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   Check publisher's open access policy
ISSN 0142-0615
1879-3517
Publication date 2012-03
Year available 2011
Sub-type Article (original research)
DOI 10.1016/j.ijepes.2011.10.020
Volume 36
Issue 1
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 (original research)
Collections: Official 2012 Collection
School of Information Technology and Electrical Engineering Publications
 
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