Available transfer capability optimisation using evolutionary programming / Muhammad Murtadha Othman and Bibi Norashiqin Sheikh Rahimullah

In a deregulated electric power industry, transmission providers are required to rapidly produce commercially viable information of available transfer capability (ATC) so that such information can help power marketers, sellers and buyers in planning, operation and reserving transmission services. A...

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Main Authors:	Othman, Muhammad Murtadha, Sheikh Rahimullah, Bibi Norashiqin
Format:	Article
Language:	English
Published:	Institute of Research, Development and Commercialisation (IRDC) 2007
Subjects:	Malaysia Transfer functions
Online Access:	http://ir.uitm.edu.my/id/eprint/12826/ http://ir.uitm.edu.my/id/eprint/12826/1/AJ_MUHAMMAD%20MURTADHA%20OTHMAN%20SRJ%2007%201.pdf

id	uitm-12826
recordtype	eprints
spelling	uitm-128262016-05-27T10:08:06Z http://ir.uitm.edu.my/id/eprint/12826/ Available transfer capability optimisation using evolutionary programming / Muhammad Murtadha Othman and Bibi Norashiqin Sheikh Rahimullah Othman, Muhammad Murtadha Sheikh Rahimullah, Bibi Norashiqin Malaysia Transfer functions In a deregulated electric power industry, transmission providers are required to rapidly produce commercially viable information of available transfer capability (ATC) so that such information can help power marketers, sellers and buyers in planning, operation and reserving transmission services. ATC is a measure of the additional amount of power transfer that may flow across the interface, over and above the base case flows without jeopardizing power system security. This paper presents the ATC determination using the evolutionary programming (EP) technique using modified Gaussian formulation. The proposed EP technique has the ability in providing accurate ATC results and the computation burden caused by the AC power flow solutions are significantly reduced. The outages of critical line that adversely affect the amount of ATC are determined by performing the line contingency ranking and selection. ATC determinations have been made on the case study of Malaysian system. Comparison in terms of accuracy and computation time in estimating the ATC are made by considering the three methods which are the EP using modified Gaussian formulation (EPMG), EP using standard Gaussian formulation (EPSG) and the recursive AC power flow solution (RACPF). Institute of Research, Development and Commercialisation (IRDC) 2007 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/12826/1/AJ_MUHAMMAD%20MURTADHA%20OTHMAN%20SRJ%2007%201.pdf Othman, Muhammad Murtadha and Sheikh Rahimullah, Bibi Norashiqin (2007) Available transfer capability optimisation using evolutionary programming / Muhammad Murtadha Othman and Bibi Norashiqin Sheikh Rahimullah. Scientific Research Journal, 4 (2). pp. 13-26. ISSN 1675-7009
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Malaysia Transfer functions
spellingShingle	Malaysia Transfer functions Othman, Muhammad Murtadha Sheikh Rahimullah, Bibi Norashiqin Available transfer capability optimisation using evolutionary programming / Muhammad Murtadha Othman and Bibi Norashiqin Sheikh Rahimullah
description	In a deregulated electric power industry, transmission providers are required to rapidly produce commercially viable information of available transfer capability (ATC) so that such information can help power marketers, sellers and buyers in planning, operation and reserving transmission services. ATC is a measure of the additional amount of power transfer that may flow across the interface, over and above the base case flows without jeopardizing power system security. This paper presents the ATC determination using the evolutionary programming (EP) technique using modified Gaussian formulation. The proposed EP technique has the ability in providing accurate ATC results and the computation burden caused by the AC power flow solutions are significantly reduced. The outages of critical line that adversely affect the amount of ATC are determined by performing the line contingency ranking and selection. ATC determinations have been made on the case study of Malaysian system. Comparison in terms of accuracy and computation time in estimating the ATC are made by considering the three methods which are the EP using modified Gaussian formulation (EPMG), EP using standard Gaussian formulation (EPSG) and the recursive AC power flow solution (RACPF).
format	Article
author	Othman, Muhammad Murtadha Sheikh Rahimullah, Bibi Norashiqin
author_facet	Othman, Muhammad Murtadha Sheikh Rahimullah, Bibi Norashiqin
author_sort	Othman, Muhammad Murtadha
title	Available transfer capability optimisation using evolutionary programming / Muhammad Murtadha Othman and Bibi Norashiqin Sheikh Rahimullah
title_short	Available transfer capability optimisation using evolutionary programming / Muhammad Murtadha Othman and Bibi Norashiqin Sheikh Rahimullah
title_full	Available transfer capability optimisation using evolutionary programming / Muhammad Murtadha Othman and Bibi Norashiqin Sheikh Rahimullah
title_fullStr	Available transfer capability optimisation using evolutionary programming / Muhammad Murtadha Othman and Bibi Norashiqin Sheikh Rahimullah
title_full_unstemmed	Available transfer capability optimisation using evolutionary programming / Muhammad Murtadha Othman and Bibi Norashiqin Sheikh Rahimullah
title_sort	available transfer capability optimisation using evolutionary programming / muhammad murtadha othman and bibi norashiqin sheikh rahimullah
publisher	Institute of Research, Development and Commercialisation (IRDC)
publishDate	2007
url	http://ir.uitm.edu.my/id/eprint/12826/ http://ir.uitm.edu.my/id/eprint/12826/1/AJ_MUHAMMAD%20MURTADHA%20OTHMAN%20SRJ%2007%201.pdf
first_indexed	2023-09-18T22:49:30Z
last_indexed	2023-09-18T22:49:30Z
_version_	1777417449311830016

Available transfer capability optimisation using evolutionary programming / Muhammad Murtadha Othman and Bibi Norashiqin Sheikh Rahimullah

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