Home           Contact us           FAQs           
     Journal Home     |     Aim & Scope    |    Author(s) Information      |     Editorial Board     |     MSP Download Statistics
2012 (Vol. 4, Issue: 08)
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 

Key words:  Low frequency oscillations, model reference robust fuzzy control, power system identification, power system stabilizer, , ,
Vol. 4 , (08): 852-858
Submitted Accepted Published
September 25, 2011 October 24, 2011 April 15, 2012

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.
Abstract PDF HTML
  Cite this Reference:
Mohammad Reza Yazdchi and Sayed Mojtaba Shirvani Boroujeni, 2012. Power System Stabilizer Design Based on Model Reference Robust Fuzzy Control.  Research Journal of Applied Sciences, Engineering and Technology, 4(08): 852-858.
    Advertise with us
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2015. MAXWELL Scientific Publication Corp., All rights reserved