Localization of forced oscillations in the power grid under resonance conditions
Localization of forced oscillations in the power grid under resonance conditions
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DOI：
10.1109/ciss.2018.8362302
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发表时间：
2018-03
期刊：
影响因子：
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通讯作者：
Tong Huang;N. Freris;P. Kumar;Le Xie
中科院分区：
文献类型：
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作者：
Tong Huang;N. Freris;P. Kumar;Le Xie
本文提出了一种数据驱动的方法来精确定位电网中一种新出现的动态现象的来源，在存在谐振现象的困难但高风险的情况下称为"强迫振荡"。利用同步相量测量值的低秩和稀疏特性，将定位问题转化为矩阵分解问题，并采用精确增广拉格朗日乘子算法求解。在线检测方案的基础上制定的问题。所提出的方法的数据驱动的性质允许一个非常有效的实施。在一个68节点的电力系统中说明了所提出的方法的有效性。所提出的方法可能是更广泛的有用的在其他情况下，用于识别谐振系统中的强迫振荡的源。
This paper proposes a data-driven method to pin-point the source of a new emerging dynamical phenomenon in the power grid, referred to “forced oscillations” in the difficult but highly risky case where there is a resonance phenomenon. By exploiting the low-rank and sparse properties of synchrophasor measurements, the localization problem is formulated as a matrix decomposition problem, which can be efficiently solved by the exact augmented Lagrange multiplier algorithm. An online detection scheme is developed based on the problem formulation. The data-driven nature of the proposed method allows for a very efficient implementation. The efficacy of the proposed method is illustrated in a 68-bus power system. The proposed method may possibly be more broadly useful in other situations for identifying the source of forced oscillations in resonant systems.