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Performance Evaluation of Coherency Identification Methods in Frequency Stability Analysis Based on A Novel Assessment Index

机译:基于一种新的评估指标的相干性识别方法在频率稳定性分析中的性能评估

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The injection of renewable energy brings a big uncertainty to the modern power system, which would have a detrimental influence on the frequency stability. The fluctuating frequency from a specific wind farm is difficult to be represented by system average frequency due to uneven inertia distribution in the system. In order to deal with this issue, the coherency identification is applied to separate the system into a few areas and then further research is conducted. In terms of frequency stability analysis, two factors are often concerned: the rate of change of frequency (RoCoF) and frequency nadir/vertex (FN/FV). Therefore, this paper proposes a novel assessment index, i.e. Max Spatial Distribution Ratio of System Frequency Response (MaDSR), suitable for these two factors to evaluate the effects of the coherent results based on a new concept, Area Frequency Response Center (AFRC). To test the effectiveness of the index, slow coherency identification method is selected to divide a modified IEEE 16machine 68 bus with additional installation of wind farms.
机译:注入可再生能源给现代电力系统带来了很大的不确定性,这将对频率稳定性产生不利影响。由于系统中的惯性分布不均匀,因此特定风电场的波动频率很难用系统平均频率来表示。为了解决这个问题,应用一致性识别将系统分成几个区域,然后进行进一步的研究。在频率稳定性分析方面,经常要考虑两个因素:频率变化率(RoCoF)和频率最低点/顶点(FN / FV)。因此,本文提出了一种新颖的评估指标,即系统频率响应的最大空间分布比(MaDSR),适用于这两个因素,以基于区域频率响应中心(AFRC)的新概念来评估相干结果的效果。为了测试该指标的有效性,选择了慢相干性识别方法来划分修改后的IEEE 16machine 68总线,并附加安装风电场。

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