The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Application of hybrid crow-search with particle swarm optimization algorithm in AGC studies of multi-area systems
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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“Additionally, there are some hybrid approaches such as PSO-BFA [20], hybrid crow search (hCA) combined with PSO [21], and others [22][23][24].”
From A Comprehensive Review on the Role of Artificial Intelligence in Power System Stability, Control, and Protection: Insights and Future Directions (2024) · cites this paper as [20]
Citations
Cites
Frequency support from modular multilevel converter based multi-terminal HVDC schemes
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“Authors in [5, 6] presented the benefits of AC-HVDC tie-lines.”
Background
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Cited by
Sorted by citations
Alhamrouni, I., Abdul Kahar, N. H., Salem, M., Swadi, M., Zahroui, Y., Kadhim, D. J., Mohamed, F. A., & Alhuyi Nazari, M. (2024) · Applied Sciences · doi:10.3390/app14146214 · Cited by 217
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
- Publisher
- Taru Publications
- 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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- The paper
- Babu, N. R., Bhagat, S. K., Saikia, L. C., & Chiranjeevi, T. (2020). Application of hybrid crow-search with particle swarm optimization algorithm in AGC studies of multi-area systems. Journal of Discrete Mathematical Sciences and Cryptography. https://doi.org/10.1080/09720529.2020.1728896
