Automatically detect tampered meters, before field inspections
Loss detection is an increasing concern for DSOs since networks need to cope with a higher electricity demand due to transport electrification and power quality affections due to distributed energy sources.
Detection, quantification and reduction of technical loss is crucial to keep under limits or even decrease CO2 emissions resulting from wasted energy.
Non-technical loss, i.e. energy theft, is also a big concern as it has a serious impact on the electricity bill of every consumer and on safety in general.
Reliable digital mapping
In this context knowing where customers are connected (network topology) - up to phase level - with 100% accuracy is crucial to build a reliable inventory. Without this level of reliability, any further data processing to calculate relevant network parameters -technical loss, power flow, saturation, etc- is too uncertain and imprecise to allow efficient network management and planning.
To overcome this, ARIADNA’s initial effort was focused on developing a technology that would allow to detect precisely and reliably where any consumer/prosumer is connected, i.e, to which Secondary Substation, Transformer, LV panel, Feeder and Phase is linked.
This is achieved by combining the data coming from smart sensors deployed in the LV Secondary Substation (at feeder level) with the data provided by smart meters. Thanks to this patented technology, which is 100% reliable, many DSOs have improved and completed significantly the accuracy of their digital asset inventory.
LV network loss
Taking this precise grid topology as a baseline, ARIADNA exploits its deep knowledge on the electrical network to develop analytical techniques that allow to measure with an unprecedented level of accuracy any loss-related phenomenon.
- Quantify power loss per LV feeder
- Detect non-technical loss resulting from tampered meters
- Reduce technical loss due to unbalanced phase on Feeders/Transformer
Tampered meter detection engine
Our customers look upon this solution as very cost-efficient to combat fraud and is a perfect fit in order to minimize the revenue leakage.