Research Of Methods And Applications Of The Identification Of Synchronous Generator Parameters Based On Angle Measurements

Valid synchronous generator parameters are crucial in the stability analysis and short-circuit calculation for a power system. In this thesis, the research on the synchronous generator parameter identification is based on the data of simulation results with MATLAB and RTDS. With the composite stability model as the research object, the following issues are included:(1) This thesis introduces two typical algorithms to the parameter identification for a synchronous machine, which are named as the artificial fish-swarm algorithm and the ant colony algorithm. The detailed identification steps are presented and furthermore, relevant simulation is also brought forth for the reliability and availability verification. According to the corresponding results, the two algorithms will both lead to good convergent outputs. Notwithstanding the similar performance resulting from the two algorithms the ant colony algorithm is more favorable, since generally the other one tends to involve more complexity and more parameters to be determined in the indentifying process;(2) Required methodology and procedure are recommended for captured data's processing;(3) The validity of the identification algorithms has been checked on RTDS;(4) Finally, the thesis analyzes the factors that may have effect on the identification accuracy. The disturbing strength and the type always impact on the accuracy. On the one hand, the greater the disturbing strength is, the higher precision might be achieved; On the other hand, the identification algorithm performs better if it is applied with a white noise excited model, which helps to activatet the subtransient state of synchronous machine. It is notable that the steady-state parameters do not...