Solving load flow solution using evolutionary programming method / Nurul-Huda Ismail

The load flow problem can be expressed a set of nonlinear simultaneous algebraic equations, then it is impossible to have multiple solutions. To overcome the limitations of conventional load flow problem, a genetic based load flow optimisation is developed. This report presents an alternative method...

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Main Author:	Ismail, Nurul-Huda
Format:	Thesis
Language:	English
Published:	2003
Subjects:	Evolutionary programming (Computer science) Genetic algorithms
Online Access:	https://ir.uitm.edu.my/id/eprint/78085/1/78085.pdf
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id	my-uitm-ir.78085
record_format	uketd_dc
spelling	my-uitm-ir.780852023-07-20T02:20:10Z Solving load flow solution using evolutionary programming method / Nurul-Huda Ismail 2003 Ismail, Nurul-Huda Evolutionary programming (Computer science). Genetic algorithms The load flow problem can be expressed a set of nonlinear simultaneous algebraic equations, then it is impossible to have multiple solutions. To overcome the limitations of conventional load flow problem, a genetic based load flow optimisation is developed. This report presents an alternative method for solving the load flow using the evolutionary programming (EP) method. The principal information obtained from a power-flow study is the magnitude and phase angle of the voltage at each bus and the real and reactive power flowing in each line. The EP developed uses the total active and reactive power mismatches as the objective functions for the load flow solution. It is found that the result from the EP are closed to these obtained from the traditional method. 2003 Thesis https://ir.uitm.edu.my/id/eprint/78085/ https://ir.uitm.edu.my/id/eprint/78085/1/78085.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Abdul Rahman, Titik Khawa
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Abdul Rahman, Titik Khawa
topic	Evolutionary programming (Computer science) Genetic algorithms
spellingShingle	Evolutionary programming (Computer science) Genetic algorithms Ismail, Nurul-Huda Solving load flow solution using evolutionary programming method / Nurul-Huda Ismail
description	The load flow problem can be expressed a set of nonlinear simultaneous algebraic equations, then it is impossible to have multiple solutions. To overcome the limitations of conventional load flow problem, a genetic based load flow optimisation is developed. This report presents an alternative method for solving the load flow using the evolutionary programming (EP) method. The principal information obtained from a power-flow study is the magnitude and phase angle of the voltage at each bus and the real and reactive power flowing in each line. The EP developed uses the total active and reactive power mismatches as the objective functions for the load flow solution. It is found that the result from the EP are closed to these obtained from the traditional method.
format	Thesis
qualification_level	Bachelor degree
author	Ismail, Nurul-Huda
author_facet	Ismail, Nurul-Huda
author_sort	Ismail, Nurul-Huda
title	Solving load flow solution using evolutionary programming method / Nurul-Huda Ismail
title_short	Solving load flow solution using evolutionary programming method / Nurul-Huda Ismail
title_full	Solving load flow solution using evolutionary programming method / Nurul-Huda Ismail
title_fullStr	Solving load flow solution using evolutionary programming method / Nurul-Huda Ismail
title_full_unstemmed	Solving load flow solution using evolutionary programming method / Nurul-Huda Ismail
title_sort	solving load flow solution using evolutionary programming method / nurul-huda ismail
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2003
url	https://ir.uitm.edu.my/id/eprint/78085/1/78085.pdf
_version_	1783736208735600640

Solving load flow solution using evolutionary programming method / Nurul-Huda Ismail

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