Tuning controller parameters and load frequency control of multi-area multi-source power system by Particle Swarm Optimization Technique

This article presents the setting of the controller parameters using particle swarm optimization (PSO) and its application to the load frequency control (LFC) of a power system from several sources that have different production sources as hydropower, thermal and gas power plants. A controller (PID) proportional integral derivative is used for tuning and analysis of the proposed model. The optimization of particle swarm algorithm (PSO) has been developed for the appropriate control settings for optimal performance. The superiority of the proposed approach was demonstrated by comparing the results with the optimum output feedback controller algorithm used for the same power systems. The comparison is made through various performance measures such as excess, time and standard error criteria of power frequency and tie-line after a disturbance step (SLP) load pertubation. Note that the dynamic performance of the proposed controller is improved by using PSO. Further-more, it also notes that the proposed system is robust and unaffected by the change of the charge state, the parameters of the system and the size of SLP.