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Wind farm dynamic models assessment under weak grid conditions

机译：弱电网条件下的风电场动态模型评估

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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.
机译：风电的大规模集成是当今电力系统的主要挑战之一。因此，生成更准确却简化的风电场（WF）模型变得越来越重要。 WF的当前建模技术依靠聚合来降低模型复杂性和计算时间。文献中采用了两种聚合技术：完全聚合模型（FAM）和多机器模型，其中WF被划分为针对WF不同部分的多个聚合模型。本研究介绍了两种聚合技术之间基于小信号模型的比较。目的是研究与多机建模方法相比，在弱电网条件下风力涡轮机的完全聚集对整个系统关键模式的影响。比较是针对WF的不同操作条件（输出有功功率和无功功率）以及在不同的短路比下进行的，以揭示在多大程度上可以依靠FAM来提供大WF的准确响应。

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