Case Study: SnoPUD | Doosan

Snohomish County Public Utility District (SnoPUD) and Doosan, a Distributed Energy Resource Management System (DERMS) software vendor, lacked visibility into the DERs within a microgrid in SnoPUD territory. The microgrid’s DERs include a battery, solar, and vehicle-to-grid (V2G) EV chargers. Doosan’s DERMS software, DERO, needed real-time data from the DERs and other grid resources, which in turn would provide SnoPUD situational awareness of the full microgrid system.

Without situational awareness of the microgrid and its DERs, as well as those of resources connected to SnoPUD’s electric grid, the teams were unable to make data-backed business and operational decisions, as well as scale the technology.

Awesense’s AI Data Engine ingested SnoPUD’s SCADA, Meters, BESS and V2G/EVSE data, which was subsequently structured and synchronized with differing reporting frequencies. The data, which was geo-referenced and provided in near-real-time, was visualized in TGI and made available to multiple teams via Awesense’s APIs.

With easy access to accurate and granular data from the DERs and other grid resources, the Doosan team could better control and dispatch the microgrid’s energy storage system and V2G charging stations. Similarly, SnoPUD gained complete situational awareness of the microgrid and its integration within their territory. The data also supported long term planning such as the potential scaling of microgrids and V2G devices.