LAPSE:2023.9895
Published Article
LAPSE:2023.9895
Virtual Inertia Adaptive Control Strategy of ESU in DC Microgrid
Tao Wang, Hongshan Li, Taiyu Wang, Meng Liu, Tong Zhu, Hongchen Liu
February 27, 2023
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
constant power load, energy storage system, static stability analysis, virtual inertia control
Suggested Citation
Wang T, Li H, Wang T, Liu M, Zhu T, Liu H. Virtual Inertia Adaptive Control Strategy of ESU in DC Microgrid. (2023). LAPSE:2023.9895
Author Affiliations
Wang T: Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China; State Grid Weihai Supply Company, Weihai 264200, China
Li H: Department of New Energy, Harbin Institute of Technology at Weihai, Weihai 264200, China
Wang T: Department of New Energy, Harbin Institute of Technology at Weihai, Weihai 264200, China
Liu M: Electric Power Research Institute, State Grid Shandong Electric Power Company, Jinan 250000, China
Zhu T: Department of New Energy, Harbin Institute of Technology at Weihai, Weihai 264200, China
Liu H: Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China [ORCID]
Journal Name
Energies
Volume
15
Issue
17
First Page
6112
Year
2022
Publication Date
2022-08-23
ISSN
1996-1073
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Original Submission
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PII: en15176112, Publication Type: Journal Article
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LAPSE:2023.9895
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https://doi.org/10.3390/en15176112
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