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Master’s in Digital Twin Engineering for Energy and Grids

Online master's programme of 1,900 hours in digital twin engineering for energy and power grids. 12 modules covering power systems, grid digital twins, renewables and distributed resources, dynamic and real-time simulation, energy data analytics, grid operation, asset twins, microgrids, grid planning, communications and cybersecurity, and regulation and markets, with an assigned technical tutor.

Duration1900 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Model power grids for load flow and stability studies.

02

Build grid digital twins from CIM models.

03

Integrate distributed energy resources into the twin.

04

Apply analytics and machine learning to energy data.

05

Optimise the operation of active networks and microgrids.

06

Assess the cybersecurity of digitalised power systems.

07

Plan grids in light of the energy transition and regulation.

Profile

Who it's for

  • Power systems engineers who want to build and exploit grid digital twins.
  • Energy digital twin engineers working on networks and assets.
  • Energy data analysts handling smart meter, SCADA and PMU data.
  • Grid operation engineers managing active distribution networks.
  • Network planners assessing electrification and hosting capacity.
  • Renewable integration engineers dealing with grid connection and stability.
  • Engineering or science graduates aiming to enter electricity distribution.
Standards & tools

What you'll work with

  • IEC 61970-301 (Common Information Model (CIM) base)
  • IEC 61850 (communication networks and systems for power utility automation)
  • IEC 62351 (security for power system communications)
  • Regulation (EU) 2016/631 (requirements for grid connection of generators)
  • IEC 61968 (CIM for distribution management)
  • Directive (EU) 2019/944 (common rules for the internal electricity market)
  • Directive (EU) 2022/2555 (NIS2)
  • IEEE 1547 (interconnection of distributed energy resources)
  • pandapower
  • DIgSILENT PowerFactory
  • OpenDSS
  • PSS/E
  • MATLAB Simscape Electrical
Syllabus

12 modules · 1900 h

  1. 1.1Structure of the power system
  2. 1.2Generation, transmission and distribution
  3. 1.3Phasors and complex power
  4. 1.4Per-unit system
  5. 1.5Modelling of lines and transformers
  6. 1.6Load flow
  7. 1.7Short-circuit calculation
  8. 1.8Frequency and voltage stability
  9. 1.9System operation and markets
  10. 1.10Case study: load flow in a distribution network
  1. 2.1The power grid twin concept
  2. 2.2Grid model with CIM IEC 61970
  3. 2.3Topology and connectivity
  4. 2.4SCADA, smart meter and PMU data
  5. 2.5State estimation
  6. 2.6Synchronisation with the real grid
  7. 2.7Twins for planning and operation
  8. 2.8Software platforms
  9. 2.9Grid model quality
  10. 2.10Lab: grid model in pandapower from CIM
  1. 3.1Modelling of photovoltaic plants
  2. 3.2Modelling of wind turbines
  3. 3.3Inverters and grid-following and grid-forming control
  4. 3.4Battery storage
  5. 3.5Electric vehicles and charging
  6. 3.6Self-consumption and energy communities
  7. 3.7Grid connection requirements
  8. 3.8Renewable generation forecasting
  9. 3.9Integration into the twin
  10. 3.10Practical exercise: twin of a photovoltaic plant
  1. 4.1Electromechanical transient simulation
  2. 4.2Electromagnetic transient simulation
  3. 4.3Real-time simulation
  4. 4.4Hardware and power hardware in the loop
  5. 4.5Co-simulation of power grid and communications
  6. 4.6Converter models
  7. 4.7Stability studies with renewables
  8. 4.8Validation of dynamic models
  9. 4.9Commercial power system simulation tools
  10. 4.10Lab: transient stability with renewable penetration
  1. 5.1Smart meters and consumption data
  2. 5.2Demand forecasting
  3. 5.3Detection of non-technical losses
  4. 5.4Customer profiles
  5. 5.5PMU analytics
  6. 5.6Grid anomaly detection
  7. 5.7Quality of supply
  8. 5.8Grid visualisation
  9. 5.9Privacy of consumption data
  10. 5.10Workshop: demand forecasting with machine learning
  1. 6.1Management of active distribution networks
  2. 6.2Voltage and reactive power control
  3. 6.3Network reconfiguration
  4. 6.4Congestion management
  5. 6.5Flexibility and local markets
  6. 6.6ADMS and DERMS systems
  7. 6.7Service restoration
  8. 6.8Adaptive protection in active networks
  9. 6.9Optimising operation with the twin
  10. 6.10Practical exercise: optimal power flow with distributed resources
  1. 7.1Transformer twins
  2. 7.2Wind turbine twins
  3. 7.3Battery twins and state of health
  4. 7.4Cable and line twins
  5. 7.5Dynamic thermal monitoring
  6. 7.6Predictive maintenance of assets
  7. 7.7Ageing management
  8. 7.8Physical and data-driven models
  9. 7.9Integration with asset management
  10. 7.10Lab: thermal twin of a transformer
  1. 8.1Microgrid architecture
  2. 8.2Primary, secondary and tertiary hierarchical control
  3. 8.3Optimal energy management
  4. 8.4Islanded operation
  5. 8.5Coupling of electricity, heat and hydrogen
  6. 8.6District heating and cooling networks
  7. 8.7Buildings as flexible resources
  8. 8.8Simulation of multi-energy systems
  9. 8.9Case studies
  10. 8.10Workshop: energy management of a microgrid
  1. 9.1Expansion planning
  2. 9.2Electrification scenarios
  3. 9.3Hosting capacity
  4. 9.4Probabilistic planning studies
  5. 9.5Planning with flexibility
  6. 9.6Cost-benefit analysis of investments
  7. 9.7Resilience to extreme events
  8. 9.8Integration of storage
  9. 9.9Regulated investment plans
  10. 9.10Practical exercise: hosting capacity analysis of a network
  1. 10.1Substation automation with IEC 61850
  2. 10.2IEC 60870-5-104 and DNP3 protocols
  3. 10.3Time synchronisation with PTP
  4. 10.4Cybersecurity in power systems with IEC 62351
  5. 10.5The NIS2 Directive in the energy sector
  6. 10.6Network code on cybersecurity
  7. 10.7Documented attacks on power grids
  8. 10.8Resilience and recovery
  9. 10.9Twins for cybersecurity training
  10. 10.10Case study: threat analysis of a digital substation
  1. 11.1EU internal electricity market
  2. 11.2Transmission and distribution system operators
  3. 11.3European network codes
  4. 11.4Network remuneration
  5. 11.5Flexibility markets
  6. 11.6Energy communities and regulation
  7. 11.7Energy transition and targets
  8. 11.8Energy data and access
  9. 11.9Regulatory innovation and sandboxes
  10. 11.10Case study: regulatory assessment of a flexibility service
  1. 12.1Definition of the energy system
  2. 12.2Grid and asset modelling
  3. 12.3Data integration
  4. 12.4Development of the twin
  5. 12.5Scenario simulation
  6. 12.6Analytics and optimisation
  7. 12.7Technical and economic assessment
  8. 12.8Conclusions and proposals
  9. 12.9Master's Thesis report
  10. 12.10Master's Thesis: defence before a panel
Methodology, software & labs

