Solutions for the future

Products, Renewable energy

Ingrid

Leading the energy revolution

 

Smart Distribution Network Management System

The use of monitoring and diagnosis tools is crucial for the distribution networks of the future, the Smart Grids. This is where Ingrid comes into play.

 Applications:

Ingrid:

Implementation benefits

Self-controlled and microservices architecture:

Cloud and edge implementation.

Sensor – agnostic:

It does not require proprietary hardware and is independent of equipment communication protocol.

Immediate Commissioning:

Only requires communication with storage systems of measurements from Secondary Substation sensors and meters.

Fast convergence:

5 minutes on average in linking a Secondary Subestation.

Charta

LV topology mapping

Automatic system based on artificial intelligence techniques for recognizing the connection topology of Low Voltage meters.

  • Linkage to phase, feeder and transformer for each known meter.

  • Consumption distribution by phase for three-phase meters. Differentiate between single-phase and three-phase meters.

  • Dynamic updating of topological information, detection of significant changes and automatic communication to source DB.

  • Adapted to non-technical losses and lack of information.

  • Only needs hourly energy curves (billing) from smart meters.

  • Web interface for viewing, processing and downloading results.

Use cases

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Updating DB topological information

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Energy balances and fraud detection

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Optimization tasks planning

Previous experiences

PASTORA

Smart City Living Lab
e-Distribución

INCHARTA

Grupo Cueva

InMonitoring

Network performance analytics.

Advanced monitoring system for planning and operation tasks in Medium and Low Voltage distribution networks.

Technology:

Medium Voltage State Estimator

  • Equivalent single-phase model (positive sequence)

Low Voltage State Estimator

  • Three-phase 4-wired model (considers neutral conductor and coupling between phases)

Use cases

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Network flexibility

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Identification of overloaded elements

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Forensic analysis of incidents

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Hosting capacity

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Errors detection and identification

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Real-time alarm generation

Previous experiences

MONICA, PASTORA

Smart City Living Lab
e-Distribución

State Estimation

Medium Voltage Network
Medina Garvey

InMonitoring

Medium Voltage Network
Grupo Cuerva

State Estimation Project

Medium Voltage Network
Unión Fenosa Distribución

InDLR

Dynamic operation of HV-MV overhead lines

Distribution networks face the challenges of the energy transition in the upcoming years and must be prepared for an increase in electricity consumption as well as a new distribution of electricity. Electric power lines need to be digitalised and this digitization has to optimise the operation of the assets. This Dynamic Operation Tool is able to optimise the use of power lines.

System for dynamic optimisation of the operating limits of HV-MV lines

  • Use of forecasted weather data.

  • No need for own sensors or weather stations.

  • Applies safety coefficients that guarantee the safety of the system.

  • Web interface for viewing, processing and downloading data.

Use cases

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DLR forecast 48 hours ahead

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Discharge planning

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Maximize renewables integration

Previous experiences

DLR studies

e-Distribution

RTTR
CTLA
DLR Platform

Red Eléctrica de España

InPPC-Distribution

Controller for the Distribution Network

With the imminent addition of new agents (consumers and generators) to the distribution grids, new controls are needed to make the grid flexible and intelligent to optimise the operation of these assets.

Control system that acts on the flexibility services providers and the control units available to the distribution company (OLTC, capacitor banks, reactors, etc.) in real time on MV or LV networks

  • Active and reactive power, frequency and voltage control.

  • Web interface for viewing, processing and downloading results.

Use cases

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Control of transformer overloads

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Avoid line congestions

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Maintain voltage in the distribution network within margins

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Reduce neutral currents and unbalances

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Optimisation of network operation

Previous experiences

Fraunhofer

Distribution Network
Ormazabal

DTU

Distribution Network
Ormazabal