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Postgraduate DiplomaEnergy and Networks Applications open

Postgraduate Diploma in LV/MV State Estimation and Volt/VAR

Online 800-hour Postgraduate Diploma in LV/MV State Estimation and Volt/VAR. 8 modules covering EN 50160 (voltage characteristics), IEEE 1547 (interconnection of distributed resources) and OpenDSS. Dedicated 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

Describe the characteristics of low and medium voltage networks.

02

Manage the measurement data available in distribution.

03

Apply state estimation algorithms in distribution networks.

04

Analyse the voltage problems associated with distributed generation.

05

Optimise Volt/VAR control with regulators, capacitors and inverters.

06

Integrate estimation and control in real time.

07

Evaluate results with real distribution network cases.

Profile

Who it's for

  • Distribution network engineer wishing to specialise in LV/MV State Estimation and Volt/VAR.
  • Smart meter data analyst wishing to specialise in LV/MV State Estimation and Volt/VAR.
  • Voltage control engineer wishing to specialise in LV/MV State Estimation and Volt/VAR.
  • LV and MV planning engineer wishing to specialise in LV/MV State Estimation and Volt/VAR.
  • Smart grid specialist wishing to specialise in LV/MV State Estimation and Volt/VAR.
  • Power quality engineer wishing to specialise in LV/MV State Estimation and Volt/VAR.
  • Graduates in engineering or sciences seeking to enter electricity distribution.
Standards & tools

What you'll work with

  • EN 50160 (voltage characteristics)
  • IEEE 1547 (interconnection of distributed resources)
  • IEC 61968 (application integration in distribution)
  • IEC 61000-4-30 (power quality measurement methods)
  • UNE-EN 50549-1 (connection of generation to LV networks)
  • Royal Decree 1955/2000 (quality of service)
Syllabus

8 modules · 800 h

  1. 1.1Distribution network topologies
  2. 1.2Unbalanced three-phase networks
  3. 1.3Line modelling with impedance matrices
  4. 1.4Distribution transformers and connections
  5. 1.5Single-phase loads and imbalances
  6. 1.6Real topology versus GIS topology
  7. 1.7Customer–phase–transformer connectivity
  8. 1.8Data available in distribution
  9. 1.9Voltage quality regulation
  10. 1.10Workshop: three-phase modelling of an LV network in OpenDSS
  1. 2.1Smart meters and data concentrators
  2. 2.2Advanced monitoring of transformer substations
  3. 2.3Data temporal resolution and latency
  4. 2.4Pseudo-measurements from load profiles
  5. 2.5Consumption forecasting as a pseudo-measurement
  6. 2.6Smart meter data quality
  7. 2.7Phase identification using data
  8. 2.8Topology correction
  9. 2.9Privacy of consumption data
  10. 2.10Practice: customer phase identification using voltage correlation
  1. 3.1Differences from transmission-level estimation
  2. 3.2Low observability and pseudo-measurements
  3. 3.3Unbalanced three-phase estimation
  4. 3.4Branch-current-based estimation
  5. 3.5Weighting of pseudo-measurements
  6. 3.6LV estimation with smart meter data
  7. 3.7Robust estimators in distribution
  8. 3.8Machine learning-based methods
  9. 3.9Optimal meter placement
  10. 3.10Laboratory: three-phase MV network estimator in Python
  1. 4.1Voltage issues with distributed generation
  2. 4.2On-load tap changers
  3. 4.3Line voltage regulators
  4. 4.4Distribution transformers with on-load taps
  5. 4.5Capacitor banks
  6. 4.6Local control of Volt-VAR and Volt-Watt inverters
  7. 4.7Control curves according to IEEE 1547
  8. 4.8Conservation voltage reduction (CVR)
  9. 4.9Coordination between devices
  10. 4.10Practice: tuning inverter Volt-VAR curves
  1. 5.1Formulation of the IVVO problem
  2. 5.2Loss minimisation
  3. 5.3Optimisation with discrete variables
  4. 5.4MINLP programming and heuristics
  5. 5.5Predictive voltage control
  6. 5.6Estimator-based optimisation
  7. 5.7Centralised versus distributed control
  8. 5.8Voltage quality constraints
  9. 5.9Evaluation of IVVO benefits
  10. 5.10Laboratory: Volt/VAR optimisation of a feeder using OpenDSS
  1. 6.1ADMS execution cycle
  2. 6.2Integration with distribution SCADA
  3. 6.3Voltage alarm management
  4. 6.4Visualisation for operators
  5. 6.5Validation of setpoints before dispatch
  6. 6.6Failure modes and degraded operation
  7. 6.7Cyber security of setpoints
  8. 6.8Real-time simulation testing
  9. 6.9Commissioning
  10. 6.10Case study: commissioning of an IVVO scheme
  1. 7.1Measurement and verification of savings
  2. 7.2Voltage quality indicators
  3. 7.3Analysis of CVR projects at utilities
  4. 7.4Impact on hosting capacity
  5. 7.5Comparison of strategies
  6. 7.6Cost-benefit analysis
  7. 7.7Scaling to the whole network
  8. 7.8Regulatory aspects
  9. 7.9Lessons learned
  10. 7.10Practice: measurement and verification of a CVR pilot
  1. 8.1Selection of the study network
  2. 8.2Three-phase modelling
  3. 8.3Preparation of measurement data
  4. 8.4Implementation of the state estimator
  5. 8.5Voltage control design
  6. 8.6Volt/VAR optimisation
  7. 8.7Evaluation of results
  8. 8.8Implementation plan
  9. 8.9Report and presentation
  10. 8.10Final review with the tutor
Methodology, software & labs

How you'll learn

100% online training on the SEIUM campus, with downloadable material, recorded classes and a dedicated technical tutor. No fixed timetables: students progress at their own pace within the intake, which makes it possible to combine the programme with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is OpenDSS, Python (pandapower), MATLAB, CYME, GridLAB-D, in free, academic or evaluation versions. Tests are studied using real state estimation procedures with smart meter data, Volt/VAR control simulation, and real LV and MV network cases. Assessment is continuous, module by module, plus the final integrating project.

Accreditable laboratories(EN ISO/IEC 17025) with rotor test rig, EMC/lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-based Master's Thesis:safety case, test plan, compliance dossier and operational limits.
Industry-mentored:lecturers with track records 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, OT cyber security, 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.

Selection of the study network

Describe the characteristics of low and medium voltage networks.

Three-phase modelling

Manage the measurement data available in distribution.

Preparation of measurement data

Apply state estimation algorithms in distribution networks.

Implementation of the state estimator

Analyse the voltage problems associated with distributed generation.

Voltage control design

Optimise Volt/VAR control with regulators, capacitors and inverters.

Career opportunities

Where this takes you

Distribution network engineerSmart meter data analystVoltage control engineerLV and MV planning engineerSmart grid specialistPower quality engineer
Admissions & scholarships

Requirements

  • Prior technical training or professional experience in the sector. A university degree is not required.
  • Internet connection and a computer capable of running the programme's software.
  • Sufficient Spanish to follow technical standards documentation.

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 comprises 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 OpenDSS, Python (pandapower), MATLAB, CYME and GridLAB-D. 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 integrating project. It is in-house training, not an official Ministry qualification.

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

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