Research On Excitation Control Method Of Power System

Excitation controller can not only enhance the transient stability, but also stabilize the terminal voltage of power system. Power system is a nonlinear dynamic one, the controller designed by using the literalized model at a certain equilibrium state of the system may be not effective while the state point of the power system is changed, away from the equilibrium point at which the linearization is realized . Based on the theory of nonlinear control of the excitation controller design undoubtedly of great theoretical and practical significance to improve performance and enhance the efficiency of control accuracy of control system.with the aid of the differential geometrical theory, this paper describes the global method of the system. This paper designs a non-linear optimal excitation controller with the help of Exact Feedback Linearization based on differential geometry and optimal control theory. For the introduction of terminal voltage feedback of generator, the result of controller is capable of enhancing the transient stability and stabilizing the terminal voltage. Matlab/Simulink shows its effectiveness. This paper has some research in PID and linear optimal control theories. A Relatively good performance excitation controller design is proposed based on PID(Proportional Integral Derivative) control ,linear optimal control and fuzzy control theory. This controller consider the PID(Proportional Integral Derivative) controller which keeps excellent features for voltage regulation as the primary controller and adds a linear optimal controller in excitation regulation. Their weights of the two controllers are dynamically coordinated by a fuzzy controller. Simulations show that, in different operating conditions, the controller can dynamically coordinate voltage precision and system stability.Finally, the design of the two controllers was compared. From the actual results of the controllers, the two can meet control accuracy and reliability requirements. In the circumstances of static small disturbance, the non-linear voltage feedback optimal controller and fuzzy controller have their advantages in control effects. In the large disturbance in the transient, Fuzzy controller is superior than the non-linear voltage feedback optimal controller in a stable time,overshoot and the limit time of stability. In overall performance, fuzzy controller is superior to the non-linear voltage feedback optimal excitation controller.