A Nature-Inspired Metaheuristic Swarm Based Optimization Technique BFOA Based Optimal Controller for Damping of SSR

In the proposed paper, an innovative method for damping of sub-synchronous resonance in a series capacitor compensated line has been investigated. A nature-inspired metaheuristic swarm based optimization technique BFOA is applied over the optimal control theory for damping and mitigation of sub-synchronous oscillations, with a FACT controller (SVS) connected at the midpoint of a series capacitor compensated network. The analysis has been carried out using IEEE first benchmark model and the entire test system has been simulated using MATLAB software, the simulation results include the eigenvalue analysis which explicitly shows that the application of BFOA on the optimal control theory, the problem of SSR is effectively minimized. Further the time domain analysis for the response curve of rotor angle (Mech-Delta 5) also shows the effectiveness of the proposed BFOA based optimal controller. All the time domain parameters viz., rise time, settling time, overshoot, and peak time is improved by the application of optimal controller which is further improved by the application of BFOA over optimal controller.