The identification of speed regulation systems parameters for hydraulic turbogenerators

Abstract

In this paper, we begin research on primary frequency control in Ecuador, in the same way as has been done for many years for secondary control. We analyse primary frequency regulation, and the respective parameters of identification, made using the heuristic optimization method known as Particle Swarm Optimization. This is applied with the speed regulator of a hydraulic turbine-generator group, to recognize those parameters with a higher influence on the primary frequency response, during disturbances or events that alter the system frequency. To observe the frequency response, load shedding tests were simulated on a test system with 39 buses, and a hydraulic turbogenerator was also analysed. The latter had a speed controller and is a typical simulator model of the HYGOV type. The results we obtained indicate that the identification, by the particle swarm algorithm, was able to tune a controller to approximate its response to the one desired, regardless of the number of tuned parameters. We preferred this method over other heuristic algorithms because it is easily understood, and has better computational efficiency with multiple simultaneous variables.