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Performance of SMES unit on artificial neural network based multi-are AGC scheme
Joint Authors
Gupta, H. O.
Bhongade, Sandeep
Tyagi, Barjeev
Source
Issue
Vol. 7, Issue 2 (30 Jun. 2011), pp.179-192, 14 p.
Publisher
Publication Date
2011-06-30
Country of Publication
Algeria
No. of Pages
14
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Topics
Abstract EN
This work investigates the performance of Superconducting Magnetic Energy Storage (SMES) unit on Artificial Neural Network (ANN) based multi-area AGC scheme.
SMES units have been used to the power systems to inject or absorb active power.
A three layer feed forward neural network (NN) is proposed for controller design and trained with Back propagation algorithm (BPA).
The pools based transaction can be implemented by optimizing the bids (price & capacity) submitted by the generating companies (Genoas) and distribution companies (Discos).
The functioning of the proposed ANN based controller has been demonstrated on a two-area system.
American Psychological Association (APA)
Bhongade, Sandeep& Gupta, H. O.& Tyagi, Barjeev. 2011. Performance of SMES unit on artificial neural network based multi-are AGC scheme. Journal of Electrical Systems،Vol. 7, no. 2, pp.179-192.
https://search.emarefa.net/detail/BIM-291082
Modern Language Association (MLA)
Bhongade, Sandeep…[et al.]. Performance of SMES unit on artificial neural network based multi-are AGC scheme. Journal of Electrical Systems Vol. 7, no. 2 (Jun. 2011), pp.179-192.
https://search.emarefa.net/detail/BIM-291082
American Medical Association (AMA)
Bhongade, Sandeep& Gupta, H. O.& Tyagi, Barjeev. Performance of SMES unit on artificial neural network based multi-are AGC scheme. Journal of Electrical Systems. 2011. Vol. 7, no. 2, pp.179-192.
https://search.emarefa.net/detail/BIM-291082
Data Type
Journal Articles
Language
English
Notes
Includes appendix : p. 192
Record ID
BIM-291082