Cited by 26Frequency Control in Power SystemsAdvanced Control Systems DesignMetaheuristic Optimization Algorithms Research

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Application of hybrid crow-search with particle swarm optimization algorithm in AGC studies of multi-area systems

Babu, Naladi Ram, Bhagat, Sanjeev Kumar, Saikia, Lalit Chandra, Chiranjeevi, Tirumalasetty·2020·Journal of Discrete Mathematical Sciences and Cryptography

Abstract

This article presents the hybridization of crow-search algorithm with particle swarm optimization (hCA-PSO) in automatic generation control (AGC) studies. A new controller termed by integral-minus-tilt-derivative-control with filter (I-TDN) is proposed and its dynamics are compared with PIDN and TIDN. The proposed controller parameters are optimized by the proposed hCA-PSO technique and are compared with CA, PSO algorithms and are found to be better in terms of settling time, oscillation magnitude. Moreover, the integration of HVDC tie-lines improves system dynamics over AC tie-line. Further, sensitivity analysis suggests that system dynamics with I-TDN controller optimized by hCA- PSO technique obtained at diverse and nominal conditions are robust.

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Crossref · 10.1080/09720529.2020.1728896

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Research works printed but not linked: 20

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Metadata

Authors
Babu, N. R., Bhagat, S. K., Saikia, L. C., & Chiranjeevi, T.
Affiliations
National Institute Of Technology Silchar (IN)
Corresponding author
Babu, Naladi Ram
Venue
Journal of Discrete Mathematical Sciences and Cryptography
Published
2020-02-17
Volume
23
Issue
2
Pages
429-439
ISSN
  • 0972-0529 (ISSN-L)
  • 2169-0065
OpenAlex
W3025101888
Cited by
26
References
1
Citations by year
2025: 3 · 2024: 2 · 2023: 3 · 2022: 5 · 2021: 10 · 2020: 3
FWCI
1.80
Type
journal article
Language
en
Open access
closed
Locations
Journal of Discrete Mathematical Sciences and Cryptography (publishedVersion)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Frequency Control in Power Systems
  • Physical Sciences › Engineering › Control and Systems Engineering › Advanced Control Systems Design
  • Physical Sciences › Computer Science › Artificial Intelligence › Metaheuristic Optimization Algorithms Research
Keywords
automatic generation control, crow search algorithm, particle swarm optimization, hybrid metaheuristic, controller tuning, interconnected power systems, HVDC tie-line, sensitivity analysis, settling time

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