DESIGN OF GENETIC ALGORITHM (GA) BASED CONTROLLER FOR LOAD-FREQUENCY CONTROL OF POWER SYSTEMS INTER CONNECTED WITH AC-DC TIE-LINE

Abstract

In this paper the design of Genetic Algorithm (GA) based Proportional Integral (PI) controller is proposed using Mutual Aid Criterion (MAC) based technique. In this method the PI controller is constructed and tuned using MAC techniques. As the GA is a powerful optimum search technique, the salient advantage is that it is high insensitivity to large load changes and disturbances even in the presence of plant parameter variations and system nonlinearities under load following variations. The proposed method is simulated for a two-area power system for thermal power systems, interconnected with AC-DC tie-lines. Simulation results show that proposed GA controller is not only effective in damping out frequency oscillations, but also capable of alleviating the transient frequency swing caused by large disturbances. From the dynamic response it reveals that the two area reheat power system when interconnected with AC/DC tie-line ensures  better transient performance and faster settling time than that of the system with AC tie-line.