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Postgraduate Diploma in Applied Dispatch Optimisation and Unit Commitment

Online 800-hour Postgraduate Diploma in Applied Dispatch Optimisation and Unit Commitment. 8 modules covering Regulation (EU) 2017/1485 (system operation guideline), Regulation (EU) 2015/1222 (capacity allocation and congestion management, CACM) and GAMS. Assigned tutor and open enrolment.

Duration800 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

Formulate the economic dispatch problem with network constraints.

02

Set up unit commitment models using mixed-integer programming.

03

Incorporate N-1 security constraints into the optimisation.

04

Model renewable uncertainty using stochastic and robust approaches.

05

Integrate storage and flexible resources into scheduling.

06

Explain the matching algorithms of European electricity markets.

07

Solve an applied dispatch and unit commitment case using optimisation software.

Profile

Who it's for

  • Operations planning engineer looking to specialise in Applied Dispatch Optimisation and Unit Commitment.
  • Energy optimisation analyst looking to specialise in Applied Dispatch Optimisation and Unit Commitment.
  • Electricity market operator looking to specialise in Applied Dispatch Optimisation and Unit Commitment.
  • Power systems modelling specialist looking to specialise in Applied Dispatch Optimisation and Unit Commitment.
  • Dispatch analyst looking to specialise in Applied Dispatch Optimisation and Unit Commitment.
  • Energy markets consultant looking to specialise in Applied Dispatch Optimisation and Unit Commitment.
  • Engineering or science graduates seeking to join system operators.
Standards & tools

What you'll work with

  • Regulation (EU) 2017/1485 (system operation guideline)
  • Regulation (EU) 2015/1222 (capacity allocation and congestion management, CACM)
  • Regulation (EU) 2017/2195 (electricity balancing)
  • Regulation (EU) 2019/943 (internal electricity market)
  • Law 24/2013 (Electricity Sector)
  • Regulation (EU) 1227/2011 (REMIT)
Syllabus

8 modules · 800 h

  1. 1.1Operational planning horizons
  2. 1.2Classical economic dispatch
  3. 1.3Cost curves and heat rates
  4. 1.4Technical constraints of units
  5. 1.5Operating reserves
  6. 1.6Market versus centralised dispatch
  7. 1.7Dispatch in high-renewable systems
  8. 1.8Scheduling input data
  9. 1.9Commercial tools: PLEXOS and similar
  10. 1.10Workshop: economic dispatch of five thermal units
  1. 2.1Optimality conditions and marginal costs
  2. 2.2Dispatch with losses and penalty factors
  3. 2.3Dispatch with ramp constraints
  4. 2.4Dispatch with network limits
  5. 2.5Quadratic programming
  6. 2.6Dynamic economic dispatch
  7. 2.7Hydro and thermal dispatch
  8. 2.8Dispatch with storage
  9. 2.9Local marginal prices
  10. 2.10Laboratory: economic dispatch with Pyomo
  1. 3.1MILP formulation of unit commitment
  2. 3.2Start-up and shut-down costs
  3. 3.3Minimum up and down times
  4. 3.4Compact and tight formulations
  5. 3.5Reserve constraints
  6. 3.6Lagrangian relaxation
  7. 3.7Solvers: Gurobi, CPLEX and HiGHS
  8. 3.8Solver parameter tuning
  9. 3.9Interpreting results
  10. 3.10Laboratory: unit commitment of a ten-unit system
  1. 4.1Unit commitment with security constraints
  2. 4.2PTDF distribution factors
  3. 4.3N-1 contingencies
  4. 4.4Cut generation and Benders decomposition
  5. 4.5Zonal reserve constraints
  6. 4.6Voltage and inertia constraints
  7. 4.7Preventive and corrective redispatch
  8. 4.8Computational scale
  9. 4.9Use cases at system operators
  10. 4.10Practice: SCUC with PTDF on a 24-node network
  1. 5.1Forecasting and uncertainty in scheduling
  2. 5.2Stochastic unit commitment
  3. 5.3Scenario generation and reduction
  4. 5.4Robust optimisation
  5. 5.5Probabilistic constraints
  6. 5.6Dynamic reserve sizing
  7. 5.7Intraday rescheduling
  8. 5.8Value of stochastic information
  9. 5.9Comparison of approaches
  10. 5.10Laboratory: stochastic unit commitment with wind scenarios
  1. 6.1Storage in unit commitment
  2. 6.2Pumped hydro
  3. 6.3Demand response
  4. 6.4Hydrogen and seasonal storage
  5. 6.5Inertia and stability services
  6. 6.6Curtailment limitation
  7. 6.7Interconnections
  8. 6.8Coupling with the gas network
  9. 6.9Cost of flexibility
  10. 6.10Case study: value of storage in a 70 % renewable system
  1. 7.1EUPHEMIA European coupling algorithm
  2. 7.2Complex and block orders
  3. 7.3Continuous intraday market
  4. 7.4Balancing market and European platforms
  5. 7.5Dispatch of technical constraints in Spain
  6. 7.6Unit commitment markets in the United States
  7. 7.7Scarcity pricing
  8. 7.8Impact of formulation on prices
  9. 7.9Transparency and verification
  10. 7.10Practice: analysis of OMIE matching results
  1. 8.1System definition and its data
  2. 8.2Economic dispatch model
  3. 8.3Unit commitment formulation
  4. 8.4Inclusion of network constraints
  5. 8.5Handling uncertainty
  6. 8.6Storage integration
  7. 8.7Results analysis and sensitivities
  8. 8.8Operational conclusions
  9. 8.9Report and presentation
  10. 8.10Final review with the tutor
Methodology, software & labs

