Case Study: BC Hydro

BC Hydro sought new methods of situational awareness of their electric grid to improve reliability, revenue protection, and future grid planning decision making. To accomplish this, the BC Hydro team needed more data from more places on their grid, such as feeder level energy capacity data, power quality data, and other data that supports energy balancing. This further required that they bring all of the grid data into a single dashboard to streamline analysis and decision making processes.

Awesense worked with BC Hydro to install the Raptor sensors, enabling the utility to collect feeder-level power data. This data, along with other data from grid-connected resources, was ingested into Awesense’s AI Data Engine, cleansed, and structured into a digital twin. Working as a dashboard that visualized the grid data, Awesense’s TGI platform enabled near real-time data analytics and insight into BC Hydro’s assets and grid performance.

Using TGI, the BC Hydro team could zero in on specific assets or segments of the grid to draw further insight. Working with the dashboard for over ten years now, the platform has built-in use cases as well as alerts for outage detection and feeder balancing, which enables the team to optimize revenue and increase consumer satisfaction. Furthermore, the BC Hydro team can build more use cases and analytics by pulling data from the digital twin, allowing them to create and expand their insights into their grid and planning efforts.