• Thomas Olabode Ale 

##plugins.themes.bootstrap3.article.main##

Stability of Power system is the ability of a system, for a given initial operating condition, to regain a state of operating equilibrium after being subjected to a physical disturbance, with most system variables bounded so that practically the entire system remains intact. This research work stated clearly the effectiveness of the feedback and load compensation techniques in stabilizing a disturbed state of a medium transmission line using a Nominal-T configuration network. In order to achieve the set objectives, Osogbo - Akure transmission line data was obtained from Akure 132kV transmission substation.  This configuration was modeled into transfer function and state space models, the compensator circuit which happens to be the phase lag circuit was also modeled. The transfer function model contained the line parameters extracted from this transmission substation logbook. A state space model was obtained from the transfer function model with a code written in MATLAB environment. The effectiveness of these compensation techniques were compared. The result revealed that load compensation technique offered a perfect compensation to unit step disturbance and unit impulse disturbance. While feedback compensation technique provides perfect compensation to unit impulse disturbance only.

Downloads

Download data is not yet available.

References

  1. SAEED S. H. (2012): Automatic control systems (with MATLAB programs), S.K. Katara and sons, seventh revised edition.
     Google Scholar
  2. SEYMOUR J. (2000): Seven types of power problems, APC white papers, Electric Power Research Institute, first revision, the Cost of Power Disturbances to industrial and Digital Economy Companies, http://www.itic.org/clientuploads/Oct2000Curve.pdf.
     Google Scholar
  3. SRINDHI, R. (2006): Faculty of Mechanical Engineering, SJCE Mysore570006.
     Google Scholar
  4. SAMMY O. and MICHAEL B. (2007): MATLAB Control Systems Toolbox Compendium. ETH Zurich edition.
     Google Scholar