A hybrid BFOA-MOL approach for FACTS-based damping controller design using modified local input signal

A hybrid Bacteria Foraging Optimization Algorithm and Many Optimization Liaisons (hBFOA-MOL) is employed in this paper to design a Flexible Ac Transmission Systems (FACTS)-based damping controller for power system stability improvement. The input signal to the FACTS-based damping controller is derived from the locally measurable line active power. The design problem of the proposed controller is formulated as an optimization problem and hBFOA-MOL algorithm is employed to search for the optimal controller parameters. At the outset, this concept is applied to a Static Synchronous Series Compensator (SSSC) connected in a single-machine infinite bus (SMIB) power system and then extended to a two-area four-machine power system. The performances of the proposed controllers are evaluated in SMIB and multi-machine power system subjected to various severe disturbances. To show the effectiveness and robustness of the proposed design approach, simulation results are presented and compared with both local and remote signals. It is observed that the proposed controller with modified local input signal exhibits a superior damping performance in comparison to both remote and local input signals.