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 (...
Saved in:
Main Authors: | , , |
---|---|
Format: | Article |
Published: |
ASIAN Research Publishing Network
2016
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/68360/ http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0316_3935.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.utm.68360 |
---|---|
record_format |
eprints |
spelling |
my.utm.683602017-11-20T08:52:09Z http://eprints.utm.my/id/eprint/68360/ Probabilistic collocation method for evaluation available transfer capability hybrid wind power system Othman, O. Khalifa Khairuddin, Azhar N. Alhammi, Abdel Wahab Ibrahim TK Electrical engineering. Electronics Nuclear engineering 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 pro posed method. ASIAN Research Publishing Network 2016-01-03 Article PeerReviewed Othman, O. Khalifa and Khairuddin, Azhar and N. Alhammi, Abdel Wahab Ibrahim (2016) Probabilistic collocation method for evaluation available transfer capability hybrid wind power system. ARPN Journal of Engineering and Applied Sciences, 11 (6). pp. 4143-4153. ISSN 1819-6608 http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0316_3935.pdf |
institution |
Universiti Teknologi Malaysia |
building |
UTM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Malaysia |
content_source |
UTM Institutional Repository |
url_provider |
http://eprints.utm.my/ |
topic |
TK Electrical engineering. Electronics Nuclear engineering |
spellingShingle |
TK Electrical engineering. Electronics Nuclear engineering Othman, O. Khalifa Khairuddin, Azhar N. Alhammi, Abdel Wahab Ibrahim 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 pro posed method. |
format |
Article |
author |
Othman, O. Khalifa Khairuddin, Azhar N. Alhammi, Abdel Wahab Ibrahim |
author_facet |
Othman, O. Khalifa Khairuddin, Azhar N. Alhammi, Abdel Wahab Ibrahim |
author_sort |
Othman, O. Khalifa |
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 |
publishDate |
2016 |
url |
http://eprints.utm.my/id/eprint/68360/ http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0316_3935.pdf |
_version_ |
1643655939088187392 |
score |
13.211869 |