This paper presents Weighted Dynamic aggregation (WD agg) method to obtain an equivalent Wind Turbine Generator (WTG) for an induction machine-based wind farm using its dynamic model. The suggested approach obtains the equivalent d-q model of the induction generators considering the contribution of each unit in the model. The challenges in the aggregation of a large-scale wind farm are the variation of wind speeds at different zones and differences in the WTGs parameters. Compared with the existing methods such as Full aggregation (Full agg), Zone aggregation (Zone agg), and Semi aggregation (Semi agg), the suggested WD agg method provides an accurate single unit equivalent model for a large-scale wind farm while taking into account various wind speed zones and unequal WTG parameters. The proposed method is evaluated through time-domain simulation of a 4-WTG and a large-scale 20-WTG Doubly-Fed Induction Generator (DFIG) wind farms and their aggregated models. These simulations cover combinations of different wind speeds and WTGs parameters. Also, a 4-WTGs fixed-speed wind farm is studied to show the generality of the proposed method. Comparing WD model with the detailed response of the wind farm verifies the accuracy of the method in both steady-state and transient behaviors.

中文翻译：

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基于感应电机的风电场的加权动态聚合建模

本文提出了加权动态聚合 (WD agg) 方法，以使用其动态模型为基于感应电机的风电场获得等效的风力涡轮发电机 (WTG)。考虑到模型中每个单元的贡献，建议的方法获得感应发电机的等效 dq 模型。大型风电场聚合面临的挑战是不同区域的风速变化和WTGs参数的差异。与现有的全聚合（Full agg）、区域聚合（Zone agg）和半聚合（Semi agg）等方法相比，建议的WD agg方法为大型风电场提供了准确的单台当量模型，同时考虑到不同的风速区和不等的WTG参数。通过对 4-WTG 和大型 20-WTG 双馈感应发电机 (DFIG) 风电场及其聚合模型的时域仿真来评估所提出的方法。这些模拟涵盖了不同风速和 WTG 参数的组合。此外，研究了一个 4-WTGs 定速风电场，以显示所提出方法的通用性。将 WD 模型与风电场的详细响应进行比较，验证了该方法在稳态和瞬态行为方面的准确性。