Optimal network reconfiguration following hourly variations of load demand and wind generation

Joint Authors

Salami, Raidah
Bouktir, Tarek
Bin Halimah, Nailah
Khunaysi, Ayman
Neji, Rafik

Source

Journal of Electrical Systems

Issue

Vol. 16, Issue 1 (31 Mar. 2020), pp.131-174, 44 p.

Publisher

Piercing Star House

Publication Date

2020-03-31

Country of Publication

Algeria

No. of Pages

44

Main Subjects

Science

Abstract EN

As wind power and load characteristic of the distribution system varies over time, the network topology also changes from one hour to another.

The methodology addressed in this study consists of alternating distribution network switches following hourly variation in load consumption and wind power output, two scenarios are investigated, in order to obtain an optimal reconfiguration of the distribution system with the aim of both reduce power losses and improve the voltage profile.

To deal with, an improved PSO methodology coupled with MATPOWER toolbox was applied on the IEEE 33-bus radial distribution network and the obtained results show the effectiveness of reconfiguration procedure for enhancing the test system performance.-

American Psychological Association (APA)

Salami, Raidah& Bin Halimah, Nailah& Khunaysi, Ayman& Bouktir, Tarek& Neji, Rafik. 2020. Optimal network reconfiguration following hourly variations of load demand and wind generation. Journal of Electrical Systems،Vol. 16, no. 1, pp.131-174.
https://search.emarefa.net/detail/BIM-1020830

Modern Language Association (MLA)

Neji, Rafik…[et al.]. Optimal network reconfiguration following hourly variations of load demand and wind generation. Journal of Electrical Systems Vol. 16, no. 1 (2020), pp.131-174.
https://search.emarefa.net/detail/BIM-1020830

American Medical Association (AMA)

Salami, Raidah& Bin Halimah, Nailah& Khunaysi, Ayman& Bouktir, Tarek& Neji, Rafik. Optimal network reconfiguration following hourly variations of load demand and wind generation. Journal of Electrical Systems. 2020. Vol. 16, no. 1, pp.131-174.
https://search.emarefa.net/detail/BIM-1020830

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 146-147

Record ID

BIM-1020830