Inrush Current Measurement for Transient Space Characterization and Fault Detection

Training the load identification algorithm for a power-system monitor (PSM) begins with characterization or observation of the loads. This article demonstrates a phase-controlled switch that, in situ, accounts for the effects of source and line impedance on load transients at controllable phase angles with respect to the ac voltage line-cycle. The phase angle significantly affects the inrush for many loads, such as lighting, induction motors, and power supplies. The circuitry and signal identification techniques presented in this article can provide a full set of training data for machine learning algorithms for power system monitoring. The system can also be used as the foundation of a smart switch in grid applications for automatic demand response control.

Automated summary

Training the load identification algorithm for a power-system monitor begins with observing the loads and using a phase-controlled switch to account for the effects of source and line impedance on load transients. The system presented in the article can provide training data for machine learning algorithms and be used as the foundation for a smart switch in grid applications for automatic demand response control.