document: A genetic approach to the optimization of automatic generation control parameters for power systems This paper presents a method based on genetic algorithm for the automatic generation control of power systems . The technique is applied to control a system , which includes two areas tied together through a power line . As a consequence of continuous load variation , the frequency of the power system changes with time . In conventional studies , frequency transients are minimized by using integral controllers and thus zero steady-state error is obtained . In this paper , integral controller gains and frequency bias factors are determined by using the genetic algorithm . The results of simulation reveal the application of the genetic algorithm having easy implementation to find the global optimum values of the control parameters
doc_bio_tags: O O O O O O O O O O O O O O O O O O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O O O B I O O O O O B I I O O O O O O O O O O O O O O O B I O O O O O O O O O O O O O O O O O O B I I O B I I O O O O O B I O O O O O O O O O O B I O O O O O O O O O O O O O
extractive_keyphrases: genetic algorithm power line continuous load variation frequency transients integral controller gains frequency bias factors
abstractive_keyphrases: power systems automatic generation control parameters optimization control design interconnected power networks control simulation