Master’s in Grid Planning for Electromobility
Online master's programme of 1,900 hours in grid planning for electromobility. 12 modules covering EV impact on distribution networks, charging demand modelling, network analysis and hosting capacity, investment planning, access and connection (RD 1183/2020), flexibility and smart charging, AFIR, renewables integration, grid data and regulation, with an assigned technical tutor.
Master’s in Grid Planning for Electromobility — studying from New Zealand
The motorcycle and two-wheeler sector in New Zealand is primarily retail, servicing, touring and recreational use, with a sizeable community of riders served by importers, dealerships and specialist workshops. Motorcycle safety and licensing fall under the New Zealand Transport Agency Waka Kotahi, and the Motorcycle Trade Association supports the sector. Engineers and technicians often work in dealership service departments, component importers or with small specialist manufacturers.
Fees for New Zealand: NZ$11,700 (New Zealand dollar), with instalments and employer sponsorship available.
Relevant bodies in New Zealand
Typical roles
Questions from New Zealand
Is there a professional body in New Zealand that recognises motorcycle engineering?
There is no separate statutory register for motorcycle engineers in New Zealand. Engineering New Zealand covers the wider profession, and vehicle compliance is regulated by the NZ Transport Agency Waka Kotahi. SEIUM's qualifications are private and not accredited by any national body, so employers decide how much weight to give them.
Who employs motorcycle engineers in New Zealand?
Likely employers include importers and distributors, motorcycle workshops, performance and race teams, and engineering firms serving the automotive sector. Some roles relate to vehicle certification and safety. Employers generally judge candidates on hands-on ability and project evidence, and a private qualification may or may not be valued depending on the employer.
How long does the course take alongside a job in New Zealand?
The course is fully online and taught in English, so you can study from home without a student visa. Specialist courses total 300 hours, postgraduate diplomas 800 hours and master's programmes 1,900 hours. You have an assigned technical tutor, and fees can be paid in instalments or sponsored by an employer where available.
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
Assess the impact of vehicle charging on distribution networks.
Model charging demand spatially and over time.
Analyse networks with load-flow tools.
Plan prioritised reinforcement investments.
Manage access and connection processes.
Integrate flexibility and smart charging into planning.
Develop integrated long-term planning scenarios.
Who it's for
- Distribution network planners.
- Electric vehicle integration analysts.
- Access and connection engineers at DSOs.
- Energy and mobility consultants.
- Flexibility specialists and aggregators.
- Municipal planning officers deploying public charging.
- Engineering or science graduates looking to enter electricity distribution companies.
What you'll work with
- Directive (EU) 2019/944 (internal electricity market)
- Regulation (EU) 2023/1804 (AFIR) (alternative fuels infrastructure)
- Royal Decree 1183/2020 (Spanish grid access and connection)
- CNMC Circular 1/2021 (access and connection methodology)
- ITC-BT-52 (Spanish rules for EV charging installations)
- UNE-EN 50160 (voltage characteristics of public networks)
- IEC 61851-1 (EV conductive charging systems)
- OpenDSS
- pandapower
- DIgSILENT PowerFactory
- QGIS
- Python
12 modules
1.1Growth in demand from electric vehicles1.2Residential and public charging profiles1.3Coincidence of demand peaks1.4Impact on low and medium voltage1.5Transformer congestion1.6Voltage quality and imbalances1.7Penetration scenarios to 2030 and 20401.8Experience from European DSOs1.9Stakeholders in planning1.10Case study: impact on a residential neighbourhood
2.1Mobility data and surveys2.2Agent-based models2.3Stochastic load curves2.4Charge point simultaneity2.5Fleet and depot charging2.6Charging on interurban corridors2.7Spatial demand forecasting2.8Uncertainty and scenarios2.9Validation with real data2.10Practical exercise: demand curve for a municipality
