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Multi-Objective Optimisation-Based Tuning of Two Second-Order Sliding-Mode Controller Variants for DFIGs Connected to Non-Ideal Grid Voltage

Author

Listed:
  • Ana Susperregui

    (Department of Automatic Control and Systems Engineering, Faculty of Engineering, Gipuzkoa, University of the Basque Country UPV/EHU, Plaza de Europa 1, 20018 Donostia, Spain)

  • Juan Manuel Herrero

    (Instituto Universitario de Automática e Informática Industrial (ai2), Universitat Politècnica de València, Camí de Vera s/n, 46022 València, Spain)

  • Miren Itsaso Martinez

    (Department of Automatic Control and Systems Engineering, Faculty of Engineering, Gipuzkoa, University of the Basque Country UPV/EHU, Plaza de Europa 1, 20018 Donostia, Spain)

  • Gerardo Tapia-Otaegui

    (Department of Automatic Control and Systems Engineering, Faculty of Engineering, Gipuzkoa, University of the Basque Country UPV/EHU, Plaza de Europa 1, 20018 Donostia, Spain)

  • Xavier Blasco

    (Instituto Universitario de Automática e Informática Industrial (ai2), Universitat Politècnica de València, Camí de Vera s/n, 46022 València, Spain)

Abstract

In this paper, a posteriori multi-objective optimisation (MOO) is applied to tune the parameters of a second-order sliding-mode control (2-SMC) scheme commanding the grid-side converter (GSC) of a doubly-fed induction generator (DFIG) subject to unbalanced and harmonically distorted grid voltage. Two variants (i.e., design concepts) of the same 2-SMC algorithm are assessed, which only differ in the format of their switching functions and which contain six and four parameters to be adjusted, respectively. A single set of parameters which stays valid for nine different operating regimes of the DFIG is also sought. As two objectives, related to control performances of grid active and reactive powers, are established for each operating regime, the optimisation process considers 18 objectives simultaneously. A six-parameter set derived in a previous work without applying MOO is taken as reference solution. MOO results reveal that both the six- and four-parameter versions can be tuned to overcome said reference solution in each and every objective, as well as showing that performances comparable to those of the six-parameter variant can be achieved by adopting the four-parameter one. Overall, the experimental results confirm the latter and prove that the performance of the reference parameter set can be significantly improved by using either of the six- or four-parameter versions.

Suggested Citation

  • Ana Susperregui & Juan Manuel Herrero & Miren Itsaso Martinez & Gerardo Tapia-Otaegui & Xavier Blasco, 2019. "Multi-Objective Optimisation-Based Tuning of Two Second-Order Sliding-Mode Controller Variants for DFIGs Connected to Non-Ideal Grid Voltage," Energies, MDPI, vol. 12(19), pages 1-26, October.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:19:p:3782-:d:273782
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    Citations

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    Cited by:

    1. Habib Benbouhenni & Nicu Bizon, 2021. "Advanced Direct Vector Control Method for Optimizing the Operation of a Double-Powered Induction Generator-Based Dual-Rotor Wind Turbine System," Mathematics, MDPI, vol. 9(19), pages 1-36, September.
    2. Ronglin Ma & Yaozhen Han & Weigang Pan, 2021. "Variable-Gain Super-Twisting Sliding Mode Damping Control of Series-Compensated DFIG-Based Wind Power System for SSCI Mitigation," Energies, MDPI, vol. 14(2), pages 1-20, January.
    3. Habib Benbouhenni & Zinelaabidine Boudjema & Nicu Bizon & Phatiphat Thounthong & Noureddine Takorabet, 2022. "Direct Power Control Based on Modified Sliding Mode Controller for a Variable-Speed Multi-Rotor Wind Turbine System Using PWM Strategy," Energies, MDPI, vol. 15(10), pages 1-25, May.

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