LAPSE:2023.22817
Published Article
LAPSE:2023.22817
Adaptive Damping Design of PMSG Integrated Power System with Virtual Synchronous Generator Control
Jun Deng, Jianbo Wang, Shupeng Li, Haijing Zhang, Shutao Peng, Tong Wang
March 24, 2023
Abstract
With the continuous development of wind power capacity, a large number of wind turbines connected by power electronic devices make the system inertia lower, which leads to the problem of system frequency stability degradation. The virtual synchronous generator (VSG) control can make wind turbines possess inertia and damping. However, the stochastic dynamic behavior of wind generation results in the stochastic changing of operating condition; this paper presents an adaptive subsynchronous oscillation (SSO) damping control method for the wind generation with VSG control. Firstly, the small signal model of the permanent magnet synchronous generator (PMSG) with VSG is built, and the model of state space is derived and built. The active power of PMSG is selected as the variable parameter vector to establish a polytopic linear variable parameter system model. Then, based on the hybrid H2/H∞ control method, each vertex state feedback matrix is solved by linear matrix inequality, and a subsynchronous oscillation adaptive damping controller with polytope is obtained. Finally, the 4-machine 2-area system connected to two PMSGs with VSG control is used as the test system for time domain simulation. The simulation results demonstrate that the LPV based adaptive damping controller could provide enough damping under the circumstances of wider changes of wind power outputs.
Keywords
adaptive damping control, LPV, PMSG, virtual synchronous generator
Suggested Citation
Deng J, Wang J, Li S, Zhang H, Peng S, Wang T. Adaptive Damping Design of PMSG Integrated Power System with Virtual Synchronous Generator Control. (2023). LAPSE:2023.22817
Author Affiliations
Deng J: State Grid Shaanxi Electric Power Research Institute, Xi’an 710100, China [ORCID]
Wang J: State Grid Shaanxi Electric Power Research Institute, Xi’an 710100, China
Li S: State Grid Shaanxi Electric Power Research Institute, Xi’an 710100, China
Zhang H: State Grid Shaanxi Electric Power Research Institute, Xi’an 710100, China
Peng S: State Grid Shaanxi Electric Power Research Institute, Xi’an 710100, China
Wang T: School of Electrical & Electronic Engineering, North China Electric Power University, Changping District, Beijing 102206, China
Journal Name
Energies
Volume
13
Issue
8
Article Number
E2037
Year
2020
Publication Date
2020-04-19
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en13082037, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.22817
This Record
External Link

https://doi.org/10.3390/en13082037
Publisher Version
Download
Files
Mar 24, 2023
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
365
Version History
[v1] (Original Submission)
Mar 24, 2023
 
Verified by curator on
Mar 24, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.22817
 
Record Owner
Auto Uploader for LAPSE
Links to Related Works
Directly Related to This Work
Publisher Version
(0.1 seconds)

[0.1 s]