- Title
- Model Predictive Control for Wind Turbines to Enhance Low Voltage Ride Through Capability
- Creator
- Nguyen, Phuong T. H.; Middleton, Richard H.; Stüdli, Sonja
- Relation
- 2021 IEEE PES Innovative Smart Grid Technologies - Asia, ISGT Asia 2021. Proceedings of 2021 IEEE PES Innovative Smart Grid Technologies - Asia, ISGT Asia 2021 (Brisbane, Australia 5-8 December, 2021) p. 1-5
- Publisher Link
- http://dx.doi.org/10.1109/ISGTASIA49270.2021.9715684
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- conference paper
- Date
- 2021
- Description
- The paper investigates low voltage ride through (LVRT) capability of a permanent magnet synchronous generator (PMSG) wind turbine system by proposing a control methodology. Model predictive control strategy is employed to deal with the nonlinear relationship between the generator rotor speed and the DC-link voltage in the turbine back-to-back converter. The LVRT capability of the wind turbine is enhanced when the machine-side converter controls the DC-link voltage and a lower voltage is compensated by the kinetic energy stored in the wind turbine's inertia. The proposed methodology is applied on a detailed PMSG wind turbine model. Then, the closed-loop response performance of the design based on the proposed control strategy is compared to that of a conventional PI control design via simulation tests on the 2 MW PMSG wind turbine model.
- Subject
- DC-link voltage; low voltage ride through; model predictive control; permanent magnet synchronous generator; wind energy conversion system; SDG 14; Sustainable Development Goals
- Identifier
- http://hdl.handle.net/1959.13/1467835
- Identifier
- uon:47917
- Identifier
- ISBN:9781665433396
- Language
- eng
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