Determination of Fast Voltage Stability Index (FVSI) using Evolutionary Programming (EP) technique to maintain system stability / Norhafizah Zulkipli

Nowadays, electrical energy used is increasing from day onwards, so in order to meet the demand, power systems are operating closer to their maximum capacity which will cause higher risk to the power system instability. It also will cause the shutdown of entire power system. Thus, this paper propose...

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Main Author:	Zulkipli, Norhafizah
Format:	Thesis
Language:	English
Published:	2014
Subjects:	Evolutionary programming (Computer science) Genetic algorithms
Online Access:	https://ir.uitm.edu.my/id/eprint/78061/1/78061.pdf
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id	my-uitm-ir.78061
record_format	uketd_dc
spelling	my-uitm-ir.780612024-05-17T08:51:22Z Determination of Fast Voltage Stability Index (FVSI) using Evolutionary Programming (EP) technique to maintain system stability / Norhafizah Zulkipli 2014 Zulkipli, Norhafizah Evolutionary programming (Computer science). Genetic algorithms Nowadays, electrical energy used is increasing from day onwards, so in order to meet the demand, power systems are operating closer to their maximum capacity which will cause higher risk to the power system instability. It also will cause the shutdown of entire power system. Thus, this paper proposes an application of Fast Voltage Stability Index (FVSI) to power system stability using Evolutionary Programming (EP) technique. FVSI is used to verify the stability of the systems based on the variation of reactive power load. The value of FVSI close to unity shows that the line has reached its instability limit. This could cause sudden voltage drop to the corresponding bus. EP technique involves mutation process which is used to generate offspring from parents. The biggest advantage of EP is it allows development of complex applications which in tum the solution will fit the needs of the users. The standard IEEE 30-bus test system has been used as a case study in this research. This paper shows the relationship between the numbers of reactive power load bus, search step size and number of population with total losses and value of FVSI. From the simulation results, it indicates that the proposed technique has been able to reduce the system losses and able to verified the voltage stability system with the application of FVSI. 2014 Thesis https://ir.uitm.edu.my/id/eprint/78061/ https://ir.uitm.edu.my/id/eprint/78061/1/78061.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Othman, Muhammad Murtadha
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Othman, Muhammad Murtadha
topic	Evolutionary programming (Computer science) Genetic algorithms
spellingShingle	Evolutionary programming (Computer science) Genetic algorithms Zulkipli, Norhafizah Determination of Fast Voltage Stability Index (FVSI) using Evolutionary Programming (EP) technique to maintain system stability / Norhafizah Zulkipli
description	Nowadays, electrical energy used is increasing from day onwards, so in order to meet the demand, power systems are operating closer to their maximum capacity which will cause higher risk to the power system instability. It also will cause the shutdown of entire power system. Thus, this paper proposes an application of Fast Voltage Stability Index (FVSI) to power system stability using Evolutionary Programming (EP) technique. FVSI is used to verify the stability of the systems based on the variation of reactive power load. The value of FVSI close to unity shows that the line has reached its instability limit. This could cause sudden voltage drop to the corresponding bus. EP technique involves mutation process which is used to generate offspring from parents. The biggest advantage of EP is it allows development of complex applications which in tum the solution will fit the needs of the users. The standard IEEE 30-bus test system has been used as a case study in this research. This paper shows the relationship between the numbers of reactive power load bus, search step size and number of population with total losses and value of FVSI. From the simulation results, it indicates that the proposed technique has been able to reduce the system losses and able to verified the voltage stability system with the application of FVSI.
format	Thesis
qualification_level	Bachelor degree
author	Zulkipli, Norhafizah
author_facet	Zulkipli, Norhafizah
author_sort	Zulkipli, Norhafizah
title	Determination of Fast Voltage Stability Index (FVSI) using Evolutionary Programming (EP) technique to maintain system stability / Norhafizah Zulkipli
title_short	Determination of Fast Voltage Stability Index (FVSI) using Evolutionary Programming (EP) technique to maintain system stability / Norhafizah Zulkipli
title_full	Determination of Fast Voltage Stability Index (FVSI) using Evolutionary Programming (EP) technique to maintain system stability / Norhafizah Zulkipli
title_fullStr	Determination of Fast Voltage Stability Index (FVSI) using Evolutionary Programming (EP) technique to maintain system stability / Norhafizah Zulkipli
title_full_unstemmed	Determination of Fast Voltage Stability Index (FVSI) using Evolutionary Programming (EP) technique to maintain system stability / Norhafizah Zulkipli
title_sort	determination of fast voltage stability index (fvsi) using evolutionary programming (ep) technique to maintain system stability / norhafizah zulkipli
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2014
url	https://ir.uitm.edu.my/id/eprint/78061/1/78061.pdf
_version_	1804889698757246976

Determination of Fast Voltage Stability Index (FVSI) using Evolutionary Programming (EP) technique to maintain system stability / Norhafizah Zulkipli

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