How you'll learn

100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within the intake, so you can combine it with your job.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is pandapower, DIgSILENT PowerFactory, OpenDSS, PSS/E and MATLAB Simscape Electrical, in free, academic or evaluation versions. Practical work is based on real procedures: a digital twin of a distribution network, stability simulation with high renewable penetration and energy management of microgrids. Assessment is continuous by module, plus the final Master's Thesis.

Standards covered: IEC 61970-301, IEC 61850, IEC 62351, Regulation (EU) 2016/631, IEC 61968, Directive (EU) 2019/944, Directive (EU) 2022/2555, IEEE 1547.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of IEC 61970-301, IEC 61850 and IEC 62351 applied to real cases, not as a theoretical annex.
Industry software:pandapower, DIgSILENT PowerFactory, OpenDSS, PSS/E and MATLAB Simscape Electrical, in free, academic or evaluation versions.
Master's Thesis with defence:A digital twin of a real energy system integrating grid, assets and data, with scenario simulation and technical-economic assessment, defended before a panel.
Flexible format:100% online, no fixed timetables, compatible with full-time work.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Build the grid model
Create a pandapower grid model from CIM and run load flow studies.
Integrate distributed resources
Model a photovoltaic plant and storage and add them to the twin.
Test dynamic stability
Simulate transient stability with high renewable penetration.
Optimise grid operation
Run optimal power flow and microgrid energy management on the twin.
Master's Thesis
A digital twin of a real energy system with scenarios, analytics and technical-economic assessment, defended before a panel.
Career opportunities

Where this takes you

Power systems engineerEnergy digital twin engineerEnergy data analystGrid operation engineerNetwork plannerRenewable integration engineer
Admissions & scholarships

Requirements

  • A university degree in engineering, science or architecture, or equivalent demonstrable professional experience.
  • An internet connection and a computer capable of running the programme's software.
  • English sufficient to read technical standards.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

Apply now Scholarships
FAQ

Frequently asked questions

The programme totals 1,900 hours over 12–14 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with pandapower, DIgSILENT PowerFactory, OpenDSS, PSS/E and MATLAB Simscape Electrical, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.

A SEIUM Institute diploma, awarded on passing the continuous assessment and the Master's Thesis. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.

Yes. Modules passed in a course or postgraduate diploma in the same area are recognised in the higher programme. Ask about the recognition policy when you enrol.

A university degree in engineering, science or architecture (or equivalent professional experience), a computer able to run the programme's software and English sufficient to read technical standards.

Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.

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