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Assessment and Mitigation of Temporary Overvoltages on Distribution Feeders with High Penetration of Distributed Energy Resources

2021· article· en· W3203819292 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicOptimal Power Flow Distribution
Canadian institutionsnot available
Fundersnot available
KeywordsOvervoltageDistributed generationReliability engineeringGroundTransformerRisk analysis (engineering)EngineeringControl reconfigurationComputer scienceElectrical engineeringRenewable energyVoltageBusinessEmbedded system

Abstract

fetched live from OpenAlex

Distributed Energy Resources (DERs) are proliferating in distribution systems across most jurisdictions. As distribution system operators work towards interconnecting DERs, they experience new issues that require thorough assessment and mitigation. Among these issues, one such example is coping with intensified Temporary Overvoltage (TOV) on un-faulted phases that results from a system reconfiguration that causes the distribution system to no longer be effectively grounded. In particular, inverter-based DERs and/or certain preferred step-up transformer configurations lead to worse TOV levels than those experienced in typical distribution systems pre-DER connection. TOVs pose insulators and surge arrestors at risk. Currently, there remains a gap in distribution planning of most jurisdictions in formulating the aspects of performance grounding and adopting simple and practical measures to overcome the challenge. This paper provides an overview and analytical evaluation of TOVs in modern distribution systems with high DER penetration and introduces mitigation options, including assessment and design procedures of effective ground sources. Two real distribution systems of a Canadian electric utility are presented as case studies to illustrate the problem definition and proposed mitigation strategies adopted in the project execution.

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.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.433
Threshold uncertainty score0.479

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 head0.004
GPT teacher head0.201
Teacher spread0.197 · 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

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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