An Adaptive Virtual Inertial Control Strategy for DC Distribution Networks

Junhua Xu (), Weixun Liu () and Guopeng He
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Junhua Xu: College of Electrical Engineering, Guangxi University, Nanning 530004, China
Weixun Liu: College of Electrical Engineering, Guangxi University, Nanning 530004, China
Guopeng He: College of Electrical Engineering, Guangxi University, Nanning 530004, China

Energies, 2024, vol. 17, issue 10, 1-14

Abstract: The DC distribution network is a low-inertia system, which is very sensitive to load disturbance, system failure, and other factors. By adding virtual capacitance to the converter connected to the power supply, the virtual inertia of the DC power grid can be improved. Firstly, this paper proposes a strategy for adjusting virtual capacitance based on the voltage change rate to achieve adaptive control of virtual inertia, which enables the converter to quickly absorb or release energy during power fluctuations. Secondly, the adaptivity of the strategy is improved and the main control parameters in the proposed control method are qualitatively analyzed. Finally, the four-terminal photovoltaic storage DC distribution network system is constructed. Through Simulink, the adaptive virtual inertia control is incorporated on the battery side to simulate and validate the effectiveness of the strategy and the rationality of parameter analysis. The results show that this method can provide flexible and adjustable inertia support for DC grids and improve the voltage stability of DC grids.

Keywords: adaptive virtual inertia control; DC distribution network; virtual capacitor (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: 2024
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