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Predictive Control and Sliding Mode Control for Power Electronics and Motor Drives in Microgrids
Submission DeadlineOct. 25, 2020

Submission Guidelines: http://www.sciencepublishinggroup.com/home/submission

Lead Guest Editor
Siew-Chong Tan
University of Hong Kong, Hong Kong, China
Guest Editors
  • Yun Yang
    University of Hong Kong, Hong Kong, China
  • Kai Yuen Cheong
    Technological and Higher Education Institute of Hong Kong, Hong Kong, China
  • Wenxing Zhong
    Zhejiang University, Hangzhou, Zhejiang, China
  • Cheng Zhang
    University of Manchester, Manchester, UK
  • Sinan Li
    University of Bath, Bath, UK
  • Shuangxia Niu
    The Hong Kong Polytechnic University, Hong Kong, China
  • Zhenghong Jin
    Northeastern University, Shenyang, Liaoning, China
  • Tirupati Solanke
    Universiti of Tenanaga Nasional Malaysia, Putrajaya, Selengor, Malaysia
  • Imad Merzouk
    Applied Automation and Industrial Diagnostic Laboratory, Faculty of Science and Technology, University of Djelfa, Djelfa, Algeria
  • saravanan ragavan
    Department of EEE, Balaji Institute of Technology & Science, Hyderabad, Telangana, India
  • King Man Siu
    University of Manitoba, Winnipeg, Manitoba, Canada
Microgrids have emerged as a promising solution to accommodate the integration of renewable energy resources. However, the fluctuating outputs from renewable energy resources and variable power demand have posed many challenges such as voltage/frequency fluctuations. Meanwhile, with the increasing penetration of renewable energy resources and the associated electronic interfaces, the development of high-performance control strategies has attracted much attention in global academic and industry communities. So far, conventional control methods such as linear feedback control still lack sufficient control flexibility and intelligence to handle these fluctuations, resulting in stability problems and power quality issues. On the other hand, the advanced control strategies, i.e., predictive control and sliding mode control, have been very successful in power electronic converters and complex systems, such as electric machines. For predictive control, due to its fast-transient response and flexibility in considering different constraints, it shows huge potentials in microgrid applications. For sliding mode control, based on the mature theoretical framework, practical designs of sliding mode control are particularly suitable for the purpose of controlling power converters under various operating conditions of varied, nonlinear, and unpredictable renewable energy systems in microgrids.
Aims and Scope:
  1. Finite control set model predictive control (FCS-MPC) and/or continuous MPC for power converters
  2. Distributed predictive control of microgrids with renewable.
  3. Variable-frequency sliding mode control for grid-connected converters
  4. Constant-frequency pulse-width-modulation (PWM)-based sliding mode control for grid-connected converters
  5. Integrated predictive and sliding mode control for emerging technologies, e.g. wireless power transfer, in microgrids
  6. Distributed generations
  7. Power balance and management
  8. Power quality issue (harmonics, voltage/frequency deviations etc.)
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