Model Reduction And Control Of Modular High Temperature Gas Cooled Reactor Nuclear Power Plant Based On Principle Model

New energy is an important means to solve the current energy exhaustion and environmental pollution dilemma Nuclear energy is well-developed and promising as a manner of new energy.High-temperature gas-cooled reactor-Pebble Bed module power plant(HTR-PM)is the fourth generation of nuclear power plant,which is intrinsically safe and has high combustion efficiency.HTR-PM has the features of nonlinear,large time delay,strong coupling and time-varying.In this paper,a series of studies have been carried out on the control and model reduction of the HTR-PM mechanism model.The main research work of this paper focuses on followings:1.Model reduction algorithm of linear and nonlinear system based on balanced truncation is analyzed.This algorithm is applied to the continuous stirred reactor CSTRs.The simulation suggests that there is no error between the balanced system and the original.The difference in dynamic characteristics results from balance truncation,which could be improved by changing weights in empirical gramians.2.A reduction algorithm for nonlinear differential algebraic equations is proposed.Firstly,the algebraic equations in the system are eliminated with the help of decomposition method and differential algebraic equations(DAEs)are transformed into ordinary differential equations(ODEs),then balanced truncation algorithm is applied to ODEs.The algorithm is applied to the reactor of HTR,in order to reduce the dimension of ODEs,an algorithm to simplify ODEs is proposed.Characteristics of the model are compared before and after reduction,the solution time is reduced to 30%of the original system and the dynamic characteristics are almost the same.3.Since the algebraic equations are far more than differential equations in the steam generator mechanism model of HTR-PM,an algorithm which is aiming at sparseness analysis of event matrix is put forward.Firstly decompose the mechanism model,divide the system into several subsystems and then simplify algebraic equations.Finally,the simulation results show that the solution time is reduced to 60%compared with original.4.A nonlinear control algorithm based on HTR-PM reduced-order mechanism model is constructed.Compared with the ideal NMPC controller,the accuracy of the algorithm is almost the same.When the load of reactor changes,the average solution time is reduced to 25%compared with the original system,and the average solution time of the NSSS system is reduced to 56.6%of the original system while the numerical stability is higher.Finally,this paper summarizes the research work and figures out the future work.