Design And Simulation Of The Nonlinear Excitation Controller Based On Energy Function

Power system is playing an important role in people's daily life and producing.The stability of the power system is the key of the power net's safe running.If destoyed.it would make large economic loss and disasterous result.The examples exist all over the world. With the continuous development of long distance translation system,completement of high voltage power net and continous additional running in power net of large volume generator team,it is the obvious problem that how to keep stable and safe running for power system.Synchronous generator's excitation system is playing an important part in terms of improving the stability and safety of the power system.Improving the control capability of excitation system is regarded as one of the most effective and economic methods.Power system is a complicated system that has strong nonlinear beha-viour,including much uncompleted dynamic model and uncertainty.When the system running point change,the dynamic character would make obvious change accordingly.Linear controller is hard to guarantee the power system's control inquirement.So, people pay more attention to the nonlinear control's application and research of the power system.The main content of the thesis is about the design of nonlinear excitation system controller based on energy theory.It is the first thing to explain the stability of power system and the influence which the excitation system work on the stability.On the basis of explaining Hamilton energy function theory and work out the mathematics model of the synchronous generator,it is time to create Hamilton energy function and design out the controlling law in terms of one generator-infinition system.Then,it is necessary to rectify the energy function in order that the stability area would be larger and the controlling quality would be better.The error of the linear controlling is controlled to some degree.At last,compare the simulink result of the controller designed by the method of energy function with the PID controller by using Matlab7.1/Simulink.