We are catalysts for internal innovation in Redeia. We make the most of outside talent and the power of disruptive technologies to develop innovative solutions to meet the challenges of energy transition and digital transformation with success.

Increase employees safety and wellness
Completed

The aim of the project is to develop an advanced knowledge platform that will help make the management of Red Eléctrica's construction works safer, more efficient and sustainable. With C3, data generated in the construction process will be used and processed to increase efficiency and decision-making. This digital transformation initiative represents a decisive advantage in turning the energy transition and the smart network of the future into a reality.
Minimum Viable Product for validating workers supervision use cases.
Minimum Viable Product for validating machinery supervision and advanced analytics use cases.
Optimize system operation and increase reliability and flexibility of the grid
Completed

We want to show the feasibility of making an inventory of photovoltaic panels by using very high resolution satellite images and artificial intelligence. To do this we will be running tests in various parts of Spain with different features and variables to extract the guidelines for implementing a precise and operative global service in the future. The goal of the project is essentially to be able to precisely detect the panels automatically and locate them on the ground, distinguishing, where possible, the different types of panels so that we can make a reasonable estimate of their installed capacity.
Create the model for identifying panels (without distinguishing between panel types).
Distinguish between photovoltaic and thermal solar panels and estimate the associated capacity.
Study the technical/financial feasibility of scaling the project up.
Creation of an algorithm for detecting photovoltaic panels and an estimator of their associated capacity.
To improve network development and asset management efficiency
Completed

This project is rooted in predictive maintenance. It aims to improve the estimations needed to increase the quality of condition-based maintenance, which consists of anticipating asset failures in order to avoid unavailability and high repair costs. In this context, "partial discharges" are small currents that appear in isolated installations (cables, GIS shielded substation compartments, power transformers, etc.) in situations prior to the failure of the element in question.
The purpose of the project is to develop a platform that does not currently exist on the market to automate the detection of "partial discharges" and their diagnosis, supported by artificial intelligence, in order to classify them according to their criticality and provide information that will enable appropriate maintenance decisions and actions to be taken.
Minimum viable product. Demonstration of ability to identify the type of phenomenon and potential of artificial intelligence in laboratory tests.
Product in service in REE and commercial. Platform for automatic and continuous interpretation of partial discharges in real installations.
To develop a platform that automatically identifies and clusters the different types of partial discharges existing in electrical substation elements.
To optimise activities and transversal processes
Active

Enables the budgeting and planning of investment projects in the Transport Network using all the information available and specific to each project. These are feedback and automatic learning models to be applied during the life cycle of the projects.
Objective: to improve management of the investment activity of the company and decision-making in the DC and DGT based on the use of the information generated in the activity of the projects.
To deploy a new version of the cost and duration estimation models for investment projects.
Increase employees safety and wellness
Completed

The goal of this project is to switch from a reactive/preventive model to a predictive model in the area of occupational health and safety. We make use of the traceability and digital footprint of the data and information provided by the management tools and applications of the Red Eléctrica Group to make analyses with descriptive (what happened), predictive (what could happen) and prescriptive models (what can we do to stop it happening) The first goal of the project is to use Artificial Intelligence methods to create a probability indicator of the risk of accidents and issues associated with any maintenance and construction work.
Concept and data modelling.
Data collection, ordering and processing.
Data analysis and visualisation of the results.
A foundation is created for applying models for predicting the risk of accidents and issues related to maintenance and construction work.
To improve network development and asset management efficiency
Completed

A network of cameras with different vision spectrums has been implemented at the Morvedre converter station, attached to the Morvedre-400kV substation, to inspect the state of the different elements of the substation, detect SF6 leaks, identify and record partial discharges and identify and control hot spots in any element of the installation.
The images captured are analysed and processed by the Edge Computing located in the same installation, applying artificial vision algorithms to report data of interest for the operation and maintenance of the substation to the different users in real time and without supervision.
To minimise the camera network, all of them are motorised with pan-tilt and some are located in fixed locations while others are housed in AGV robots to facilitate the inspection of elements that are more difficult to access.
• Use of autonomous robots in a transmission substation
• Use of Edge Computing in a substation
• Implementation of SF6 detection cameras and partial discharge detection cameras in robots
• Implementation of 5G communications in all elements of the system
• Implementation of artificial vision for the analysis of the inspection carried out both from the robot and from fixed cameras with different vision spectrum
To improve network development and asset management efficiency
Active

