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VSC-HVDC system optimized PI controllers using bacterial foraging algorithm

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Abstract

The strategy of control for high-voltage direct current system on voltage-source converter VSC-HVDC is based on an important element which is PI controller. Because of its simple structure and strong robustness in a wide range of serving conditions, it has been used in the control system in the last few years. Therefore, it is important for the VSC-HVDC system permanent regime to choose proper PI parameters. The use of conventional techniques to find suitable PI parameters creates a number of challenges for the system operators, because it is a difficult process and time consuming. In this paper, a new swarm intelligence algorithm called bacterial foraging optimization is introduced to find the optimal parameters of the PI controller. This approach offers great flexibility for the permanent regime recovery and improves the stability of the VSC-HVDC link compared to conventional techniques. The obtained results are presented to show the effectiveness of the proposed swarm implementation for optimal controller design for VSC-HVDC transmission. MATLAB/Similink simulations are provided to demonstrate the performance of the proposed approach.

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Abbreviations

VSC:

Voltage-source converter

HVDC:

High-voltage direct current

LCC:

Line-commutated converter

CSC:

Current-source converter

IGBTS:

Insulated-gate bipolar transistor

PI:

Proportional and integration

BFO:

Bacterial foraging optimization

PSO:

Particle swarm optimization

References

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Authors and Affiliations

  1. ICEPS Laboratory, Sidi Belabbes University, Sidi Bel Abbès, Algeria

    Lakhdar Mazouz, Sid Ahmed Zidi & Mohamed Khatir

  2. Sciences and Technology Faculty, Djelfa University, Djelfa, Algeria

    Slami Saadi & Tahar Benmessaoud

Authors
  1. Lakhdar Mazouz
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  2. Sid Ahmed Zidi
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  3. Slami Saadi
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  4. Mohamed Khatir
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  5. Tahar Benmessaoud
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Correspondence to Lakhdar Mazouz.

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Mazouz, L., Zidi, S.A., Saadi, S. et al. VSC-HVDC system optimized PI controllers using bacterial foraging algorithm. Electr Eng 97, 205–212 (2015). https://doi.org/10.1007/s00202-014-0328-8

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  • DOI: https://doi.org/10.1007/s00202-014-0328-8

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