Virtual Inertia Adaptive Control Strategy of ESU in DC Microgrid

Tao Wang, Hongshan Li, Taiyu Wang, Meng Liu, Tong Zhu and Hongchen Liu ()
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Tao Wang: Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China
Hongshan Li: Department of New Energy, Harbin Institute of Technology at Weihai, Weihai 264200, China
Taiyu Wang: Department of New Energy, Harbin Institute of Technology at Weihai, Weihai 264200, China
Meng Liu: Electric Power Research Institute, State Grid Shandong Electric Power Company, Jinan 250000, China
Tong Zhu: Department of New Energy, Harbin Institute of Technology at Weihai, Weihai 264200, China
Hongchen Liu: Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China

Energies, 2022, vol. 15, issue 17, 1-14

Abstract: 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.

Keywords: energy storage system; static stability analysis; virtual inertia control; constant power load (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
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