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Artificial immuned based real and reactive power rescheduling for voltage stability improvement in power system / Sazwan Ishak

Voltage stability improvement in power system is an important consideration in power system operation when involving heavily stressed system with large amount of real and reactive power demand and low voltage condition. In addition, generation and load rescheduling changes power flows system netw...

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Main Author: Ishak, Sazwan
Format: Thesis
Language:English
Published: 2008
Subjects:
TK Electrical engineering. Electronics. Nuclear engineering
Production of electric energy or power. Powerplants. Central stations
Electric power distribution. Electric power transmission
Online Access:http://ir.uitm.edu.my/id/eprint/597/1/TM_SAZWAN%20ISHAK%20EE%2008_5%201.pdf
http://ir.uitm.edu.my/id/eprint/597/
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spelling my.uitm.ir.5972016-07-01T04:01:53Z http://ir.uitm.edu.my/id/eprint/597/ Artificial immuned based real and reactive power rescheduling for voltage stability improvement in power system / Sazwan Ishak Ishak, Sazwan TK Electrical engineering. Electronics. Nuclear engineering Production of electric energy or power. Powerplants. Central stations Electric power distribution. Electric power transmission Voltage stability improvement in power system is an important consideration in power system operation when involving heavily stressed system with large amount of real and reactive power demand and low voltage condition. In addition, generation and load rescheduling changes power flows system networks and voltage profiles which will also affect voltage stability in power system. One of the methods known to be able to improve voltage stability is by means of real and reactive power rescheduling. This research proposed a new technique for rescheduling the real and reactive power generated by the generating units and also identifying suitable location and sizing for compensating capacitors based on Artificial Immune System (AIS) optimization technique. In this study two objective functions were consider for optimization which is L index technique and total loss minimization. The voltage stability L index also was utilized as an indicator for voltage stability evaluation. The study also considers contingency cases such as single line and double line outages. The performance of this technique was tested using the 57 bus IEEE Reliability Test Systems. A comparative study was made between the AIS optimization technique and the other biological computing technique namely the Evolutionary Programming (EP) optimization technique in performing similar task in order to identify the merits of former technique. 2008 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/597/1/TM_SAZWAN%20ISHAK%20EE%2008_5%201.pdf Ishak, Sazwan (2008) Artificial immuned based real and reactive power rescheduling for voltage stability improvement in power system / Sazwan Ishak. Masters thesis, Universiti Teknologi MARA.
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 TK Electrical engineering. Electronics. Nuclear engineering
Production of electric energy or power. Powerplants. Central stations
Electric power distribution. Electric power transmission
spellingShingle TK Electrical engineering. Electronics. Nuclear engineering
Production of electric energy or power. Powerplants. Central stations
Electric power distribution. Electric power transmission
Ishak, Sazwan
Artificial immuned based real and reactive power rescheduling for voltage stability improvement in power system / Sazwan Ishak
description Voltage stability improvement in power system is an important consideration in power system operation when involving heavily stressed system with large amount of real and reactive power demand and low voltage condition. In addition, generation and load rescheduling changes power flows system networks and voltage profiles which will also affect voltage stability in power system. One of the methods known to be able to improve voltage stability is by means of real and reactive power rescheduling. This research proposed a new technique for rescheduling the real and reactive power generated by the generating units and also identifying suitable location and sizing for compensating capacitors based on Artificial Immune System (AIS) optimization technique. In this study two objective functions were consider for optimization which is L index technique and total loss minimization. The voltage stability L index also was utilized as an indicator for voltage stability evaluation. The study also considers contingency cases such as single line and double line outages. The performance of this technique was tested using the 57 bus IEEE Reliability Test Systems. A comparative study was made between the AIS optimization technique and the other biological computing technique namely the Evolutionary Programming (EP) optimization technique in performing similar task in order to identify the merits of former technique.
format Thesis
author Ishak, Sazwan
author_facet Ishak, Sazwan
author_sort Ishak, Sazwan
title Artificial immuned based real and reactive power rescheduling for voltage stability improvement in power system / Sazwan Ishak
title_short Artificial immuned based real and reactive power rescheduling for voltage stability improvement in power system / Sazwan Ishak
title_full Artificial immuned based real and reactive power rescheduling for voltage stability improvement in power system / Sazwan Ishak
title_fullStr Artificial immuned based real and reactive power rescheduling for voltage stability improvement in power system / Sazwan Ishak
title_full_unstemmed Artificial immuned based real and reactive power rescheduling for voltage stability improvement in power system / Sazwan Ishak
title_sort artificial immuned based real and reactive power rescheduling for voltage stability improvement in power system / sazwan ishak
publishDate 2008
url http://ir.uitm.edu.my/id/eprint/597/1/TM_SAZWAN%20ISHAK%20EE%2008_5%201.pdf
http://ir.uitm.edu.my/id/eprint/597/
_version_ 1685648071222886400
score 13.211869

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