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Unit commitment

### Abstract:

In this work we have compared several optimization methods
to solve unit commitment, scheduling of power generators.
The problem is to find the most economic production and
trade program for power generation, when the power consumption
and the technological and economical parameters
of the power sources are known.
Well done optimization could provide substantial annual savings in operational
and fuel costs.
Unit commitment was done by formulating it
as a mixed integer problem, which included
the most important economic and technological parameters.
The unit commitment has often been solved by linear programming.
In this work we have tried to extend linear programming to
better meet this nonlinear problem.
This has been done by e.g. double pivoting,
pairwise exclusive restriction and additional penalty functions.
We have compared these extended linear methods to
other well known optimization methods including genetic algorithms.

**Keywords:**
power engineering ,
unit commitment problem ,
scheduling ,
industrial economics ,

*Tommi Rintala *

Thu Jul 4 10:59:43 EET DST 1996