Analytical tools to assess the voltage stability of induction-based distributed generators

Grilo, A. P., Meira, P. C. M., Vieira, J. C. M., Freitas, W. and Bansal, R. C. (2012) Analytical tools to assess the voltage stability of induction-based distributed generators. International Journal of Electrical Power and Energy Systems, 36 1: 31-39.


Author Grilo, A. P.
Meira, P. C. M.
Vieira, J. C. M.
Freitas, W.
Bansal, R. C.
Title Analytical tools to assess the voltage stability of induction-based distributed generators
Journal name International Journal of Electrical Power and Energy Systems  (ERA 2012 Listed)    (ERA 2010 Rank C)   Check publisher's open access policy
Publication date 2012-03
Sub-type Article
Year available 2011
DOI 10.1016/j.ijepes.2011.10.020
Volume number 36
Issue number 1
ISSN 0142-0615; 1879-3517
Start page 31
End page 39
Total pages 9
Place of publication Oxford, United Kingdom
Publisher Elsevier
Collection year 2012
Language eng
Abstract The installation of induction distributed generators should be preceded by a careful study in order to determine if the point of common coupling is suitable for transmission of the generated power, keeping acceptable power quality and system stability. In this sense, this paper presents a simple analytical formulation that allows a fast and comprehensive evaluation of the maximum power delivered by the induction generator, without losing voltage stability. Moreover, this formulation can be used to identify voltage stability issues that limit the generator output power. All the formulation is developed by using the equivalent circuit of squirrel-cage induction machine. Simulation results are used to validate the method, which enables the approach to be used as a guide to reduce the simulation efforts necessary to assess the maximum output power and voltage stability of induction generators.
Keyword Embedded generation
Induction generator
Wind power
Maximum output power
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Available online 6 December 2011

Document type: Journal Article
Sub-type: Article
Collections: Official 2012 Collection
School of Information Technology and Electrical Engineering Publications
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 4 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 4 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Access Statistics: 23 Abstract Views  -  Detailed Statistics
Created: Tue, 20 Mar 2012, 12:24:27 EST by System User on behalf of School of Information Technol and Elec Engineering