Evidence map›Paper›PMID 39512452›Full record

ReviewHeliyon2024

Next generation power inverter for grid resilience: Technology review.

Md Tonmoy Hossain, Md Zunaid Hossen, Faisal R Badal, Md R Islam, Md Mehedi Hasan, Md F Ali, Md H Ahamed, S H Abhi, Md Manirul Islam, Subrata K Sarker and 3 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review 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

13 authors.

Md Tonmoy HossainDepartment of Mechatronics Engineering, Rajshahi University of Engineering & Technology, Rajshahi 6204, Bangladesh.
Md Zunaid HossenDepartment of Mechatronics Engineering, Rajshahi University of Engineering & Technology, Rajshahi 6204, Bangladesh.
Faisal R BadalDepartment of Mechatronics Engineering, Rajshahi University of Engineering & Technology, Rajshahi 6204, Bangladesh.
Md R IslamDepartment of Mechatronics Engineering, Rajshahi University of Engineering & Technology, Rajshahi 6204, Bangladesh.
Md Mehedi HasanDepartment of Mechatronics Engineering, Rajshahi University of Engineering & Technology, Rajshahi 6204, Bangladesh.
Md F AliDepartment of Mechatronics Engineering, Rajshahi University of Engineering & Technology, Rajshahi 6204, Bangladesh.
Md H AhamedDepartment of Mechatronics Engineering, Rajshahi University of Engineering & Technology, Rajshahi 6204, Bangladesh.
S H AbhiDepartment of Mechatronics Engineering, Rajshahi University of Engineering & Technology, Rajshahi 6204, Bangladesh.
Md Manirul IslamDepartment of Mechatronics Engineering, Rajshahi University of Engineering & Technology, Rajshahi 6204, Bangladesh.
Subrata K SarkerDepartment of Mechatronics Engineering, Rajshahi University of Engineering & Technology, Rajshahi 6204, Bangladesh.
Sajal K DasDepartment of Mechatronics Engineering, Rajshahi University of Engineering & Technology, Rajshahi 6204, Bangladesh.
Prangon DasDepartment of Mechatronics Engineering, Rajshahi University of Engineering & Technology, Rajshahi 6204, Bangladesh.
Z TasneemDepartment of Mechatronics Engineering, Rajshahi University of Engineering & Technology, Rajshahi 6204, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Distributed generation (DG) systems are becoming more popular due to several benefits such as clean energy, decentralization, and cost effectiveness. Because the majority of renewable energy sources provide DC power, power electronic inverters are necessary for their conversion from DC to AC power. To fulfill this demand, the next generation power inverter employs innovative technologies while simultaneously assuring stability and resilience. This paper highlights the limitations of current inverter technology and points the way forward to the next generation of inverters that overcome those limitations. A more efficient, trustworthy, and system-resilient inverter employs new technology such as the internet of things (IoT). However, these new technologies expose the system to cyber-physical threats. This problem is being overcome through the application of artificial intelligence and machine learning. Initially, the present state of the inverter technology with its current challenges against grid resilience has been investigated in this paper. After that, the necessity of smart inverter and their impact on the power system has been reviewed to enhance grid resilience, stability, and adaptability. Finally, a directional pathway to the next generation inverter has been proposed by addressing the features, components requirement integration challenges, and possible solutions in this paper.

Indexed as

Artificial intelligenceCyber-physical securityGrid resilienceInternet of thingsMachine learningSmart inverter technology

Identifiers

PMID39512452
PMCPMC11539327

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.