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
Initial temperature: 100
Final temperature: 9.04626e-007
Consecutive rejections: 12248
Number of function calls: 248012
Total final loss: 36912.2
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
RMS Danaraj (2020). Solution to Economic Dispatch by simulated annealing (https://www.mathworks.com/matlabcentral/fileexchange/27274-solution-to-economic-dispatch-by-simulated-annealing), MATLAB Central File Exchange. Retrieved .
Dear all,what is the range of variables in simulated annealing algorithm and how to determine it? It seem that there are no the upper and lower boundary
I need network reference used
can anyone tell me why the objective function (saeld) has three outputs? how optimisation algorithm can tack it? and the most importantly, what the input argument of saeld (x) represents?
Inspired by: General simulated annealing algorithm