scispace - formally typeset
A

Amin Safari

Researcher at Azarbaijan Shahid Madani University

Publications -  130
Citations -  1943

Amin Safari is an academic researcher from Azarbaijan Shahid Madani University. The author has contributed to research in topics: Electric power system & Particle swarm optimization. The author has an hindex of 17, co-authored 115 publications receiving 1374 citations. Previous affiliations of Amin Safari include Islamic Azad University & University of Zanjan.

Papers
More filters
Journal ArticleDOI

PSS and TCSC damping controller coordinated design using PSO in multi-machine power system

TL;DR: In this paper, the authors developed a new design procedure for simultaneous coordinated designing of the thyristor controlled series capacitor (TCSC) damping controller and power system stabilizer (PSS) in multi-machine power system.
Journal ArticleDOI

A robust PSSs design using PSO in a multi-machine environment

TL;DR: In this article, a multi-objective design of multi-machine power system stabilizers (PSSs) using particle swarm optimization (PSO) is proposed, where stabilizers are tuned to simultaneously shift the lightly damped and undamped electromechanical modes of all machines to a prescribed zone in the s-plane.
Journal ArticleDOI

Iteration particle swarm optimization procedure for economic load dispatch with generator constraints

TL;DR: In this paper, iteration particle swarm optimization (IPSO) has been applied to determine the feasible optimal solution of the economic load dispatch (ELD) problem considering various generator constraints and numerical results affirmed the robustness and proficiency of proposed approach over other existing methods.
Journal ArticleDOI

A PSO based unified power flow controller for damping of power system oscillations

TL;DR: In this paper, the problem of robustly UPFC based damping controller is formulated as an optimization problem according to the eigenvalue-based multiobjective function comprising the damping factor, and the damp ratio of the undamped electromechanical modes to be solved using particle swarm optimization technique (PSO) that has a strong ability to find the most optimistic results.
Journal ArticleDOI

Multi-machine power system stabilizers design using chaotic optimization algorithm

TL;DR: In this article, a multiobjective design of the multi-machine power system stabilizers (PSSs) using chaotic optimization algorithm (COA) is proposed, which has the features of easy implementation, short execution time and robust mechanisms of escaping from the local optimum, is a promising tool for the engineering applications.