As clean energy,hydropower is widely used in China.The construction period of the small-scale hydropower station is short.Such projects have received strong support from the country,and they are mostly distributed in high mountains and remote areas.The generator excitation control is an essential part of the generator control system.This paper mainly studies the excitation control and the implementation method of small hydro-generators.Using Simulink in Matlab to establish both a linear and a nonlinear excitation modulating system simulation models.It is difficult to apply the conventional PID control to a nonlinear time-varying system because parameter setting remains complicated.In order to improve the control performance,this paper proposes a fuzzy PID excitation control algorithm based on particle swarm optimization.The Particle swarm optimization algorithm is used to optimize initial PID parameters,and fuzzy control is used to optimize PID increment.The simulation results show that the algorithm has good adaptability and robustness,and it can meet the control requirements for the nonlinear,time-varying complex speed control system of hydraulic turbines.Based on the algorithm model proposed in this paper and on the requirements of the hydro-turbine excitation system,the overall scheme design of the hydro-generator excitation system was completed.Both the circuit and the program design were completed using the stm32 single-chip microcomputer,and the ModBus protocol was transplanted in the program.The experimental results show that the system can effectively realize the excitation control of the hydro-generating unit,can effectively operate in the accident,can meet the requirements of the power system,and can provide high-quality electrical energy.The derived system also reduced operating costs,improved the automation of both the operation and the management of hydropower plants thereby having achieved satisfactory results. |