Home           Contact us           FAQs           
     Journal Home     |     Aim & Scope    |    Author(s) Information      |     Editorial Board     |     MSP Download Statistics
2013 (Vol. 5, Issue: 01)
Article Information:

Multi-Machine Power System Stabilizer Design using Quantitative Feedback Theory

Sayed Mojtaba Shirvani Boroujeni, Babak Keyvani Boroujeni and Mostafa Abdollahi
Corresponding Author:  shirvani 

Key words:  Low frequency oscillations, multi machine electric power system, power system stabilizer,, quantitative feedback theory, , ,
Vol. 5 , (01): 94-99
Submitted Accepted Published
March 10, 2012 April 04, 2012 January 01, 2013

Power System Stabilizers (PSSs) are used to enhance damping of power system oscillations through excitation control of synchronous generator. The objective of the PSS is to generate a stabilizing signal, which produces a damping torque component on the generator shaft. Conventional PSSs are designed with the phase compensation technique in the frequency domain and include the lead-lag blocks whose parameters are determined according to a linearized power system model. The performance of Conventional PSSs (CPSSs) depends upon the generator operating point and the system parameters, but a reasonable level of robustness can be achieved depending on the tuning method. To overcome the drawbacks of CPSS, numerous techniques have been proposed in literatures. In this paper a robust method based on Quantitative Feedback Theory (QFT) Algorithm is used for tuning the PSS parameters. The proposed QFT-PSS is evaluated at a multi machine electric power system. The simulation results clearly indicate the effectiveness and validity of the proposed method.
Abstract PDF HTML
  Cite this Reference:
Sayed Mojtaba Shirvani Boroujeni, Babak Keyvani Boroujeni and Mostafa Abdollahi, 2013. Multi-Machine Power System Stabilizer Design using Quantitative Feedback Theory.  Research Journal of Applied Sciences, Engineering and Technology, 5(01): 94-99.
    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