摘要
本文提出了一种新的同步发电机动态参数辩识算法——解耦辨识算法。该算法的优点是不需要知道外部其它机组的任何信息,而完全依靠待辨系统的在线量测信息进行参数估计即可考虑外部系统对辨识系统的耦合作用和影响。仿真结果表明,无论外部系统从一个无穷大母线变化到一个电压和频率都变化的未知系统,该算法都具有好的收敛性质并能快速地给出准确的参数估值。这种新算法在一定程度上较好地解决了同步发电机参数辨识研究领域尚未解决的解耦辨识问题。
A new method to identify the parameters of the synchronous machine-decoupled algorithm of the parameter identification is developed in this paper. The great advantage of this estimation approach is that no information of external machines is required. By on-line measuring the information of the interested system, the parameters of the generator can be estimated and the influence of the external system on the generator to be identified is considered.Therefore a continuous identification algorithm of the corrected Extended Kalman Filter is utilised. The simulation shows that the new algorithm has a good covergence and always gives the accurate parameter estimates with fast computation speed even if the external power system varies fm an infinite orbus to an unknown electric power system with changing voltage and frequency.
