Economical Data-Fused Grid Edge Processor (EDGEPRO) for Future Distribution Grid Control Applications
David Lee Lubkeman
Project runs from 04/01/2019 to 02/20/2022
The proposed concept entails the research, development, and demonstration of an economical, data-fused grid edge processor (EDGEPRO) that can generate required data to support flexible grid operations by processing raw data from various existing sources (e.g., smart transformers, smart pole-top sensors, distribution automation (DA) controllers, smart inverters). The edge device will process high-speed and high-volume data by leveraging data fusion and machine learning (ML) technologies, making and executing local grid control decisions, and communica-ting certain processed data with other control systems, the cloud, and/or the utility control center. Because of its capabilities, the EDGEPRO will be able to calculate “virtual meter” data that, will eliminateing the need for installing additional grid monitoring sensors and devices at many feeder locations such as a service transformer, to and reduce the overall cost of flexible grid control. The target cost for the advanced edge data processor is $3000 USD per unit.