Development of a robotic system that automates the construction of overhead line supports such as the assembly (assembly of modules one element at a time) and lifting (lifting of the assembly to its final position) of supports.
Objective: To improve safety (work at height), increase productivity and reduce associated costs.
Demonstration of the prototype developed during the project in a relevant environment and drawing of conclusions.
To improve network development and asset management efficiency
Active

Development of a robotic system that allows the installation of separators (elements that maintain the configuration and distance between its conductors in multiple beam overhead lines).
Objective: To improve safety (work at height), increase productivity and reduce associated costs.
Test of the developed robotic vehicle in a relevant environment, capable of moving along a duplex conductor autonomously, passing existing separators and being able to install new separators on the conductor.
To improve network development and asset management efficiency
Active

The use of fibres in concrete is becoming more and more widespread. But can we go further? How about obtaining these fibres from recycling?
The main objective of the project is to define, obtain and extrude polypropylene fibres and perform different tests with these additives in concrete, so that they can improve the physical characteristics of the concrete, identify the advantages and disadvantages, as well as assess which fibres are the most suitable for REE (in form and dosage, or mixed with non-recycled fibres) for construction and to contribute to sustainable development.
• Reduction of plastic waste.
• Reduction of steel used for reinforcement.
• Possible reduction of concrete volume in foundations.
• Economic savings in the work units where it can be used (estimated at 8%-10%), mainly due to the ease of execution.
To improve the sustainability of our processes and activities
Active

Project for the collection of atmospheric water (condensation of water contained in the air) and the application of renewable energies.
Objective: To achieve self-supply of water for the electrical substations, thus avoiding dependence on external supplies or connection to municipal supply networks.
The objective of Sustainable Water is to move to a more sustainable approach based on the technique of “atmospheric water collection” through two main tasks:
- Evaluating the feasibility of this approach based on the statistical water supply needs of RE substations and the availability of atmospheric water resources along Spanish geography.
- Once the viable areas have been identified, the development of a state-of-the-art equipment (patent in progress) and its test in a real facility.
Development of new system to improve the performance of existing commercial devices for the collection of atmospheric water and its application to the water supply of REE substations.
To improve network development and asset management efficiency
Active
Project for the design of support and efficient node-based assembly system for Overhead Electricity Transmission Lines.
Objective: Compactness, Cost Reduction and Sustainability in overhead line supports.
Design of an anisogrid support for 220 and 400 kV lines using the node designed by Anisopter. Fabrication and testing of the designed node.
To optimise system operation and increase network flexibility and resilience
Completed

In this project, a hybrid device has been developed and tested, capable of providing different flexibility services to the electricity system, especially in isolated systems such as the one in the Canary Islands. The device integrates a statcom, a lithium-ion battery and supercapacitors, optimally coordinated and managed by an advanced control system.
Define the technical and functional requirements.
Develop the control architecture.
Prototype engineering
Develop the central control system for the coordinated operation of various flexibility devices.
Manufacture of equipment, FAT testing and installation.
Operation of the device and evaluation of functions .
To improve the sustainability of our processes and activities
Active

The PLATEA RENEWABLE project aims to provide a renewable power supply system for auxiliary services in a substation as an alternative to the use of a generator set.
Its main objective is to reduce environmental pollution by means of a hybrid generation system (photovoltaic+batteries) and to make the system portable for use in other locations.
• Combine the various energy sources (solar, batteries and generator set) and provide the charge with the power required by it.
• Obtain maximum use of renewable sources.
• Manage the charging of the batteries.
• Monitoring and Supervision System: to control the operation of the system and the functioning of each of its elements.
To increase the safety and well-being of our employees.
Active

