Comparative Study between Conventional Controllers and Optimization of Lead-Lag Controller for Power System Stabilizer Using PSO

J. Abdul Jaleel(1*), N. Thanvy(2)

(1) University of Kerala, India
(2) TKM College of Engineering, India
(*) Corresponding author


DOI's assignment:
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)

Abstract


An important factor in electric system operation is its stability. A Power system stabilizer(PSS) whose objective is to generate stabilizing signal which are used to enhance damping of power  system oscillations through excitation control of synchronous generator.  In this paper, power system stabilizer based on four controllers are implemented on a single machine infinite bus system for attaining stability. Paper investigates on the four different controllers namely PI, PD, PID and Lead-Lag and a comparison study was done with the above controllers. These results are simulated in MATLAB simulink. For comparison Speed deviations, load angle deviations and terminal voltage deviations are taken in which the controllers showing its own advantages and disadvantage. Then using an optimization method, the lead-lag controllers tuning using Particle Swarm Optimization method are done and it get optimizes. A case study is taken for the optimization based Power system stabilizer.
Copyright © 2013 Praise Worthy Prize - All rights reserved.

Keywords


Lead-Lag; PD; PI; PID; Particle Swarm Optimization; Power System Stabilizer; 220kV Kerala Power System

Full Text:

PDF


References


A.R. Akkawi Muhamad Haj Ali, L.A. Lamont, L. El Chaar, Comparative Study between Various Controllers for Power System Stabilizer using Particle SwarmOptimization, IEEE transactions on power systems (2011).

P. Kundur, Power system stability and control (Toronto, Ontario:McGraw-Hill, 1994.)

Jalili, A., Shayanfar, H.A., Shayeghi, H., A robust decentralized TSFPI design as power system stabilizer, (2012) International Review of Electrical Engineering (IREE), 7 (2), pp. 4047-4054.

D M Lam, H.Yee, A study of frequency responses of generator electrical torques for power system stabilizer design, IEEE transactions on power systems, vol. 13, No. 3,August 1998.

Akbari, S., Amooshahi, M.K., Power system stabilizer design using evolutionary algorithms, (2009) International Review of Electrical Engineering, 4 (5), pp. 925-931.

A. S. Al-Hinai, S. M. Al-Hinai, Dynamic Stability Enhancement using Particle Swarm Optimization Power System Stabilizer, IEEE ,2009.

C. Raczkowski, Complex root compensator-A new concept fordynamic stability improvement, IEEE Trans. Power App.Syst.,vol. PAS-93, Nov/Dec. 1974 no. 1, pp. 1842–1848.

M. A. Abido, Optimal design of power system stabilizers using particleswarm optimization, IEEE Trans. on Energy Conversion. vol. 17, Sept. 2002, pp 406-413.

A.S. Al-Hinai and M. S. Al-Hinai, Dynamic Stability Enhancement using Particle Swarm Optimization Power System Stabilizer, IEEE, April 2011.

J. Kennedy, The particle swarm: Social adaptation of knowledge, Proc. IEEE Int. Conf. Evolutionary Comput., Indianapolis, 1997, pp. 303-308.


Refbacks

  • There are currently no refbacks.



Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2020 Praise Worthy Prize