Comparison of time-varying phasor and dq0 dynamic models for large transmission networks. (December 2017)

• Record Type: Journal Article
• Authors: Belikov, Juri; Levron, Yoash
• Is Part Of: International journal of electrical power & energy systems. Volume 93(2017)
• Page Start: 65
• Page End: 74
• Publication Date: 2017-12
• Subjects: Quasi-static -- Time-varying phasors -- Power flow equations -- DQ0 models; Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2017.05.017
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: This paper compares quasi-static and dq 0-based models for large-scale networks. The two models are described using similar terminology, based on dq 0 quantities. It is shown that quasi-static models are obtained from dq 0 models at low frequencies. There is a frequency range in which the quasi-static model approximates the dq 0 model. The obtained results allow to estimate the frequencies in which the quasi-static model is valid. Abstract: In recent years, with increasing penetration of small distributed generators and fast power electronics based devices, the assumption of quasi-static phasors is becoming increasingly inaccurate. In order to describe fast dynamic behavior and rapid amplitude and phase variations, more accurate dynamic models based on the dq 0 transformation are used. To better understand the differences between these two models, in this work we compare their relative accuracy when applied to large-scale transmission networks. In this light, the present work describes the two types of models using similar terminology, which is based on dq 0 quantities. Based on this result, we show that quasi-static models may be obtained from dq 0 models at low frequencies, and that there exists a frequency range in which quasi-static model approximates the dq 0 model well. The obtained results allow to estimate the frequency after which the quasi-static model cannot accurately describe the system dynamics, and dq 0 models should be used instead.