Optimization Study on the Operation of Bulb Turbine Generator Units
Bulb turbine is one of the main types of through turbine,and it performs well in the development of low head hydropower resources below 25 m.Compared with other turbine units,this unit has important advantages such as higher work efficiency and lower water consumption.However,in practical work situations,bulb turbine units have significant technical disadvantages in undertaking peak load regulation and scheduling in the power grid,and studying them has certain practical significance.This article first briefly elaborates on the characteristics of bulb through type hydroelectric generator sets by reviewing relevant literature.Secondly,in response to the shortcomings of conventional PID control effectiveness,an active disturbance rejection control based on RBF neural network was introduced to optimize it.Finally,through simulation analysis,it was found that the self disturbance rejection control based on RBF neural network can improve the comprehensive performance of the speed control system of the bulb through type hydroelectric generator set.
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