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Genetic algorithm based method for optimal location placement of flexible ac transmission system devices for voltage profile improvement

This thesis present a genetic algorithm based method for placement of FACTS devices for voltage profile improvement. The locations of controllers are determined based on two considerations which are increment of distance to collapse point and minimizing real power loss of system. The Static Var Co...

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Main Author: Karami, Mahdi
Format: Thesis
Language:English
Published: 2011
Online Access:http://psasir.upm.edu.my/id/eprint/41680/1/FK%202011%20130R.pdf
http://psasir.upm.edu.my/id/eprint/41680/
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spelling my.upm.eprints.416802016-01-04T08:29:29Z http://psasir.upm.edu.my/id/eprint/41680/ Genetic algorithm based method for optimal location placement of flexible ac transmission system devices for voltage profile improvement Karami, Mahdi This thesis present a genetic algorithm based method for placement of FACTS devices for voltage profile improvement. The locations of controllers are determined based on two considerations which are increment of distance to collapse point and minimizing real power loss of system. The Static Var Compensator (SVC), Thyristor Controlled Series Compensator (TCSC), Static Synchronous Compensator (STATCOM), Static Synchronous Series Compensator (SSSC) and Unified Power Flow Controller (UPFC) are used in this thesis. These controllers can be connected in series, shunt or combination of both with the system. This study is focused on placement of mentioned FACTS devices in power system network which are the famous types of these controllers while most of works had been done with regards to one or limited types of FACTS controllers. The basic structure of FACTS devices and their configuration is described. A heuristic method known as genetic algorithm is used to seek the optimum location and setting of these controllers where there are some works related to this case using various techniques. The genetic algorithm technique is explained and the real number representation of genetic algorithm is modeled. Most of the previous close studies have been performed to optimize two parameters i.e. location and rated value of each device only, while all the possible control parameters of each device including its location are optimized simultaneously in this study. The IEEE 14-bus, 57-bus and 118-bus test systems are utilized during this research to verify the recommended method. The modeling of power systems, FACTS devices and genetic algorithms are performed through MATLAB/PSAT simulation. The power flow analysis and continuation power flow analysis are employed to verify the performance of systems and to determine the collapse point of systems respectively. The results achieved from the simulations manifestly proved that the proposed method is an effective approach for placement of various types of FACTS controllers considering different problems in power system. 2011-11 Thesis NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/41680/1/FK%202011%20130R.pdf Karami, Mahdi (2011) Genetic algorithm based method for optimal location placement of flexible ac transmission system devices for voltage profile improvement. Masters thesis, Universiti Putra Malaysia.
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description This thesis present a genetic algorithm based method for placement of FACTS devices for voltage profile improvement. The locations of controllers are determined based on two considerations which are increment of distance to collapse point and minimizing real power loss of system. The Static Var Compensator (SVC), Thyristor Controlled Series Compensator (TCSC), Static Synchronous Compensator (STATCOM), Static Synchronous Series Compensator (SSSC) and Unified Power Flow Controller (UPFC) are used in this thesis. These controllers can be connected in series, shunt or combination of both with the system. This study is focused on placement of mentioned FACTS devices in power system network which are the famous types of these controllers while most of works had been done with regards to one or limited types of FACTS controllers. The basic structure of FACTS devices and their configuration is described. A heuristic method known as genetic algorithm is used to seek the optimum location and setting of these controllers where there are some works related to this case using various techniques. The genetic algorithm technique is explained and the real number representation of genetic algorithm is modeled. Most of the previous close studies have been performed to optimize two parameters i.e. location and rated value of each device only, while all the possible control parameters of each device including its location are optimized simultaneously in this study. The IEEE 14-bus, 57-bus and 118-bus test systems are utilized during this research to verify the recommended method. The modeling of power systems, FACTS devices and genetic algorithms are performed through MATLAB/PSAT simulation. The power flow analysis and continuation power flow analysis are employed to verify the performance of systems and to determine the collapse point of systems respectively. The results achieved from the simulations manifestly proved that the proposed method is an effective approach for placement of various types of FACTS controllers considering different problems in power system.
format Thesis
author Karami, Mahdi
spellingShingle Karami, Mahdi
Genetic algorithm based method for optimal location placement of flexible ac transmission system devices for voltage profile improvement
author_facet Karami, Mahdi
author_sort Karami, Mahdi
title Genetic algorithm based method for optimal location placement of flexible ac transmission system devices for voltage profile improvement
title_short Genetic algorithm based method for optimal location placement of flexible ac transmission system devices for voltage profile improvement
title_full Genetic algorithm based method for optimal location placement of flexible ac transmission system devices for voltage profile improvement
title_fullStr Genetic algorithm based method for optimal location placement of flexible ac transmission system devices for voltage profile improvement
title_full_unstemmed Genetic algorithm based method for optimal location placement of flexible ac transmission system devices for voltage profile improvement
title_sort genetic algorithm based method for optimal location placement of flexible ac transmission system devices for voltage profile improvement
publishDate 2011
url http://psasir.upm.edu.my/id/eprint/41680/1/FK%202011%20130R.pdf
http://psasir.upm.edu.my/id/eprint/41680/
_version_ 1643833067714904064
score 13.211869

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