A power flow solvability identification and calculation algorithm using evolutionary programming (EP) / Kahardi Muhammad Talib

Power flow is the solution for the static operating condition of an electric-power transmission system with a set of system parameters and properties. This paper proposes the Evolutionary Programming (EP) technique to estimate the power flow solvability by using IEEE 6-bus Reliability Test System (R...

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Bibliographic Details
Main Author:	Muhammad Talib, Kahardi
Format:	Thesis
Language:	English
Published:	2016
Subjects:	Evolutionary programming (Computer science) Genetic algorithms
Online Access:	https://ir.uitm.edu.my/id/eprint/86933/1/86933.PDF
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id	my-uitm-ir.86933
record_format	uketd_dc
spelling	my-uitm-ir.869332024-03-08T00:29:13Z A power flow solvability identification and calculation algorithm using evolutionary programming (EP) / Kahardi Muhammad Talib 2016 Muhammad Talib, Kahardi Evolutionary programming (Computer science). Genetic algorithms Electric power distribution. Electric power transmission Power flow is the solution for the static operating condition of an electric-power transmission system with a set of system parameters and properties. This paper proposes the Evolutionary Programming (EP) technique to estimate the power flow solvability by using IEEE 6-bus Reliability Test System (RTS). 2016 Thesis https://ir.uitm.edu.my/id/eprint/86933/ https://ir.uitm.edu.my/id/eprint/86933/1/86933.PDF text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Musirin, Ismail (Dr.)
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Musirin, Ismail (Dr.)
topic	Evolutionary programming (Computer science) Genetic algorithms Evolutionary programming (Computer science) Genetic algorithms
spellingShingle	Evolutionary programming (Computer science) Genetic algorithms Evolutionary programming (Computer science) Genetic algorithms Muhammad Talib, Kahardi A power flow solvability identification and calculation algorithm using evolutionary programming (EP) / Kahardi Muhammad Talib
description	Power flow is the solution for the static operating condition of an electric-power transmission system with a set of system parameters and properties. This paper proposes the Evolutionary Programming (EP) technique to estimate the power flow solvability by using IEEE 6-bus Reliability Test System (RTS).
format	Thesis
qualification_level	Bachelor degree
author	Muhammad Talib, Kahardi
author_facet	Muhammad Talib, Kahardi
author_sort	Muhammad Talib, Kahardi
title	A power flow solvability identification and calculation algorithm using evolutionary programming (EP) / Kahardi Muhammad Talib
title_short	A power flow solvability identification and calculation algorithm using evolutionary programming (EP) / Kahardi Muhammad Talib
title_full	A power flow solvability identification and calculation algorithm using evolutionary programming (EP) / Kahardi Muhammad Talib
title_fullStr	A power flow solvability identification and calculation algorithm using evolutionary programming (EP) / Kahardi Muhammad Talib
title_full_unstemmed	A power flow solvability identification and calculation algorithm using evolutionary programming (EP) / Kahardi Muhammad Talib
title_sort	power flow solvability identification and calculation algorithm using evolutionary programming (ep) / kahardi muhammad talib
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2016
url	https://ir.uitm.edu.my/id/eprint/86933/1/86933.PDF
_version_	1794192102084575232

A power flow solvability identification and calculation algorithm using evolutionary programming (EP) / Kahardi Muhammad Talib

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