How you'll learn

Fully 100 % online study on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetables: students progress at their own pace within the intake, making it possible to combine with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is GAMS, Pyomo, Gurobi, PLEXOS, Python (pandas), in free, academic or evaluation versions. Case studies cover real procedures for MILP unit commitment formulation, dispatch simulation with renewable scenarios, and market matching analysis using a EUPHEMIA-type algorithm. Assessment is continuous by module plus the final integrating project.

Accreditable laboratories(EN ISO/IEC 17025) with a rotor test rig, EMC/Lightning pre-compliance, HIL/SIL and vibration/acoustics.
Evidence-driven Master's Thesis:safety case, test plan, compliance dossier and operating limits.
Industry mentoring:lecturers with experience in training, , eVTOL/UAM and flight test.
Flexible delivery(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:safety-by-design approach, cyber-OT, DIH and compliance as core pillars.
Capstone project

Build it end to end

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

System definition and its data

Formulate the economic dispatch problem with network constraints.

Economic dispatch model

Set up unit commitment models using mixed-integer programming.

Unit commitment formulation

Incorporate N-1 security constraints into the optimisation.

Inclusion of network constraints

Model renewable uncertainty using stochastic and robust approaches.

Handling uncertainty

Integrate storage and flexible resources into scheduling.

Career opportunities

Where this takes you

Operations planning engineerEnergy optimisation analystElectricity market operatorPower systems modelling specialistDispatch analystEnergy markets consultant
Admissions & scholarships

Requirements

  • Prior technical training or professional experience in the sector. No university degree required.
  • Internet connection and a computer capable of running the programme's software.
  • Sufficient level of Spanish to follow technical regulatory texts.

Ready to start?

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

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FAQ

Frequently asked questions

The programme consists of 800 hours in total, spread over 6 to 8 months. That is between 10 and 15 hours per week on average, compatible with a full-time job.

You will work with GAMS, Pyomo, Gurobi, PLEXOS, Python (pandas). Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.

An SEIUM diploma upon passing continuous assessment and the integrating project. It is in-house training, not an official Ministry qualification.

Yes. Modules passed in a course or postgraduate diploma in the same area are recognised towards the advanced programme. Check the recognition policy when you enrol.

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