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Abstract
Establishing an accurate static synchronous compensator (STATCOM) mathematical model is very important to the research of device performance, the design of main circuit parameters and control systems. The working principle of STATCOM and its multiple optimization technology are analyzed in this article, mathematical modeling of STATCOM is derived using the switch function method, and the stability of the model is analyzed using the Routh–Hurwitz stability criterion. Based on the traditional PI control of reactive current and instantaneous reactive power theory, a new control strategy is proposed by combining the inverse system method and sliding mode variable structure theory. The simulation research in MATLAB shows that the proposed model and control strategy can accurately and quickly reflect the transient process of STATCOM, it has obvious role for the ability to stabilize the bus voltage, and it can fast suppression load low-frequency fluctuations and voltage flicker.
Acknowledgments
The authors also gratefully acknowledge the helpful comments and suggestions of the reviewers, which have improved the presentation.
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Notes on contributors
Peng Zhang
Peng Zhang received the Bachelor’s degree in power engineering in 2003 from Xi'an University of Technology, China, the Master’s degree in electrical engineering in 2011 from Lanzhou Jiaotong University, China. He is currently an associate professor at the school of physics and electrical engineering, Weinan Normal University. His current research interests include power quality analysis and control of power system, distributed generation, and renewable energy.
Bi-ying Zhou
Bi-ying Zhou received the Bachelor’s degree in computer science and technology in 2003 from Shaanxi Normal University, China, the Master’s degree in computer engineering in 2013 from Northwest University, China. She is currently an associate professor at the school of computer, Weinan Normal University. Her current research interests include intelligent algorithm, computer aided simulation.
Guo-fu Yin
Guo-fu Yin received the Bachelor’s degree in computer science and technology in 2002 from Weinan Normal University, China, the Master’s degree in computer engineering in 2007 from Xidian University, China. He is currently a professor at the school of computer, Weinan Normal University. His current research interests include pattern recognition and machine learning.