Estimate the Lost Phasor Measurement Unit Data Using Alternating Direction Multipliers Method
Estimate the Lost Phasor Measurement Unit Data Using Alternating Direction Multipliers Method
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DOI：
10.1109/tdc.2018.8440469
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发表时间：
2018-04
期刊：
影响因子：
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通讯作者：
Mang Liao;Di Shi;Zhe Yu;Wendong Zhu;Zhiwei Wang;Yingmeng Xiang
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文献类型：
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作者：
Mang Liao;Di Shi;Zhe Yu;Wendong Zhu;Zhiwei Wang;Yingmeng Xiang
提出了一种新的相量测量单元（PMU）丢失数据恢复算法。由于PMU数据的低秩特性，缺失测量估计可以被表述为一个低秩矩阵完备化问题。在最大间隔矩阵分解的基础上，提出了一种基于交替方向乘子法（ADMM）的矩阵完备化算法。与现有的方法相比，所提出的基于ADMM的算法不需要估计目标数据矩阵的秩，并提供了更好的性能在计算复杂度。此外，我们考虑的情况下，从所有PMU通道的测量丢失，并提供了一种策略，重塑矩阵，其中包含接收到的PMU数据进行估计。采用IEEE 68节点电力系统模型的PMU测量数据的数值结果表明了所提出方法的有效性和效率。
This paper presents a novel algorithm for recovering missing data of phasor measurement units (PMUs). Due to the low-rank property of PMU data, missing measurement estimation can be formulated as a low-rank matrix-completion problem. Based on maximum-margin matrix factorization, we propose an efficient algorithm based on alternating direction method of multipliers (ADMM) for solving the matrix completion problem. Comparing to existing approaches, the proposed ADMM based algorithm does not need to estimate the rank of the target data matrix and provides better performance in computation complexity. In addition, we consider the case of measurements missing from all PMU channels and provide a strategy of reshaping the matrix which contains the received PMU data for estimation. Numerical results using PMU measurements from IEEE 68-bus power system model illustrate the effectiveness and efficiency of the proposed approaches.