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CourseCivil, Rail & Smart Cities Enrolment open

Course in Unit Commitment and Economic Dispatch

Online 300 h course in Unit Commitment and Economic Dispatch. 6 modules covering Regulation (EU) 2019/943, Regulation (EU) 2017/1485 (SO GL) and Pyomo. Assigned tutor and open enrolment.

Duration300 h
ModeOnline
Start datesOctober / March
LocationEurope (Madrid)
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Formulate the scheduling problem for generating units.

02

Solve economic dispatch problems with and without losses.

03

Implement unit commitment models using mixed-integer programming.

04

Incorporate network constraints and security criteria.

05

Address renewable uncertainty using stochastic and robust methods.

06

Relate the models to the clearing of electricity markets.

07

Analyse scheduling results using technical and economic criteria.

Profile

Who it's for

  • Operations planning engineer wishing to specialise in Unit Commitment and Economic Dispatch.
  • Electricity markets analyst wishing to specialise in Unit Commitment and Economic Dispatch.
  • Optimisation engineer wishing to specialise in Unit Commitment and Economic Dispatch.
  • System operator wishing to specialise in Unit Commitment and Economic Dispatch.
  • Energy trader wishing to specialise in Unit Commitment and Economic Dispatch.
  • Energy consultant wishing to specialise in Unit Commitment and Economic Dispatch.
  • Engineering or science graduates looking to enter system operators.
Standards & tools

What you'll work with

  • Regulation (EU) 2019/943
  • Regulation (EU) 2017/1485 (SO GL)
  • Regulation (EU) 2015/1222 (CACM)
  • Regulation (EU) 2017/2195 (EB GL)
  • Operating Procedures of Red Eléctrica de España
  • Law 24/2013 on the Electricity Sector
Syllabus

6 modules · 300 h

  1. 1.1Operational planning horizons
  2. 1.2Demand curve and reserve
  3. 1.3Start-up, shut-down and operating costs
  4. 1.4Technical constraints of thermal units
  5. 1.5Minimum up and down times
  6. 1.6Ramp-up and ramp-down rates
  7. 1.7Hydro and temporal coupling
  8. 1.8Storage and pumping
  9. 1.9General problem formulation
  10. 1.10Workshop: technical data for a generating fleet
  1. 2.1Incremental costs and cost curve
  2. 2.2Equality of incremental costs
  3. 2.3Lambda iteration method
  4. 2.4Transmission losses and B-coefficients
  5. 2.5Generation limits
  6. 2.6Dispatch with non-convex functions
  7. 2.7Economic-environmental dispatch
  8. 2.8Hydrothermal dispatch
  9. 2.9Dynamic dispatch
  10. 2.10Practical: economic dispatch of five units
  1. 3.1Priority lists
  2. 3.2Dynamic programming
  3. 3.3Lagrangian relaxation
  4. 3.4Mixed-integer linear programming
  5. 3.5Compact and tight formulations
  6. 3.6DC network constraints
  7. 3.7Security-constrained unit commitment
  8. 3.8Benders decomposition
  9. 3.9Heuristics and metaheuristics
  10. 3.10Laboratory: MILP model in Pyomo
  1. 4.1Wind and solar forecasting
  2. 4.2Stochastic unit commitment
  3. 4.3Robust optimisation
  4. 4.4Dynamic reserves
  5. 4.5Scenarios and reduction
  6. 4.6Demand flexibility
  7. 4.7Batteries in scheduling
  8. 4.8Cross-border exchanges
  9. 4.9Assessment of integration costs
  10. 4.10Case study: wind impact on reserves
  1. 5.1Centralised dispatch and bid-based markets
  2. 5.2EUPHEMIA algorithm
  3. 5.3Technical constraint markets
  4. 5.4Locational marginal prices
  5. 5.5Complex bids and blocks
  6. 5.6Binding dispatch and redispatch
  7. 5.7Operator tools such as CAISO and PJM
  8. 5.8Validation and audit of results
  9. 5.9Efficiency indicators
  10. 5.10Workshop: market clearing with network constraints
  1. 6.1Definition of the study system
  2. 6.2Complete mathematical model
  3. 6.3Computational implementation
  4. 6.4Renewable scenarios
  5. 6.5Results analysis and sensitivity
  6. 6.6Operational conclusions
  7. 6.7Comparison with simple economic dispatch
  8. 6.8Proposal for model improvement
  9. 6.9Report and presentation
  10. 6.10Final review with the tutor
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: students progress at their own pace within the intake, making it compatible with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is Pyomo, Gurobi, PLEXOS, GAMS, PyPSA, in free, academic or evaluation versions. The case studies cover real economic dispatch procedures for a thermal fleet, MILP unit commitment formulation, and sensitivity analysis with wind scenarios. Assessment is continuous, module by module, plus the final integrative project.

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

Build it end to end

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

Definition of the study system

Formulate the scheduling problem for generating units.

Complete mathematical model

Solve economic dispatch problems with and without losses.

Computational implementation

Implement unit commitment models using mixed-integer programming.

Renewable scenarios

Incorporate network constraints and security criteria.

Results analysis and sensitivity

Address renewable uncertainty using stochastic and robust methods.

Career opportunities

Where this takes you

Operations planning engineerElectricity markets analystOptimisation engineerSystem operatorEnergy traderEnergy consultant
Admissions & scholarships

Requirements

  • No previous degree is 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 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 course uses Pyomo, Gurobi, PLEXOS, GAMS and PyPSA. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.

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

Yes. Modules passed in a course or postgraduate diploma in the same area can be credited towards the advanced programme. Consult the recognition policy when enrolling.

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