2019 22nd International Conference on Electrical Machines and Systems (ICEMS) 2019
DOI: 10.1109/icems.2019.8922399
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Implementation of Multi-objective Particle Swarm Optimization in Distribution Network for High-efficiency Allocation and Sizing of SAPFs

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Cited by 8 publications
(3 citation statements)
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“…The largest group of articles in the field of APF distribution optimization concerns the use of the PSO (particle swarm optimization) algorithm [116,[143][144][145][146][147]. This algorithm was developed on the basis of herd behavior (e.g., birds, fish).…”
Section: Metaheuristic Methodsmentioning
confidence: 99%
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“…The largest group of articles in the field of APF distribution optimization concerns the use of the PSO (particle swarm optimization) algorithm [116,[143][144][145][146][147]. This algorithm was developed on the basis of herd behavior (e.g., birds, fish).…”
Section: Metaheuristic Methodsmentioning
confidence: 99%
“…Therefore, this is not a typical approach to the placement of APF devices in a power supply system, as these systems typically do not have the possibility of global control over the generated reference currents. In the last article by this group [147], the authors proposed a modification of the PSO algorithm that takes into account many objective functions, called MOPSO (multi objective particle swarm optimization). They also presented exemplary optimization results for an IEEE 18-node system, using both the PSO and MOPSO algorithms.…”
Section: Metaheuristic Methodsmentioning
confidence: 99%
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