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Virtual Inertia Control Strategy in Microgrid Based on Virtual Synchronous Generator Technology

Authors: Kai Shi; Haihan Ye; Wentao Song; Guanglei Zhou;

Virtual Inertia Control Strategy in Microgrid Based on Virtual Synchronous Generator Technology

Abstract

Although the virtual inertia algorithm can be used to enhance the inertia of microgrid system, the strong coupling and low precision always limit its popularization and application. Therefore, a novel virtual inertia control strategy is proposed in this paper. Combining with the potential inertia advantages of virtual synchronous generator (VSG) technology, the poor compatibility between the virtual inertia principle and the energy storage control algorithm is analyzed in detail. In order to improve the control precision, this paper focuses on the analysis of frequency response characteristics of alternating current (ac) side and then regulates the ac frequency more directly and accurately by the virtual inertia generated from the energy storage device and the grid-connected inverter. Thus, additional droop characteristic, particular control algorithm of energy storage device, and power given module are designed, respectively, to make the system provide virtual inertia power support actively under multi disturbance operation. The novel virtual inertia control strategy can effectively deal with all kinds of wind speed and ac load mutation and restrain the frequency variation on ac side. Finally, the correctness and feasibility of the proposed scheme are verified by the simulation results.

Related Organizations
Keywords

microgrid, virtual inertia, Virtual synchronous generator, Electrical engineering. Electronics. Nuclear engineering, frequency stability, energy storage device, TK1-9971

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    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    103
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
103
Top 1%
Top 10%
Top 1%
gold