VADER: Visualization and Analytics for Distributed Energy Resources

TL;DR

VADER is a platform that integrates diverse data sources from distributed energy resources to enhance situational awareness and system management in power distribution networks.

Contribution

The paper introduces VADER, a novel visualization and analytics platform that fuses heterogeneous DER data for improved distribution system monitoring.

Findings

Enables comprehensive situational awareness of DERs.

Supports scenario analysis and system state estimation.

Integrates data from various sources with different sampling rates.

Abstract

Enabling deep penetration of distributed energy resources (DERs) requires comprehensive monitoring and control of the distribution network. Increasing observability beyond the substation and extending it to the edge of the grid is required to achieve this goal. The growing availability of data from measurements from inverters, smart meters, EV chargers, smart thermostats and other devices provides an opportunity to address this problem. Integration of these new data poses many challenges since not all devices are connected to the traditional supervisory control and data acquisition (SCADA) networks and can be novel types of information, collected at various sampling rates and with potentially missing values. Visualization and analytics for distributed energy resources (VADER) system and workflow is introduced as an approach and platform to fuse these different streams of data from utilities and third parties to enable comprehensive situational awareness, including scenario analysis and system state estimation. The system leverages modern large scale computing platforms, machine learning and data analytics and can be used alongside traditional advanced distribution management system (ADMS) systems to provide improved insights for distribution system management in the presence of DERs.