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Artificial neural network for real time load flow calculation : application to a micro grid with wind generators
Joint Authors
Krichen, L.
Abd Allah, H. Hadj
Francois, B.
Source
Issue
Vol. 1, Issue 3 (30 Sep. 2005), pp.1-14, 14 p.
Publisher
Publication Date
2005-09-30
Country of Publication
Algeria
No. of Pages
14
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Topics
Abstract EN
This work presents a method for solving the problem of load flow in electric power systems including a wind power station with asynchronous generators.
For this type of power station, the generated active power is only known and consequently the absorbed reactive power must be determined.
So we have used the circular diagram at each iteration and by considering this node as a consuming node in the load flow program.
Since the wind speed is not constant, the generated power is neither constant.
To predict the state of the network in real time, we have used the artificial neural networks after a stage of training using a rich base of data.
American Psychological Association (APA)
Abd Allah, H. Hadj& Krichen, L.& Francois, B.. 2005. Artificial neural network for real time load flow calculation : application to a micro grid with wind generators. Journal of Electrical Systems،Vol. 1, no. 3, pp.1-14.
https://search.emarefa.net/detail/BIM-174260
Modern Language Association (MLA)
Abd Allah, H. Hadj…[et al.]. Artificial neural network for real time load flow calculation : application to a micro grid with wind generators. Journal of Electrical Systems Vol. 1, no. 3 (Sep. 2005), pp.1-14.
https://search.emarefa.net/detail/BIM-174260
American Medical Association (AMA)
Abd Allah, H. Hadj& Krichen, L.& Francois, B.. Artificial neural network for real time load flow calculation : application to a micro grid with wind generators. Journal of Electrical Systems. 2005. Vol. 1, no. 3, pp.1-14.
https://search.emarefa.net/detail/BIM-174260
Data Type
Journal Articles
Language
English
Notes
Includes appendix : p. 14
Record ID
BIM-174260