Parameter Identification of Synchronous Generator by Using Ant Colony Optimization Algorithm

摘要：

Aiming at the problems of parameter identification of synchronous generator, which needs long time and is easy to get into the local optimization, ant colony optimization (ACO) for parameter identification of synchronous generator in continuous space is proposed. When the problem is defined using ACO algorithm, it combines the advantage of rapidness and global optimization. Simulation results show that it is very effective. An experiment is carried out by the simulative generator whose type is MF-15. A step is added to the field system. And based on the transient behavior of the machine, the electrical parameters are identified by using the method proposed in the paper. Experimental results show that ACO is fit for continuous optimization of synchronous generator, and the method is valid and feasible.

作者: Lixia SUN Ping QU Qixin HUANG Ping JU

作者单位: Hohai University, China Guodian Nanjing Automation Company Limited, China

会议类型: 国际会议

会议名称: 2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)

会议地点: 哈尔滨

会议语种:英文

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）