Identification of Synchronous Generator Parameters Based on 3-Phase Sudden Short-Circuit Current

摘要：

A novel computation method for the identification of synchronous generator parameters based on simulated data of 3-phase sudden short-circuit current is described.The 3-phase sudden short-circuit current data is simulated by MATLAB.Considering optimization of multidimensional parameters and solution of nonlinear equations,the particle swarm optimization (PSO) algorithm and improved Euler method are employed.Since the identification process of direct axis parameters is identical with that of quadrature axis parameters for the cylindrical synchronous generator,only the direct axis parameters identification is given.The comparison between identified values and real values proves the correctness of the method.

关键词： Synchronous Generator:parameters identification 3-phase sudden short-circuit:particle swarm optimization

作者: Chaoxian HAN Xinzhen WU Ping MA

作者单位: Electrical Engineering Department Qingdao University Qingdao,China

会议类型: 国际会议

会议名称: 2011 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies(第四届电力设施管制、重建及能源技术国际会议 DRPT 2011)

会议地点: 威海

会议语种:英文

页码: 959-962

在线出版日期: 2011-07-06（万方平台首次上网日期，不代表论文的发表时间）