Analysis On The Characteristics Of Hydraulic Turbine Governing System Based On Chaos Theory

The function of governor of hydraulic turbine plays a significant role in the quality of electricity and security in the operation of the hydraulic plants. Therefore, the research of the hydraulic turbine regulating system is one of the hot spots in the present research.First on the basis of analyzing the principle of hydraulic turbine governing system,the hydraulic turbine governing system is divided into four subsystems: water system,hydraulic turbine, generator and governor.According to the physical characteristics and the research object of the specific hydropower station, the model of the mixed flow turbine governing system is established for the four subsystemIn the optimization of the hydraulic turbine governing system, this paper introduces the chaos optimization theory for the application of genetic algorithm in the hydropower station and the premature convergence of the genetic algorithm itself.Through the comparison of the three commonly used chaotic maps, we can know that the search for the chaotic genetic algorithm based on Cat map is more uniform, and it is not easy to fall into the small loop, so we choose the Cat mapping to improve the genetic algorithm and through the test of the two commonly used test functions, it is proved that the chaotic genetic algorithm based on Cat mapping has a better performance.Finally in of the turbine regulating system are analyzed, curve in the boot, frequency disturbance and load rejection disturbance were compared using chaos genetic algorithm and conventional PID. Experimental results show that using chaos genetic algorithm to optimization of hydraulic turbine regulation system adjustment time is short, strong stability, small overshoot, reflecting the chaos genetic algorithm is superior to the performance.