Evidence map›Paper›PMID 38802449›Full record

ArticleScientific reports2024

Enhancing grid resiliency in distributed energy systems through a comprehensive review and comparative analysis of islanding detection methods.

Mangesh S Kulkarni, Sachin Mishra, Suresh Kumar Sudabattula, Naveen Kumar Sharma, D Baba Basha, Mohit Bajaj, Milkias Berhanu Tuka

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

7 authors.

Mangesh S KulkarniSharad Institute of Technology College of Engineering, Yadrav, Maharashtra, India.
Sachin MishraSchool of Electronics and Electrical Engineering, Lovely Professional University, Phagwara, Punjab, India.
Suresh Kumar SudabattulaSchool of Electronics and Electrical Engineering, Lovely Professional University, Phagwara, Punjab, India.
Naveen Kumar SharmaElectrical Engineering Department, I. K. G. Punjab Technical University, Jalandhar, 144603, India.
D Baba BashaDepartment of Information Systems, College of Computer and Information Sciences, Majmaah University, 11952, Al-Majmaah, Saudi Arabia. b.dudekula@mu.edu.sa.
Mohit BajajDepartment of Electrical Engineering, Graphic Era (Deemed to be University), Dehradun, 248002, India. mb.czechia@gmail.com.
Milkias Berhanu TukaDepartment of Electrical and Computer Engineering, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia. milkias.berhanu@aastu.edu.et.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reduction of fossil fuel usage, clean energy supply, and dependability are all major benefits of integrating distributed energy resources (DER) with electrical utility grid (UG). Nevertheless, there are difficulties with this integration, most notably accidental islanding that puts worker and equipment safety at risk. Islanding detection methods (IDMs) play a critical role in resolving this problem. All IDMs are thoroughly evaluated in this work, which divides them into two categories: local approaches that rely on distributed generation (DG) side monitoring and remote approaches that make use of communication infrastructure. The study offers a comparative evaluation to help choose the most efficient and applicable IDM, supporting well-informed decision-making for the safe and dependable operation of distributed energy systems within electrical distribution networks. IDMs are evaluated based on NDZ outcomes, detection duration, power quality impact, multi-DG operation, suitability, X/R ratio reliance, and efficient functioning.

Indexed as

Artificial neural networkDistributed generationIslanding detectionMicrogridNon-detection zoneRenewable energySignal processing

Identifiers

PMID38802449
PMCPMC11130157

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.