Load Feasible Region Determination by Using Adaptive Particle Swarm Optimization

The proposed method determines points in a feasible region by using an adaptive particle swarm optimization in order to solve the boundary region which represented by the obtained points. This method is also used for calculating a large-scale power system. In any contingency case, it will be illustrated with an x-axis and y-axis space which is given by the power flow analysis. In addition, this presented approach in this paper not only demonstrates the optimal points through the boundary tracing method of the feasible region but also presents the boundary points obtained the particle swarm optimization. Moreover, decreasing loss function and operational physical constraints such as voltage level, equipment specification are all simultaneously considered. The points in the feasible region are also determined the boundary points which a point happening a contingency in the power system is already taken into account and the stability of load demand is ascertained into the normal operation, i.e. the power system can be run without violation. These feasible points regulate the actions of the system and the robustness of the operating points. Finally, the proposed method is evaluated on the test system to examine the impact of system parameters relevant to generation and consumption.