Identification Method of Fault Ride-Through Electromagnetic Transient Model for Large-Scale Off-Shore Wind Turbines

Shichao WANG , Haohan CUI , Yahao CHEN , Pupu CHAO , Xiaoming JIN , Weixing LI

›› 2023, Vol. 17 ›› Issue (10) : 123 -132.

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›› 2023, Vol. 17 ›› Issue (10) : 123 -132. DOI: 10.13648/j.cnki.issn1674-0629.2023.10.013
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Identification Method of Fault Ride-Through Electromagnetic Transient Model for Large-Scale Off-Shore Wind Turbines

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Abstract

Existing electromagnetic transient modeling methods are mostly aimed at the simulation of small-capacity units under typical voltage sag conditions, and rarely take the considerations of comprehensive simulation and verification of different voltage disturbances at various operating points simultaneously. Based on the "black box" model of a certain type of large-scale wind turbines, the white-box electromagnetic transient modeling method is proposed to obtain main circuit identifications, control circuit identifications and model verifications. For the main circuit, a main circuit topology and parameters of a large-capacity full-power wind turbine, consisting of a typical half direct-drive rotary system, a neutral-point clamped parallel three-level converter and a protection circuit module are identified. For the control circuit, the neutral point potential balance controller and H/LVRT controllers and parameters are identified. Through the comparison with the H/LVRT response characteristics of actual wind turbine of different voltage sags and rises at various operating points, it is found that they are consistent with actural wind turbine, proving the effectiveness of the proposed modeling method.

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large-scale offshore wind turbine / model verification / fault ride-through / electromagnetic transient modeling

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Shichao WANG,Haohan CUI,Yahao CHEN,Pupu CHAO,Xiaoming JIN,Weixing LI. Identification Method of Fault Ride-Through Electromagnetic Transient Model for Large-Scale Off-Shore Wind Turbines. 2023, 17(10): 123-132 DOI:10.13648/j.cnki.issn1674-0629.2023.10.013

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the Project of China Energy Engineering Group Guangdong Electric Power Design Institute Co., Ltd(CG-2022-K-023)

the National Natural Science Foundation of China(U22B20109)

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