Overview
With rapid increases in grid edge devices beginning to affect the bulk power system, transmission
utilities are seeking ways to gain visibility of the behavior of distributed energy resources (DER) in aggregate. The amount of data associated with these devices can quickly overwhelm traditional centralized architectures and point-to-point communications between utilities (such as ICCP links). An alternative approach is to implement a hierarchical approach, extending the concept of the IEC 61968-1 Enterprise Service Bus to the grid edge. A reference implementation based on the GridAPPS-D and VOLTTRON platforms running on 28 Raspberry PI edge nodes are used to provide data integration for transmission and distribution utilities in Vermont. The Common Information Model (CIM) is used to create a single-source-of-truth data environment for mapping streaming SCADA and AMI data polled via Azure, AWS, and Google Cloud environments to the power flow model. The combined model is used to develop novel adaptive under-frequency load shedding (UFLS) and volt-var optimization (VVO) apps.
Speaker Biography
Dr. Alex Anderson received the Professional Science Masters in power systems engineering from Washington State University and PhD in systems engineering from Colorado State University. Dr. Anderson joined PNNL in 2021 as a power systems research engineer in the Energy Systems Engineering Group. Their research focuses on data integration using the Common Information Model, advanced distribution management systems,
and human factors in utility control rooms. Prior to that, they were a systems engineer in IncSys Corp, providing large-scale simulation-based training to transmission system operators worldwide. Dr. Anderson is also Technical Vice Chair of the IEEE PES Humanitarian Activities Committee.