Title:
Real-Coded-Genetic-Algorithm-for-Robust Download
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- matlab
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- 459kb
- Update:
- 2013-10-14
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- ali
Description: Power system stabilizers (PSS) are now routinely used
in the industry to damp out power system oscillations. In this paper,
real-coded genetic algorithm (RCGA) optimization technique is
applied to design robust power system stabilizer for both singlemachine
infinite-bus (SMIB) and multi-machine power system. The
design problem of the proposed controller is formulated as an
optimization problem and RCGA is employed to search for optimal
controller parameters. By minimizing the time-domain based
objective function, in which the deviation in the oscillatory rotor
speed of the generator is involved stability performance of the
system is improved. The non-linear simulation results are presented
under wide range of operating conditions disturbances at different
locations as well as for various fault clearing sequences to show the
effectiveness and robustness of the proposed controller and their
ability to provide efficient damping of low frequency oscillations.
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Real-Coded Genetic Algorithm for Robust.pdf