Probabilistic collocation method for evaluation available transfer capability hybrid wind power system
Available Transfer Capability (ATC) computation of power systems including an excessive wind power penetration became a vital issue for system operation and planning due to the uncertainty and fast variation of wind speed. This paper proposes Probabilistic Collocation Method (PCM) for ATC determin...
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2016
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my.iium.irep.502522017-01-03T08:29:09Z http://irep.iium.edu.my/50252/ Probabilistic collocation method for evaluation available transfer capability hybrid wind power system Khalifa, Othman Omran Khairuddin, Azhar Alhammi, Abdelwahab I. T Technology (General) Available Transfer Capability (ATC) computation of power systems including an excessive wind power penetration became a vital issue for system operation and planning due to the uncertainty and fast variation of wind speed. This paper proposes Probabilistic Collocation Method (PCM) for ATC determination with a grid connected hybrid wind power system. The low-order orthogonal polynomials are utilized to generate the approximation of the random variable of interest as the function of uncertainty parameters. The proposed method is a computational effectual solution to specify quite a precise approximation for the given probability distribution (PD) of system response. Consequently the method can significantly lessen the computational time compared to the traditional Monte Carlo (MC) approach. Examples are given on the IEEE 39 bus system to illustrate the effectiveness of the proposed method. Asian Research Publishing Network (ARPN) 2016-03 Article REM application/pdf en http://irep.iium.edu.my/50252/1/PROBABILISTIC_COLLOCATION_METHOD_FOR_EVALUATION.pdf Khalifa, Othman Omran and Khairuddin, Azhar and Alhammi, Abdelwahab I. (2016) Probabilistic collocation method for evaluation available transfer capability hybrid wind power system. ARPN Journal of Engineering and Applied Sciences, 11 (6). 4143 -4153 . ISSN 1819-6608 http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0316_3935.pdf |
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T Technology (General) Khalifa, Othman Omran Khairuddin, Azhar Alhammi, Abdelwahab I. Probabilistic collocation method for evaluation available transfer capability hybrid wind power system |
description |
Available Transfer Capability (ATC) computation of power systems including an excessive wind power
penetration became a vital issue for system operation and planning due to the uncertainty and fast variation of wind speed.
This paper proposes Probabilistic Collocation Method (PCM) for ATC determination with a grid connected hybrid wind
power system. The low-order orthogonal polynomials are utilized to generate the approximation of the random variable of
interest as the function of uncertainty parameters. The proposed method is a computational effectual solution to specify
quite a precise approximation for the given probability distribution (PD) of system response. Consequently the method can
significantly lessen the computational time compared to the traditional Monte Carlo (MC) approach. Examples are given
on the IEEE 39 bus system to illustrate the effectiveness of the proposed method. |
format |
Article |
author |
Khalifa, Othman Omran Khairuddin, Azhar Alhammi, Abdelwahab I. |
author_facet |
Khalifa, Othman Omran Khairuddin, Azhar Alhammi, Abdelwahab I. |
author_sort |
Khalifa, Othman Omran |
title |
Probabilistic collocation method for evaluation available transfer capability hybrid wind power system |
title_short |
Probabilistic collocation method for evaluation available transfer capability hybrid wind power system |
title_full |
Probabilistic collocation method for evaluation available transfer capability hybrid wind power system |
title_fullStr |
Probabilistic collocation method for evaluation available transfer capability hybrid wind power system |
title_full_unstemmed |
Probabilistic collocation method for evaluation available transfer capability hybrid wind power system |
title_sort |
probabilistic collocation method for evaluation available transfer capability hybrid wind power system |
publisher |
Asian Research Publishing Network (ARPN) |
publishDate |
2016 |
url |
http://irep.iium.edu.my/50252/1/PROBABILISTIC_COLLOCATION_METHOD_FOR_EVALUATION.pdf http://irep.iium.edu.my/50252/ http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0316_3935.pdf |
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13.211869 |