Sense releases AMI-based EV analytics solution for grid management
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US-based grid edge intelligence tech company Sense has released EV Analytics, a new load management solution delivered through AMI 2.0 meter to provide insights into grid visibility and reliability needs.
According to the company’s release, the new solution can identify all electric vehicles (EVs) charging on the power grid, providing enhanced insights into load management.
The product analyses high-resolution waveform data locally on the meter with embedded AI and machine learning.
Sense says it is their first solution built specifically for utilities’ grid visibility and reliability needs.
The new technology from Sense offers EV detection and charging insights that they claim unlock smarter forecasting, better distribution planning, and more efficient managed charging programme delivery for utilities.
By processing waveform data at the grid edge, EV Analytics detects the presence of EVs and estimates both Level 1 and Level 2 charge events, including start/stop times and kilowatt-hour consumption.
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Commenting in a release was Nancy Riley, SVP of Product at Sense: “You can’t measure what you can’t see, which is where our new EV Analytics solution comes in.
“We’ve focused our energy on finding all EVs on a grid, including those ghost EVs that utilities are often blind to because they use Level 1 chargers.”
Additionally, says Sense, the solution can use flexible communication protocols, including cellular, mesh, and WiFi.
EV charging grid impact
The impact of widespread EV charging on the power grid has become a concern as the EV market continues to grow.
According to research published in October 2024 in IEEE Access, the integration of EVs into urban fleets has been on the rise in recent years.
Depending on the characteristics of the electrical power system, such as short-circuit power and voltage harmonic distortion, due to the dynamic operation during charging sessions, EV charging stations may impacts the quality of power in the connection point.
In the US specifically, back in February 2024, the North American Electric Reliability Corporation (NERC) cautioned against the impact of EV charging on bulk power system reliability, calling for cross-sector coordination to bolster and ensure the reliability of the power grid.
In a white paper, the NERC said that as EVs become more numerous, their charging characteristics, such as where and how they charge, will have an increasing effect on the grid, calling for cross-sector collaboration to mitigate the impact.
EV Analytics, says Sense, is the first solution in a suite they will deliver over the coming months to transform grid-edge data into real-time action.
