Research on the Identification of Dominant Dynamic Parameters of Power System

In power system transient study, the imprecision of model parameters will result in large discrepancies between simulations and real measurements, and thus greatly resitrict online applications of transient simulations. For many years, much progress has been achieved in dynamic parameter identification based on site trials. However, there is still a long way ahead to meet the high-precision requirments of practical engineering. Online dynamic parameter identification based on field dynamic measuerments may be one solution. In this paper, a systematic algorithm for dominant parameter identification based on PMU/WAMS is proposed and studied from the view of developing online transient simulation, stabiity predication and security. Our reseach shows that by using Volterra Model and pattern classification/recognition techniques, the dominant parameters can be identified online very quickly with only a few measurements The proposed algorithm overvomes the disadvantage of the existing identification algorithms, i.e., requirement of abundant measurements and high calculating burden. The method has laid a foundation for realizing online identification, simulation and assessment, and moreover, real-time control. Case studies have been conducted on the EPRI-36 power system and a provincial system. The results have verified the effectiveness of the proposed method.