Mitigating Smart Meter Asynchrony Error Via Multi-Objective Low Rank Matrix Recovery

Smart meters (SMs) are being widely deployed by distribution utilities across the U.S. Despite their benefits in real-time monitoring. SMs suffer from certain data quality issues; specifically, unlike phasor measurement units (PMUs) that use GPS for synchronization, not perfectly synchronized. The asynchrony error can degrade monitoring accuracy networks. To address this challenge, we propose a principal component pursuit (PCP)-based recovery strategy. Since results loss of temporal correlation among SMs, key idea our solution is to leverage PCP-based low rank matrix technique maximize between multiple streams obtained SMs. Further, approach has novel multi-objective structure, which allows precisely refine and recover all SM-measured variables, including voltage power measurements, while incorporating inherent dependencies through flow equations. We have performed numerical experiments using real SM demonstrate effectiveness proposed strategy mitigating impact on grid