Case Study: Sierra Leone

How Awesense helped distribution utility EDSA develop analytics for summary reports on transformer loading and power flows

BC Hydro
Scope Snapshot
Goal

Evaluate transformer loading conditions and phase load balance of EDSA’s distribution grid

The Data
  • Transformer Nameplate Information
  • Awesense Raptor Data
  • Grid Topology & Association Data
Awesense Tools Used
  • Awesense Raptor Sensors
  • AI Data Engine
  • Energy Data Model APIs
  • True Grid Intelligence (TGI) for asset and grid edge situational awareness

The Challenge

Electricity Distribution and Supply Authority (EDSA), a distribution utility in the Western Area of Sierra Leone, lacked situational awareness of assets in their electric grid. This prevented them from identifying technical losses, power flows, and load bottlenecks in their grid that resulted in inefficiencies and lost costs.

The Solution & Results

The company worked with Awesense to install Raptor sensors, our grid enhancing device that connects directly to distribution systems to measure several power parameters at once. In this case, the Raptor sensors collected data on transformer load and phase load.

Leveraging data streaming from the Raptor sensors, Awesense deployed analytics tools to help the team determine the efficiency and power loss of transformers, thereby understanding their risk of failure on the grid. The analytics tools greatly enhanced their asset management processes and summary reports, enabling timely transformer replacement decisions. This led to increased grid reliability and fewer outages caused by overloaded transformers. It not only improved reliability indicators but it also increased cost savings in investments substantially.

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