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Multi-channel measurement-based identification methods for mode estimation in power systems

机译:基于多通道测量的功率系统模式估计的识别方法

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摘要

Mode identification from post-disturbance ringdown responses is a valuable tool for the analysis of the dynamic performance and the stability margins of power systems. In this aspect, several techniques have been proposed, focusing mainly to single-signal analysis. However, considering large-scale power systems and especially future scenarios with high penetration of distributed energy resources, detailed network analysis at all voltage levels is required. As a result of these concerns, multi-channel mode identification algorithms have been developed. Scope of this paper is to evaluate the applicability and the performance of the most known multi-channel measurementbased identification approaches for the modal analysis of modern power systems incorporating active distribution networks. The algorithmic details and distinct characteristics of each method are briefly discussed. The examined methods are used to identify the dominant inter-area modes contained in ringdown responses at different levels of a combined transmission-distribution network.
机译:从后扰动振铃响应的模式识别是用于分析动态性能和电力系统稳定性边缘的有价值的工具。在这方面,已经提出了几种技术,主要集中在单信号分析中。然而,考虑到具有分布式能源高渗透的大型电力系统和特别是未来的情景,需要在所有电压电平处进行详细的网络分析。由于这些问题,已经开发了多通道模式识别算法。本文的范围是评估最着名的多通道测量基于识别方法的适用性和性能,用于结合有源分配网络的现代电力系统的模态分析。简要讨论了每个方法的算法细节和不同特性。所检查的方法用于识别在组合传输分配网络的不同级别的振铃响应中包含的主导区域模式。

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