Open AccessWeakest Bus Identification Based on Modal Analysis and Singular Value Decomposition Techniques
Author(s) -
Jalboub,
Rajamani,
Abd-Alhameed,
Ihbal
Publication year - 2011
Publication title -
iraqi journal for electrical and electronic engineering/al-maǧallaẗ al-ʻirāqiyyaẗ al-handasaẗ al-kahrabāʼiyyaẗ wa-al-ilikttrūniyyaẗ
Language(s) - English
Resource type - Journals
eISSN - 2078-6069
pISSN - 1814-5892
DOI - 10.37917/ijeee.7.2.12
Subject(s) - singular value decomposition , electric power system , modal , computer science , stability (learning theory) , decomposition , modal analysis , identification (biology) , voltage , control theory (sociology) , power (physics) , engineering , control (management) , algorithm , electrical engineering , artificial intelligence , ecology , chemistry , physics , botany , structural engineering , quantum mechanics , machine learning , finite element method , polymer chemistry , biology
Voltage instability problems in power system is an important issue that should be taken into consideration during the planning and operation stages of modern power system networks. The system operators always need to know when and where the voltage stability problem can occur in order to apply suitable action to avoid unexpected results. In this paper, a study has been conducted to identify the weakest bus in the power system based on multi-variable control, modal analysis, and Singular Value Decomposition (SVD) techniques for both static and dynamic voltage stability analysis. A typical IEEE 3-machine, 9-bus test power system is used to validate these techniques, for which the test results are presented and discussed.