LAPSE:2023.33939v1
Published Article
LAPSE:2023.33939v1
Virtual Inertia Coordinated Allocation Method Considering Inertia Demand and Wind Turbine Inertia Response Capability
Bo Xu, Linwei Zhang, Yin Yao, Xiangdong Yu, Yixin Yang, Dongdong Li
April 24, 2023
Abstract
Wind turbines can have inertia characteristics similar to synchronous generators through virtual inertia control, which helps to provide the inertia support for the system. However, there is the problem of how to coordinate the allocation of virtual inertia among wind turbines. In response to this problem, this paper first analyzes the inertia response capabilities of wind turbines and puts forward an evaluation index that quantifies the inertia response capability of wind turbines. The inertia response capability of a wind farm is evaluated at the entire system level. Based on the evaluation index, the virtual inertia coordinated allocation method considers the system inertia demand and the inertia response capabilities of the wind turbines. It is proposed to release the inertia response capability of each wind turbine while avoiding an excessive release of kinetic energy and bring a second impact by wind turbines’ exiting operation. Finally, the effectiveness of the proposed method is verified by a simulation case study.
Keywords
inertia allocation, inertia demand, inertia response capability, virtual inertia
Suggested Citation
Xu B, Zhang L, Yao Y, Yu X, Yang Y, Li D. Virtual Inertia Coordinated Allocation Method Considering Inertia Demand and Wind Turbine Inertia Response Capability. (2023). LAPSE:2023.33939v1
Author Affiliations
Xu B: School of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
Zhang L: Wenzhou Power Supply Company, State Grid Zhejiang Electric Power Co., Ltd., Wenzhou 325000, China
Yao Y: School of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
Yu X: School of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
Yang Y: School of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
Li D: School of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
Journal Name
Energies
Volume
14
Issue
16
First Page
5002
Year
2021
Publication Date
2021-08-15
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en14165002, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.33939v1
This Record
External Link

https://doi.org/10.3390/en14165002
Publisher Version
Download
Files
Apr 24, 2023
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
189
Version History
[v1] (Original Submission)
Apr 24, 2023
 
Verified by curator on
Apr 24, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.33939v1
 
Record Owner
Auto Uploader for LAPSE
Links to Related Works
Directly Related to This Work
Publisher Version