Analysis of the damping characteristics of two power electronics-based Devices using 'individual channel analysis and design'

Ugalde Loo, Carlos ORCID: https://orcid.org/0000-0001-6361-4454, Enrique, Acha and Eduardo, Liceaga-Castro 2018. Analysis of the damping characteristics of two power electronics-based Devices using 'individual channel analysis and design'. Applied Mathematical Modelling 59 , pp. 527-545. 10.1016/j.apm.2018.02.008

Preview

PDF - Published Version Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (2MB) | Preview

Abstract

A comparison of the capabilities of two quite distinct power electronics-based ‘flexible AC transmission systems’ devices is presented. In particular, the damping of low frequency electromechanical oscillations is investigated aiming at improving the performance of power systems. The comparison is made using frequency domain methods under the ‘individual channel analysis and design’ framework. A synchronous generator feeding into a system with large inertia is used for such a purpose. Two system configurations including compensation are analysed: (a) in series in the form of a thyristor-controlled series compensator, and (b) in shunt through a static VAr compensator featuring a damping controller. Analyses are carried out to elucidate the dynamic behaviour of the synchronous generator in the presence of the power electronics-based controllers and for the case when no controller is present. Performance and robustness assessments are given particular emphasis. The crux of the matter is the comparison between the abilities of the static VAr compensator and the thyristor-controlled series compensator to eliminate the problematic switch-back characteristic intrinsic to synchronous generator operation by using the physical insight afforded by ‘individual channel analysis and design’.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering
Publisher:	Elsevier
ISSN:	0307-904X
Date of First Compliant Deposit:	4 April 2018
Date of Acceptance:	13 February 2018
Last Modified:	10 May 2023 10:50
URI:	https://orca.cardiff.ac.uk/id/eprint/109383

Citation Data

Cited 8 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item