Research Article Open Access

Optimal Decentralized Load Frequency Control Using HPSO Algorithms in Deregulated Power Systems

Seyed Abbas Taher, Reza Hematti, Ali Abdolalipour and Seyed Hadi Tabei


Load Frequency Control (LFC) is one the most important issues in electrical power system design/operation and is becoming much more significant recently with increasing size, changing structure and complexity in interconnected power systems. In practice LFC systems use simple Proportional-Integral (PI) or Integral (I) controllers. However, since the PI or I control parameters are usually tuned based on classical or trial-and-error approaches, they are incapable of obtaining good dynamic performance for various load changes scenarios in multi-area power system. For this reason, in this study the PI and I control parameters are tuned based on Hybrid Particle Swarm Optimization (HPSO) algorithm method for LFC control in two-area power system. Because HPSO is an optimization method, therefore, in the uncertainty area of controller parameters, finds the best parameters for controller and obtained controller is an optimal controller. A two-area power system example is given to illustrate proposed methods. To show effectiveness of proposed method and compare the performance of optimized PI and I type controllers, several time-domain simulation for various load changes scenarios are presented. Simulation results emphasis on the better performance of optimized PI controller in compared to optimized I controller in LFC.

American Journal of Applied Sciences
Volume 5 No. 9, 2008, 1167-1174


Submitted On: 12 December 2007 Published On: 30 September 2008

How to Cite: Taher, S. A., Hematti, R., Abdolalipour, A. & Tabei, S. H. (2008). Optimal Decentralized Load Frequency Control Using HPSO Algorithms in Deregulated Power Systems . American Journal of Applied Sciences, 5(9), 1167-1174.

  • 42 Citations



  • Load Frequency Control (LFC)
  • Hybrid Particle Swarm Optimization (HPSO)
  • decentralized control
  • deregulated power systems