Energies (Aug 2022)

Virtual Inertia Adaptive Control Strategy of ESU in DC Microgrid

  • Tao Wang,
  • Hongshan Li,
  • Taiyu Wang,
  • Meng Liu,
  • Tong Zhu,
  • Hongchen Liu

DOI
https://doi.org/10.3390/en15176112
Journal volume & issue
Vol. 15, no. 17
p. 6112

Abstract

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With the increasingly obvious DC characteristics at both ends of the source and load sides of the low-voltage distribution network, the application scenarios of low-voltage DC microgrid gradually appear. Compared with the AC system, the DC microgrid has the characteristics of low inertia, weak damping, and poor anti-disturbance capabilities, all of which are important for improving operational stability. A virtual inertia adaptive control approach for fast-tracking energy storage under varied disturbances is presented using energy storage as a virtual inertia unit. Firstly, a stability analysis model including constant power load is constructed for the low-voltage DC microgrid; then, the control logic of the virtual inertia of the energy storage system is designed. Finally, the corresponding model is built in MATLAB/SIMULINK and the experiment platform to verify the correctness and effectiveness of the proposed control strategy.

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