SafeDelimit is a hardware product for safe area delimiting at industrial environments. Thanks to its LiDAR capabilities, it is able, once programmed, to warn the technician or operator that he is entering an area of the installation in which, for safety reasons, he must not be. This solution won the DESPEGA intra-entrepreneurship program held in Redeia.
SafeDelimit is an innovation initiative winner of Redeia’s DESPEGA intrapreneurship program. During the first phase, the fit of the solution was tested, as well as its feasibility and potential for implementation at Redeia.
The first prototype of SafeDelimit was developed over a six month period and its operation was validated in a controlled environment.
MVP development, validation by Redeia's professionals and study of the solution's market fit.
- Intrapreneurship
- ¿Qué motiva a nuestros intraemprendedores? (Available only in Spanish)
- Intrapreneurship in first person: Manuel Martínez
Improvement and development of methodologies for automation optimising of asset inspection and diagnostics
Active

Based on technologies such as internet of things, artificial intelligence and data analytics, ASUMO aims to improve procedures and activities related to maintenance, engineering and construction areas in order to optimise and automate transport network infrastructure development processes, as well as in-service asset management.
• Technical-economic analysis and scalability study of the adopted solutions.
Improving the integration of renewable energy sources
Active

The Virtual Synchronous Compensator (ViSynC) project is a crucial initiative on the path towards the ecological transition and the integration of renewable energy sources in the electricity system. Its relevance lies in the growing need to increase energy storage capacity in Spain to meet ambitious energy and climate targets. ViSynC addresses this challenge by developing a hybrid storage system combining lithium-ion batteries and ultracapacitors, managed in synchronous grid-forming mode, which allows maintaining grid stability and improving the integration of intermittent renewable energy sources.
ViSynC is an example of how Elewit is at the forefront of the energy transformation, leading the way towards a cleaner and more sustainable future. In this project we work with other companies, such as: Redeia, Red Eléctrica, Hesstec, CEN Solutions, S2 Grupo and CERE.
The ViSynC project is supported and funded by the following institutions:

The project is divided into the following work items:
- 1. System Design.
- 2. Device Development.
- 3. Implementation.
- 4. Validation and comissioning.
- 5. System evaluation and conclusions: operation of the system connected to the transmission grid and analysis of the device's contribution to the grid.
- 6. Consortium coordination and management.
• Improve the economic viability of storage systems.
• Optimised hybrid lithium-ion and ultracapacitor storage solution capable of providing multiple services to the system.
Optimize system operation and increase reliability and flexibility of the grid
Active

The project aims to develop a transmission grid based on local and remote monitoring and sensors, operating with transmission categories calculated in real time. These capacities are calculated using a thermal model of the line and data obtained from the monitoring of immediate atmospheric conditions and/or the physical parameters of the installation along its full length. This will enable us to access the capacity that has so far been blocked by the circuits, giving us better knowledge of their real conditions. The result is more flexible and safer operations.
Identify needs and design.
Implementation.
Validation.
Consolidation and expansion.
Optimize system operation and increase reliability and flexibility of the grid
Active

Newton is Red Eléctrica’s calculation programme. It is easy to extend, integrate and maintain. It is state-of-the-art in power flow, linear calculations and other essential functions. Newton’s architecture is designed for the desktop as much as the cloud, capable of massive calculations and integration with AI for the planning and operation of electricity systems.
Minimum Viable Product
Internal adaptation phase
Product conformity phase
Adaptation of the roadmap to detected needs, maintaining the product’s dimension and vision
To optimise activities and transversal processes
Active

Implementation of Process Mining for the analysis and identification of inefficiencies such as bottlenecks, degree of automation, rejections, approval flow times, and opportunities to optimise the business processes of the company. The incubation project will test different Process Mining tools and will design and optimise the application flow of this type of techniques in corporate processes.
Objective: To optimise business processes in the sales/purchasing areas in order to reduce costs.
To implement the process mining technique/technology in Red Eléctrica as another service within the DTI portfolio.
To optimise system operation and increase network flexibility and resilience
Active

At #Elewit, together with Accenture, we are developing a pilot project to predict the capacity of lines in future time horizons, as the calculation and prediction of the capacity of overhead electricity lines (DLR) is key, among other things, to improve the safety of the lines, to minimise the damage caused by breakdowns and failures and to contribute to guaranteeing supply and the balance between demand and generation.
• To improve the accuracy and extend the models developed by Red Eléctrica for the prediction of meteorological variables
• To implement the different algorithms, sending the predictions to other Red Eléctrica systems
• Systematic evaluation of their operation and continuous monitoring of their accuracy
To improve network development and asset management efficiency
Active

