The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Comparative analysis of high voltage gain DC-DC converter topologies for photovoltaic systems
Open accessAbstract
Abstract In this paper, a comparative analysis has been presented on various topologies of isolated and non-isolated DC-DC converters. Here, the major focus remains on transformer-less (TL) DC-DC converters, based on the conventional basic boost converter. In addition, to attain high voltage gain, a classification of non-isolated converters based on extendable and non-extendable design has been presented. For comparative and theoretical analysis, the parameters chosen are the number of components utilized by each converter topology, high voltage gain offered, voltage stresses on each component involved and the efficiency of the high gain topologies. For the converters under discussion, operation under ideal and non-ideal conditions has also been highlighted. Based on this study, authors present a guide for the reader to identify various high voltage gain topologies for photovoltaic (PV) systems.
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
Cites
Review of Nonisolated High-Step-Up DC/DC Converters in Photovoltaic Grid-Connected Applications
Li, W., & He, X. (2011) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2010.2049715 · Cited by 1,423
Cited by
Raghavendra, K. V. G., Zeb, K., Muthusamy, A., Krishna, T. N. V., Kumar, S. V. S. V. P., Kim, D.-H., Kim, M.-S., Cho, H.-G., & Kim, H.-J. (2019) · Electronics · doi:10.3390/electronics9010031 · Cited by 269
Sadeghpour, D., & Bauman, J. (2022) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2021.3109505 · Cited by 37
Metadata
- Authors
- Amir, A., Amir, A., Che, H. S., Elkhateb, A., & Rahim, N. A.
- Venue
- Renewable Energy
- Publisher
- Elsevier BV
- Published
- 2019-06
- Volume
- 136
- Pages
- 1147-1163
- ISSN
- 0960-1481 (ISSN-L)
- OpenAlex
- W2894544529
- Cited by
- 179
- References
- 1
- FWCI
- 5.93
- Type
- journal article
- Language
- en
- Open access
- green
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: Comparative analysis of high voltage gain DC-DC converter topologies for photovoltaic systems. https://app.cochat.ai/papers/10.1016/j.renene.2018.09.089
- The paper
- Amir, A., Amir, A., Che, H. S., Elkhateb, A., & Rahim, N. A. (2019). Comparative analysis of high voltage gain DC-DC converter topologies for photovoltaic systems. Renewable Energy. https://doi.org/10.1016/j.renene.2018.09.089
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.
