Evidence map›Paper›PMID 39224350›Full record

ArticleHeliyon2024

Electricity distribution networks resilience in area exposed to salt dust: Fragility curve modeling of insulators, Monte Carlo-based resilience assessment, and enhancement measures.

Amin Dadashzade, Hossein Bagherzadeh, Masood Mottaghizadeh, Tohid Ghanizadeh Bolandi, Mohammad Hassan Amirioun, Maryam Majidzadeh, Sajjad Golshannavaz, Farrokh Aminifar

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In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Amin DadashzadeSchool of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Hossein BagherzadehSchool of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Masood MottaghizadehSchool of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Tohid Ghanizadeh BolandiFaculty of Electrical and Computer Engineering, Urmia University, Urmia, PO Box 5756151818, Iran.
Mohammad Hassan AmiriounDepartment of Electrical Engineering, Shahreza Campus, University of Isfahan, Iran.
Maryam MajidzadehDepartment of Electrical Engineering, Technical and Vocational University (TVU), Tehran, Iran.
Sajjad GolshannavazFaculty of Electrical and Computer Engineering, Urmia University, Urmia, PO Box 5756151818, Iran.
Farrokh AminifarSchool of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resilience of the power system against natural disasters is a vital need for sustainable energy supply. As a result of global warming, lakes and rivers have dried out, resulting in dust hubs that threaten the normal operation of outdoor power system equipment. Unlike other events like hurricanes and blizzards, the impact of extreme salt dust on power system insulator failures and network resilience in affected areas remains unexamined. In this paper, to avoid power curtailment caused by insulators breakdown in electricity distribution networks, the resiliency assessment and enhancement of these networks against salt dust is investigated. Failure mechanism analysis of insulators and fragility curves extraction of them in face of salt pollution and relative humidity are done using mathematical modelling and experimental tests to extract the breakdown probability; Experimental tests are conducted in the High Voltage Laboratory, University of Tehran (HVLUT) and a novel method is proposed to extract 3-dimensional fragility curves of insulators. A Monte Carlo-based resiliency assessment method is then employed to obtain resiliency curve against the salt dust. Some suitable indicators are introduced for this purpose. In addition, several resiliency enhancement measures are proposed and ranked using a benefit to cost ratio (BCR) index. Numerical simulations are conducted on two real distribution feeders in a distribution grid around Urmia Salt Lake, Iran. Numerical results confirm the effectiveness and applicability of the proposed method.

Indexed as

Failure probabilityFragility curveHigh impact low probability (HILP) eventsInsulatorMonte Carlo-based resiliency assessmentSalt dust

Identifiers

PMID39224350
PMCPMC11367022

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.