Optimizing TCSC configuration via genetic algorithm for ATC enhancement

Flexible AC transmission systems (FACTS) are a viable way to improve power system performance because of the rapid advancement of power electronic technology. Improvement of dynamic and transient stability, voltage control, voltage stability improvement, power factor correction, enhancement of `power profile, an increase in the transmission line’s power transfer capabilities, and loss alleviation are all FACTS device applications in power system networks. But, optimal placement and sizing of the FACTS devices may cause the system to attain the objective at a reasonable cost. Hence, to find out the optimal location and compensation level of the FACTS device, an improved version of the Genetic algorithm (GA) had been introduced in the preceding version of this paper. Genetic Algorithm with Dual Mutation Probability (GADMP) was the term given to the improved version of GA since it included dual probabilities for the mutation operator. To ensure a fair comparison between the algorithms on FACTS localization and sizing, this paper subjects the GADMP and Traditional GA (TGA) to rigorous experimental investigation. Simulation experiments have been performed using three benchmark bus systems, IEEE 24 RTS, IEEE 30, and IEEE 57 to verify the performance of the adopted scheme.