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.