Harmonic Data Recovery Method Based on Multivariate Norm Matrix

During state perception of a power system, fragments harmonic data are inevitably lost owing to the loss synchronization signals, transmission delays, instrument failures, or other factors. A recovery method is proposed based on multivariate norm matrix in this paper. The involves dynamic time warping for correlation analysis data, normalized cuts clustering power-quality monitoring devices, and adaptive alternating direction multipliers multivariable joint optimization. Compared with existing methods, our maintains excellent accuracy without requiring prior information optimization device. Simulation results IEEE 39-bus 118-bus test systems demonstrate low computational complexity its robustness against noise. In addition, application field from real-world system provides consistent those obtained simulations.