| Summary: | 博士 === 國立成功大學 === 電機工程研究所 === 84 === This dissertation proposes the evolutionary computing
approaches for solving the optimization problem of power system
operation. The evolutionary computing approaches consist of the
genetic algorithm (GA) and evolutionary programming (EP)
methods. In unit commitment (UC) problem, a GA method in
conjunction with constraint handling techniques is used to
search the near-global optimal unit scheduling solution
regarding on/off status of the units. To further take into
account the effects of units with nonsmooth fuel functions on
the unit generation scheduling an EP-based economic dispatch
methods for thermal and hydro units is presented, respectively.
The developed GA-based UC method is implemented on an eight-
processor transputer network, processors of which are arranged
as the master-slave and dual-direction ring structures.
Effectiveness of the EP-based economic dispatch method for
thermal units is demonstrated on two example systems. Numerical
results show that the proposed EP-based economic dispatch
algorithm can provide accurate dispatch solutions within
reasonable time for any type of fuel cost functions.
|
|---|
