Abstract Sine Cosine Algorithm (SCA) is a recent meta-heuristic algorithm inspired by the
proprieties of trigonometric sine and cosine functions. Since its introduction by Mirjalili in …

Metaheuristic algorithms based on intelligent rules have been successfully developed and
applied to solve many optimization areas over the past few decades. The sine–cosine …

Generation of electricity comes with the emission of toxic gases into the atmosphere by the
fossil fueled generators. Along with the promotion in the utilization of renewable energy …

Accurate design of the power system stabilizer (PSS) models is a crucial issue due to their
significant impact on the stability of power system operation. However, identifying the …

A novel hybrid algorithm developed by merging atom search optimization and simulated
annealing algorithms is presented. The constructed improved algorithm, named as improved …

Uncertainty in the operating condition deviation from the normal equilibrium point in the
transmission level of the power system is being an important problem due to the increasing …

The conception of electromechanical oscillations initiates in the power network when there
is an installation of the generator in parallel with the existent one. Further, the …

This paper proposes a novel hybrid technique called enhanced grey wolf optimization‐sine
cosine algorithm‐cuckoo search (EGWO‐SCA‐CS) algorithm to improve the electrical power …

Power systems exhibit nonlinearity. causing dynamic instability and complex power
oscillations. This research proposes an innovative strategy using the Novel Bat Algorithm …

This work discusses the production of a novel hybrid algorithm by combining the gorilla
troops optimizer (GTO) with the gradient-based optimizers (GBO) approach. The novel …