Evidence map›Paper›PMID 38830893›Full record

ArticleNature communications2024

Early warning and proactive control strategies for power blackouts caused by gas network malfunctions.

Fengshuo Yu, Qinglai Guo, Jianzhong Wu, Zheng Qiao, Hongbin Sun

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Fengshuo YuDepartment of Electrical Engineering, Tsinghua University, Beijing, China.ORCID http://orcid.org/0009-0008-0982-2226
Qinglai GuoDepartment of Electrical Engineering, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0003-1435-5796
Jianzhong WuSchool of Engineering, Cardiff University, Cardiff, UK.ORCID http://orcid.org/0000-0001-7928-3602
Zheng QiaoDepartment of Electrical Engineering, Tsinghua University, Beijing, China.
Hongbin SunDepartment of Electrical Engineering, Tsinghua University, Beijing, China. shb@tsinghua.edu.cn.ORCID http://orcid.org/0000-0002-5465-9818

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is growing consensus that gas-fired generators will play a crucial role during the transition to net-zero energy systems, both as an alternative to coal-fired generators and as a flexibility service provider for power systems. However, malfunctions of gas networks have caused several large-scale power blackouts. The transition from coal and oil to gas fuels significantly increases the interdependence between gas networks and electric power systems, raising the risks of more frequent and widespread power blackouts due to the malfunction of gas networks. In a coupled gas-electricity system, the identification and transmission of gas network malfunction information, followed by the redispatch of electric power generation, occur notably faster than the propagation and escalation of the malfunction itself, e.g., significantly diminished pressure. On this basis, we propose a gas-electric early warning system that can reduce the negative impacts of gas network malfunctions on the power system. A proactive control strategy of the power system is also formulated based on the early warning indicators. The effectiveness of this method is demonstrated via case studies of a real coupled gas-electricity system in China.

Identifiers

PMID38830893
PMCPMC11148067

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Registered trials

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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.