Immune-based technique for online security evaluation in power system / Saiful Izwan Suliman

Voltage instability has recently become a challenging problem for many power system operators. This phenomenon could lead to the occurrence of voltage collapse or blackout to the whole system. Voltage stability monitoring in power system operation is a suggested solution for this problem so that the...

Full description

Saved in:

Bibliographic Details
Main Author:	Suliman, Saiful Izwan
Format:	Thesis
Language:	English
Published:	2006
Subjects:	Artificial immune systems Immunocomputers
Online Access:	https://ir.uitm.edu.my/id/eprint/104742/1/104742.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uitm-ir.104742
record_format	uketd_dc
spelling	my-uitm-ir.1047422024-12-10T00:55:57Z Immune-based technique for online security evaluation in power system / Saiful Izwan Suliman 2006 Suliman, Saiful Izwan Artificial immune systems. Immunocomputers Voltage instability has recently become a challenging problem for many power system operators. This phenomenon could lead to the occurrence of voltage collapse or blackout to the whole system. Voltage stability monitoring in power system operation is a suggested solution for this problem so that the occurrence of voltage collapse due to voltage instability could be avoided. This thesis presents the application of Artificial Immune Systems (AIS) for online voltage stability evaluation which could be used as an early warmng system to the power system operator so that necessary action could be taken in order to avoid the occurrence of voltage collapse. Based on the literature review, it has been found that no research has yet been conducted in analyzing voltage stability condition of a power system using AIS, indirectly showing that this new technique provides an alternative way in solving this problem based on voltage stability index evaluation. Key features of the proposed method are the implementation of clonal selection principle that has the capability in performing pattern recognition task and the implementation of multistage programming concept which has steered the developed system to complete the computation at a rate faster and enhanced the efficiency of the training process in terms of the accuracy of the prediction. The proposed method was developed using C++ programming language and was tested on the IEEE 6-bus and 30-bus power system. Fast performance with accurate prediction for voltage stability index has been obtained. A comparative study also had been conducted with another Artificial Neural Network-based system developed for the similar purpose. The results obtained have shown the potential of AIS as an alternative method in solving pattern recognitionrelated task and in this case recognizing the voltage stability condition based on the loading condition of a system. This new technique promises many advantages in producing good solutions and has the potential to be a valuable tool for fast real-time voltage stability assessment in a power system. 2006 Thesis https://ir.uitm.edu.my/id/eprint/104742/ https://ir.uitm.edu.my/id/eprint/104742/1/104742.pdf text en public masters Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Khawa, Titik
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Khawa, Titik
topic	Artificial immune systems Immunocomputers
spellingShingle	Artificial immune systems Immunocomputers Suliman, Saiful Izwan Immune-based technique for online security evaluation in power system / Saiful Izwan Suliman
description	Voltage instability has recently become a challenging problem for many power system operators. This phenomenon could lead to the occurrence of voltage collapse or blackout to the whole system. Voltage stability monitoring in power system operation is a suggested solution for this problem so that the occurrence of voltage collapse due to voltage instability could be avoided. This thesis presents the application of Artificial Immune Systems (AIS) for online voltage stability evaluation which could be used as an early warmng system to the power system operator so that necessary action could be taken in order to avoid the occurrence of voltage collapse. Based on the literature review, it has been found that no research has yet been conducted in analyzing voltage stability condition of a power system using AIS, indirectly showing that this new technique provides an alternative way in solving this problem based on voltage stability index evaluation. Key features of the proposed method are the implementation of clonal selection principle that has the capability in performing pattern recognition task and the implementation of multistage programming concept which has steered the developed system to complete the computation at a rate faster and enhanced the efficiency of the training process in terms of the accuracy of the prediction. The proposed method was developed using C++ programming language and was tested on the IEEE 6-bus and 30-bus power system. Fast performance with accurate prediction for voltage stability index has been obtained. A comparative study also had been conducted with another Artificial Neural Network-based system developed for the similar purpose. The results obtained have shown the potential of AIS as an alternative method in solving pattern recognitionrelated task and in this case recognizing the voltage stability condition based on the loading condition of a system. This new technique promises many advantages in producing good solutions and has the potential to be a valuable tool for fast real-time voltage stability assessment in a power system.
format	Thesis
qualification_level	Master's degree
author	Suliman, Saiful Izwan
author_facet	Suliman, Saiful Izwan
author_sort	Suliman, Saiful Izwan
title	Immune-based technique for online security evaluation in power system / Saiful Izwan Suliman
title_short	Immune-based technique for online security evaluation in power system / Saiful Izwan Suliman
title_full	Immune-based technique for online security evaluation in power system / Saiful Izwan Suliman
title_fullStr	Immune-based technique for online security evaluation in power system / Saiful Izwan Suliman
title_full_unstemmed	Immune-based technique for online security evaluation in power system / Saiful Izwan Suliman
title_sort	immune-based technique for online security evaluation in power system / saiful izwan suliman
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2006
url	https://ir.uitm.edu.my/id/eprint/104742/1/104742.pdf
_version_	1818588118329065472

Immune-based technique for online security evaluation in power system / Saiful Izwan Suliman

Similar Items