Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Fundamental analysis of the static VAr compensator performance using individual channel analysis and design

Ugalde Loo, Carlos Ernesto, Acha, Enrique, Liceaga-Castro, Eduardo and Liceaga Castro, Jesus U. 2008. Fundamental analysis of the static VAr compensator performance using individual channel analysis and design. International Journal of Emerging Electric Power Systems 9 (2) , 6. 10.2202/1553-779X.1830

Full text not available from this repository.

Abstract

In this paper the performance of a synchronous generator – SVC system is evaluated using Individual Channel Analysis and Design (ICAD), a control-oriented framework suitable for small-signal stability assessments. The SVC is already a mature piece of technology, which has become very popular for providing fast-acting reactive power support. The great benefits of ICAD in control system design tasks are elucidated. Fundamental analysis is carried out explaining the generator dynamic behavior as affected by the SVC. A multivariable control system design for the system is presented, with particular emphasis in the closed-loop performance and stability and structural robustness assessment. It is formally shown in the paper that although the addition of the SVC with no damping control loop does not improve the dynamic of the system, its inclusion is very effective in enhancing voltage stability. Moreover, ICAD analysis shows that with the use of the SVC the dynamical structure of the system is preserved and no considerable coupling or adverse dynamics are added to the plant.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Uncontrolled Keywords: Static VAr Compensator; synchronous generator; Individual Channel Analysis and Design; stability; robustness
Publisher: De Gruyter
ISSN: 1553-779X
Last Modified: 04 Jun 2017 04:10
URI: http://orca.cf.ac.uk/id/eprint/33790

Citation Data

Cited 8 times in Google Scholar. View in Google Scholar

Cited 6 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item