Electrical Grid Digital Twins Course
Online 300 h course in electrical grid digital twins. 6 modules covering IEC 61970 (CIM), IEC 61968 and DIgSILENT PowerFactory. Assigned tutor and open enrolment.
Take the controls.
Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Define the concept, components and maturity levels of a grid digital twin.
Build physical models of electrical networks for simulation.
Synchronise the model with SCADA, PMU and GIS data.
Apply the digital twin to contingency and congestion analysis.
Design the platform architecture and its cybersecurity.
Assess the operational and economic benefits of the digital twin.
Develop a digital twin pilot for an electrical grid.
Who it's for
- Digital twin engineer wanting to specialise in Electrical Grid Digital Twins.
- Electrical power systems engineer wanting to specialise in Electrical Grid Digital Twins.
- Grid operations analyst wanting to specialise in Electrical Grid Digital Twins.
- Energy platform architect wanting to specialise in Electrical Grid Digital Twins.
- Network simulation specialist wanting to specialise in Electrical Grid Digital Twins.
- Innovation consultant in utilities wanting to specialise in Electrical Grid Digital Twins.
- Graduates in engineering or science seeking to enter electricity transmission.
What you'll work with
- IEC 61970 (CIM)
- IEC 61968
- IEC 61850
- IEC 62443
- IEEE C37.118
- ENTSO-E CGMES
6 modules · 300 h
1.1Definition and maturity levels of the digital twin1.2Digital twin versus offline simulation1.3Components: physical model, data and synchronisation1.4Use cases in transmission and distribution1.5European grid digital twin initiatives1.6Layered reference architecture1.7Latency and fidelity requirements1.8Integration with EMS and ADMS systems1.9Return on investment of the digital twin1.10Workshop: defining use cases for an operator
2.1Models of lines, cables and transformers2.2Models of synchronous and converter-based generation2.3Static and dynamic load models2.4Load flow and short-circuit analysis2.5Electromagnetic and phasor simulation2.6Protection modelling2.7Dynamic thermal rating models2.8Model reduction and network equivalents2.9Validation against field measurements2.10Laboratory: modelling a distribution network in OpenDSS
3.1SCADA and PMU data ingestion3.2State estimation3.3Common Information Model (CIM)3.4Real-time topology updating3.5Fusion of GIS and asset data3.6Calibration of model parameters3.7Handling missing and erroneous data3.8Data streaming platforms3.9Co-simulation with mosaik and HELICS3.10Practical exercise: state estimation with PMU data
4.1Real-time contingency analysis4.2Assessment of generation hosting capacity4.3Congestion management4.4Outage and switching planning4.5Operator training4.6Simulation of extreme failure scenarios4.7Integration of electric vehicles and storage4.8Condition-based asset management4.9Climate resilience assessment4.10Case study: renewable hosting capacity analysis
5.1Cloud, edge and hybrid architectures5.23D and georeferenced visualisation5.3Interoperability and open standards5.4Cybersecurity of the digital twin5.5Model and data governance5.6Scalability to national grids5.7Teams and required skills5.8Experiences of European operators5.9Deployment roadmap5.10Case study: digital twin architecture for a distribution company
6.1Selection of the pilot grid6.2Definition of use cases6.3Building the physical model6.4Integration of data sources6.5Calibration and validation6.6Development of an operational application6.7Assessment of benefits6.8Scaling plan6.9Report and presentation6.10Final review with the tutor
How you'll learn
Fully 100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: students progress at their own pace within the intake, which makes it possible to combine study with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is DIgSILENT PowerFactory, OpenDSS, pandapower, PSS®E, HELICS, in free, academic or evaluation versions. The practical tests are based on real procedures: building a distribution network model, state estimation with PMU data, and renewable hosting capacity analysis. Assessment is continuous per module, plus the final integrating project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Define the concept, components and maturity levels of a grid digital twin.
Build physical models of electrical networks for simulation.
Synchronise the model with SCADA, PMU and GIS data.
Apply the digital twin to contingency and congestion analysis.
Design the platform architecture and its cybersecurity.
Where this takes you
Requirements
- No prior degree required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient level of Spanish to follow technical standards reading.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme totals 300 hours, spread over 3 to 5 months. That is between 10 and 15 hours a week on average, compatible with a full-time job.
The programme uses DIgSILENT PowerFactory, OpenDSS, pandapower, PSS®E, HELICS. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
SEIUM's own diploma, awarded on passing the continuous assessment and the final integrating project. It is in-house training, not an official Ministry title.
Yes. Modules passed in a course or postgraduate diploma in the same area are credited towards the higher programme. Check the recognition policy when you enrol.
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