Wind farm dynamic models assessment under weak grid conditions

Wind farm dynamic models assessment under weak grid conditions

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Large-scale integration of wind power is one of the main challenges in today's power systems. Therefore, there is an increased importance to generate more accurate yet simplified wind farm (WF) models. The current modelling techniques of WFs depend on aggregationto reduce the degree of model complexity and computational time. The two techniques of aggregation are adopted in the literature: fully aggregated model (FAM) and multi-machine model where the WF is divided into a number of aggregated models for different sections of the WF. A small-signal model based comparison between the two techniques of aggregation is introduced in this study. The aim is to investigate the impacts of the full aggregation of the wind turbines on the overall system critical modes under weak grid conditions as compared to the multi-machine modelling approach. The comparison is done for different operating conditions (output active and reactive power) of the WF and also under different short-circuit ratios to reveal to what extent the FAM can be relied on to provide an accurate response of large WFs.


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