Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 623

The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.

Detailed and Averaged Models for a 401-Level MMC–HVDC System

Peralta, Jaime, Saad, Hani, Dennetiere, Sébastien, Mahseredjian, Jean, Nguefeu, Samuel·2012·IEEE Transactions on Power Delivery

Abstract

Voltage-source-converter (VSC) technologies present a bright opportunity in a variety of fields within the power system industry. New modular multilevel converters (MMCs) are expected to supersede two- and three-level VSC-based technologies for HVDC applications due to their recognized advantages in terms of scalability, performance, and efficiency. The computational burden introduced by detailed modeling of MMC-HVDC systems in electromagnetic-transients (EMT)-type programs complicates the study of transients especially when these systems are integrated into a large network. This paper presents a novel average-value model (AVM) for efficient and accurate representation of a detailed MMC-HVDC system. It also develops a detailed 401-level MMC-HVDC model for validating the AVM and studies the performance of both models when integrated into a large 400-kV transmission system in Europe. The results show that the AVM is significantly more efficient while maintaining its accuracy for the dynamic response of the overall system.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1109/tpwrd.2012.2188911

Cites

22 of 22 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 22 references

Cited by

See all 623

Metadata

Authors
Peralta, J., Saad, H., Dennetiere, S., Mahseredjian, J., & Nguefeu, S.
Venue
IEEE Transactions on Power Delivery
Published
2012-07
Volume
27
Issue
3
Pages
1501-1508
ISSN
  • 0885-8977 (ISSN-L)
  • 1937-4208
OpenAlex
W2110592902
Cited by
623
References
22
FWCI
30.52
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: Detailed and Averaged Models for a 401-Level MMC–HVDC System. https://app.cochat.ai/papers/10.1109/tpwrd.2012.2188911
The paper
Peralta, J., Saad, H., Dennetiere, S., Mahseredjian, J., & Nguefeu, S. (2012). Detailed and Averaged Models for a 401-Level MMC–HVDC System. IEEE Transactions on Power Delivery. https://doi.org/10.1109/tpwrd.2012.2188911

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.