MétaCan
Menu
Back to cohort
Record W4401816134 · doi:10.5937/tid24054c

Gas-insulated facilities in the power transmission network

2024· article· en· W4401816134 on OpenAlexaboutno aff
Ljubiša Čičkarić

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower Systems and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsSwitchgearCircuit breakerElectricityHigh voltageReliability (semiconductor)Modular designElectrical engineeringDisconnectorAutomotive engineeringEngineeringReliability engineeringPower (physics)Computer scienceVoltage

Abstract

fetched live from OpenAlex

New trends in power electricity consumption, constant increase in the needs of modern society for electricity and progressive urbanization represent an increasingly complex challenge for power systems. The lack of space in large cities results in an increasing need for more compact high-voltage switchgear. In order to achieve a safer and more reliable supply of consumers, as well as a greater economic benefit, during the last decades the application of facilities insulated with SF6 gas has been increasing. The construction of the facilities enables high safety of people from electric shock, with limited space requirements and a high concentration of power at high voltages (up to 1100 kV in China) and at high currents (up to 8000 A in Canada). The share of GIS installations in power facility projects worldwide is increasing compared to other technologies (air-insulated or hybrid). There are many other reasons, besides space, where gas-insulated plants (GIS) can be applied. Some of the general advantages of use are economic efficiency, high reliability, safety due to the enclosed equipment, long service life, low maintenance costs, ergonomic design, reliable operation in extreme environmental conditions. The modular design of these facilities enables easy assembly and shortening of construction time. The facilities are divided into gas chambers, which in the event of a malfunction in a chamber, leads to the shutdown of only a limited part of the facility. Small decomposition of SF6 gas during arc extinguishing and minor wear of circuit-breaker and switch disconnector contacts during commutation, allows the facility to work for up to 20 years without maintenance. The specification of various aspects of GIS facilities, components and supporting equipment is elaborated in detail in a large number of normative documents. The paper presents the historical development of GIS technology. The basic characteristics of SF6 gas and gas-insulated facilities are described. The technical requirements for the selection of GIS facilities were considered various factors related to the power system, environment and costs. SF6 gas can be considered a revolutionary technology, which was a key driver of modern urbanization. On the other hand, European transmission system operators, in cooperation with equipment manufacturers and key stakeholders, are making great efforts to gradually reduce the use of SF6 gas in their networks and introduce alternative solutions. The paper provides a brief overview of the regulations and goals of the European Union for reducing the emission of SF6 gas, which belongs to fluorinated gases with a greenhouse effect. Since 2010, the search for an alternative insulating and arc-quenching gas with a significantly reduced global warming potential (GWP) has brought solutions based on fluoronitrile, fluoroketone and technical air, combined with vacuum circuit breakers. The paper presents an overview of available alternative technologies. The alternative to today's GIS facilities is reflected in the achievements in the development of environmentally efficient GIS solutions and the integration of digital techniques in design and diagnostics. This means combining a low carbon footprint, superior reliability and low life cycle costs in a flexible arrangement of elements. Digitization of the network, from the design phase to the complete digital functionality of every device in the power system, is something that represents the key to technological transfer towards future solutions. What is already certain are: digital twin technology, integrated intelligent electronic devices (IEDs) with digital input and output, a complete power network database available in the digital cloud, and intelligent software, which uses artificial intelligence (AI) to optimize the network operation. Digital GIS inevitably becomes a part of future power networks.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.547
Threshold uncertainty score0.161

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.195
Teacher spread0.186 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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 topicPower Systems and TechnologiesFrench-language works237,207