'Institute of Electrical and Electronics Engineers (IEEE)'
Abstract
The solution of generation scheduling (GS) problems
involves the determination of the unit commitment (UC) and
economic dispatch (ED) for each generator in a power system at
each time interval in the scheduling period. The solution
procedure requires the simultaneous consideration of these two
decisions. In recent years researchers have focused much
attention on new solution techniques to GS. This paper proposes
the application of a variety of genetic algorithm (GA) based
approaches and investigates how these techniques may be
improved in order to more quickly obtain the optimum or near
optimum solution for the GS problem. The results obtained show
that the GA-based hybrid approach offers an effective alternative
for solving realistic GS problems within a realistic timeframe
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