Optimal placement of D-STATCOM using hybrid genetic and ant colony algorithm to losses reduction

In this work, a modern algorithm by hybrid genetic algorithm and ant colony algorithm is designed to placement and then simulated to determine the amount of reactive power by D-STATCOM. Also this method will be able to minimize the power system losses that contain power loss in transmission lines. F...

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Main Authors: Bagherinasab, Askar, Zadehbagheri, Mahmoud, Abdul Khalid, Saifulnizam, Gandomkar, Majid, Ahmad Azli, Naziha
Format: Article
Published: Institute of Advanced Engineering and Science 2013
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Online Access:http://eprints.utm.my/id/eprint/40953/
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Institution: Universiti Teknologi Malaysia
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spelling my.utm.409532017-08-22T08:08:51Z http://eprints.utm.my/id/eprint/40953/ Optimal placement of D-STATCOM using hybrid genetic and ant colony algorithm to losses reduction Bagherinasab, Askar Zadehbagheri, Mahmoud Abdul Khalid, Saifulnizam Gandomkar, Majid Ahmad Azli, Naziha TK Electrical engineering. Electronics Nuclear engineering In this work, a modern algorithm by hybrid genetic algorithm and ant colony algorithm is designed to placement and then simulated to determine the amount of reactive power by D-STATCOM. Also this method will be able to minimize the power system losses that contain power loss in transmission lines. Furthermore, in this design a IEEE 30-bus model depicted and three D-STATCOM are located in this system according to Economic Considerations. The optimal placement of each D-STATCOM is computed by the ant colony algorithm. In order to optimize placement for each D-STATCOM, two groups of ant are selected, which respectively located in near nest and far from the nest. Moreover, for every output simulation of D-STATCOM that is used to produce or absorb of reactive power, a genetic algorithm to minimizing the total network losses is applied. Finally, the result of this simulation shows net losses reduction about 150% that it verifies the new algorithm performance. Institute of Advanced Engineering and Science 2013 Article PeerReviewed Bagherinasab, Askar and Zadehbagheri, Mahmoud and Abdul Khalid, Saifulnizam and Gandomkar, Majid and Ahmad Azli, Naziha (2013) Optimal placement of D-STATCOM using hybrid genetic and ant colony algorithm to losses reduction. International Journal of Applied Power Engineering (IJAPE), 2 (2). pp. 47-64. ISSN 2252-8792
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Bagherinasab, Askar
Zadehbagheri, Mahmoud
Abdul Khalid, Saifulnizam
Gandomkar, Majid
Ahmad Azli, Naziha
Optimal placement of D-STATCOM using hybrid genetic and ant colony algorithm to losses reduction
description In this work, a modern algorithm by hybrid genetic algorithm and ant colony algorithm is designed to placement and then simulated to determine the amount of reactive power by D-STATCOM. Also this method will be able to minimize the power system losses that contain power loss in transmission lines. Furthermore, in this design a IEEE 30-bus model depicted and three D-STATCOM are located in this system according to Economic Considerations. The optimal placement of each D-STATCOM is computed by the ant colony algorithm. In order to optimize placement for each D-STATCOM, two groups of ant are selected, which respectively located in near nest and far from the nest. Moreover, for every output simulation of D-STATCOM that is used to produce or absorb of reactive power, a genetic algorithm to minimizing the total network losses is applied. Finally, the result of this simulation shows net losses reduction about 150% that it verifies the new algorithm performance.
format Article
author Bagherinasab, Askar
Zadehbagheri, Mahmoud
Abdul Khalid, Saifulnizam
Gandomkar, Majid
Ahmad Azli, Naziha
author_facet Bagherinasab, Askar
Zadehbagheri, Mahmoud
Abdul Khalid, Saifulnizam
Gandomkar, Majid
Ahmad Azli, Naziha
author_sort Bagherinasab, Askar
title Optimal placement of D-STATCOM using hybrid genetic and ant colony algorithm to losses reduction
title_short Optimal placement of D-STATCOM using hybrid genetic and ant colony algorithm to losses reduction
title_full Optimal placement of D-STATCOM using hybrid genetic and ant colony algorithm to losses reduction
title_fullStr Optimal placement of D-STATCOM using hybrid genetic and ant colony algorithm to losses reduction
title_full_unstemmed Optimal placement of D-STATCOM using hybrid genetic and ant colony algorithm to losses reduction
title_sort optimal placement of d-statcom using hybrid genetic and ant colony algorithm to losses reduction
publisher Institute of Advanced Engineering and Science
publishDate 2013
url http://eprints.utm.my/id/eprint/40953/
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