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• W4225484889 startingPage "1396" @default.
• W4225484889 abstract "The wind turbines (WTs) present in a wind farm (WF) are subjected to varying wind speeds owing to the wake effect. Additionally, the response of a WF is also affected by the low voltage ride-through (LVRT) characteristic imbibed in each doubly-fed induction generator (DFIG) of WF. Consequently, for deriving an equivalent of a large WF, consideration of wake effect and LVRT are crucial. In this paper, a three-step WF aggregation is proposed. Firstly, various wind scenarios from historical wind data are taken, and the Weibull-based probabilistic and wake effect models are developed. Secondly, WTs’ clusters based on their LVRT activation status are obtained. In the final step, the WTs are aggregated based on the pre-fault wind speed, and a multi-machine dynamic equivalent model is developed. Also, a new collector network transformation method is proposed. Various low voltage cases are simulated on a 40 MW test WF at different wind conditions. A comparison of the responses from the proposed equivalent model and the detailed model of the test WF indicates the efficacy of the proposed multi-machine model. A comparison of the errors in responses confirms the superiority of the proposed model over the previous relevant works." @default.
• W4225484889 created "2022-05-05" @default.
• W4225484889 creator A5018767912 @default.
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• W4225484889 date "2022-07-01" @default.
• W4225484889 modified "2023-10-18" @default.
• W4225484889 title "A Multi-Machine Equivalent Model of a Wind Farm Considering LVRT Characteristic and Wake Effect" @default.
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• W4225484889 doi "https://doi.org/10.1109/tste.2022.3159307" @default.
• W4225484889 hasPublicationYear "2022" @default.
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