Traditional methods used for the analysis and design of power systems, like power flow studies (PFS), do not consider any uncertainties. For example, when there is a high penetration of wind power plants (WPPs), whose raw material is intermittent. In this paper is proposed a graphical probabilistic representation (GPR) based on multi-objective performance index (MPI) to assess the impact of the WPPs penetration in power systems. This representation is applied to the southeastern network of Mexico, where there is increasing penetration of WPPs. Besides, a comparative study is presented, with and without a static var compensator (SVC) device connected to the mentioned network, to evaluate the effects of shunt compensation in the point of common coupling (PCC) with WPPs. The results of this comparison are discussed using the GPR proposed. The results show that GPR can be utilized as a useful tool to represent a considerable amount of information in a clear, compact, and single visual representation.

中文翻译：

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电力系统中风力发电厂影响评估的图形概率表示

用于电力系统分析和设计的传统方法，如潮流研究 (PFS)，不考虑任何不确定性。例如，当风力发电厂 (WPP) 的渗透率很高时，其原材料是间歇性的。在本文中，提出了一种基于多目标性能指数 (MPI) 的图形概率表示 (GPR)，以评估 WPPs 在电力系统中渗透的影响。这种表示适用于墨西哥东南部网络，那里 WPP 的渗透率越来越高。此外，还介绍了一项比较研究，在有和没有连接到上述网络的静态无功补偿器 (SVC) 设备的情况下，以评估具有 WPP 的公共耦合点 (PCC) 中的分流补偿效果。使用建议的 GPR 讨论了这种比较的结果。