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Cited by 988

The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.

Review of Power Sharing Control Strategies for Islanding Operation of AC Microgrids

Open access
Han, Hua, Hou, Xiaochao, Yang, Jian, Wu, Jifa, Su, Mei, Guerrero, Josep M.·2016·IEEE Transactions on Smart Grid

Abstract

Microgrid is a new concept for future energy distribution system that enables renewable energy integration. It generally consists of multiple distributed generators that are usually interfaced to the grid through power inverters. For the islanding operation of ac microgrids, two important tasks are to share the load demand among multiple parallel connected inverters proportionately, and maintain the voltage and frequency stabilities. This paper reviews and categorizes various approaches of power sharing control principles. Simultaneously, the control schemes are graphically illustrated. Moreover, various control approaches are compared in terms of their respective advantages and disadvantages. Finally, this paper presents the future trends.

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Crossref · 10.1109/tsg.2015.2434849

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Metadata

Authors
Han, H., Hou, X., Yang, J., Wu, J., Su, M., & Guerrero, J. M.
Venue
IEEE Transactions on Smart Grid
Published
2016-01
Volume
7
Issue
1
Pages
200-215
ISSN
  • 1949-3053 (ISSN-L)
  • 1949-3061
OpenAlex
W1502540576
Cited by
988
References
72
FWCI
78.57
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Review of Power Sharing Control Strategies for Islanding Operation of AC Microgrids. https://app.cochat.ai/papers/10.1109/tsg.2015.2434849
The paper
Han, H., Hou, X., Yang, J., Wu, J., Su, M., & Guerrero, J. M. (2016). Review of Power Sharing Control Strategies for Islanding Operation of AC Microgrids. IEEE Transactions on Smart Grid. https://doi.org/10.1109/tsg.2015.2434849

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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.