Multi-facts devices installation for loss minimization and techno-economic impact assessment based on computational intelligence technique / Siti Amely Jumaat
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...
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| Format: | Book Section |
| Language: | English |
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Institute of Graduate Studies, UiTM
2015
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| Online Access: | http://ir.uitm.edu.my/id/eprint/19365/1/ABS_SITI%20AMELY%20JUMAAT%20TDRA%20VOL%207%20IGS%2015.pdf http://ir.uitm.edu.my/id/eprint/19365/ |
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| Summary: | 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 singleunit 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… |
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