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...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/47760/ http://psasir.upm.edu.my/id/eprint/47760/1/Wind%20farm%20reactive%20power%20optimization%20by%20using%20imperialist%20competitive%20algorithm.pdf |
| _version_ | 1848850898712788992 |
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| author | Soheilirad, Mohammadsoroush Hizam, Hashim Farzan, Payam Hojabri, Mojgan Fallah, Seyedeh Narjes Soheilirad, G. |
| author_facet | Soheilirad, Mohammadsoroush Hizam, Hashim Farzan, Payam Hojabri, Mojgan Fallah, Seyedeh Narjes Soheilirad, G. |
| author_sort | Soheilirad, Mohammadsoroush |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T10:13:36Z |
| format | Conference or Workshop Item |
| id | upm-47760 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:13:36Z |
| publishDate | 2013 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-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 |
| spellingShingle | Soheilirad, Mohammadsoroush Hizam, Hashim Farzan, Payam Hojabri, Mojgan Fallah, Seyedeh Narjes Soheilirad, G. Wind farm reactive power optimization by using imperialist competitive algorithm |
| title | 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_short | Wind farm reactive power optimization by using imperialist competitive algorithm |
| title_sort | wind farm reactive power optimization by using imperialist competitive algorithm |
| url | http://psasir.upm.edu.my/id/eprint/47760/ http://psasir.upm.edu.my/id/eprint/47760/ http://psasir.upm.edu.my/id/eprint/47760/1/Wind%20farm%20reactive%20power%20optimization%20by%20using%20imperialist%20competitive%20algorithm.pdf |