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Wind farm reactive power optimization by using imperialist competitive algorithm

In this paper a new evolutionary computing method based on imperialist competitive algorithm (ICA) is used for optimization of the reactive power in a wind farm. The output power and also the reactive power of wind farms are not constant due to the oscillation in wind speed. Reactive power optimizat...

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Main Authors: Soheilirad, Mohammadsoroush, Hizam, Hashim, Farzan, Payam, Hojabri, Mojgan, Fallah, Seyedeh Narjes, Soheilirad, G.
Format: Conference or Workshop Item
Language:English
Published: IEEE 2013
Online Access:http://psasir.upm.edu.my/id/eprint/47760/1/Wind%20farm%20reactive%20power%20optimization%20by%20using%20imperialist%20competitive%20algorithm.pdf
http://psasir.upm.edu.my/id/eprint/47760/
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spelling my.upm.eprints.477602019-04-22T01:12:26Z http://psasir.upm.edu.my/id/eprint/47760/ Wind farm reactive power optimization by using imperialist competitive algorithm Soheilirad, Mohammadsoroush Hizam, Hashim Farzan, Payam Hojabri, Mojgan Fallah, Seyedeh Narjes Soheilirad, G. In this paper a new evolutionary computing method based on imperialist competitive algorithm (ICA) is used for optimization of the reactive power in a wind farm. The output power and also the reactive power of wind farms are not constant due to the oscillation in wind speed. Reactive power optimization is known as an efficient way to have an improvement in power quality and also to reduce power loss. The conventional optimization algorithms have some drawbacks, such as slow convergence and premature. ICA as one of the newest optimization algorithm could be applied in order to optimization of the reactive power and overcomes the difficulties which are coming from the traditional methods. In this paper, the reactive power consumption of a wind turbine is optimized by using (ICA) method. To illustrate the application of the method, a wind farm with some uncertainties is provided. Finally the results of the ICA method are compared with the one of conventional method. Results show that the proposed reactive power optimization method is simple and effective. IEEE 2013 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/47760/1/Wind%20farm%20reactive%20power%20optimization%20by%20using%20imperialist%20competitive%20algorithm.pdf Soheilirad, Mohammadsoroush and Hizam, Hashim and Farzan, Payam and Hojabri, Mojgan and Fallah, Seyedeh Narjes and Soheilirad, G. (2013) Wind farm reactive power optimization by using imperialist competitive algorithm. In: International Conference on Power, Energy and Control (ICPEC 2013), 6-8 Feb. 2013, Dindigul, Tamil Nadu, India. (pp. 393-398). 10.1109/ICPEC.2013.6527688
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 a new evolutionary computing method based on imperialist competitive algorithm (ICA) is used for optimization of the reactive power in a wind farm. The output power and also the reactive power of wind farms are not constant due to the oscillation in wind speed. Reactive power optimization is known as an efficient way to have an improvement in power quality and also to reduce power loss. The conventional optimization algorithms have some drawbacks, such as slow convergence and premature. ICA as one of the newest optimization algorithm could be applied in order to optimization of the reactive power and overcomes the difficulties which are coming from the traditional methods. In this paper, the reactive power consumption of a wind turbine is optimized by using (ICA) method. To illustrate the application of the method, a wind farm with some uncertainties is provided. Finally the results of the ICA method are compared with the one of conventional method. Results show that the proposed reactive power optimization method is simple and effective.
format Conference or Workshop Item
author Soheilirad, Mohammadsoroush
Hizam, Hashim
Farzan, Payam
Hojabri, Mojgan
Fallah, Seyedeh Narjes
Soheilirad, G.
spellingShingle Soheilirad, Mohammadsoroush
Hizam, Hashim
Farzan, Payam
Hojabri, Mojgan
Fallah, Seyedeh Narjes
Soheilirad, G.
Wind farm reactive power optimization by using imperialist competitive algorithm
author_facet Soheilirad, Mohammadsoroush
Hizam, Hashim
Farzan, Payam
Hojabri, Mojgan
Fallah, Seyedeh Narjes
Soheilirad, G.
author_sort Soheilirad, Mohammadsoroush
title Wind farm reactive power optimization by using imperialist competitive algorithm
title_short Wind farm reactive power optimization by using imperialist competitive algorithm
title_full Wind farm reactive power optimization by using imperialist competitive algorithm
title_fullStr Wind farm reactive power optimization by using imperialist competitive algorithm
title_full_unstemmed Wind farm reactive power optimization by using imperialist competitive algorithm
title_sort wind farm reactive power optimization by using imperialist competitive algorithm
publisher IEEE
publishDate 2013
url http://psasir.upm.edu.my/id/eprint/47760/1/Wind%20farm%20reactive%20power%20optimization%20by%20using%20imperialist%20competitive%20algorithm.pdf
http://psasir.upm.edu.my/id/eprint/47760/
_version_ 1643833974627237888
score 13.211869

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