3.1Modelling low-voltage networks3.2Unbalanced three-phase load flows3.3Quasi-static time series3.4Thermal and voltage limits3.5Hosting capacity3.6Technical network losses3.7OpenDSS and pandapower tools3.8Network data quality3.9Distribution digital twins3.10Laboratory: hosting capacity with OpenDSS
4.1Traditional reinforcement-based planning4.2Risk-based planning4.3DSO investment plans4.4Reinforcement of transformers and lines4.5New distribution substations4.6Standard investment costs4.7Multi-criteria prioritisation of investments4.8Execution timescales4.9Regulated remuneration of investment4.10Case study: reinforcement plan for an urban network
5.1Access and connection procedure5.2Published access capacity5.3Connection of rapid charging stations5.4Flexible connections with curtailment5.5Royal Decree 1183/20205.6CNMC Circular 1/20215.7Processing times5.8Coordination with developers5.9Conflicts and solutions5.10Practical exercise: access application for a charging station
6.1Price-based managed charging6.2Tariff signals and periods6.3Local flexibility markets6.4Demand aggregators6.5Power management in buildings6.6Vehicle-to-grid in planning6.7Flexibility versus reinforcement6.8Flexibility platforms6.9European pilot projects6.10Laboratory: smart charging simulation
7.1Municipal charge point planning7.2AFIR targets for the TEN-T network7.3On-street charging7.4Charging in residential car parks7.5Charging hubs and their connection7.6Heavy-duty vehicle charging7.7Rural areas and minimum coverage7.8Coordination with urban planning7.9GIS planning tools7.10Case study: regional charging coverage map
8.1Solar coincidence and daytime charging8.2Distributed storage in the grid8.3Collective self-consumption in neighbourhoods8.4Microgrids with charging8.5Curtailment and opportunities8.6Joint optimisation of generation and charging8.7Local energy communities8.8Integration cases8.9Integration indicators8.10Practical exercise: solar and charging optimisation
9.1Smart meters and their use9.2Secondary substation monitoring9.3Low-voltage sensors9.4Charge point operator data9.5Data exchange between stakeholders9.6Advanced analytics of grid data9.7Grid digital twin9.8Cybersecurity of the digital grid9.9Open data platforms9.10Laboratory: smart meter data analysis
10.1Regulatory framework for distribution10.2Directive (EU) 2019/94410.3Access tariffs and network charges10.4Innovation incentives10.5Role of the charging service provider10.6Binding network planning10.7Public participation in planning10.8Comparative European regulation10.9Regulatory trends in distribution10.10Workshop: regulatory proposal on flexibility
11.1Joint transport-energy planning11.2Electricity demand scenarios11.3National energy and climate plans11.4Coordination between transmission and distribution11.5Cost-benefit analysis of alternatives11.6Grid resilience11.7Communication with public authorities11.8Lessons from large cities11.9Managing uncertainty11.10Case study: regional scenario to 2040
12.1Definition of the study area12.2Penetration scenarios12.3Demand modelling12.4Network modelling12.5Impact analysis12.6Reinforcement and flexibility alternatives12.7Cost-benefit analysis of the solution12.8Planning recommendations12.9Master'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. There are no fixed timetables: you progress at your own pace within each intake, so it fits around your job.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is OpenDSS, pandapower, DIgSILENT PowerFactory, QGIS and Python, in free, academic or evaluation versions. Testing is studied through real procedures for hosting capacity analysis in low-voltage networks, scenario-based charging demand modelling, and investment and flexibility plans. Assessment is continuous by module, plus the final Master's Thesis.
Standards covered: Directive (EU) 2019/944, Regulation (EU) 2023/1804 (AFIR), Royal Decree 1183/2020, CNMC Circular 1/2021, ITC-BT-52, UNE-EN 50160, IEC 61851-1.
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
- University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
- Internet connection and a computer capable of running 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 OpenDSS, pandapower, DIgSILENT PowerFactory, QGIS and Python, 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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