Bacterial foraging optimization algorithm for optimal load shedding in power systems / Wan Nur Eliana Afif Wan Afandie

Today’s power grids transfer more electricity over a wider area. Present-day economic and environmental constraints push power system to be operated closer to their limits, which make them more vulnerable to disturbance. Thus, the wide-area outage has become a real threat to modem power systems. A c...

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Main Author:	Wan Afandie, Wan Nur Eliana Afif
Format:	Thesis
Language:	English
Published:	2016
Subjects:	Electronics Applications of electronics
Online Access:	http://ir.uitm.edu.my/id/eprint/27620/ http://ir.uitm.edu.my/id/eprint/27620/1/TM_WAN%20NUR%20ELIANA%20AFIF%20WAN%20AFANDIE%20EE%2016_5.pdf

id	uitm-27620
recordtype	eprints
spelling	uitm-276202020-01-24T01:20:53Z http://ir.uitm.edu.my/id/eprint/27620/ Bacterial foraging optimization algorithm for optimal load shedding in power systems / Wan Nur Eliana Afif Wan Afandie Wan Afandie, Wan Nur Eliana Afif Electronics Applications of electronics Today’s power grids transfer more electricity over a wider area. Present-day economic and environmental constraints push power system to be operated closer to their limits, which make them more vulnerable to disturbance. Thus, the wide-area outage has become a real threat to modem power systems. A common limiting factor for power transmission is the risk of voltage instability in recent years. As the ultimate countermeasure to voltage collapse, load shedding is normally considered the last resort, where there are no other alternatives to stop as approaching voltage collapse. It is an emergency control action in power system that can save systems from blackout. This thesis mainly focus on the widely used under voltage load shedding schemes (UVLS). There are two important things to be considered while performing load shedding. They are locations of load to be shed and the amount of load to be shed. For this research, there are two types of load shedding being tested, Random Generated Locations Load Shedding and Fixed Locations Load Shedding. Voltage stability index, Lindex, is used in determining the load shedding locations for Fixed Locations Load Shedding. By using Bacterial Foraging Optimization Algorithm (BFOA) technique, for each types of load shedding, the simulations are tested on IEEE 30-bus system for 3 and 5 load shedding locations. 3 different load conditions and one line outage cases are tested for 3 objective function and 3 multi-objective functions. The best objective functions for each case then determined by comparing the simulation results. These simulation results are also compared to the simulation results obtained using Evolutionary Programming (EP) technique. It is proven that BFOA gives better performance when compared to EP. 2016 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/27620/1/TM_WAN%20NUR%20ELIANA%20AFIF%20WAN%20AFANDIE%20EE%2016_5.pdf Wan Afandie, Wan Nur Eliana Afif (2016) Bacterial foraging optimization algorithm for optimal load shedding in power systems / Wan Nur Eliana Afif Wan Afandie. Masters thesis, Universiti Teknologi MARA.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Electronics Applications of electronics
spellingShingle	Electronics Applications of electronics Wan Afandie, Wan Nur Eliana Afif Bacterial foraging optimization algorithm for optimal load shedding in power systems / Wan Nur Eliana Afif Wan Afandie
description	Today’s power grids transfer more electricity over a wider area. Present-day economic and environmental constraints push power system to be operated closer to their limits, which make them more vulnerable to disturbance. Thus, the wide-area outage has become a real threat to modem power systems. A common limiting factor for power transmission is the risk of voltage instability in recent years. As the ultimate countermeasure to voltage collapse, load shedding is normally considered the last resort, where there are no other alternatives to stop as approaching voltage collapse. It is an emergency control action in power system that can save systems from blackout. This thesis mainly focus on the widely used under voltage load shedding schemes (UVLS). There are two important things to be considered while performing load shedding. They are locations of load to be shed and the amount of load to be shed. For this research, there are two types of load shedding being tested, Random Generated Locations Load Shedding and Fixed Locations Load Shedding. Voltage stability index, Lindex, is used in determining the load shedding locations for Fixed Locations Load Shedding. By using Bacterial Foraging Optimization Algorithm (BFOA) technique, for each types of load shedding, the simulations are tested on IEEE 30-bus system for 3 and 5 load shedding locations. 3 different load conditions and one line outage cases are tested for 3 objective function and 3 multi-objective functions. The best objective functions for each case then determined by comparing the simulation results. These simulation results are also compared to the simulation results obtained using Evolutionary Programming (EP) technique. It is proven that BFOA gives better performance when compared to EP.
format	Thesis
author	Wan Afandie, Wan Nur Eliana Afif
author_facet	Wan Afandie, Wan Nur Eliana Afif
author_sort	Wan Afandie, Wan Nur Eliana Afif
title	Bacterial foraging optimization algorithm for optimal load shedding in power systems / Wan Nur Eliana Afif Wan Afandie
title_short	Bacterial foraging optimization algorithm for optimal load shedding in power systems / Wan Nur Eliana Afif Wan Afandie
title_full	Bacterial foraging optimization algorithm for optimal load shedding in power systems / Wan Nur Eliana Afif Wan Afandie
title_fullStr	Bacterial foraging optimization algorithm for optimal load shedding in power systems / Wan Nur Eliana Afif Wan Afandie
title_full_unstemmed	Bacterial foraging optimization algorithm for optimal load shedding in power systems / Wan Nur Eliana Afif Wan Afandie
title_sort	bacterial foraging optimization algorithm for optimal load shedding in power systems / wan nur eliana afif wan afandie
publishDate	2016
url	http://ir.uitm.edu.my/id/eprint/27620/ http://ir.uitm.edu.my/id/eprint/27620/1/TM_WAN%20NUR%20ELIANA%20AFIF%20WAN%20AFANDIE%20EE%2016_5.pdf
first_indexed	2023-09-18T23:18:43Z
last_indexed	2023-09-18T23:18:43Z
_version_	1777419287415226368

Bacterial foraging optimization algorithm for optimal load shedding in power systems / Wan Nur Eliana Afif Wan Afandie

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