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

Journal of Electrical Systems

Issue

Vol. 1, Issue 3 (30 Sep. 2005), pp.1-14, 14 p.

Publisher

Piercing Star House

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