For over two decades Neural Network (NN) has been applied to power system monitoring
and control. Conventional controllers suffer from certain limitations which NN as an Artificial …

In this article, a new methodology based on fuzzy proportional‐integral‐derivative (PID)
controller is proposed to damp low frequency oscillation in multimachine power system …

This paper reviews new approaches in modern research using Artificial Intelligent (AI)
techniques to develop power system stabilizer (PSS). These techniques are Artificial Neural …

A honeybee mating optimization technique is used to tune the power system stabilizer (PSS)
parameters and find optimal location of PSSs in this article. The PSS parameters and …

This paper presents a novel Fuzzy Gravitational Search Algorithm (FGSA) for optimal design
of multimachine power system stabilizers (PSSs). The FGSA technique is characterized as …

Power system stabilizers (PSSs) are the most well known and efficient devices to damp the
power system oscillations caused by interruptions. Low frequency oscillation problems are …

In this paper, fuzzy logic-based power system stabilizer (FPSS) is designed to have effective
damping. As to achieve impressive performance of a controlled plant, the rule base/fuzzy …

In time-delay control systems, the observed information is naturally related to a past instant
and this delayed information signal will usually cause unsatisfactory results. This study deals …

Power systems are very large and complex, it can be influenced by many unexpected events
this makes Power system optimization problems difficult to solve, hence methods for solving …

This paper presents a design of FPSS using hybrid GA and PSO to damp low frequency
oscillation in multi-machine power system where the parameters of proposed controller are …