DocumentCode
3666274
Title
Sliding-mode-based disturbance rejection control of nonlinear power systems with renewable sources
Author
Hong Liu; Dianwei Qian
Author_Institution
Sch. of Control &
fYear
2015
Firstpage
238
Lastpage
243
Abstract
In this paper, an integral sliding mode control (I-SMC) method for load frequency control (LFC) is investigated in interconnected power systems in the presence of wind turbines. Generation rate constraint (GRC) has been considered. For implementation, neural networks are adopted to approximate the entire uncertainties. The integral sliding mode controllers and the neural networks work in parallel to achieve disturbance rejection control. It has been observed from simulation results that the presented method was able to maintain the feasibility, validity and robustness.
Keywords
"Wind turbines","Power system stability","Artificial neural networks","Uncertainty","Simulation","Sliding mode control"
Publisher
ieee
Conference_Titel
Advanced Mechatronic Systems (ICAMechS), 2015 International Conference on
Electronic_ISBN
2325-0690
Type
conf
DOI
10.1109/ICAMechS.2015.7287116
Filename
7287116
Link To Document