This paper presents a current literature review (from the years 2017–2022) on issues related
to the application of power system stabilizers (PSSs) for dam** electromechanical swings …

Attempting to address optimization problems in various scientific disciplines is a
fundamental and significant difficulty requiring optimization. This study presents the …

In this article, an improved variant of the grey wolf optimizer (GWO) named gaze cues
learning-based grey wolf optimizer (GGWO) is proposed. The main intentions are to reduce …

The electrical power system (EPS) has been heavily stressed due to high load demand. It
operates close to the total capacity limits, resulting in voltage instability that can lead to …

The identification of parameters in solar cell models is still a major challenge in photovoltaic
(PV) system simulation and design. Because of its more basic ideas, efficiency, adaptability …

Monkey king evolution (MKE) is a population-based differential evolutionary algorithm in
which the single evolution strategy and the control parameter affect the convergence and the …

The optimal power flow (OPF) is a practical problem in a power system with complex
characteristics such as a large number of control parameters and also multi-modal and non …

Parameter extraction of photovoltaic (PV) models based on measured current–voltage data
plays an important role in the control, simulation, and optimization of PV systems. Despite …

In this paper, an improved version of the particle swarm optimization algorithm is proposed
for the online tuning of power system stabilizers in a standard four-machine two-area power …

This paper proposes an improved salp swarm algorithm (ISSA) as an effective metaheuristic
method for tackling global optimization issues and dam** power system oscillations. In the …