Robust Parameters Tuning of Different Power System Stabilizers Using a Quantum Artificial Gorilla Troops Optimizer-Reference-Cited by-同舟云学术

Robust Parameters Tuning of Different Power System Stabilizers Using a Quantum Artificial Gorilla Troops Optimizer

Published:2022 Issue: Volume:10 Page:82560-82579
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

El-Dabah Mahmoud A.¹^ORCID,Hassan Mohamed H.²^ORCID,Kamel Salah²^ORCID,Zawbaa Hossam M.³^ORCID

Affiliation:

1. Electrical Engineering Department, Faculty of Engineering, Al-Azhar University, Cairo, Egypt

2. Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan, Egypt

3. Faculty of Computers and Artificial Intelligence, Beni-Suef University, Beni Suef, Egypt

Funder

National Research and Development Agency of Chile

European Union’s Horizon 2020 Research and Enterprise Ireland under Marie Skłodowska-Curie

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09847241.pdf?arnumber=9847241

Reference60 articles.

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2. Robust Design of Power System Stabilizers Using Improved Harris Hawk Optimizer for Interconnected Power System

3. Robust Design of Dual-Input Power System Stabilizer Using Chaotic JAYA Algorithm

4. Optimal tuning and comparison of different power system stabilizers using different performance Indices via Jaya algorithm;shayeghi;Proc Int Conf Sci Comput (CSC),2016

5. PSS design for a single-machine power system using honey bee mating optimization;shayeghi;Proc Int Conf Artif Intell (ICAI),2011

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