Assessment of influence of grid disturbances on wind turbine DFIG converters

Beniugă, Oana; Leca, Mihai; Beniuga, Razvan

doi:10.1109/icepe.2016.7781427

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…When the turbine is working on the maximum power point, namely λ is the λ opt , C p is the C p,max , and C t is the C t,opt , finally the maximum power point tracking (MPPT) technique is implemented. The aerodynamic torque extracted by the turbine is then given by [6] The electromagnetic torque T em expression in the dq frame is as follows [4]:…”

Section: Wind Energy Conversion System Modelingmentioning

confidence: 99%

“…In wind turbines based on back-to-back converters, using the crowbar circuit is the most popular and reliable scheme to relieve the problems of overcurrent in rotor side converter (RSC) and overvoltage at DC-link during a severe voltage dip [3]. In DFIG-based wind turbines, the crowbar is usually installed at the rotor terminals, and prevents damage to the rotor side converter [4,5]. When a severe voltage dip occurs, the crowbar is activated, the rotor side converter is deactivated and the entire rotor current is diverted to the crowbar circuit, therefore the rotor side converter is protected against overcurrent.…”

Section: Introductionmentioning

confidence: 99%

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Control and Simulation Research for LVRT of Wind Energy Generation

Peng¹,

Duan²,

Liu³

2017

Proceedings of the 2017 6th International Conference on Energy and Environmental Protection (ICEEP 2017)

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Abstract. For DFIG-based variable speed wind turbines, the crowbar circuit is commonly used as protection method against sudden drop of the grid voltage caused by short circuit fault during the period of LVRT. And vector control for DFIG is presented in detail. Finally, the simulation results verify that crowbar circuit and the control strategy are effective and prove that crowbar control strategy can limit the overcurrent in the rotor side converter and the overvoltage of the DC bus.

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Section: Wind Energy Conversion System Modelingmentioning

confidence: 99%