A heuristic for the synthesis of credible operating states in the presence of renewable energy sources

Edgar Nuño, N. Cutululis
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引用次数: 1

Abstract

Experience has shown the limitations of deterministic criteria when accommodating the intrinsic uncertainties associated to modern power systems. Hereof, probabilistic risk assessment represent a powerful enhancement in order to ensure the overall power system reliability rather than a worst-case scenario analysis. This paper presents a general-purpose methodology intended to generate plausible operating states. The main focus lies on the generation of correlated random samples using a heuristic of the NORmal-to-Anything (NORTA) method. The proposed methodology was applied to model wind generation in the Danish Western power system, analyzing the effect of the marginal distributions and errors in the correlation matrix definition.
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可再生能源存在下可靠运行状态综合的一种启发式方法
经验表明,在适应与现代电力系统有关的内在不确定性时,确定性标准存在局限性。在这里,概率风险评估代表了一种强大的增强,以确保电力系统的整体可靠性,而不是最坏情况的分析。本文提出了一种通用的方法,旨在产生合理的运行状态。主要重点在于使用启发式的正态对任意(NORTA)方法生成相关随机样本。将所提出的方法应用于丹麦西部电力系统的风力发电模型,分析了边际分布和相关矩阵定义误差对模型的影响。
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