Abstract:
This paper investigates the improvement of oscillatory stability in large scale power systems by optimizing Power System Stabilizer (PSS) parameters using the Multi-Verse Optimization (MVO) Algorithm. The PSS parameters are designed to utilize a multi-task eigenvalues function for concurrently manages the damping ratio & the real part of eigenvalues, aiming to shift unstable and/or weakly mechanical modes to a designated D-shape area within the s-plane. This algorithm is utilized on the IEEE-68, which consists of 16 machines and 68 buses. The effectiveness of MVO is evaluated through dynamic simulations, eigenvalue analysis, and performance error indicators across several operating scenarios under extreme conditions of critical turbulence, and compared to results derived from the Genetic Algorithm (GA). The solutions illustratie that the virtue of damping and overall dynamic stability of the suggested MVO-PSS is better than GA-PSS in alleviating low-frequency oscillations
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