Robust Design of Power System Stabilizers Using Improved Harris Hawk Optimizer for Interconnected Power System release_lyyhkknh3rfjbjq44twpihy42y

by Lakhdar Chaib, Abdelghani Choucha, Salem Arif, Hatim G. Zaini, Attia El-Fergany, Sherif Ghoneim

Published in Sustainability by MDPI AG.

2021   Volume 13, Issue 21, p11776

Abstract

In this present work, a new metaheuristic method called a Harris hawk optimizer (HHO) is applied to achieve the optimal design of a power system stabilizer (PSS) in a multimachine power system. Several well-known chaos maps are incorporated into the HHO to form a chaotic HHO (CHHO) with the aim of improving static operators and enhancing global searching. To assess the CHHO performance, exhaustive comparison studies are made between anticipated chaotic maps in handling unconstrained mathematical problems. At this moment, The PSS design problem over a wide permutation of loading conditions is formulated as a non-linear optimization problem. The adopted objective function defines the damping ratio of lightly damped electromechanical modes subject to a set of constraints. The best PSS parameters are generated by the proposed CHHO. The applicability of the proposed CHHO based on PSS is examined and demonstrated on a 10-generator and 39-bus multimachine power system model. The performance assessments of the CHHO results are realized by a comparative study with HHO through extensive simulations along with further eigenvalue analysis to prove its efficacy. The simulation results convincingly demonstrate the high performance of the proposed CHHO-PSS under various operating scenarios.
In application/xml+jats format

Archived Files and Locations

application/pdf  4.1 MB
file_3aprwbgoc5dmnegov6ik4oy3tm
mdpi-res.com (publisher)
web.archive.org (webarchive)
Read Archived PDF
Preserved and Accessible
Type  article-journal
Stage   published
Date   2021-10-25
Language   en ?
Container Metadata
Open Access Publication
In DOAJ
In ISSN ROAD
In Keepers Registry
ISSN-L:  2071-1050
Work Entity
access all versions, variants, and formats of this works (eg, pre-prints)
Catalog Record
Revision: f4008bcc-76f2-445a-9e70-ba34300c9bf2
API URL: JSON