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

Ana Susperregui, Juan Manuel Herrero, Miren Itsaso Martinez, Gerardo Tapia-Otaegui and Xavier Blasco
Additional contact information
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

Energies, 2019, vol. 12, issue 19, 1-26

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.

Keywords: decision making; design concept; doubly-fed induction generator; grid-side converter; harmonic distortion; multi-objective optimisation; second-order sliding-mode control; tuning; unbalanced voltage; wind power generation (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: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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