PMU Data

Smart grid systems require high-quality Phasor Measurement Unit (PMU) data for proper operation, control, and decision-making. Missing PMU data may lead to improper actions or even blackouts. While the conventional cubic interpolation methods based on the solution of a set of linear equations to solve for the cubic spline coefficients have been applied by many researchers for interpolation of missing data, the computational complexity increases non-linearly with increasing data size.智能电网系统的正常运行、控制与决策均依赖高质量的同步相量测量单元（Phasor Measurement Unit，PMU）数据。PMU数据缺失可能引发不当操作，甚至导致电网大面积停电。尽管诸多研究者已将基于求解线性方程组以获取三次样条系数的传统三次插值方法，用于缺失数据的插值任务，但该方法的计算复杂度会随数据体量增长呈非线性提升。