Sign in
Author

Conference

Journal

Organization

Year

DOI
Look for results that meet for the following criteria:
since
equal to
before
between
and
Search in all fields of study
Limit my searches in the following fields of study
Agriculture Science
Arts & Humanities
Biology
Chemistry
Computer Science
Economics & Business
Engineering
Environmental Sciences
Geosciences
Material Science
Mathematics
Medicine
Physics
Social Science
Multidisciplinary
Keywords
(13)
Artificial Neural Network
Indexation
Mathematical Model
Optimal Power Flow
Power Flow
Power System Stability
Reactive Power
Singular Value
System Modeling
System Security
Voltage Collapse
Voltage Stability
Neural Network
Subscribe
Academic
Publications
Neuralnetwork representation of Voltage Stability Indices at the voltage collapse
Neuralnetwork representation of Voltage Stability Indices at the voltage collapse,10.1109/NAPS.2011.6025165,Guilherme G. Lage,Ricardo A. S. Fernandes
Edit
Neuralnetwork representation of Voltage Stability Indices at the voltage collapse
BibTex

RIS

RefWorks
Download
Guilherme G. Lage
,
Ricardo A. S. Fernandes
,
Geraldo R. M. da Costa
Representing
system security
in
power flow
based system models by the scalar magnitude of a
Voltage Stability
Index (VSI) may be a very difficult task, which may even render the applicability of such models impractical. VSIs at
voltage collapse
points are difficult to predict when
reactive power
generation limits are taken into account in system modeling. Therefore, this paper proposes the determination of the Minimum
Singular Value
(MSV) and the Tangent Vector Norm (TVN) indices at the
voltage collapse
by means of Neural Networks (NN), being the latter a novel VSI based on the norm of the tangent vectors used in
voltage collapse
assessment. In order to determine
voltage collapse
points for different patterns of load and generation increase, an
Optimal Power Flow
(OPF) approach for solving the maximum loading problem was used. With these points, the MSV and TVN were calculated and used for training and testing the NNs. A small, but realistic, 6bus system was used for carrying out this study. Results have shown that NNs can be readily applied to representing some VSIs at the voltage collapse. This approach overcomes some difficulties encountered in problems that account for
system security
through these VSIs.
Conference:
North American Power Symposium, 2009  NAPS
, 2011
DOI:
10.1109/NAPS.2011.6025165
Cumulative
Annual
View Publication
The following links allow you to view full publications. These links are maintained by other sources not affiliated with Microsoft Academic Search.
(
ieeexplore.ieee.org
)
(
ieeexplore.ieee.org
)
References
(10)
Optimal power flows incorporating network stability
(
Citations: 2
)
William Rosehart
Conference:
Power Engineering Society, IEEE Winter Meeting  PESW
, 2002
Trends in the history of large blackouts in the United States
(
Citations: 7
)
Paul Hines
,
Jay Apt
,
Sarosh Talukdar
Conference:
Power Engineering Society, IEEE General Meeting  PES
, pp. 18, 2008
Fast calculation of a voltage stability index
(
Citations: 135
)
P. A. Loef
,
T. Smed
,
G. Andersson
,
D. J. Hill
Journal:
IEEE Transactions on Power Systems  IEEE TRANS POWER SYST
, vol. 7, no. 1, pp. 5464, 1992
New techniques to speed up voltage collapse computations using tangent vectors
(
Citations: 69
)
A. C. Z. de Souza
,
C. A. Canizares
,
V. H. Quintana
Journal:
IEEE Transactions on Power Systems  IEEE TRANS POWER SYST
, vol. 12, no. 3, pp. 13801387, 1997
The continuation power flow: a tool for steady state voltage stability analysis
(
Citations: 429
)
Venkataramana Ajjarapu
,
Colin Christy
Journal:
IEEE Transactions on Power Systems  IEEE TRANS POWER SYST
, vol. 7, no. 1, pp. 416423, 1992