Dragonfly Algorithm for Robust Tuning of Power System Stabilizers in Multimachine Networks

Abstract

Low-frequency oscillation (LFO) is a significant problem for Multi-machine power system (MPS) networks. It makes the power system networks unstable. In this article, a new Power system stabilizer (PSS) design method is demonstrated using the Dragonfly algorithm (DA). To enhance system damping, a damping ratio-based objective function is used, and a typical lead-lag type PSS (CPSS) structure is considered. In this case, the algorithm's ability to provide the best PSS design regardless of the starting guess demonstrates its robustness. This method is tested on two separate multi-machine networks exposed to a 3-Φ fault, and compared with two well-known optimization algorithms called PSO and BSA. The optimization results show that the DA technique provides better system damping than PSO and BSA.