LAPSE:2023.21639v1
Published Article
LAPSE:2023.21639v1
Time Domain Particle Swarm Optimization of PI Controllers for Bidirectional VSC HVDC Light System
Syed F Faisal, Abdul R Beig, Sunil Thomas
March 22, 2023
Abstract
This paper proposes a novel technique to tune the PI controllers of a bidirectional HVDC light system by embedding particle swarm optimization directly in the Simulink model in the design procedure. The HVDC light system comprises of a rectifier station, a DC link, and an inverter station. Each converter station requires four PI controllers to be tuned in the decoupled d-q vector control scheme, and with the bidirectional HVDC system, the required PI controllers are doubled. Tuning these many controllers using conventional methods is a challenging task, especially if the parameters of the converter stations are different. A novel approach to tune the PI controllers for a bidirectional HVDC system using the time-domain performance indices is presented in this paper. The time-domain performance indices are optimized using the particle swarm optimization (PSO) algorithm. The results of the proposed tuning method show that the proposed method not only gives superior results but also is less cumbersome to tune compared to conventional methods like modulus optimum (MO).
Keywords
bidirectional HVDC, decoupled d-q vector control, HVDC light system, modulus optimum (MO), particle swarm optimization (PSO), PI tuning, time-domain performance indices, voltage source converter (VSC)
Suggested Citation
Faisal SF, Beig AR, Thomas S. Time Domain Particle Swarm Optimization of PI Controllers for Bidirectional VSC HVDC Light System. (2023). LAPSE:2023.21639v1
Author Affiliations
Faisal SF: Advanced Power and Energy Center, (EE & CS), Khalifa University of Science and Technology, Abu Dhabi P.O. Box 2533, UAE
Beig AR: Advanced Power and Energy Center, (EE & CS), Khalifa University of Science and Technology, Abu Dhabi P.O. Box 2533, UAE [ORCID]
Thomas S: Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science, Pilani, Dubai 345055, UAE
Journal Name
Energies
Volume
13
Issue
4
Article Number
E866
Year
2020
Publication Date
2020-02-17
ISSN
1996-1073
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Original Submission
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PII: en13040866, Publication Type: Journal Article
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LAPSE:2023.21639v1
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https://doi.org/10.3390/en13040866
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