← Back to project catalogue
GP-EE-1UBL76NElectricalReady

Offshore-Wind HVDC Collection-Grid Architecture Comparison

Compare offshore collection-grid architectures through component outages, electrical losses and the energy reaching the export connection.

Offshore-Wind HVDC Collection-Grid Architecture Comparison project visual
GP-EE-1UBL76N · Electrical
  • Python 3.12
  • Matplotlib

Software compatibility

Python 3.12 or later

The analytical core uses only Python standard-library modules. Docker is optional. No commercial power-system software, wind-farm account or API key is required. Read the supplied documentation without installing software.

Project definition

Problem statement

Comparisons between AC and DC collection can change when turbine outages, shared equipment, export capacity and part-load conversion losses are counted differently.

Redundancy may recover energy while adding auxiliary demand. A larger delivered-energy total does not by itself establish an economical architecture.

Project objectives

  • Separate the collection-grid boundary from the shared HVDC export connection.
  • Track unavailable, isolated, curtailed, lost and delivered energy without double counting.
  • Compare radial AC, radial DC, redundant DC and a series-group DC abstraction.
  • Test voltage, auxiliary demand, common-condition dependence and dispatch assumptions.
  • Check selected published arithmetic and a pinned open-source cable-count implementation.

Project structure

Project components

01

Literature review

Examines collection architectures, converter reliability, offshore maintenance and transmission-study boundaries.

02

State model

Enumerates hypothetical turbine, cable, hub and export availability with explicit radial and group isolation rules.

03

Energy ledger

Uses exact rational calculations to retain each energy category across loading and export-capacity cases.

04

Sensitivity studies

Investigates voltage, auxiliary power, component dependence and incremental investment ceilings.

05

Dispatch study

Bounds feasible uniform dispatch under a sufficient monotonicity condition, without claiming a global optimum.

Methodology

Project workflow

  1. 01
    Define the boundary

    Read the hypothetical inputs and distinguish turbine collection from offshore transmission.

  2. 02
    Review the sources

    Follow the annotations, access-depth records and original literature figure.

  3. 03
    Reproduce

    Verify the retained outputs offline or inspect a selected scenario using the supplied command.

  4. 04
    Change an assumption

    Use a working copy to test a justified change and trace its effect through the energy ledger.

  5. 05
    Present the comparison

    Explain the conditional results, model limitations and a defensible extension using the editable documentation.

Demonstration scenario

At the hypothetical 30 MW export limit, the extra DC hub module recovers about 233 MWh per year. An additional constant 50 kW auxiliary load consumes 438 MWh per year, reversing the net gain. Explain the assumptions behind both quantities.

Engineering

Tools and method

Tools
The project uses Python 3.12, Matplotlib for subject analysis, simulation, and results.
Analysis
Standard-library Python models component states, conversion and cable losses with exact fractions.
Verification
283 checks cover hand calculations, invariants, source provenance, scenario input handling and delivered artifacts.
Documentation
Includes introduction, literature review, theory, methodology, results, discussion, conclusions, further work and annotated references.

Testing

Evaluation

Evaluation measures

  • Non-overlapping energy conservation across all architecture states
  • Redundancy gains at three export-capacity limits
  • Auxiliary-power thresholds that reverse a nominal energy gain
  • Sensitivity to common operating conditions and voltage assumptions
  • Conditional incremental investment ceilings
  • Published table arithmetic and pinned implementation checks
  • Byte-exact reproduction in an isolated Linux container

Project boundaries

  • All local component coefficients and availability values are hypothetical.
  • This is not a switching simulation, converter design, field reliability forecast or grid-code certificate.
  • Fixed-voltage cable approximations omit charging, thermal limits and detailed controls.
  • Uniform dispatch is not a claim of globally optimal power allocation.
  • Investment ceilings are conditional calculations, not vendor quotations or financial advice.
  • No information collected.

Included

  1. 0170-page project documentation in PDF and editable Word formats
  2. 02Nine-page usage guide in PDF and editable Word formats
  3. 0322-slide editable presentation with source notes, tables and charts
  4. 0412 annotated references, source matrix and an attributed literature image
  5. 05Seven numbered figures and eight numbered tables in the thesis
  6. 06Nine retained numerical outputs, 120 design cases and 24 annual ledgers
  7. 07Complete Python source code, 283 automated tests and offline reproduction

Project record

No information is collected on this page.

Permanent project ID
GP-EE-1UBL76N
Catalogued
21 Aug 2026
Completed
06 Sept 2026
Verified
06 Sept 2026
Demonstration
Included in repository

Handover

After purchase

  1. 01
    Payment is confirmed

    The project is marked unavailable and cannot be purchased again.

  2. 02
    Repository access is granted

    The buyer's submitted GitHub account receives access to the private repository.

  3. 03
    The purchase record is delivered

    The certification sheet is prepared from the reviewed buyer details and sent privately by email.