Optimal Location and Sizing of UPQC in Distribution Networks Using Differential Evolution Algorithm

Joint Authors

Afsari, Seyed Ahmadreza
Taher, Seyed Abbas

Source

Mathematical Problems in Engineering

Issue

Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-20, 20 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2012-08-30

Country of Publication

Egypt

No. of Pages

20

Main Subjects

Civil Engineering

Abstract EN

Differential evolution (DE) algorithm is used to determine optimal location of unified power quality conditioner (UPQC) considering its size in the radial distribution systems.

The problem is formulated to find the optimum location of UPQC based on an objective function (OF) defined for improving of voltage and current profiles, reducing power loss and minimizing the investment costs considering the OF's weighting factors.

Hence, a steady-state model of UPQC is derived to set in forward/backward sweep load flow.

Studies are performed on two IEEE 33-bus and 69-bus standard distribution networks.

Accuracy was evaluated by reapplying the procedures using both genetic (GA) and immune algorithms (IA).

Comparative results indicate that DE is capable of offering a nearer global optimal in minimizing the OF and reaching all the desired conditions than GA and IA.

American Psychological Association (APA)

Taher, Seyed Abbas& Afsari, Seyed Ahmadreza. 2012. Optimal Location and Sizing of UPQC in Distribution Networks Using Differential Evolution Algorithm. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-20.
https://search.emarefa.net/detail/BIM-1029787

Modern Language Association (MLA)

Taher, Seyed Abbas& Afsari, Seyed Ahmadreza. Optimal Location and Sizing of UPQC in Distribution Networks Using Differential Evolution Algorithm. Mathematical Problems in Engineering No. 2012 (2012), pp.1-20.
https://search.emarefa.net/detail/BIM-1029787

American Medical Association (AMA)

Taher, Seyed Abbas& Afsari, Seyed Ahmadreza. Optimal Location and Sizing of UPQC in Distribution Networks Using Differential Evolution Algorithm. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-20.
https://search.emarefa.net/detail/BIM-1029787

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1029787