Study Of Intelligent Control For Synchronous Generator Excitation Control System

With the expansion of Power System scale, it becomes more and more important to keep Power System's reliability and stability, as well as super performance and dynamic quality. Synchronous generator excitation control system is an important part in power system operation. It is designed to reduce voltage pulsation, balance the distribution of inactive power, increase anti-interference and steady operation of the system. So the optimization of Synchronous generator excitation control system has decisive effect to overall power system and the new research has strong use value.On the base of aggregate analysis of present research works about Synchronous generator excitation control system, this paper proposed a new excitation regulation strategy using the combination of Fuzzy Logic Control,Neural Network and Genetic Algorithm. In this strategy, Fuzzy Logic and Neural Network are effective associated to make full use, and Genetic Algorithm is used to optimize the control parameters. After all of them, the controller is designed to the optimal act.Fuzzy Logic has some characteristics, such as independent of the mathematical model of research object, intensive robust, rapid response, simple structure, easy utility, and so on. The paper establish a Fuzzy Logic Intelligent Excitation Controller, generalize a PI Fuzzy Controller Stable which can reflect the operation of Generator Excitation Control System. The work increase the robust and response velocity of Generator Excitation Control System.Due to the strong nonlinear processing, associative memory and generalization characteristics of Artificial Neural Network, this paper designed a novel Fuzzy Neural Network (F-NN) Excitation Controller. The combinations of Fuzzy and Neural Network, not only keep all the functions of Fuzzy Logic, but also response the nonlinear characteristics of Excitation Control System. The novel Excitation Controller can perfectly reflect the dynamic adjustment of Excitation Control.In the development of F-NN Controller, the fuzzy parameters are decided in account of experience, which can not assure the optimal act of Controller. Genetic Algorithm can effective find the optimal solution in complex and multivariate circumstance. This paper proposed a new F-NN Excitation Controller using GA to optimize the fuzzy parameters. The novel controller, not only keep the characteristics of F-NN, also effectively solute the optimization of fuzzy parameters to assure the optimal act of controller.