Sotdhipong Phichaisawat. Determination of transfer capability point by using adaptive particle swarm optimization. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2020.
Determination of transfer capability point by using adaptive particle swarm optimization
Abstract:
In the conventional power system, available transfer
capability represents the critical parameter presenting the
potential of a analyzed load-demand pair in power systems. The
method of available transfer capability can visualize a set space
of feasible boundary represented by loading points. This paper
improves available transfer capability (ATC) controller by
adaptive particle swarm optimization (PSO) propose to
determine the system parameter with deliberation a visual
region points. The PSO illustrates a space of region in feasible
dots on the loading zone. Therefore, the point of PSO all the time
varies in agreement with the system variables. These feasible
points obtained by PSO method illustrate the strain of executing
points and the constraint of command system. This paper also
determines the period of load demand when the examined
variables are defined to be ignore. Finally, the aimed method
can be applied to trial the large power system, and then consider
to the highest loading points.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2020
Modified:
2026-01-13
Issued:
2026-01-13
บทความ/Article
application/pdf
BibliograpyCitation :
In Electrical Engineering Academic Association (Thailand). 2020 8th International Electrical Engineering Congress (iEECON 2020) (pp.1-4). Red Hook, NY : Institute of Electrical and Electronics Engineers