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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
Electric power distribution. Electric power transmission
Online Access:https://ir.uitm.edu.my/id/eprint/86933/1/86933.PDF
https://ir.uitm.edu.my/id/eprint/86933/
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id my.uitm.ir.86933
record_format eprints
spelling my.uitm.ir.869332024-03-08T00:29:13Z https://ir.uitm.edu.my/id/eprint/86933/ A power flow solvability identification and calculation algorithm using evolutionary programming (EP) / Kahardi Muhammad Talib 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 NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/86933/1/86933.PDF A power flow solvability identification and calculation algorithm using evolutionary programming (EP) / Kahardi Muhammad Talib. (2016) Degree thesis, thesis, Universiti Teknologi MARA (UiTM).
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Evolutionary programming (Computer science). Genetic algorithms
Electric power distribution. Electric power transmission
spellingShingle Evolutionary programming (Computer science). Genetic algorithms
Electric power distribution. Electric power transmission
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
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
publishDate 2016
url https://ir.uitm.edu.my/id/eprint/86933/1/86933.PDF
https://ir.uitm.edu.my/id/eprint/86933/
_version_ 1793161852500312064
score 13.18916

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