Details

Autor(en) / Beteiligte

• Nguyen, Phuong T.H.
• Middleton, Richard H.
• Studli, Sonja

Titel

Model Predictive Control for Wind Turbines to Enhance Low Voltage Ride Through Capability

Ist Teil von

• 2021 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia), 2021, p.1-5

Ort / Verlag

IEEE

Erscheinungsjahr

2021

Quelle

IEEE Electronic Library Online

Beschreibungen/Notizen

• The paper investigates low voltage ride through (LVRT) capability of a permanent magnet synchronous generator (PMSG) wind turbine system by proposing a control methodol-ogy. 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.