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Random-Matrix-

于 2016-11-04 发布 文件大小:1051KB
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  电网暂态分析是保证电网稳定运行的重要手段。随着电网广域测量系统(wide-area management system, WAMS)的发展,电网形成了具有时空特性的高维海量运行数据。传统的电网暂态分析采用物理模型,用严格的数学公式关联维度之间数据,这种模型不能充分利用海量电网运行数据,造成资源浪费。从数据驱动的角度,首先分析 WAMS 数据的应用情况,考虑电网运行数据特点建立数据模型。然后利用随机矩阵理论(random matrix theory, RMT) 建立平均谱半径(mean spectral radius, MSR)评价指标,从整体上分析不同扰动对电网的影响。在整体分析电网运行状态的基础上,结合随机矩阵理论和时间序列分析(time series analysis, TES)建立量化评价指标,实现对扰动的影响程度分析和影响范围评估。(Power System Transient Stability Analysis Based on Random Matrix Theory)

文件列表:

基于随机矩阵理论的电力系统暂态稳定性分析.pdf,1216559,2016-11-04

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