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Cited by 300

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Virtual Synchronous Machines: A unified interface for grid integration

Zhong, Qing-Chang·2016·IEEE Power Electronics Magazine

Abstract

Power systems are going through a paradigm change from centralized generation to distributed generation and further on to smart grids. More and more renewable-energy sources, electric vehicles, energy storage systems, and so forth are being connected to power systems through power electronic converters. Moreover, the majority of loads are expected to connect to the grid through power electronic converters as well. This article shows that these converters, either on the supply side or on the load side, can all be controlled to behave like virtual synchronous machines (VSMs) and possess the dynamics of synchronous machines, providing a unified interface for smart grid integration. Synchroconverter technology and its developments are the focus of this article because the mathematical model of synchronous machines is embedded in the controller of synchronverters to provide close imitation.

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Metadata

Authors
Zhong, Q.-C.
Venue
IEEE Power Electronics Magazine
Published
2016-12
Volume
3
Issue
4
Pages
18-27
ISSN
  • 2329-9207 (ISSN-L)
  • 2329-9215
OpenAlex
W2565228678
Cited by
300
References
11
FWCI
22.17
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Virtual Synchronous Machines: A unified interface for grid integration. https://app.cochat.ai/papers/10.1109/mpel.2016.2614906
The paper
Zhong, Q.-C. (2016). Virtual Synchronous Machines: A unified interface for grid integration. IEEE Power Electronics Magazine. https://doi.org/10.1109/mpel.2016.2614906

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.