A novel approach of PSS optimal parameter tuning in a multi-area power system using hybrid butterfly optimization algorithm- particle swarm optimization-Reference-Cited by-同舟云学术

A novel approach of PSS optimal parameter tuning in a multi-area power system using hybrid butterfly optimization algorithm- particle swarm optimization

Published:2022-05-27 Issue:5 Volume:13 Page:2619-2628
ISSN:0975-6809
Container-title:International Journal of System Assurance Engineering and Management
language:en
Short-container-title:Int J Syst Assur Eng Manag

Author:

Gude Murali Krishna^ORCID,Salma Umme

Publisher

Springer Science and Business Media LLC

Subject

Strategy and Management,Safety, Risk, Reliability and Quality

Link

https://link.springer.com/content/pdf/10.1007/s13198-022-01678-2.pdf

Reference24 articles.

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3. Basu M, Ghosh A, Das A, Sanyal A (2021) Methods adopted for detailed modelling of alternators in state space for stability analysis. J Inst Eng India Ser B 102(1):87–98. https://doi.org/10.1007/s40031-020-00513-1

4. Bizon N, Raceanu M, Koudoumas E, Marinoiu A, Karapidakis E, Carcadea E (2020) Renewable/fuel cell hybrid power system operation using two search controllers of the optimal power needed on the DC bus. Energies 13(22):6111. https://doi.org/10.3390/en13226111

5. Devarapalli R, Bhattacharyya B (2021a) A novel hybrid AGWO-PSO algorithm in mitigation of power network oscillations with STATCOM. Numer Algebra Control Optim 11(4):579. https://doi.org/10.3934/naco.2020057

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