Solutions – EN – Odit-e

Big Data for the modernization of low voltage networks

Odit-e's innovations

Odit-e provides decision making solutions dedicated to Distribution System Operators.

It relies on a detailed understanding of the functioning of electrical networks, combined with a solid command of artificial intelligence tools, in order to develop “Physics informed AI” algorithms.  Its solutions leverage data from smart meters to:

  • Support the energy transition in mature countries, by facilitating the integration of distributed energy resources
  • Accelerate access to energy in developing countries

An empirical model:

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Completion & correction of GIS

The digital model generated by Odit-e corrects and completes the geographical information systems by retrieving the links between the meters and:
  • their secondary substation
  • their LV feeders
  • their supply phases
Precision > 0 %
Connection between meter and feeder
Precision > 0 %
Connection between meter and phase

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Network analysis

Based on real data collected from the network, this service offers a precise analysis of the state of MV/LV substations and feeders:
  • Load monotones
  • Imbalances between phases at substation and feeder level
  • Rebalancing plans to minimize voltage drops and technical losses…
- 0 %
Network operating costs
0 %
Reallocated investment

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Impact study

From the real data collected on the network, this service offers:

  • An estimation of the capacity of each meter for PV production, the connection of charging stations, heat pumps… 
  • An optimization of this capacity by optimizing the network balancing
  • Estimation and localization of the network constraints in the medium term according to various planning scenarios: deployment of new loads, new generation sources, new flexibilities…
X 2
PV hosting capacity
< 1 '
for a connection study

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Non-technical losses

From the real data collected on the network:

  • An estimation of the non-metered energy at the MV/LV substations
  • An estimation for each meter of the probability of being bypassed
  • An estimation of the non-metered energy in the neighbourhood of each meter
1/ 2
NTL reduction target
X 2
Field team success rate

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Observability

From the real data collected on the network:

  • A real time estimation of MV/LV substation and LV feeder loads 
  • A real time estimation of the voltage for each meter 
  • A prediction of the constraints in voltage and load current for the upcoming ten minutes
     
Error < 1 V
Meters voltage
Precision > 0 %
power at the MV/LV substation

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Perspectives

Odit-e is continuously improving its services towards Distribution System Operators to:

  • Make them fit their new needs and requirements 
  • Improve the dynamic management of distributed energy resources, while respecting the constraints of the electrical network 
  • Integrate its services into the planning and operation tools of DSOs
     

     

Use cases in development
Energy access projects in Africa
Odit-e France
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