Master’s in V2G, Aggregation and DERMs Engineering — Energy Markets, Aggregators and Revenue Stacking
Online master's programme of 1,900 hours in V2G, aggregation and DERMS engineering — energy markets, aggregators and revenue stacking. 12 modules covering distributed energy resources, bidirectional charging, electricity markets, fleet aggregation, DERMS platforms, optimisation and control, revenue stacking, local flexibility, interoperability, regulation and business models, with an assigned technical tutor.
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
Analyse the potential of distributed energy resources as a source of flexibility.
Describe how electricity and balancing markets work.
Design aggregation strategies for electric vehicle fleets.
Implement interoperable DERMS architectures.
Optimise resource dispatch using MILP and stochastic techniques.
Value revenue stacking in economic terms.
Develop an aggregation project with bidirectional charging.
Who it's for
- Flexibility aggregation engineers building virtual power plants.
- Electricity market analysts.
- DERMS systems engineers.
- V2G product managers at OEMs, CPOs and energy companies.
- Energy traders working in balancing and intraday markets.
- Energy regulation consultants.
- Engineering or science graduates seeking to enter the energy sector.
What you'll work with
- Directive (EU) 2019/944 (internal electricity market)
- ISO 15118-20 (vehicle-to-grid communication interface)
- Regulation (EU) 2017/2195 (EBGL, electricity balancing guideline)
- IEEE 2030.5 (smart energy profile application protocol)
- IEC 61850-7-420 (communication for distributed energy resources)
- Regulation (EU) 2016/631 (RfG, requirements for generators)
- Regulation (EU) 2024/1747 (electricity market design)
- IEEE 1547 (interconnection of distributed energy resources)
- Python with Pyomo
- GAMS
- MATLAB
- PLEXOS
- pandapower
12 modules · 1900 h
1.1Types of DER: PV, BESS, EVs and heat pumps1.2Distributed generation and self-consumption1.3Electric vehicles as a flexible resource1.4Thermal loads and flexible HVAC1.5Local energy communities1.6Virtual power plants1.7Role of the independent aggregator1.8DER models in active networks1.9Energy digitalisation trends1.10Case study: DER inventory in a municipality
2.1Bidirectional charger topologies2.2AC and DC V2G2.3ISO 15118-20 requirements for V2G2.4Grid-mode inverter control2.5Certification to grid codes2.6Battery degradation from additional cycling2.7Manufacturer warranties and V2G2.8Compatible vehicle models2.9V2H and V2B in buildings2.10Lab: bidirectional power control
3.1Day-ahead and intraday markets3.2Continuous intraday markets3.3aFRR and mFRR balancing services3.4Frequency containment reserve (FCR)3.5Technical constraints and congestion3.6European PICASSO and MARI platforms3.7Imbalance prices and settlement3.8Marginal price formation3.9Capacity markets3.10Practical: day-ahead market bid simulation
4.1Aggregators and their regulatory status4.2Prequalification requirements with the TSO4.3Aggregate modelling of EV fleets4.4Stochastic vehicle availability4.5Baselines and service measurement4.6Telemetry and communications with the TSO4.7Contracts with vehicle owners4.8Aggregation of heterogeneous resources4.9Non-delivery risks4.10Workshop: aggregate flexibility curve
5.1Architecture of a DERMS5.2Integration with ADMS and SCADA5.3Management of grid constraints5.4Optimal DER dispatch5.5IEEE 2030.5 and OpenADR protocols5.6IEC 61850 information model5.7Generation and demand forecasting5.8Cybersecurity of DERMS platforms5.9Vendors and commercial solutions5.10Lab: constrained DER dispatch
6.1Mixed-integer linear optimisation6.2Stochastic and robust optimisation6.3Model predictive control for aggregators6.4Fleet charging scheduling6.5Optimisation under price uncertainty6.6Reinforcement learning in markets6.7Distributed and decentralised algorithms6.8Scalability of dispatch algorithms6.9Validation with real data6.10Practical: MILP optimisation of a V2G fleet
7.1The concept of revenue stacking7.2Hourly price arbitrage7.3Frequency and balancing services7.4Reduction of the capacity charge7.5Local flexibility for the DSO7.6Compatibility between services7.7Prioritisation and capacity allocation7.8Risk of revenue cannibalisation7.9Economic valuation by service7.10Workshop: revenue stacking model
8.1Local flexibility markets8.2Congestion management by the DSO8.3Scheduled flexibility products8.4European flexibility platforms8.5TSO, DSO and aggregator coordination8.6Verification of the service delivered8.7Remuneration and contracts8.8Experiences in the United Kingdom and the Netherlands8.9Regulatory barriers in Spain8.10Case study: a DSO flexibility tender
9.1OCPP protocol for bidirectional charging9.2OpenADR 2.0b protocol9.3IEEE 2030.5 and its CSIP profile9.4IEC 61850-7-420 standards for DER9.5Interface with vehicle platforms9.6Car manufacturer APIs9.7Telemetry latency and reliability9.8Communications cybersecurity9.9Interoperability testing9.10Lab: OpenADR integration with a charger
10.1Electricity Market Directive 2019/94410.2The independent aggregator in Spain10.3EBGL balancing regulation10.4RfG grid code requirements10.5Self-consumption and energy communities10.6Double taxation of storage10.7Consumer protection10.82024 electricity market design reform10.9Regulatory evolution of V2G10.10Practical: regulatory analysis of an aggregator
11.1Independent aggregator versus supplier11.2Models with car manufacturers11.3Corporate fleets and V2G11.4Building services and V2B11.5Revenue sharing with the user11.6Software-as-a-service platforms11.7Valuation of flexibility companies11.8Market entry strategy11.9Business risk analysis11.10Case study: business plan for an aggregator
12.1Definition of the resource portfolio12.2Characterisation of flexibility12.3Selection of markets and services12.4Design of the DERMS architecture12.5Optimisation and dispatch algorithm12.6Economic assessment of revenue stacking12.7Regulatory and risk analysis12.8Conclusions and implementation plan12.9Master's Thesis report12.10Master's Thesis: defence before a panel
How you'll learn
100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetables: you progress at your own pace within the intake, so it can be combined with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Python with Pyomo, GAMS, MATLAB, PLEXOS and pandapower, in free, academic or evaluation versions. Testing is studied through real procedures for simulating participation in balancing markets, optimising fleets with bidirectional charging and interoperability testing of DER protocols. Assessment is continuous by module, plus the final Master's Thesis.
Standards covered: Directive (EU) 2019/944 (internal electricity market), ISO 15118-20, Regulation (EU) 2017/2195 (EBGL), IEEE 2030.5, IEC 61850-7-420, Regulation (EU) 2016/631 (RfG), Regulation (EU) 2024/1747 (electricity market design), IEEE 1547.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Where this takes you
Requirements
- A university degree in engineering, science or architecture, or equivalent demonstrable professional experience.
- An internet connection and a computer able to run the programme 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.
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 Python with Pyomo, GAMS, MATLAB, PLEXOS and pandapower, 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, plus a computer able to run the programme 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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