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Optimal placement of multi-type FACTS devices in power systems using evolution strategies

In this paper, Evolution Strategies (ES) is used to find optimal placement of FACTS devices in power systems. The goal of optimization is to maximize the system loadability. Optimization is based on finding locations and settings of FACTS devices. Simulations are implemented on IEEE 30-bus test syst...

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Main Authors: Jordehi, Ahmad Rezaee, Joorabian, Mahmood
格式: Conference or Workshop Item
語言:English
出版: IEEE 2011
在線閱讀:http://psasir.upm.edu.my/id/eprint/45547/1/Optimal%20placement%20of%20multi-type%20FACTS%20devices%20in%20power%20systems%20using%20evolution%20strategies.pdf
http://psasir.upm.edu.my/id/eprint/45547/
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spelling my.upm.eprints.455472020-08-07T02:25:20Z http://psasir.upm.edu.my/id/eprint/45547/ Optimal placement of multi-type FACTS devices in power systems using evolution strategies Jordehi, Ahmad Rezaee Joorabian, Mahmood In this paper, Evolution Strategies (ES) is used to find optimal placement of FACTS devices in power systems. The goal of optimization is to maximize the system loadability. Optimization is based on finding locations and settings of FACTS devices. Simulations are implemented on IEEE 30-bus test system. From different types of FACTS devices, SVC, TCSC and UPFC are used in this research. The results show that using FACTS devices, the loadability of power system increases significantly. It also shows that there exists a maximum number of devices beyond which, the loadability of power system can not be increased. The implementation results of the method are promising and encouraging, so it is a good method for implementation on the FACTS optimization problem. IEEE 2011 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/45547/1/Optimal%20placement%20of%20multi-type%20FACTS%20devices%20in%20power%20systems%20using%20evolution%20strategies.pdf Jordehi, Ahmad Rezaee and Joorabian, Mahmood (2011) Optimal placement of multi-type FACTS devices in power systems using evolution strategies. In: 5th International Power Engineering and Optimization Conference (PEOCO2011), 6-7 June 2011, Shah Alam, Selangor, Malaysia. (pp. 352-357). 10.1109/PEOCO.2011.5970428
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description In this paper, Evolution Strategies (ES) is used to find optimal placement of FACTS devices in power systems. The goal of optimization is to maximize the system loadability. Optimization is based on finding locations and settings of FACTS devices. Simulations are implemented on IEEE 30-bus test system. From different types of FACTS devices, SVC, TCSC and UPFC are used in this research. The results show that using FACTS devices, the loadability of power system increases significantly. It also shows that there exists a maximum number of devices beyond which, the loadability of power system can not be increased. The implementation results of the method are promising and encouraging, so it is a good method for implementation on the FACTS optimization problem.
format Conference or Workshop Item
author Jordehi, Ahmad Rezaee
Joorabian, Mahmood
spellingShingle Jordehi, Ahmad Rezaee
Joorabian, Mahmood
Optimal placement of multi-type FACTS devices in power systems using evolution strategies
author_facet Jordehi, Ahmad Rezaee
Joorabian, Mahmood
author_sort Jordehi, Ahmad Rezaee
title Optimal placement of multi-type FACTS devices in power systems using evolution strategies
title_short Optimal placement of multi-type FACTS devices in power systems using evolution strategies
title_full Optimal placement of multi-type FACTS devices in power systems using evolution strategies
title_fullStr Optimal placement of multi-type FACTS devices in power systems using evolution strategies
title_full_unstemmed Optimal placement of multi-type FACTS devices in power systems using evolution strategies
title_sort optimal placement of multi-type facts devices in power systems using evolution strategies
publisher IEEE
publishDate 2011
url http://psasir.upm.edu.my/id/eprint/45547/1/Optimal%20placement%20of%20multi-type%20FACTS%20devices%20in%20power%20systems%20using%20evolution%20strategies.pdf
http://psasir.upm.edu.my/id/eprint/45547/
_version_ 1675328734097309696
score 13.251813

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