reference paper given with this program. By running the programs as they are in the default pso folder the economic dispatch problem can be solved. The allocation minimum fuel cost and transmission losses are determined. By running the program the PSO and the quadratic program method can be applied to solve economic dispatch problem. I am using the PSOt, particle swarm optimization toolbox for matlab developed by Prof Brian Birge (Reference).My sincere thanks to him for the efficient toolbox.

  • Platform: Matlab, Scripts

This software solves the powerflow in rectangular coordinates.This is applied to distribution as well as transmission systems

  • Platform: Matlab, Scripts

This software contains two examples psotest.m and psotest.1.By running the programs (psotest.m or psotest1.m) as they are in the default pso1 folder the economic dispatch problem can be solved. The allocation minimum fuel cost and transmission losses are determined. 3. I am using the PSOt, particle swarm optimization toolbox for matlab developed by Prof Brian Birge(Reference).My sincere thanks to him for the efficient toolbox. % 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 B0 B00 data=[0.008 7 200 10 85 0.009 6.3 180 10 80 0.007 6.8 140 10 70]; B=.01*[.0218...

  • Platform: Matlab, Scripts

Dynamic economic dispatch is an important variant of economic dispatch,where the the ramp constraints also considered .This software presents a simple way of implementing the quadaratic programming to solve the problem.

  • Platform: Matlab, Scripts

This software contains one example taken from the reference paper given with this program..By running the file P1.m as they are in the default ABC-eld folder the economic dispatch problem can be solved. The allocation minimum fuel cost and transmission losses are determined. By running the program the PSO and the quadratic program method can be applied to solve economic dispatch problem. 3. I am using the Artificial Bee Colony (ABC) one of the most recently defined algorithms by Dervis Karaboga in 2005, motivated by the intelligent behavior of honey bees. * Referance Papers*/ *D. Karaboga, AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION,TECHNICAL REPORT-TR06, Erciyes University, Engineering Faculty, Computer Engineering Department 2005.*/ *D. Karaboga, B. Basturk, A powerful and Efficient Algorithm for Numerical Function...

  • Platform: Matlab, Scripts

This software contains one example taken from the reference paper given with this program.By running the program detest1.m as they are in the default deevol1 folder the economic dispatch problem can be solved. A six bus system with Bmn coefficients is considered for simulations The allocation minimum fuel cost and transmission losses are determined. The optimal solution for a demand of 1100 MW is given below Elapsed time is 1.163033 seconds. F =57870.968 P1 = 47.5988 37.6179 225.0000 196.6339 325.0000 315.0000 Pl = 46.8505

  • Platform: Matlab, Scripts

This software contain one example By running the program test1.m as it is in the default folder the economic dispatch problem is solved. 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 results Initial temperature: 100 Final temperature: 9.04626e-007 Consecutive rejections: 12248 Number of function calls: 248012 Total final loss: 36912.2 F =3.6912e+004 P1 = 28.2912 10.0000 118.9586 118.6796 230.7620 212.7404 Pl = 19.4318 Elapsed time is 40.000000 seconds. ALL THE BEST

  • Platform: Matlab, Scripts
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