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Enabling deep penetration of distributed energy resources (DERs) requirescomprehensive monitoring and control of the distribution network. Increasingobservability beyond the substation and extending it to the edge of the grid isrequired to achieve this goal. The growing availability of data frommeasurements from inverters, smart meters, EV chargers, smart thermostats andother devices provides an opportunity to address this problem. Integration ofthese new data poses many challenges since not all devices are connected to thetraditional supervisory control and data acquisition (SCADA) networks and canbe novel types of information, collected at various sampling rates and withpotentially missing values. Visualization and analytics for distributed energyresources (VADER) system and workflow is introduced as an approach and platformto fuse these different streams of data from utilities and third parties toenable comprehensive situational awareness, including scenario analysis andsystem state estimation. The system leverages modern large scale computingplatforms, machine learning and data analytics and can be used alongsidetraditional advanced distribution management system (ADMS) systems to provideimproved insights for distribution system management in the presence of DERs.

VADER: Visualization and Analytics for Distributed Energy Resources