Open AccessV–Q sensitivity‐based index for assessment of dynamic voltage stability of power systems
Author(s) -
Konar Srayashi,
Chatterjee Dheeman,
Patra Sourav
Publication year - 2015
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2014.0710
Subject(s) - control theory (sociology) , electric power system , sensitivity (control systems) , perturbation (astronomy) , index (typography) , voltage , margin (machine learning) , computer science , instability , stability (learning theory) , power (physics) , engineering , electronic engineering , physics , control (management) , electrical engineering , quantum mechanics , artificial intelligence , machine learning , world wide web , mechanics
A large signal voltage stability index is proposed in this study. Although the study focuses on a wind farm connected system, the index can predict instability of any power system. The index gives an idea about the stability margin of the power system under a given operating condition and can be used to predict emergency situations following a large disturbance such as line outage. The proposed index can be used effectively for systems with static as well as dynamic loads. The proposed index is verified in standard test systems. Matrix perturbation theory is used to verify the viability of the index.