Enhancement of voltage security by MW-generation rescheduling based on sensitivities using black hole

This paper presents a new methodology for improving voltage stability under stressed condition by active power rescheduling accounting inequality constraints. Whenever the reactive power control variables are exhausted, then only active power control variables are used to enhance the voltage profile as well as to obtain desired voltage stability margin. MW-generation rescheduling using the algorithm increases considerable voltage security margin and load bus voltage as well. The objective is to optimize minimum eigenvalue of load flow Jacobian which indicates the proximity indicator of present operating point to saddle node bifurcation point. The minimum eigenvalue of load flow Jacobian has been optimized using Black Hole (BH) algorithm. Proposed methodology has been implemented on IEEE 14-bus test system. Performance of the developed algorithm are compared based on statistical inference of the fitness function with, Teaching Learning Based Optimization (TLBO) and Particle Swarm Optimization (PSO) techniques. The simulation results are good enough to accept and validate the proposed methodology.