LAPSE:2020.0585
Published Article

LAPSE:2020.0585
An Autonomous Power-Frequency Control Strategy Based on Load Virtual Synchronous Generator
June 10, 2020
Abstract
With the increasing penetration of the hybrid AC/DC microgrid in power systems, an inertia decrease of the microgrid is caused. Many scholars have put forward the concept of a virtual synchronous generator, which enables the converters of the microgrid to possess the characteristics of a synchronous generator, thus providing inertia support for the microgrid. Nevertheless, the problems of active power oscillation and unbalance would be serious when multiple virtual synchronous generators (VSGs) operate in the microgrid. To conquer these problems, a VSG-based autonomous power-frequency control strategy is proposed, which not only independently allocates the power grid capacity according to the load capacity, but also effectively suppresses the active power oscillation. In addition, by establishing a dynamic small-signal model of the microgrid, the dynamic stability of the proposed control strategy in the microgrid is verified, and further reveals the leading role of the VSG and filter in the dynamic stability of microgrids. Finally, the feasibility and effectiveness of the proposed control strategy are validated by the simulation results.
With the increasing penetration of the hybrid AC/DC microgrid in power systems, an inertia decrease of the microgrid is caused. Many scholars have put forward the concept of a virtual synchronous generator, which enables the converters of the microgrid to possess the characteristics of a synchronous generator, thus providing inertia support for the microgrid. Nevertheless, the problems of active power oscillation and unbalance would be serious when multiple virtual synchronous generators (VSGs) operate in the microgrid. To conquer these problems, a VSG-based autonomous power-frequency control strategy is proposed, which not only independently allocates the power grid capacity according to the load capacity, but also effectively suppresses the active power oscillation. In addition, by establishing a dynamic small-signal model of the microgrid, the dynamic stability of the proposed control strategy in the microgrid is verified, and further reveals the leading role of the VSG and filter in the dynamic stability of microgrids. Finally, the feasibility and effectiveness of the proposed control strategy are validated by the simulation results.
Record ID
Keywords
autonomous power-frequency control strategy, dynamic small-signal model, hybrid AC/DC microgrid, virtual synchronous generator
Subject
Suggested Citation
Han J, Liu Z, Liang N, Song Q, Li P. An Autonomous Power-Frequency Control Strategy Based on Load Virtual Synchronous Generator. (2020). LAPSE:2020.0585
Author Affiliations
Han J: Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China [ORCID]
Liu Z: Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China
Liang N: Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China
Song Q: Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China
Li P: Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China
Liu Z: Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China
Liang N: Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China
Song Q: Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China
Li P: Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China
Journal Name
Processes
Volume
8
Issue
4
Article Number
E433
Year
2020
Publication Date
2020-04-07
ISSN
2227-9717
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Original Submission
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PII: pr8040433, Publication Type: Journal Article
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LAPSE:2020.0585
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https://doi.org/10.3390/pr8040433
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[v1] (Original Submission)
Jun 10, 2020
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Jun 10, 2020
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Record Owner
Calvin Tsay
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