Distribution system reconfiguration for loss reduction using genetic algorithm

Joint Authors

Subburaj, P.
Ramar, K.
Ganesan, L.
Venkatesh, P.

Source

Journal of Electrical Systems

Issue

Vol. 2, Issue 4 (31 Dec. 2006), pp.198-207, 10 p.

Publisher

Piercing Star House

Publication Date

2006-12-31

Country of Publication

Algeria

No. of Pages

10

Main Subjects

Civil Engineering

Topics

Abstract EN

Feeder reconfiguration is defined as altering the topological structures of distribution feeders by changing the open / closed states of the sectionalizing and tie switches.

In network reconfiguration for loss reduction, the solution involves a search over relevant radial configuration.

In this paper, a method, based on genetic algorithm (GA) to determine the minimum configuration is presented.

A genetic algorithm (GA) is a search or optimization algorithm based on the mechanics of natural selection and natural genetics.

Since GA is suitable to solve combinatorial optimization problems, it can be successfully applied to problems of loss minimization in distribution systems.

Test results are included to show the performance of the proposed method.

American Psychological Association (APA)

Subburaj, P.& Ramar, K.& Ganesan, L.& Venkatesh, P.. 2006. Distribution system reconfiguration for loss reduction using genetic algorithm. Journal of Electrical Systems،Vol. 2, no. 4, pp.198-207.
https://search.emarefa.net/detail/BIM-173400

Modern Language Association (MLA)

Subburaj, P.…[et al.]. Distribution system reconfiguration for loss reduction using genetic algorithm. Journal of Electrical Systems Vol. 2, no. 4 (Dec. 2006), pp.198-207.
https://search.emarefa.net/detail/BIM-173400

American Medical Association (AMA)

Subburaj, P.& Ramar, K.& Ganesan, L.& Venkatesh, P.. Distribution system reconfiguration for loss reduction using genetic algorithm. Journal of Electrical Systems. 2006. Vol. 2, no. 4, pp.198-207.
https://search.emarefa.net/detail/BIM-173400

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 205-206

Record ID

BIM-173400