Research On Model Predictive Control Of Power System

With the rapid development of science and technology and social economy,China power system continues to expand the scale,the grid will become more and more complex,which makes the power system factor greatly increased and grid management will present modernization,complicated structure.Model of the power system is not only the key to power system analysis,power system is the future development pattern,planning blueprint,scheduling,the focus of the work,how fast and the changing trend of the accurate prediction of power system will become more and more important.Firstly,the model control technology in power system control,do the further discussion,model of control technology at home and abroad research status,and on the power system impact and a sense of purpose briefly describes analysis of the model predictive control system technology in power system encountered problems,and introduce the main content of this thesis.The basic theory of model control technique and the basic elements are described,and the control flow of the system are briefly described,the model of some nonlinear control technology was studied,especially analyzing the robustness of the model control technology that the classical algorithm and control strategy on robustness were reviewed.But,the robustness of the infinite system of system simulation,the results show that the robust predictive control technology is very strong,but also for the line voltage,current,active power and reactive power is very robust,in the system under conditions of uncertainty,the use of model control technology to the greatest degree of good optimization of the constrained problem,proved practical robust model predictive control strategy of technology.The according to the characteristics of electric power system,basic requirements and play the status quo given summary,some defects of the power system are described,the model predictive control technology was applied to the power system state,using neural network of model predictive control technique for further modification,the effect of achieve better and system in the future to achieve optimal performance,the simulation data of power system acquisition,as the inputs and outputs of the neural network,parameter variables of system for analysis and prediction,the operation of power system results of predict,which can reduce the energy consumption,utilization rate of increase of power system.On the power system of centralized model predictive control and distributed model predictive control,to ensure the system's stability,the main use of distributed model predictive control is used in the simulation of power system,based on the power system and the distributed model prediction control technology,highlights the distributed model predictive control technology of power system can be well coordinated response,for a big shock,large disturbance,were able to quickly restore stability,also shows that the distributed model predictive control technology can reduce the time for solving the problems of optimal control,reduce the amount of computation.