Design of STATCOM Damping Controller Using Teaching Learning Based Optimization

In this paper, power system dynamic stability was enhanced by damping electromechanical oscillations using STATCOM based supplementary power oscillation damping (POD) controller. The non-linear model of the system was derived and then linearized to derive the system closed loop state matrix for eigenvalue analysis. The supplementary POD controller for STATCOM was designed and formulated as an optimization problem and the controller parameters were optimized using teaching-learning-based optimization (TLBO) algorithm. The proposed POD controller performance was verified in time domain simulation. The result shows that the proposed STATCOM POD controller was effective over different operating conditions in enhancing the dynamic stability of power system by damping electromechanical power system oscillations. The TLBO was also compared with other heuristics optimization techniques to validate its superiority.