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Postgraduate Diploma in State Estimation and Losses

Online 800-hour Postgraduate Diploma in State Estimation and Losses. 8 modules with IEC 61970 (CIM model for energy management systems), IEEE C37.118.1 (synchrophasors) and MATLAB. 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

Model the electrical network for use in state estimation.

02

Apply the weighted least squares state estimator.

03

Detect and identify measurement errors and topological inconsistencies.

04

Integrate synchrophasor measurements into state estimation.

05

Calculate and disaggregate the technical losses of the network.

06

Detect non-technical losses through data analysis.

07

Integrate state estimation into control centre functions.

Profile

Who it's for

  • Control centre engineer looking to specialise in State Estimation and Losses.
  • Network loss analyst looking to specialise in State Estimation and Losses.
  • EMS systems engineer looking to specialise in State Estimation and Losses.
  • Synchrophasor specialist looking to specialise in State Estimation and Losses.
  • Network planning engineer looking to specialise in State Estimation and Losses.
  • Energy fraud analyst looking to specialise in State Estimation and Losses.
  • Engineering or science graduates seeking to enter electricity transmission.
Standards & tools

What you'll work with

  • IEC 61970 (CIM model for energy management systems)
  • IEEE C37.118.1 (synchrophasors)
  • IEC/IEEE 60255-118-1 (synchrophasor measurement)
  • Regulation (EU) 2017/1485 (system operation)
  • IEC 62053 (electricity metering equipment)
  • IEC 61968-9 (meter reading)
Syllabus

8 modules · 800 h

  1. 1.1Pi-model of lines and cables
  2. 1.2Transformers with taps and phase shifters
  3. 1.3Nodal admittance matrix
  4. 1.4Load flow by Newton-Raphson
  5. 1.5Fast decoupled load flow
  6. 1.6Network model with CIM
  7. 1.7Topology processor
  8. 1.8Network observability
  9. 1.9Quality of network parameters
  10. 1.10Workshop: building the admittance matrix of a test network
  1. 2.1Weighted least squares formulation
  2. 2.2Normal equations and gain matrix
  3. 2.3Measurement Jacobian
  4. 2.4Convergence and conditioning
  5. 2.5Orthogonal and Hachtel methods
  6. 2.6Weighting according to measurement accuracy
  7. 2.7Virtual and zero-injection measurements
  8. 2.8Robust estimators: LAV and Huber
  9. 2.9Decoupled estimation
  10. 2.10Laboratory: WLS estimator in Python on the IEEE 14-bus network
  1. 3.1Detection of bad data with the chi-squared test
  2. 3.2Largest normalised residuals
  3. 3.3Critical measurements and critical sets
  4. 3.4Topological errors
  5. 3.5Errors in network parameters
  6. 3.6Augmented parameter estimation
  7. 3.7False data injection cyberattacks
  8. 3.8Redundancy and measurement placement
  9. 3.9Estimation quality indicators
  10. 3.10Practice: identifying an erroneous measurement in a test case
  1. 4.1Phasor measurement units (PMU)
  2. 4.2IEEE C37.118 standard
  3. 4.3Linear state estimation with PMUs
  4. 4.4Hybrid SCADA-PMU estimation
  5. 4.5Optimal PMU placement
  6. 4.6Dynamic state estimation
  7. 4.7Extended and unscented Kalman filters
  8. 4.8WAMS systems
  9. 4.9Oscillation monitoring applications
  10. 4.10Laboratory: linear estimation with PMU data
  1. 5.1Joule losses in lines and cables
  2. 5.2Iron and copper losses in transformers
  3. 5.3Corona losses
  4. 5.4Load and loss factors
  5. 5.5Loss calculation with load flow
  6. 5.6Losses in distribution networks
  7. 5.7Loss reduction through reconfiguration
  8. 5.8Reactive compensation to reduce losses
  9. 5.9Marginal loss coefficients
  10. 5.10Practice: technical loss balance of a feeder
  1. 6.1Typologies: fraud, metering and billing errors
  2. 6.2Energy balances per transformer substation
  3. 6.3Smart meters and detection
  4. 6.4Analytics of anomalous consumption
  5. 6.5Machine learning for fraud detection
  6. 6.6Inspections and prioritisation
  7. 6.7Regulatory framework for losses in Spain
  8. 6.8Regulatory incentives for loss reduction
  9. 6.9International experiences
  10. 6.10Case study: fraud detection with meter data
  1. 7.1EMS and DMS functions
  2. 7.2Real-time estimator and execution cycle
  3. 7.3Security analysis based on the estimate
  4. 7.4Optimal power flow and dispatch
  5. 7.5Network model data management
  6. 7.6Model exchange between operators (CGMES)
  7. 7.7Operator visualisation
  8. 7.8Computational performance
  9. 7.9Estimator maintenance
  10. 7.10Workshop: evaluating the quality of an estimator in operation
  1. 8.1Selection of the study network
  2. 8.2Modelling and topology processing
  3. 8.3Measurement plan and observability
  4. 8.4Estimator implementation
  5. 8.5Detection of errors and inconsistencies
  6. 8.6Loss calculation and analysis
  7. 8.7Loss reduction proposals
  8. 8.8Economic evaluation
  9. 8.9Report and presentation
  10. 8.10Final review with the tutor
Methodology, software & labs

How you'll learn

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

Each module combines theory, guided reading of the original standard and applied exercises. The working software is MATLAB, PSS/E, Python (pandas, NumPy), PowerWorld Simulator, in free, academic or evaluation versions. Tests are studied on real state estimation procedures on IEEE test networks, detection of bad data, and technical and non-technical loss balances. Assessment is continuous 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-oriented Master's Thesis (final project):safety case, test plan, compliance dossier and operating limits.
Industry mentoring:instructors with experience in training, , eVTOL/UAM and flight test.
Flexible format(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:a safety-by-design approach, with cyber-OT, DIH and compliance as its pillars.
Capstone project

Build it end to end

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

Selection of the study network

Model the electrical network for use in state estimation.

Modelling and topology processing

Apply the weighted least squares state estimator.

Measurement plan and observability

Detect and identify measurement errors and topological inconsistencies.

Estimator implementation

Integrate synchrophasor measurements into state estimation.

Detection of errors and inconsistencies

Calculate and disaggregate the technical losses of the network.

Career opportunities

Where this takes you

Control centre engineerNetwork loss analystEMS systems engineerSynchrophasor specialistNetwork planning engineerEnergy fraud analyst
Admissions & scholarships

Requirements

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

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

The work is carried out with MATLAB, PSS/E, Python (pandas, NumPy), PowerWorld Simulator. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.

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

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

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