MétaCan
Menu
Back to cohort
Record W6950018782 · doi:10.5281/zenodo.6102453

Test and Validation Procedures and Services

2024· article· en· W6950018782 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2024
Typearticle
Languageen
FieldEngineering
TopicReal-time simulation and control systems
Canadian institutionsnot available
FundersEuropean Commission
KeywordsAutomationAutomatic test equipmentConvertersCircuit breakerTest (biology)ImplementationInstrumentation (computer programming)GridSystem under test

Abstract

fetched live from OpenAlex

New technologies as needed for the realization of DC grids need to be tested in an early stage of development and early adoption but also need to be tested with respect to standards and grid code compliance for certification. Within this task test and validation procedures will be proposed and implemented to enable such test and validation services. Potential applications will be novel, fast power electronic based DC circuit breakers and power converters for MVDC and LVDC as well as automation implementations via real-time simulation interfaces used in hardware-in-the-loop methods. This document gives an overview on the HYPERRIDE-relevant test equipment and test procedures available at the partners sides and some other relevant sides. In what follows, a breakdown of LVDC, MVDC, and HVDC topics is used to summarise findings and requirements for this Deliverable. In case of LVDC research and testing facilities, several well-equipped laboratory setups are already existing among HYPERRIDE partners, as can be seen in descriptions in Section 2. However, more advanced and more complex testing infrastructure is necessary to cover urgent needs for matching the demand of industry and for meeting the requirements necessary to ingrate DC system and components into existing grids. For low MVDC topics, several facilities show distinct laboratory setups and well-equipped infrastructure for appropriate testing. The Fraunhofer IISB and the Center of Advanced Power Systems (CAPS) both have flexible test benches and supply connections in order to execute MVDC tests in the MW-range, as shown in Sections 3.1 and 3.2. Reconfigurable and high bandwidth amplification units provide the possibility to link the hardware setup for conduct real-time based HIL testing. In case of HVDC applications, the research facility of Hydro Quebec shows the ability to conduct laboratory testing. As described in Section 3.3, a full-scale distribution test line test setup and a flexible real-time setup for HIL testing has been developed. Similar or comparable building blocks for higher MVDC testing are still missing at HYPERRIDE partners. For this purpose, the project "DC Hub Austria" has been recently initiated in order to assess planning and installing testing infrastructure for testing DC grids rated up to 60 kV combined with large-scale power (MW-class). Based on findings in the HYPERRIDE project, it has to be summed up that large-scale pilot projects are missing on a European level. This goes along with a lack of cost-effective usecases, lower technical readiness levels as well as insufficient normative frameworks which are not or not well applicable for the integration of DC applications in existing AC- or hybrid AC/DC distribution grids. This is valid for in particular for MVDC application, in which appropriate system requirements for high DC voltage (insulation level) combined with high power levels are necessary. Partly, these standards or guidelines have not been developed yet. For some DC applications, recommendations and guidelines for DC grid implementations could be identified (Jambrich & Fuchs, 2021) and other activities are still ongoing (CIRED WG 2021-1 "DC and hybrid DC/AC distribution networks integration"). In general, the harmonisation of existing normative frameworks or technical guidelines shows increased importance. Combined efforts are done to harmonise different system concepts for DC industry components and systems on an IEC level. For this purpose, networks and collaborations with international research and industrial partners are essential and first steps are already initiated (CIRED and CIGRE WGs with final reports and technical brochures).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.776
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.212
Teacher spread0.201 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicReal-time simulation and control systemsFrench-language works237,207