Review is a product designed to centralise the design of electricity models, allowing integration with third parties while enabling the evolution and customisation of the data that represents the network. Review is designed to maximise process automation, increasing process efficiency by around 1300%.
• Web interface substation designer
• Asset manager
• Fractal model management
• Interactive multi-user sessions
Optimize system operation and increase reliability and flexibility of the grid
Completed

Current automatic substation systems are distributed systems in which the software is associated with specific hardware. Therefore, the possibility of innovating with new algorithms is conditioned by the existing software-hardware assemblies.
Through this project, we intend to create an executable software platform on general hardware platforms, applying Edge technology concepts and microservices, creating a virtualised environment capable of implementing the functions of the automatic substation system and with a high capacity for integrating new functions into the system.
Project carried out together with partners NEARBY Computing, CIRCE, ZIV Automation, Indizen and INDRA-Minsait.
Definition of a MVP for one bay sub-station automation system.
Scaling up of the MVP for a complete sub-station.
Validation of the PMV developed in a real conditioned environment.
To optimise system operation and increase network flexibility and resilience
Active

Its goal is to see the real level of small-scale self-supply (P <1MW) because there is no plan for real-time measurements or metering for the amount generated. The information, however, is available in the IoT and the cloud. The platform makes monitoring possible in real time, enabling us to estimate production in the system and to make forecasts.
Minimum Viable Product: platform created and integrated with data from manufacturers of inverters (registration and collection of data) and self-supply assets. Enable operations in real time and issue self-supply certificates.
Self-consumption platform with generation data from different self-consumers' facilities
Increase employees safety and wellness
Active

This project is intended to ensure the safety of people and facilities in discharge operations, removing situations of risk for operators associated with their work in protected zones and accompanying tasks, as part of the Red Eléctrica Group’s strategic goal of “zero accidents”.
Minimum Viable Product: basic offline implementation (without integrations) and operations.
Satisfaction survey.
To improve network development and asset management efficiency
Active

Strategos is a calculation tool that enables the optimisation of the portfolio of investment projects for the development and maintenance of the electricity transmission network. Through the implementation of Machine Learning techniques and Redeia's own know-how, the tool optimises decision-making when executing a set of investment projects.
In addition, it allows to simulate and estimate the risks associated with the implementation of projects, thus helping decision-making.
Project portfolio optimisation and simulation tool
To optimise system operation and increase network flexibility and resilience
Active

Real-Time Inertia Calculation of the Lanzarote-Fuerteventura system. To validate a system that provides continuous, real-time measurement of the inertia of the Lanzarote-Fuerteventura system based on the measurements provided by the PMUs currently installed in the system.
The off-line study of the fuerteventura-lanzarote system is being carried out to validate the measurement of inervia in real time.
Operación del sistema eléctrico e integración de renovables
Activo

Barbara IoT desarrolla una herramienta basada en edge computing para obtener en tiempo real una representación del estado en que se encontraban los elementos de una subestación eléctrica en el momento de producirse un incidente (típicamente, un cortocircuito). De esta manera, los técnicos podrán disponer de los datos tanto para monitorización como para análisis en un tiempo mucho menor al actual.
El edge computing es un tipo de computación in-situ que, apuesta por recolectar y procesar los datos desde el mismo hardware en lugar de enviarlos a la nube y otros destinos para su computación, como hacen la mayoría de los elementos basados en tecnología IoT (Internet of Things) que tienen un carácter más pasivo.
Fase I: Superadas satisfactoriamente las pruebas en laboratorio.
Fase II: En proceso de poder validación en entornos relevantes, para poder estudiar su implantación en Red Eléctrica.
• Mejora en la fiabilidad del sistema: si se identifican las causas de un disparo, se pueden tomar medidas para prevenir futuras fallas y mejorar la confiabilidad de todo el sistema eléctrico.
• Mantenimiento predictivo de la red: al analizar eventos de disparo, se pueden implementar estrategias de mantenimiento en los componentes antes de que ocurran fallas.
• Optimización de la operación de las subestaciones: la información que proporciona el estudio de eventos de disparo se puede utilizar para optimizar la operación de las subestaciones y mejorar la eficiencia en la transmisión y distribución de energía.
To improve network development and asset management efficiency
Active

