Author
Listed:
- Tao Wang
(Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China
State Grid Weihai Supply Company, Weihai 264200, 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)
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.
Suggested Citation
Tao Wang & Hongshan Li & Taiyu Wang & Meng Liu & Tong Zhu & Hongchen Liu, 2022.
"Virtual Inertia Adaptive Control Strategy of ESU in DC Microgrid,"
Energies, MDPI, vol. 15(17), pages 1-14, August.
Handle:
RePEc:gam:jeners:v:15:y:2022:i:17:p:6112-:d:895444
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:17:p:6112-:d:895444. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.