The DOI matches its Crossref record.
A Non-unit Protection Scheme for DC Microgrid Based on Local Measurements
Abstract
This paper proposes a nonunit protection scheme for DC microgrids (DC MGs) utilizing only local measurements. This scheme is developed based on the natural characteristics of DC current and its first and second derivatives under fault transients. Since it is based on local measurements, the problems associated with the communication delay are avoided. The selected protection scheme detects and discriminates the faults within a few microseconds of its inception. In this paper, a method to calculate the thresholds, used for the protection scheme, is also discussed. The proposed scheme is validated on a ring-type DC MG architecture under different fault scenarios and tested through MATLAB/Simulink simulations.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Central Power Research Institute, Telukunta, V., Pradhan, J., Central Power Research Institute, Agrawal, A., Central Power Research Institute, Singh, M., Central Power Research Institute, Srivani, S. G., & R V College of Engineering (2017) · CSEE Journal of Power and Energy Systems · doi:10.17775/cseejpes.2017.00030 · Cited by 544
DC Microgrid Protection: A Comprehensive Review
Beheshtaein, S., Cuzner, R. M., Forouzesh, M., Savaghebi, M., & Guerrero, J. M. (2024) · IEEE Journal of Emerging and Selected Topics in Power Electronics · doi:10.1109/jestpe.2019.2904588 · Cited by 365
Protection Systems for DC Shipboard Microgrids
Bayati, N., & Savaghebi, M. (2021) · Energies · doi:10.3390/en14175319 · Cited by 21
Metadata
- Authors
- Meghwani, A., Srivastava, S. C., & Chakrabarti, S.
- Venue
- IEEE Transactions on Power Delivery
- Published
- 2017-02
- Volume
- 32
- Issue
- 1
- Pages
- 172-181
- ISSN
- 0885-8977 (ISSN-L)
- 1937-4208
- OpenAlex
- W2339766197
- Cited by
- 351
- References
- 0
- FWCI
- 22.45
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Non-unit Protection Scheme for DC Microgrid Based on Local Measurements. https://app.cochat.ai/papers/10.1109/tpwrd.2016.2555844
- The paper
- Meghwani, A., Srivastava, S. C., & Chakrabarti, S. (2017). A Non-unit Protection Scheme for DC Microgrid Based on Local Measurements. IEEE Transactions on Power Delivery. https://doi.org/10.1109/tpwrd.2016.2555844
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.