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

American Journal of Applied Sciences

Seyed A. Taher¹  Ali Abdolalipour¹  Seyed H. Tabei¹  Reza Hematti¹ 

关键词: Load Frequency Control (LFC);    Hybrid Particle Swarm Optimization (HPSO);    decentralized control;    deregulated power systems;   

DOI  :  10.3844/ajassp.2008.1167.1174

学科分类：自然科学（综合）

来源: Science Publications

【 摘 要 】

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.

【 授权许可】

Unknown