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Efficient identification of critical load model parameters affecting transient stability

机译：有效识别影响暂态稳定性的关键载荷模型参数

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In this paper, an efficient sensitivity analysis (SA) technique is implemented to identify critical load model parameters affecting the transient stability of a power system. Transient stability is becoming more crucial in modern power systems due to the adoption of a deregulated market structure and an increasing penetration level of renewable generation. Research has revealed that power system loads have a significant influence on transient stability. Ranking of critical load model parameters ensures accurate power system simulation results with less effort and resources have been invested in building load models. The ranking has been made for different loading conditions in order to make the ranking applicable most of the time. Different types of load model have been applied to investigate their influence on transient stability. All simulations have been illustrated using a modified version of the 68 bus NETS-NYPS test system. The results revealed the important load model parameters and important loads, and the level of accuracy required for these critical parameters.
机译：本文采用一种有效的灵敏度分析（SA）技术来识别影响电力系统瞬态稳定性的关键负载模型参数。由于采用了放松管制的市场结构以及可再生能源的普及程度不断提高，瞬态稳定性在现代电力系统中变得越来越重要。研究表明，电力系统负载对瞬态稳定性有重大影响。关键负荷模型参数的排名可确保以较少的精力获得准确的电力系统仿真结果，并且已将资源投入到建筑负荷模型中。已针对不同的加载条件进行了排名，以使排名在大多数时间都适用。已经应用了不同类型的载荷模型来研究它们对暂态稳定性的影响。所有仿真都使用68总线NETS-NYPS测试系统的修改版进行了说明。结果揭示了重要的负载模型参数和重要的负载，以及这些关键参数所需的准确性水平。

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