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Identification of critical parameters affecting voltage stability in networks with renewable generations using sensitivity analysis methods

机译:使用灵敏度分析方法识别影响可再生能源发电网络中电压稳定性的关键参数

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In modern power systems, the penetration of deregulated market structures, together with the integration of renewable energy source-based generations and non-conventional loads can exhibit inherent stochastic and intermittent behaviour. Hence, bringing uncertainties to the system generation and loading profile, affects the power system's dynamic behaviour. The identification and ranking of critical system uncertain parameters is important for the efficient operation of modern power systems since they can enable better system management with less monitoring. In this paper, 6 sensitivity analysis (SA) methods have been employed for the priority ranking of uncertain parameters in a network with renewable generations from the perspective of their influence on power system voltage stability. The performances of the 6 SA methods are evaluated and their advantages and disadvantages are discussed. The modified version of the 68 bus NETS-NYPS has been used as the test system.
机译:在现代电力系统中,放松管制的市场结构的渗透,以及基于可再生能源的发电和非常规负荷的整合,都可能表现出固有的随机性和间歇性。因此,给系统的产生和负载曲线带来不确定性,会影响电力系统的动态行为。关键系统不确定性参数的识别和排序对于现代电力系统的有效运行非常重要,因为它们可以实现更好的系统管理,而监控却更少。本文从可再生能源发电网络对电力系统电压稳定性的影响的角度出发,采用了6种灵敏度分析(SA)方法对不确定参数的优先级排序。评估了6种SA方法的性能,并讨论了它们的优缺点。 68总线NETS-NYPS的修改版本已用作测试系统。

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