Revamped Sine Cosine Algorithm Centered Optimization of System Stabilizers and Oscillation Dampers for Wind Penetrated Power System

The mapping of damping ratios and factors by Sine-Cosine Algorithm (SCA) is significant in the analysis low frequency oscillations generated an integrated network having multiple conventional renewable energy sources. Multiple random models with unknown search spaces uncertain conditions constraints, which incorporate fluctuation solutions towards or outwards at initial stage for solving real-time problems can be analyzed a revamped sine-cosine algorithm (RSCA) model. In this paper, SCA has been to explore stability threshold stable system under dynamic nonlinear operating conditions. It achieved infusion suitable mathematical functions optimizing parameters Power System Stabilizers (PSSs) Doubly Fed Induction Generator (DFIG) system-based oscillation dampers enhance Small Signal Stability power systems through effective low-frequency (LFOs). These LFOs weaken generation demand management cycle when faces like intermittent sources, overloading conditions, impulsive faults etc. small-signal transient studies various disturbances different are investigated, performance proposed RSCA optimized parameter tuning stabilizers on modified benchmarking wind generators using MATLAB Ⓡ simulations. efficiency robustness verified selective critical line outages, load uncertainties prove that modes damped elevated positive ratio rapid settling time reduced oscillations. application shows created improved 0.22 increase 20% loading 50% case study Two Area Four Machine System.