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An Aggregation Modeling Method of Large-scale Wind Farms in Power System Transient Stability Analysis

机译:电力系统暂态稳定分析中的大型风电场集合建模方法

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The operation states of wind turbines of large-scale wind farms are not identical due to the influence of voltage distribution and wake effect, etc.. So the accuracy of traditional single-machine dynamic aggregation model of wind farms is hard to meet the demand of security and stability analysis of power system with large-scale wind power integration. In order to improve the credibility of transient stability analysis of power systems. A simple fixed-scale clustering method of wind turbines was proposed, which takes “the sensitivity of the wind turbines affected by power systems fault” as the grouping index. Based on the clustering method, the aggregation modeling method of wind turbines and power collection system was proposed. In addition, the detailed model, multi-machine aggregation model and dual-machine aggregation model were established by taking an actual grid-connected large-scale wind farm as an example. And the validity and reliability of the proposed aggregation modeling method of wind farms were verified by simulation analysis.
机译:由于电压分布和尾流效应等的影响,大型风电场的风机运行状态不尽相同。因此传统的风电场单机动态聚合模型的精度难以满足要求。大规模风电集成的电力系统安全稳定分析。为了提高电力系统暂态稳定分析的可信度。提出了一种简单的固定规模的风轮机聚类方法,以“受电力系统故障影响的风轮机的灵敏度”作为分组指标。在此聚类方法的基础上,提出了风机与电力收集系统的集成建模方法。另外,以实际并网的大型风电场为例,建立了详细模型,多机聚合模型和双机聚合模型。通过仿真分析,验证了所提出的风电场集合建模方法的有效性和可靠性。

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