Development of a real-time interface able to reliably identify the open/closed/intermediate status of the disconnector and to deliver all the disconnector data to a VR platform, allowing the technician have an overview of the status and minimise the visual inspection time of the disconnector, reducing costs and man-hours of this activity.
Objective: To achieve predictive maintenance of the disconnector, controlling all its variables, minimising and even eliminating the local operating costs associated with disconnector operations.
Validation of the developed system in a real environment.
To improve the sustainability of our processes and activities
Completed

The aim of the project is to identify the most stable compound capable of detecting a minimum concentration OF SF6 through the generation of heat and to apply it in a highly flexible tape together with a thermochromic compound that allows it to change colour with increasing temperature. Given the properties of Lithium to generate an exothermic reaction in the presence of SF6, we will try to develop the sensor for the localisation of SF6 leaks with a tape format to facilitate its application at the junction points of the different elements of the GIS cells.
This would provide a tape that is easy to apply to joints and junction points that would be sensitive to the presence of SF6 and would change colour in the area where a leak is identified.
Stable compounds that detect minimal SF6 concentrations by generating heat, applied to a tape that changes colour with increasing temperature.
To improve network development and asset management efficiency
Active

The project is intended to define the roadmap for insulator monitoring and, where appropriate, to further develop and test prototypes and systems for this purpose.
In-house development of a first prototype of an insulator monitoring equipment.
To improve network development and asset management efficiency
Active

Solution benchmark (2) and service models for submarine cable sensing via optical fibre. Calibration and characterisation tests will be performed in a real environment and then a benchmarking period of approximately 2-3 weeks will be initiated with each solution.
Validation of a submarine cable monitoring system capable of detecting and classifying the main potentially hazardous events for the cable.
To improve the sustainability of our processes and activities
Active

Elewit is working on a project that consists, on the one hand, in the implementation of a sensor that identifies the presence of sulphur hexafluoride and quantifies its concentration in ppm in the high voltage compartment isolated with SF6 gas, while, on the other hand, it is also developing and validating the electronics necessary to adapt the signal obtained from the sensor to a quantifiable measurement in engineering units, as well as the communications circuits to facilitate its transmission and thus improve predictive maintenance.
This proposed use case essentially takes advantage of the multi-connective and ultra-reliable nature associated with 5G technology. The tests are run in the the Morvedre sub-station, close to Sagunto.
• Development of a sensor that identifies the presence of sulphur dioxide.
• Development and validation of the electronics necessary to adapt the signal obtained from the sensor to a quantifiable measurement in engineering units.
• Installation of the sensor in a switch at the Morvedre substation.
To improve the sustainability of our processes and activities
Completed

This solution will enable the recovery of SF6 leaked from GIS facilities by means of adsorbent materials (commercial, modified or synthesised compounds). The developed system will effectively contribute to the reduction of greenhouse gas emissions to the atmosphere in the event of leaks in SF6 equipment in the transport network.
Acquire and classify different absorbent materials.
Determine their capacity to absorb SF6.
Assess the absorption of SF6 in simulated conditions of SF6 leaks.
Assess the absorption of SF6 in real conditions of 6 leaks.
• Acquisition and characterisation of different adsorbents.
• Determination of their SF6 adsorption capacity.
• Evaluation of SF6 adsorption under simulated SF6 leakage conditions.
• Evaluation of SF6 adsorption under real SF6 leakage conditions.
Improve network development and asset management efficiency
Active

In this project, low-cost IoT devices that are minimally invasive are developed, in order to monitor the dynamic response of safety elements and detect unsafe behaviours when carrying out work on transmission grid elements.
Design and manufacturing of prototype(s)
Validation of prototype(s) in transmission grid elements
Validation of the MVP in transmission grid elements
Industrialisation and integration to third parties
Optimizar y automatizar la seguridad de las tecnologías de la información y de las tecnologías de la operación
Completed

