Time Domain Particle Swarm Optimization of PI Controllers for Bidirectional VSC HVDC Light System
Syed F Faisal,
Abdul R Beig and
Sunil Thomas
Additional contact information
Syed F Faisal: Advanced Power and Energy Center, (EE & CS), Khalifa University of Science and Technology, Abu Dhabi P.O. Box 2533, UAE
Abdul R Beig: Advanced Power and Energy Center, (EE & CS), Khalifa University of Science and Technology, Abu Dhabi P.O. Box 2533, UAE
Sunil Thomas: Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science, Pilani, Dubai 345055, UAE
Energies, 2020, vol. 13, issue 4, 1-15
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: voltage source converter (VSC); HVDC light system; bidirectional HVDC; decoupled d-q vector control; PI tuning; time-domain performance indices; particle swarm optimization (PSO); modulus optimum (MO) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:4:p:866-:d:321391
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