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 :
بازگشت