Application of Varying Population Size Particle Swarm Optimization Algorithm to AGC of Power Systems

An effective method of making tradeoff between the optimize precision and optimize speed for load frequency control in the automatic generation control, which can improve the calculating process of particle swarm algorithm is presented in this paper. This method which is suit for the case that the object to be optimized is complicate can be used to accelerate optimizing process and save calculate time but not influence precision due to the fact that particle swarm optimization algorithm is not sensitive to the number of particles. The method of optimizing PI controller coefficient using promoted particle swarm algorithm which is used to meet the different performance need in single-area and two-area interconnected power system is proposed respectively. The simulation result shows that the performance is better than the PI controller optimized by genetic algorithm