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 optimiz...

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Main Authors: Soheilirad, M., Hizam, H., Farzan, P., Hojabri, Mojgan, Fallah, S. N., Soheilirad, G.
Format: Conference or Workshop Item
Language:English
Published: 2013
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/5927/
http://umpir.ump.edu.my/id/eprint/5927/
http://umpir.ump.edu.my/id/eprint/5927/1/Wind_Farm_Reactive_Power_Optimization_by_Using.pdf
id ump-5927
recordtype eprints
spelling ump-59272018-01-09T06:43:36Z http://umpir.ump.edu.my/id/eprint/5927/ Wind Farm Reactive Power Optimization by Using Imperialist Competitive Algorithm Soheilirad, M. Hizam, H. Farzan, P. Hojabri, Mojgan Fallah, S. N. Soheilirad, G. TK Electrical engineering. Electronics Nuclear engineering 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. 2013 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/5927/1/Wind_Farm_Reactive_Power_Optimization_by_Using.pdf Soheilirad, M. and Hizam, H. and Farzan, P. and Hojabri, Mojgan and Fallah, S. N. and Soheilirad, G. (2013) Wind Farm Reactive Power Optimization by Using Imperialist Competitive Algorithm. In: 2013 International Conference on Power, Energy and Control (ICPEC) . . http://dx.doi.org/10.1109/ICPEC.2013.6527688
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Soheilirad, M.
Hizam, H.
Farzan, P.
Hojabri, Mojgan
Fallah, S. N.
Soheilirad, G.
Wind Farm Reactive Power Optimization by Using Imperialist Competitive Algorithm
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, M.
Hizam, H.
Farzan, P.
Hojabri, Mojgan
Fallah, S. N.
Soheilirad, G.
author_facet Soheilirad, M.
Hizam, H.
Farzan, P.
Hojabri, Mojgan
Fallah, S. N.
Soheilirad, G.
author_sort Soheilirad, M.
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
publishDate 2013
url http://umpir.ump.edu.my/id/eprint/5927/
http://umpir.ump.edu.my/id/eprint/5927/
http://umpir.ump.edu.my/id/eprint/5927/1/Wind_Farm_Reactive_Power_Optimization_by_Using.pdf
first_indexed 2023-09-18T22:01:22Z
last_indexed 2023-09-18T22:01:22Z
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