Application of AI technique for optimal location of UPFC device

The focus of this thesis is a FACTS device known as the Unified Power Flow Controller (UPFC). With its unique capability to control simultaneously real and reactive power flows on a transmission line as well as to regulate voltage at the bus where it is connected, this device creates a tremendous qu...

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Main Author:	Tham, Sai Hou
Format:	Undergraduates Project Papers
Language:	English
Published:	2010
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/2106/ http://umpir.ump.edu.my/id/eprint/2106/ http://umpir.ump.edu.my/id/eprint/2106/1/Tham%2C_Sai_Hou_%28_CD_5312_%29.pdf

id	ump-2106
recordtype	eprints
spelling	ump-21062015-03-03T07:54:45Z http://umpir.ump.edu.my/id/eprint/2106/ Application of AI technique for optimal location of UPFC device Tham, Sai Hou TK Electrical engineering. Electronics Nuclear engineering The focus of this thesis is a FACTS device known as the Unified Power Flow Controller (UPFC). With its unique capability to control simultaneously real and reactive power flows on a transmission line as well as to regulate voltage at the bus where it is connected, this device creates a tremendous quality impact on power system stability. These features become even more significant knowing that the UPFC can allow loading of the transmission lines close to their thermal limits, forcing the power to flow through the desired paths. This will give the power system operators much needed flexibility in order to satisfy the demands that the deregulated power system will impose. The application of Particle Swarm Optimization (PSO) technique is applied to find optimal location of Flexible AC Transmission System (FACTS) devices to achieve maximum system loadability. While finding the optimal location, thermal limit for the lines and voltage limit for the buses are taken as constraints. The type of FACTS devices Unified Power Flow Controller (UPFC) is considered. The optimizations are performed on three parameters namely the location of UPFC device and their setting. Simulations are performed on IEEE 6 bus system for optimal location of UPFC device and the results obtained are encouraging and will be useful in electrical restructuring. 2010-12 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/2106/1/Tham%2C_Sai_Hou_%28_CD_5312_%29.pdf Tham, Sai Hou (2010) Application of AI technique for optimal location of UPFC device. Faculty Of Electrical & Electronic Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:55040&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Tham, Sai Hou Application of AI technique for optimal location of UPFC device
description	The focus of this thesis is a FACTS device known as the Unified Power Flow Controller (UPFC). With its unique capability to control simultaneously real and reactive power flows on a transmission line as well as to regulate voltage at the bus where it is connected, this device creates a tremendous quality impact on power system stability. These features become even more significant knowing that the UPFC can allow loading of the transmission lines close to their thermal limits, forcing the power to flow through the desired paths. This will give the power system operators much needed flexibility in order to satisfy the demands that the deregulated power system will impose. The application of Particle Swarm Optimization (PSO) technique is applied to find optimal location of Flexible AC Transmission System (FACTS) devices to achieve maximum system loadability. While finding the optimal location, thermal limit for the lines and voltage limit for the buses are taken as constraints. The type of FACTS devices Unified Power Flow Controller (UPFC) is considered. The optimizations are performed on three parameters namely the location of UPFC device and their setting. Simulations are performed on IEEE 6 bus system for optimal location of UPFC device and the results obtained are encouraging and will be useful in electrical restructuring.
format	Undergraduates Project Papers
author	Tham, Sai Hou
author_facet	Tham, Sai Hou
author_sort	Tham, Sai Hou
title	Application of AI technique for optimal location of UPFC device
title_short	Application of AI technique for optimal location of UPFC device
title_full	Application of AI technique for optimal location of UPFC device
title_fullStr	Application of AI technique for optimal location of UPFC device
title_full_unstemmed	Application of AI technique for optimal location of UPFC device
title_sort	application of ai technique for optimal location of upfc device
publishDate	2010
url	http://umpir.ump.edu.my/id/eprint/2106/ http://umpir.ump.edu.my/id/eprint/2106/ http://umpir.ump.edu.my/id/eprint/2106/1/Tham%2C_Sai_Hou_%28_CD_5312_%29.pdf
first_indexed	2023-09-18T21:55:40Z
last_indexed	2023-09-18T21:55:40Z
_version_	1777414061657423872

Application of AI technique for optimal location of UPFC device

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