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Abstract
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Article Information:
Power System Stabilizer Design Based on Model Reference Robust Fuzzy Control
Mohammad Reza Yazdchi and Sayed Mojtaba Shirvani Boroujeni
Corresponding Author: Sayed Mojtaba Shirvani Boroujeni
Submitted: September 25, 2011
Accepted: October 24, 2011
Published: April 15, 2012 |
Abstract:
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Power System Stabilizers (PSS) are used to generate supplementary damping control signals for the
excitation system in order to damp the Low Frequency Oscillations (LFO) of the electric power system. The
PSS is usually designed based on classical control approaches but this Conventional PSS (CPSS) has some
problems in power system control and stability enhancement. To overcome the drawbacks of CPSS, numerous
techniques have been proposed in literatures. In this study a new method based on Model Reference Robust
Fuzzy Control (MRRFC) is considered to design PSS. In this new approach, in first an optimal PSS is designed
in the nominal operating condition and then power system identification is used to obtain model reference of
power system including optimal PSS. With changing system operating condition from the nominal condition,
the error between obtained model reference and power system response in sent to a fuzzy controller and this
fuzzy controller provides the stabilizing signal for damping power system oscillations just like PSS. In order
to model reference identification a PID type PSS (PID-PSS) is considered for damping electric power system
oscillations. The parameters of this PID-PSS are tuned based on hybrid Genetic Algorithms (GA) optimization
method. The proposed MRRFC is evaluated against the CPSS at a single machine infinite bus power system
considering system parametric uncertainties. The simulation results clearly indicate the effectiveness and
validity of the proposed method.
Key words: Low frequency oscillations, model reference robust fuzzy control, power system identification, power system stabilizer, , ,
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Cite this Reference:
Mohammad Reza Yazdchi and Sayed Mojtaba Shirvani Boroujeni, . Power System Stabilizer Design Based on Model Reference Robust Fuzzy Control. Research Journal of Applied Sciences, Engineering and Technology, (08): 852-858.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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