Studies On Modeling For 600MW Generator Excitation And Governing Systems Of Fujian Power System

With the rapidly development of the Fujian electrical network, especially the tie line power exchanging with the East China electrical network, the mode and status of power system operation become more complex. As the primary control system of generator unit, the excitation and governing systems have a great influence on the dynamic behavior of the power system and its electromagnetism transient behavior. It is important to establish precise and effective excitation and governing system model. It is powerful meaning to implement the security and economical operation analysis for Fujian power system. This thesis makes a study on modeling and parameter identification for 600MW thermal power unit's excitation and governing system of Fujian power system, and applies this study result to Fujian power system security and economy eoperation analysis. The main issues of this thesis are as follows: Much deep study is done on modeling and parameters identification of 600MW thermal power unit's excitation system. The practical models and parameters can be obtained by test and parameter identification, further, the parameters according to IEEE format can be obtained by adjusting the model parameter with genetic algorithm, which solves the problem that practical models and parameters can not be used by BPA. Based on the modeling and idenfication of excitation system, modeling and identification of Fujian power system 600MW thermal power unit's governing system is also been done. They are modeling, parameter analysis, site test, practical parameter identification and so forth. A new method based on genetic algorithm is adopted for identifying the excitation system parameters, the parameter satisfying identification error request can be obtained by adjusting the model parameter with genetic algorithm. The parameters of nonlinear system can be identified validly by this method. The models and parameters, which were obtained by the identification with genetic algorithm, were validated detailedly by using different simulation system, such as PSS/E,RTDS and so forth. Base on the application of this study, it advanced the model databank and simulation analysis of Fujian power system.