LAPSE:2023.7732
Published Article
LAPSE:2023.7732
Research on Flexible Virtual Inertia Control Method Based on the Small Signal Model of DC Microgrid
Shengyang Lu, Tongwei Yu, Huiwen Liu, Wuyang Zhang, Yuqiu Sui, Junyou Yang, Li Zhang, Jiaxu Zhou, Haixin Wang
February 24, 2023
Abstract
Renewable energy is usually connected to the DC micro-grid by a large number of power electronic devices, which have the advantages of a fast system response, but the disadvantage to reduce the inertia of the system, which makes the stability of the system worse. It is necessary to increase the inertia of DC micro-grid so that it can recover and stabilize well when it receives a disturbance. In this paper, a small-signal model of DC micro-grid with constant power load (CPL) is established, and a flexible virtual inertial (FVI) control method based on DC bus voltage real-time variation is proposed, by controlling the DC/DC converter of the energy storage system, the problem of system oscillation caused by introducing voltage differential link to the system is solved. Compared with the droop control method, the FVI control method can increase the inertia of DC micro-grid system, reduce the influence of small disturbances, and improve the stability of the system. Finally, the validity of the FVI control method based on small signal model is verified in dSPACE.
Keywords
constant power load (CPL), DC microgrid, flexible virtual inertia control (FVI), small-signal model, stability analysis
Suggested Citation
Lu S, Yu T, Liu H, Zhang W, Sui Y, Yang J, Zhang L, Zhou J, Wang H. Research on Flexible Virtual Inertia Control Method Based on the Small Signal Model of DC Microgrid. (2023). LAPSE:2023.7732
Author Affiliations
Lu S: School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China; Electric Power Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110006, China
Yu T: Electric Power Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110006, China
Liu H: School of Electrical Engineering, Dalian University of Technology, Dalian 116024, China
Zhang W: Electric Power Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110006, China
Sui Y: School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China
Yang J: School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China
Zhang L: School of Electrical Engineering, Dalian University of Technology, Dalian 116024, China
Zhou J: Electric Power Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110006, China
Wang H: School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China [ORCID]
Journal Name
Energies
Volume
15
Issue
22
First Page
8360
Year
2022
Publication Date
2022-11-09
ISSN
1996-1073
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Original Submission
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PII: en15228360, Publication Type: Journal Article
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LAPSE:2023.7732
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https://doi.org/10.3390/en15228360
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Feb 24, 2023
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