An Improved Virtual Inertia Control Strategy for Low Voltage AC Microgrids with Hybrid Energy Storage Systems

Ruiming Liu, Shengtie Wang, Guangchen Liu, Sufang Wen, Jianwei Zhang and Yuechao Ma
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Ruiming Liu: College of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot 010051, China
Shengtie Wang: College of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot 010051, China
Guangchen Liu: College of Electric Power, Inner Mongolia University of Technology, Hohhot 010080, China
Sufang Wen: College of Electric Power, Inner Mongolia University of Technology, Hohhot 010080, China
Jianwei Zhang: College of Electric Power, Inner Mongolia University of Technology, Hohhot 010080, China
Yuechao Ma: College of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot 010051, China

Energies, 2022, vol. 15, issue 2, 1-21

Abstract: This paper proposes a novel virtual inertia control (VIC) method based on a feedforward decoupling strategy to address the low inertia issue of power-converter-interfaced microgrids. The feedforward control scheme is employed to eliminate the coupling between active and reactive power caused by line impedance. The active power-voltage droop can be applied to the battery converter in the hybrid energy storage system (HESS). A novel VIC method is developed for the supercapacitor (SC) converter of HESS to increase the inertia of the microgrid. Detailed small-signal modeling of the SC converter with the proposed VIC was conducted, and the transfer function model was obtained. Parameter analysis of the virtual inertia and virtual damping was carried out with the pole-zero map method, and the step response characteristic of output voltage amplitude with power variation was analyzed in detail, deriving the parameter design principle. The simulation study verifies the effectiveness and validity of the proposed control strategy. The proposed feedforward decoupling method and VIC can be widely applied in microgrids to enhance inertia and improve their power quality.

Keywords: virtual inertia control; microgrid; hybrid energy storage system; feedforward control (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: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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