Evidence map›Paper›PMID 38623328›Full record

ReviewiScience2024

State-of-the-art review on energy sharing and trading of resilient multi microgrids.

Abhishek Kumar, Arvind R Singh, L Phani Raghav, Yan Deng, Xiangning He, R C Bansal, Praveen Kumar, R M Naidoo

Abstract readReview
In one paragraph

Review in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

8 authors.

Abhishek KumarResearch Group for Energy Network Transition (ReGENT), College of Electrical Engineering, Zhejiang University, Hangzhou, P.R. China.
Arvind R SinghSchool of Physics and Electronics Engineering, Hanjiang Normal University, Shiyan, P.R. China.
L Phani RaghavDepartment of Electrical Engineering, Anil Neerukonda Institute of Technology and Sciences, India.
Yan DengResearch Group for Energy Network Transition (ReGENT), College of Electrical Engineering, Zhejiang University, Hangzhou, P.R. China.
Xiangning HeResearch Group for Energy Network Transition (ReGENT), College of Electrical Engineering, Zhejiang University, Hangzhou, P.R. China.
R C BansalDepartment of Electrical Engineering, University of Sharjah, Sharjah, United Arab Emirates.
Praveen KumarDepartment of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati, Guwahati, India.
R M NaidooDepartment of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Independently run single microgrids (MGs) encounter difficulties with inadequate self-consumption of local renewable energy and frequent power exchange with the grid. Combining numerous MGs to form a multi-microgrid (MMG) is a viable approach to enhance smart distribution networks' operational and financial performance. However, the correlation and coordination of intermittent power generation within each MG network pose many techno-economic challenges for energy sharing and trading. This review offers a comprehensive analysis of these challenges within the framework of MMG operations. It examines state-of-the-art methodologies for optimizing multi-energy dispatch and scrutinizes contemporary strategies within energy markets that contribute to the resilience of power systems. The discourse extends to the burgeoning role of blockchain technology in revolutionizing decentralized market frameworks and the intricacies of MMG coordination for reliable and cost-effective energy distribution. Overall, this study provides ample inspiration for theoretical and practical research to the new entrants and experts alike to develop new concepts for energy markets, scheduling and novel operating models for future resilient multi-energy networked systems/MMGs.

Indexed as

EconomicsElectricityEnergy managementEnergy systems

Identifiers

PMID38623328
PMCPMC11016907

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.