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A Probabilistic Assessment Method for Voltage Stability Considering Large Scale Correlated Stochastic Variables

机译：考虑大规模相关随机变量的电压稳定性的概率评估方法

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摘要

Voltage stability has always been one of the most important concerns. As the increasing integration of large-scale renewable energy sources in power systems, the correlation between load demands and renewable energy systems becomes more and more complex and important for probabilistic voltage stability. There are two significant issues for probabilistic voltage stability assessment: (i) how to choose the reasonable power increment direction which determines the reliability of voltage stability assessment when considering the actual operating characteristics of the power system; and (ii) how to obtain the samples characterized with the specified distribution and the desired correlation. We propose methodologies to define the reasonable power increment direction with theoretical proof. Moreover, power method transformation combined with Latin hypercube sampling and twice-permutation technique is proposed for probabilistic voltage stability assessment. Case studies with two modified IEEE test systems show that the proposed method is accurate and efficient.
机译：电压稳定性一直是最重要的问题之一。随着大规模可再生能源在动力系统中的越来越多的集成，负载需求与可再生能源系统之间的相关性变得越来越复杂，并且对于概率电压稳定性重要。概率电压稳定性评估有两种重要的问题：（i）如何选择合理的功率增量方向，该方向决定电压稳定性评估的可靠性，当考虑电力系统的实际操作特性时; （ii）如何获得具有指定分布和所需相关性的样本。我们提出了用理论证明定义合理的功率增量方向的方法。此外，对于概率电压稳定性评估，提出了与拉丁超立方体采样和两次禁育技术相结合的电力方法变换。具有两个改进的IEEE测试系统的案例研究表明所提出的方法是准确和高效的。

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