Evidence map›Paper›PMID 42280929›Full record

ArticleSensors (Basel, Switzerland)2026

Real-Time Transient Voltage and Frequency Sensing Strategy for Resilience Enhancement of PV-Storage Systems in Weak Grids.

Yu Ji, Zixuan Liu, Xin Gu, Chenze Huo, Zihan Zhang, Song Tang, Jun Mei, Can Huang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. 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.

Yu JiSchool of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China.
Zixuan LiuSchool of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China.
Xin GuSchool of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China.
Chenze HuoSchool of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China.
Zihan ZhangSchool of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China.
Song TangSchool of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China.
Jun MeiSchool of Electrical Engineering, Southeast University, Nanjing 210096, China.
Can HuangSchool of Electrical Engineering, Southeast University, Nanjing 210096, China.

Funding

Nanjing Institute of Technology YKJ202109National Natural Science Foundation of China 52077037
6 · The paper itself

Abstract

Photovoltaic (PV)-storage systems operating in weak grids are affected by high grid impedance, transient voltage disturbances, and measurement noise, which can degrade frequency regulation, increase converter current stress, and impose high-frequency current fluctuations on the battery. To address these issues, this paper proposes a multi-timescale transient-state sensing and signal-processing framework for grid-forming PV-hybrid storage systems. The proposed framework combines three coordinated functions. First, a frequency-domain HESS power-decoupling mechanism separates high-frequency transient power components and assigns them to the supercapacitor, while the battery mainly handles low-frequency energy variations. Second, a voltage-deviation-driven adaptive virtual inductance is introduced to increase the equivalent output impedance during voltage-sag events and reduce transient inrush current. Third, a noise-resilient frequency sensing strategy based on a filtered frequency derivative and a dead-band for false-trigger suppression is developed to reduce noise-induced false triggering in adaptive inertia and damping control. Comparative simulations indicate that under the tested weak-grid conditions, the proposed method reduces the transient inrush-current peak by 53.2%, decreases the maximum dynamic frequency deviation by approximately 75%, and improves the active-power regulation speed by more than 50%. These results indicate that the proposed sensing-oriented framework can improve transient response while reducing converter and battery current stress in PV-storage systems connected to high-impedance grids.

Indexed as

adaptive virtual impedancehybrid energy storage systemmeasurement noise immunityphotovoltaic-storage systemsignal processingtransient-state sensingvirtual synchronous generatorweak grids

Identifiers

PMID42280929
PMCPMC13259168

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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.