Adaptive Control of a Virtual Synchronous Generator with Multiparameter Coordination

Bixing Ren, Qiang Li, Zhiyuan Fan and Yichao Sun ()
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Bixing Ren: State Grid Jiangsu Electric Power Company Ltd., Research Institute, Nanjing 211103, China
Qiang Li: State Grid Jiangsu Electric Power Company Ltd., Research Institute, Nanjing 211103, China
Zhiyuan Fan: NARI School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210023, China
Yichao Sun: NARI School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210023, China

Energies, 2023, vol. 16, issue 12, 1-16

Abstract: This paper proposes an adaptive strategy of co-regulating the three parameters— P /ω droop coefficient, virtual inertia, and damping coefficient—for the virtual synchronous generator (VSG). This approach is able to solve the uncoordinated performance between the virtual inertia and the damping using the conventional adaptive control in which the system may experience serious frequency fluctuations. Through the mathematical modeling of the VSG grid-connected system, the segmental analysis of the VSG transient process is carried out, and the parameter adjustment law of each stage is obtained. The VSG angular velocity change and the angular velocity instantaneous change rate are associated with the inertia to realize the adaptive adjustment of the inertia, and the adaptive adjustment of the P /ω droop coefficient is carried out in real time according to the VSG angular velocity change. A functional relationship is established between the P /ω droop coefficient, virtual inertia, and damping coefficient so that the P /ω droop coefficient, virtual inertia, and damping coefficient are coordinated to keep the system in the best damping ratio state all the time. Finally, the superiority of the proposed strategy is proved by simulation comparison.

Keywords: virtual synchronous generator grid-connected system; adaptive co-regulation strategy; optimal damping ratio (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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