The CounterCraft company has a cyber deception platform that consists of recreating realistic virtual environments to deceive potential attackers and extract as much information as possible about them. The CounterCraft pilot had a twofold objective: on the one hand, a mock-up of a power substation connected to the internet was created, emulating the data traffic and accessible functionality as if it were a real, physical substation.
The CounterCraft tool monitored this mock-up to obtain information and profile the attackers (locations, IPs, tools and scripts, vulnerabilities, etc.). On the other hand, the information emulated by the mock-up was collected to extend this tool and thus facilitate the deployment of new realistic virtual mock-ups while Countercraft completes its range of solutions. The project was successfully completed and has provided relevant information that will undoubtedly increase the resilience of the systems, leading to further proofs of concept.
Blind exposure of public IP to the internet.
Dissemination of internet "hints" to public IP of simulated substation.
Validation in a laboratory environment emulating a real system.
Optimization and automation of OT and IT security
Active










The objective of the SLISE project is to mitigate the vulnerabilities that the new virtualization technologies adopted massively at the core of the 5G architecture (and which are already part of the technical drafts of the sixth generation) have dragged into the new paradigm of communications as a service. Specifically, research into new algorithms is proposed: incident analysis, encryption, radio attack detection identification and automated response; in a more flexible context to face the risks inherent to virtualization technologies: Network Function Virtualization (NFV), Software Defined Networks (SDN) and Network Slicing (NS). All this will be studied, defining demanding indicators that broadly cover these objectives, in a set of use scenarios that present different protection priorities and that include the use of communications in the context of critical infrastructure management, as well as the use of communications in the manufacturing industry.
Definition of requirements and use cases.
Definition of 5G system protection and detection of attacks and anomalies.
Demonstrator Deployment.
Evaluation.
To generate new services and business models around current assets
Active

The objective of this project is to validate the electricity infrastructures of Red Eléctrica as a suitable site for 5G systems. In this way, a roadmap is established with the implementation of several minimum viable products (MVP) with which to accumulate experience on the installation of 5G systems in the networks (requirements, special needs, etc.) and to check the possible impact on the environment of the facilities themselves.
Installation of 5G antennas in a substation.
Installation of solar panels on an electricity support to autonomously power satellite equipment also installed on the same support.
Installation of 5G antennas on an electricity support with power supply via power voltage transformer (PVT) to 5G equipment.
Installation of a disconnector in the support to isolate the PVT in case of failure.
Optimize system operation and increase reliability and flexibility of the grid
Completed

Together with Orange, Huawei and the Red Eléctrica Group, we are working to develop a pilot that can analyse the potential of 5G technology for protection, control and automation systems. The pilot will show the potential of 5G for these systems: they will become independent from the means of access to the communications network (fibre optics or 5G), which makes it possible to make new designs and optimise the infrastructure required, making it suitable to the needs, criteria and philosophy of the different agents. There are 3 different scenarios proposed to replace usual communications via fibre optics with 5G radio solutions:
- 5G for WAMPAC
- 5G for line protections
- 5G to deploy the process bus outside the sub-station
- Replace the line protection by its digital twin
use 5G technology to replace the communications between phasor measurement units (PMU) in the sub-stations and a phasor data concentrator (PDC), located in a remote location.
Analysis of 5G communications of line differential protection equipment located at each end of a power line, the sending of digitalised analogue measurements to a remote location, again using 5G to access the communications network.
Enable connectivity everywhere
Completed

Together with Orange, Huawei, Arbórea Intellbird and Hispasat we are implementing 5G technology to make real time analyses of accident scenarios in critical infrastructures, enabling us to carry out inspections of critical aspects of our infrastructures using remotely controlled and robotic systems.
This will improve our response time by incorporating inspection processes and the analysis of critical infrastructures, increasing their safety. It is also proposed to include communication satellites as backup for the terrestrial 5G network via Network Slicing in different situations.
The layout of the high-voltage line, along with various Red Eléctrica sub-stations in the Community of Valencia will be the sites selected to run a test that will place special emphasis on the first section of the Morvedre-Eliana line.







