@article {10.3844/ajassp.2008.1167.1174, article_type = {journal}, title = {Optimal Decentralized Load Frequency Control Using HPSO Algorithms in Deregulated Power Systems }, author = {Taher, Seyed Abbas and Hematti, Reza and Abdolalipour, Ali and Tabei, Seyed Hadi}, volume = {5}, year = {2008}, month = {Sep}, pages = {1167-1174}, doi = {10.3844/ajassp.2008.1167.1174}, url = {https://thescipub.com/abstract/ajassp.2008.1167.1174}, abstract = {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.}, journal = {American Journal of Applied Sciences}, publisher = {Science Publications} }