Probabilistic collocation method for evaluation available transfer capability hybrid wind power system

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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Main Authors: Khalifa, Othman Omran, Khairuddin, Azhar, Alhammi, Abdelwahab I.
Format: Article
Language:English
Published: Asian Research Publishing Network (ARPN) 2016
Subjects:
T Technology (General)
Online Access:http://irep.iium.edu.my/50252/
http://irep.iium.edu.my/50252/
http://irep.iium.edu.my/50252/1/PROBABILISTIC_COLLOCATION_METHOD_FOR_EVALUATION.pdf
id iium-50252
recordtype eprints
spelling iium-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 PeerReviewed 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
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic T Technology (General)
spellingShingle 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/
http://irep.iium.edu.my/50252/
http://irep.iium.edu.my/50252/1/PROBABILISTIC_COLLOCATION_METHOD_FOR_EVALUATION.pdf
first_indexed 2023-09-18T21:11:01Z
last_indexed 2023-09-18T21:11:01Z
_version_ 1777411252949090304

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