Optimal Location and Sizing of UPQC in Distribution Networks Using Differential Evolution Algorithm
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...
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2012-01-01
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2012/838629 |
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doaj-01b3179128f34a3ea7d4595048dad4ac2020-11-25T00:11:24ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472012-01-01201210.1155/2012/838629838629Optimal Location and Sizing of UPQC in Distribution Networks Using Differential Evolution AlgorithmSeyed Abbas Taher0Seyed Ahmadreza Afsari1Department of Electrical Engineering, Faculty of Engineering, University of Kashan, Kashan 87317-51167, IranDepartment of Electrical Engineering, Faculty of Engineering, University of Kashan, Kashan 87317-51167, IranDifferential 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.http://dx.doi.org/10.1155/2012/838629 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Seyed Abbas Taher Seyed Ahmadreza Afsari |
spellingShingle |
Seyed Abbas Taher Seyed Ahmadreza Afsari Optimal Location and Sizing of UPQC in Distribution Networks Using Differential Evolution Algorithm Mathematical Problems in Engineering |
author_facet |
Seyed Abbas Taher Seyed Ahmadreza Afsari |
author_sort |
Seyed Abbas Taher |
title |
Optimal Location and Sizing of UPQC in Distribution Networks Using Differential Evolution Algorithm |
title_short |
Optimal Location and Sizing of UPQC in Distribution Networks Using Differential Evolution Algorithm |
title_full |
Optimal Location and Sizing of UPQC in Distribution Networks Using Differential Evolution Algorithm |
title_fullStr |
Optimal Location and Sizing of UPQC in Distribution Networks Using Differential Evolution Algorithm |
title_full_unstemmed |
Optimal Location and Sizing of UPQC in Distribution Networks Using Differential Evolution Algorithm |
title_sort |
optimal location and sizing of upqc in distribution networks using differential evolution algorithm |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2012-01-01 |
description |
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. |
url |
http://dx.doi.org/10.1155/2012/838629 |
work_keys_str_mv |
AT seyedabbastaher optimallocationandsizingofupqcindistributionnetworksusingdifferentialevolutionalgorithm AT seyedahmadrezaafsari optimallocationandsizingofupqcindistributionnetworksusingdifferentialevolutionalgorithm |
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