Optimal Control Of Bulb Tubular Turbine Generator

Because of its remarkable advantages in developing low head resources and tidal energy,bulb tubular turbine will gradually occupy a larger proportion in the process of further developing clean energy in the future.At the same time,with the establishment of national power energy network and higher requirements for power quality,there will be more strict and new standards for the control of bulb tubular turbine.Due to its small mass,compact structure,small moment of inertia and relatively large variation of working conditions,bulb tubular units are more prone to oscillation in the control process of large water head variation and frequent dispatching of power grid,which has great damage to the economy and safety of units.This has new requirements and standards for the control operation of bulb tubular unit.Now more mature intelligent algorithm system and faster and more stable chip also provide the basis for the new control strategy.This paper first introduces the development status of bulb tubular unit,analyzes its advantages and particularity.This paper analyzes the regulating system of bulb tubular unit,divides it into several subsystems for research,establishes models according to the characteristics of each subsystem,and finally establishes a simplified linear model near the rated operating point of bulb tubular unit,and makes simulation analysis with MATLAB.Then,the traditional PID control is analyzed,and the shortcomings of PID control in the speed control system of bulb tubular unit are found.Aiming at the characteristics of PID control,such as large overshoot when the load changes and unsatisfactory control effect under disturbance,this paper optimizes and improves the speed control system of bulb tubular unit combined with active disturbance rejection control,and introduces the principle of active disturbance rejection control,The differential evolution algorithm is used to optimize various control parameters of ADRC.In addition,the neural network’s excellent nonlinear fitting characteristics are proposed to relieve the pressure of the extended observer in ADRC,so as to improve the control effect of ADRC.Finally,combined with the actual unit parameters,the simulation is carried out,and the active disturbance rejection control based on RBF neural network is used to control the speed control system of bulb tubular unit.Compared with PID controller,it is found that the improved controller has improved both overshoot and response time,which proves that the method has the value of further research and application.