Abstract In power systems, Low Frequency Oscillations (LFO) in the range of 0.1–2.5 Hz
have been solved through Power System Stabilizer (PSS). Proportional Integral Derivative …

Genetic Algorithms (GAs) are the most popular used methods of the evolutionary algorithm
family. GA effectiveness highly depends on the choice of the search space range for each …

Purpose The problem of stability is generally caused by insufficient dam** of
electromechanical oscillations (EMOs). Power system stabilizers (PSSs) are the most …

Particle swarm optimization (PSO) algorithm is a recently developed swarm intelligent
optimization technology. It is originated from the artificial life and evolutionary theory, where …

In this paper an isolated microgrid comprising both controllable and uncontrollable sources,
such as solar, wind, diesel generator, fuel cell, aqua-electrolyser and hydrogen storage is …

A biogeography-based optimization (BBO) algorithm was used for tuning the parameters of
a proportional integral derivative (PID) controller-based power system stabilizer (PSS). The …

In this paper an isolated microgrid in a multi-agent based infrastructure is studied. Each DG
unit is considered as an agent and is modeled as an inverter based generation unit. Firstly …

This study proposes a feedback linearisation based on the back-step** method with
simple implementation and unique design process to design a non-linear controller with a …

This paper presents a new method to design a Power System Stabilizer (PSS) using Smart
Bacteria Foraging Algorithm (SBFA). The proposed algorithm can conduct bacteria at a …

In a practical power system, the synchronous generators should cope with changes in both
real and reactive power demand. In general, stabilization of real power variations is possible …