Radial Basis Function Neural Network Application to Measurement and Control of Shunt Reactor Overvoltages Based on Analytical Rules
Joint Authors
Ketabi, Abbas
Sadeghkhani, Iman
Feuillet, Rene
Source
Mathematical Problems in Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-09-13
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
This paper presents an artificial intelligence application to measure switching overvoltages caused by shunt reactor energization by applying analytical rules.
In a small power system that appears in an early stage of a black start of a power system, an overvoltage could be caused by core saturation on the energization of a reactor with residual flux.
A radial basis function (RBF) neural network has been used to estimate the overvoltages due to reactor energization.
Equivalent circuit parameters of network have been used as artificial neural network (ANN) inputs; thus, RBF neural network is applicable to every studied system.
The developed ANN is trained with the worst case of the switching angle and remanent flux and tested for typical cases.
The simulated resultsfor a partial of 39-bus New England test system show that the proposed technique can measure the peak values and duration of switching overvoltages with good accuracy.
American Psychological Association (APA)
Sadeghkhani, Iman& Ketabi, Abbas& Feuillet, Rene. 2012. Radial Basis Function Neural Network Application to Measurement and Control of Shunt Reactor Overvoltages Based on Analytical Rules. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-14.
https://search.emarefa.net/detail/BIM-1029692
Modern Language Association (MLA)
Sadeghkhani, Iman…[et al.]. Radial Basis Function Neural Network Application to Measurement and Control of Shunt Reactor Overvoltages Based on Analytical Rules. Mathematical Problems in Engineering No. 2012 (2012), pp.1-14.
https://search.emarefa.net/detail/BIM-1029692
American Medical Association (AMA)
Sadeghkhani, Iman& Ketabi, Abbas& Feuillet, Rene. Radial Basis Function Neural Network Application to Measurement and Control of Shunt Reactor Overvoltages Based on Analytical Rules. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-14.
https://search.emarefa.net/detail/BIM-1029692
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1029692