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Sliding Mode Based Nonlinear Load Frequency Control for Interconnected Coupling Power Network

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  • Intelligent Control and Applications
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Abstract

This paper investigates the nonlinear load frequency control (NLFC) issue in the interconnected coupling power network (ICPN), which includes a wind turbine, photovoltaic (PV), and second-order turbine governor systems. The main target of proposed scheme is to zero out the frequency deviations and preserve the consumption of batteries energy at the desired standards for the ICPN, which is divided into control areas, where each area is defined by an equivalent generation subsystem. Firstly, a super twisting sliding mode control (STWSMC) is designed for the secondary control area to make the state converge quickly. Secondly, to make sure the stability of the system states, the proportional integral (PI) technique is used for the initial phase control. Furthermore, the stability analysis shows that the asymptotic convergence can be recognized by pressuring the state of the power system on an appropriately designed sliding surface. Finally, the simulation results confirm the effectiveness of the proposed methodology.

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Authors and Affiliations

  1. School of Automation Engineering and Institute of Electric Vehicle Driving System and Safety Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731, China

    Gafary Mahmoud, Yong Chen, Longjie Zhang & Meng Li

  2. Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou, 313001, China

    Yong Chen

Authors
  1. Gafary Mahmoud
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  2. Yong Chen
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  3. Longjie Zhang
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  4. Meng Li
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Correspondence to Yong Chen.

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This work was supported by the National Natural Science Foundation of China under Grant (61973331).

Gafary Mahmoud was born in Qena, Egypt. He received his B.S. degree in electrical power engineering from Aswan University, Aswan, Egypt, in 2005 and an M.S. degree in automatic control engineering from South University, Qena, Egypt, in 2016. Since September 2018, he has been working toward a Ph.D. degree at the University of Electronic Science and Technology of China, Chengdu, China. His main research interests include networked control, robust control, and motor control.

Yong Chen received his B.S. degree in industrial automation from Taiyuan University of Science and Technology, Taiyuan, Shanxi, in 2001, an M.S. degree in control theory and control engineering from Guangxi University, Nanning, Guangxi, in 2004, and a Ph.D. degree in control theory and control engineering from Chongqing University, Chongqing, in 2007. Since 2007, he joined University of Electronic Science and Technology of China (UESTC). Since 2015, he has been a Professor and a Ph.D. Supervisor in the School of Automation Engineering and the Director of the Institute of Electric Vehicle Driving System and Safety Technology, UESTC. He was a Visiting Scholar in University of Adelaide from 2013 to 2014. He is currently presiding some projects including National Natural Science Foundation of China project, National Key Research and Development Plan Programs of China and the Scientific and Technical Supporting Programs of Sichuan Province. He has published more than 80 technical papers in journals and 40 Chinese patents. His current research interests include fault-tolerant control, network control, and intelligent connected system.

Longjie Zhang was born in Henan province in China. He received his B.S. degree in applied automation from University of Electronic Science and Technology of China (UESTC) in 2020. Since September 2020, he is a Ph.D. student in control science and engineering from the University of Electronic Science and Technology of China (UESTC). The main research direction include networked control and optimal control.

Meng Li received his B.S. degree in applied math from Yanan University in 2012, an M.S. degree in applied math from Xihua University in 2015, and a Ph.D. degree in control science and engineering from the School of Automation Engineering, University of Electronic Science and Technology of China (UESTC) in 2018. From 2017 to 2018, he was a Joint Ph.D. student with the School of Electrical and Electronic Engineering, The University of Adelaide. Since January 2019, He was a postdoctor with UESTC. He is currently an associate researcher with the School of Automation Engineering, UESTC. He has published over 20 technical papers in journals and conferences. His current research interests include networked control systems, cyber-physical systemsm, and sliding-mode control.

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Mahmoud, G., Chen, Y., Zhang, L. et al. Sliding Mode Based Nonlinear Load Frequency Control for Interconnected Coupling Power Network. Int. J. Control Autom. Syst. 20, 3731–3739 (2022). https://doi.org/10.1007/s12555-021-0678-8

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  • DOI: https://doi.org/10.1007/s12555-021-0678-8

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