Back to Search
Start Over
Artificial Neural Network-Based Pole-Tracking Method for Online Stabilization Control of Grid-Tied VSC.
- Source :
-
IEEE Transactions on Industrial Electronics . Dec2022, Vol. 69 Issue 12, p13902-13909. 8p. - Publication Year :
- 2022
-
Abstract
- To cope with the weak grid stability issue of grid-tied voltage source converters (VSCs), this article proposes an artificial neural network (ANN) based approach for online stabilization control of the grid-tied VSC with the pole-tracking feature. First, an ANN is adopted to establish the mapping between the control parameters and the closed-loop poles of the grid-VSC system, serving as a computationally light model surrogate that is favorable for real-time control applications. Then, an online parameter search algorithm enabling simultaneous tuning of multiple controllers and parameters is developed, by which the system's poles under a new grid condition can be pulled to the reference ones, i.e., achieving the pole-tracking-based stabilization control of this article. Finally, the efficacy of the proposed method along with its stabilization effect is verified by MATLAB simulations and experimental results. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02780046
- Volume :
- 69
- Issue :
- 12
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Industrial Electronics
- Publication Type :
- Academic Journal
- Accession number :
- 157958128
- Full Text :
- https://doi.org/10.1109/TIE.2021.3134079