Multi-facts devices installation for loss minimization and techno-economic impact assessment using EPSO approach

This thesis presents a new meta-heuristic approach technique for optimal location and sizing of multi-unit Flexible Alternating Currents System (FACTS) device installation using single- and multi-objective problems. It also considers techno-economic impact in the system. In this research, the...

Full description

Saved in:

Bibliographic Details
Main Author:	Jumaat, Siti Amely
Format:	Thesis
Language:	English
Published:	2015
Subjects:	TK3001-3521 Distribution or transmission of electric power
Online Access:	http://eprints.uthm.edu.my/1747/1/24p%20SITI%20AMELY%20JUMAAT.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uthm-ep.1747
record_format	uketd_dc
spelling	my-uthm-ep.17472021-10-10T04:40:34Z Multi-facts devices installation for loss minimization and techno-economic impact assessment using EPSO approach 2015-01 Jumaat, Siti Amely TK3001-3521 Distribution or transmission of electric power This thesis presents a new meta-heuristic approach technique for optimal location and sizing of multi-unit Flexible Alternating Currents System (FACTS) device installation using single- and multi-objective problems. It also considers techno-economic impact in the system. In this research, the first objective is to develop heuristic technique Single�Objective Particle Swarm Optimization (SOPSO) for optimal location and sizing of single-unit FACTS device installation with loss minimization, voltage monitoring and taking into account the cost of installation in the system. The verification was conducted through comparative studies with Single-Objective Evolutionary Programming (SOEP) and Single-Objective Artificial Immune System (SOAIS) techniques. The effect of weight coefficient, c1 and c2 and the effect of population size of loss minimization are also investigated. The second objective is to determine the location and sizing of multi-unit and multi-type FACTS device installation using SOPSO and SOEP. Consequently, the third objective of this research is to develop a new meta-heuristic technique termed as Evolutionary Particle Swarm Optimization (EPSO) for optimal placement and sizing of multi-unit FACTS device with single-objective problem. Comparative studies with respect to traditional PSO and classical EP techniques indicated that EPSO has its merit in terms of loss minimization. In addition, the cluster formation of FACTS device installation is also derived from the obtained results. The cluster formation of FACTS device installation was derived by looking at how many times (frequency) the load buses are selected for FACTS device installation identified by EPSO, PSO and EP techniques. The fourth objective in this research is to develop a new optimization technique termed as sigma-Multi-Objective EPSO (σ-MOEPSO) technique for optimal location and sizing of FACTS devices installation for multi-objective problem to minimize the transmission loss and cost of installation in power system. Finally, the fifth objective is to assess the techno-economic impact of FACTS device installation in power system. This assessment is performed by using a hybrid Evolutionary Particle Swarm Optimization - Net Present Value (EPSO-NPV) for assessing the impact of FACTS devices installation in duration up to 20 years. Comparative study has been done with Evolutionary Programming - Net Present Value (EP-NPV) technique. It was found that the proposed technique has been able to produce better performance as compared to other techniques and could be beneficial to power system planner in order to perform FACTS devices installation scheme for the minimization of loss and cost in their systems. 2015-01 Thesis http://eprints.uthm.edu.my/1747/ http://eprints.uthm.edu.my/1747/1/24p%20SITI%20AMELY%20JUMAAT.pdf text en public phd doctoral Universiti Teknologi MARA Fakulti Kejuruteraan Elektrik
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English
topic	TK3001-3521 Distribution or transmission of electric power
spellingShingle	TK3001-3521 Distribution or transmission of electric power Jumaat, Siti Amely Multi-facts devices installation for loss minimization and techno-economic impact assessment using EPSO approach
description	This thesis presents a new meta-heuristic approach technique for optimal location and sizing of multi-unit Flexible Alternating Currents System (FACTS) device installation using single- and multi-objective problems. It also considers techno-economic impact in the system. In this research, the first objective is to develop heuristic technique Single�Objective Particle Swarm Optimization (SOPSO) for optimal location and sizing of single-unit FACTS device installation with loss minimization, voltage monitoring and taking into account the cost of installation in the system. The verification was conducted through comparative studies with Single-Objective Evolutionary Programming (SOEP) and Single-Objective Artificial Immune System (SOAIS) techniques. The effect of weight coefficient, c1 and c2 and the effect of population size of loss minimization are also investigated. The second objective is to determine the location and sizing of multi-unit and multi-type FACTS device installation using SOPSO and SOEP. Consequently, the third objective of this research is to develop a new meta-heuristic technique termed as Evolutionary Particle Swarm Optimization (EPSO) for optimal placement and sizing of multi-unit FACTS device with single-objective problem. Comparative studies with respect to traditional PSO and classical EP techniques indicated that EPSO has its merit in terms of loss minimization. In addition, the cluster formation of FACTS device installation is also derived from the obtained results. The cluster formation of FACTS device installation was derived by looking at how many times (frequency) the load buses are selected for FACTS device installation identified by EPSO, PSO and EP techniques. The fourth objective in this research is to develop a new optimization technique termed as sigma-Multi-Objective EPSO (σ-MOEPSO) technique for optimal location and sizing of FACTS devices installation for multi-objective problem to minimize the transmission loss and cost of installation in power system. Finally, the fifth objective is to assess the techno-economic impact of FACTS device installation in power system. This assessment is performed by using a hybrid Evolutionary Particle Swarm Optimization - Net Present Value (EPSO-NPV) for assessing the impact of FACTS devices installation in duration up to 20 years. Comparative study has been done with Evolutionary Programming - Net Present Value (EP-NPV) technique. It was found that the proposed technique has been able to produce better performance as compared to other techniques and could be beneficial to power system planner in order to perform FACTS devices installation scheme for the minimization of loss and cost in their systems.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Jumaat, Siti Amely
author_facet	Jumaat, Siti Amely
author_sort	Jumaat, Siti Amely
title	Multi-facts devices installation for loss minimization and techno-economic impact assessment using EPSO approach
title_short	Multi-facts devices installation for loss minimization and techno-economic impact assessment using EPSO approach
title_full	Multi-facts devices installation for loss minimization and techno-economic impact assessment using EPSO approach
title_fullStr	Multi-facts devices installation for loss minimization and techno-economic impact assessment using EPSO approach
title_full_unstemmed	Multi-facts devices installation for loss minimization and techno-economic impact assessment using EPSO approach
title_sort	multi-facts devices installation for loss minimization and techno-economic impact assessment using epso approach
granting_institution	Universiti Teknologi MARA
granting_department	Fakulti Kejuruteraan Elektrik
publishDate	2015
url	http://eprints.uthm.edu.my/1747/1/24p%20SITI%20AMELY%20JUMAAT.pdf
_version_	1747830861582041088

Multi-facts devices installation for loss minimization and techno-economic impact assessment using EPSO approach

Similar Items