The Study Of The Parameter Identification And Control Strategy Of Hydrogenerator And Its Governor

Hydropower is a clean energy,almost pollution-free environment,Under the promotion of China’s sustainable development strategy,the advantages of hydropower are even more prominent under the climate of environrmental protection.In recent years,the state has vigorously developed hydropower projects and many large hydropower stations have been put into operation because of the abundant resources of China’s water resources.As an important part of power system,hydropower bear the problems of peak load and frequency.、spinning reserve.、emergency reserve.、load adjustment and so on,therefore,to model the refinement of the turbine for the safe operation of the turbine control rule optimization as well as the analysis of the accident is of great importance.The hydraulic turbine regulating system makes it in the process of modeling,whether from the construction of the model,and parameter identification become extremely difficult,in order to ensure safe and reliable operation of the power grid,and improving the quality of hydro turbine regulating,turbine model parameter identification for the fine modeling and governor of research has become the current urgent problem.This article around the elaborating problem such as modeling,parameter identification of hydraulic turbine in combination with the practical running characteristic of hydroelectric units,conduct the thorough research to the modeling of turbine engine and its control.The main research contents and innovative results are as follows:(1)Study existing turbine model,analysis and sunmming up the advantages and disadvantages of all kinds of model and its scope of application,in the part of the water diversion system is hydraulic loss to more accurately identify parameters,based on the IEEE Working Group turbine water diversion system is put forward by the approximation of valve structure model,put forward considering water body fine hydraulic loss of the water turbine model.For its complex models of mechanism structure,hydraulic loss function by black-box identification and curve fitting method,set up fine hydraulic loss function model.(2)Due to the turbine itself nonlinear link,set up mathematical model for water turbine governing system need the accurate identification of parameters in the turbine Aiming at parameter identification result credibility in turbine unit,introduces the ideas of set theory to estimate,points out that the model can be used to make clear the relation between true state and identification results,using the prior knowledge of a system of data,identify discrete points,to promote the credibility of the estimated resu’lt,according to the characteristic of lack of water turbine reliability model in traditional Bpa,set up the second order axial flow kaplan turbine model,to ensure the applicability of the model and the reliability of the parameter identification results.(3)Turbine in the case of load changes,the turbine output power to constantly adjust,in order to solve with the different working conditions,the parameters of the P1D controller is to constantly adjust the problem,based on the analysis of the basic form of PID controller and its extended model,BP neural network is introduced to setting the PID parameter,at the same time in order to solve the slow convergence precision of BP neural network algorithm itself exists some problems,the piecewise control strategy is put forward,segmenting the BP neural network for control of the proposed method can effectively solve the PID controller in many faults working condition running state is not stable,etc.(4)Analysis the advantages and disadvantages of the particle swarm algorithm,aim at the convergence of particle swarm optimization easy to fall into local the master problem,by introducing the adaptive factors and variable parameters,the accuracy of parameter identification results is improved.