Abstract
Linear active disturbance rejection control (LADRC) is applied as power system stabilizer (PSS) in power systems to damp the low-frequency oscillations. A tuning method for second-order LADRC is proposed specifically for damping the low-frequency oscillations. The tuning method is based on its own structure (zeros and poles) and the oscillation frequencies that need to be damped, thus it is independent of system models and not restricted to single-machine-infinite-bus (SMIB) systems. Moreover, a method to analyze the robustness is proposed for SMIB systems using the structured singular value method. Simulation studies on a SMIB system and two multi-machine power systems show that LADRC is easy to tune and can achieve good performance in damping both the local modes and the inter-area modes, thus it has great potential in power system stability control.
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Wen Tan
Wen Tan received his B.Sc. degree in applied mathematics and M.Sc. degree in systems science from the Xiamen University, Xiamen, China, and Ph.D. degree in automation from the South China University of Technology, China, in 1990, 1993, and 1996, respectively. He joined the faculty of the Power Engineering Department, North China Electric Power University, Beijing, China in 1996. He was a Postdoctoral Fellow in the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada from 2000 to 2001. He is currently a Professor with the School of Control and Computer Engineering, North China Electric Power University. His research interests include modeling, analysis and control of complex industrial processes.
Jiaohui Xu
Jiaohui Xu received the B.S., M.S. degree in Computer Application Technology from the North China Electric Power University, Beijing, China, in 1998, 2004. He joined the faculty of the School of Control and Computer Engineering at the North China Electric Power University, Beijing, China in 2004. He is currecntly a research fellow in the laboratory teaching center. His research interests include power system operation and control, and artificial intelligence.