Dynamic Evolutionary Control Strategy for Switched Reluctance Generator DC Microgrid System

Authors

  • Wenju Yan School of Electrical Engineering China University of Mining and Technology, Xuzhou 221116, China, Shenzhen Research Institute China University of Mining and Technology, Shenzhen 518057, China
  • Yang Wang School of Electrical Engineering China University of Mining and Technology, Xuzhou 221116, China
  • Jiangpeng Hu School of Electrical Engineering China University of Mining and Technology, Xuzhou 221116, China
  • Hao Chen School of Electrical Engineering China University of Mining and Technology, Xuzhou 221116, China
  • Ryszard Palka Department of Electrical Machines and Drives West Pomeranian University of Technology, Sikorskiego 37, 70-313 Szczecin, Poland
  • Marcin Wardach Department of Electrical Machines and Drives West Pomeranian University of Technology, Sikorskiego 37, 70-313 Szczecin, Poland
  • Konrad Woronowicz Department of Electrical Machines and Drives West Pomeranian University of Technology, Sikorskiego 37, 70-313 Szczecin, Poland

DOI:

https://doi.org/10.13052/2024.ACES.J.400905

Keywords:

Efficiency optimization, Fibonacci search algorithm, mode selection, switched reluctance generator

Abstract

This paper introduces a double-stator novel switched reluctance machine employed as a wind generator. To stabilize the fluctuating power output of an off-grid wind power storage system and maintain the bus voltage stability of the power generation system, a dynamic evolutionary control strategy utilizing closed-loop bus voltage regulation is proposed. This includes constructing a multi-objective optimization function with four parameters: power generation efficiency, output voltage, torque smoothness coefficient, and power smoothness coefficient. These parameters serve as the basis for mode selection in multi-mode operation. Furthermore, in order to further enhance the system’s power generation efficiency, a real-time optimization method based on efficiency optimization for the commutation angle is designed. The integration of these two methods results in a multi-mode operation method for double-stator switched reluctance generator (DSSRG) based on efficiency optimization control. Simulation and experimental results validate the feasibility and effectiveness of the new DSSRG system and its control methods. This research holds significant importance for the application of DSSRGs in the field of power generation.

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Author Biographies

Wenju Yan, School of Electrical Engineering China University of Mining and Technology, Xuzhou 221116, China, Shenzhen Research Institute China University of Mining and Technology, Shenzhen 518057, China

Wenju Yan (M’19) received the B.S. degree in Electrical Engineering and Automation from the China University of Mining and Technology, Xuzhou, China, in 2013. He received the Ph.D. degree in electrical engineering from the China University of Mining and Technology, Xuzhou, China, in 2018. Since 2018, he has been with China University of Mining and Technology, where he is currently an associate professor in the School of Electrical Engineering. His current research interests include electric vehicles, electric traction, iron loss analysis, and motor design.

Yang Wang, School of Electrical Engineering China University of Mining and Technology, Xuzhou 221116, China

Yang Wang received the B.S. degree in Electrical Engineering and Automation from the Hefei University of Technology, Hefei, China, in 2023. He is currently working toward the M.S. degree in electrical engineering from the China University of Mining and Technology, Xuzhou, China. His research interest includes electric machine control.

Jiangpeng Hu, School of Electrical Engineering China University of Mining and Technology, Xuzhou 221116, China

Jiangpeng Hu received the B.S. degree in Electrical Engineering and Automation, from Anhui University of Science and Technology, Huainan, Anhui, China, in 2020. He is currently working toward the M.S. degree in electrical engineering from the China University of Mining and Technology, Xuzhou, China. His research interests include new energy wind power and hybrid energy storage technologies.

Hao Chen, School of Electrical Engineering China University of Mining and Technology, Xuzhou 221116, China

Hao Chen (SM’08) received the B.S. and Ph.D. degrees in Electrical Engineering from the Department of Automatic Control, Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 1991 and 1996, respectively. In 1998, he became an Associate Professor with the School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, China, where he has been a professor since 2001. From 2002 to 2003, he was a Visiting Professor at Kyungsung University, Busan, Korea. Since 2008, he has been an Adjunct Professor at the University of Western Australia, Perth, Australia. He is the author of one book and has authored more than 200 papers. His current research interests include motor control, linear launcher, electric vehicles, electric traction, servo drives, and wind power generator control. Chen was the recipient of both the Prize of Science and Technology of Chinese Youth and the Prize of the Fok Ying Tong Education Foundation for Youth Teachers in both 2004. He became the Chinese New Century National Hundred-Thousand Ten-Thousand Talents Engineering National Talent in 2007 and won the Government Especial Allowance of People’s Republic of China State Department in 2006.

Ryszard Palka, Department of Electrical Machines and Drives West Pomeranian University of Technology, Sikorskiego 37, 70-313 Szczecin, Poland

Ryszard Palka D.Sc. Ph.D. Eng. is Head of Department of Electrical Machines and Drives, West Pomeranian University of Technology, Szczecin, Poland. In 1987-2005 he was with the Institute of Electrical Machines, Traction and Drives, TU Braunschweig, Germany. Areas of research include electromagnetic field theory, numerical field calculations, optimization of electromagnetic fields, electrical machines, and high temperature superconductivity. He is the author of about 320 refereed journal articles, conference papers, technical reports, and co-author of four books. He is a member of IEEE, International Compumag Society, Polish Society of Theoretical and Applied Electrical Engineering, International Maglev Board and Committee on Electrical Engineering, Polish Academy of Sciences.

Marcin Wardach, Department of Electrical Machines and Drives West Pomeranian University of Technology, Sikorskiego 37, 70-313 Szczecin, Poland

Marcin Wardach D.Sc. Ph.D. Eng. was born in Poland in 1980. He graduated and received the Ph.D. degree from the Electrical Department, Szczecin University of Technology, Szczecin, Poland, in 2006 and 2011, respectively. From 2020 until now, he has been an Associate Professor with the Faculty of Electrical Engineering, West Pomeranian University of Technology, Szczecin. His research interests include the design of electrical machines and drives especially unconventional and hybrid excited. He is the author of over 100 scientific papers and post-conference publications. He is a member of Association of Polish Electrical Engineers and Polish Society of Theoretical and Applied Electrical Engineering.

Konrad Woronowicz, Department of Electrical Machines and Drives West Pomeranian University of Technology, Sikorskiego 37, 70-313 Szczecin, Poland

Konrad Woronowicz received the Ph.D. degree in adaptive linear induction motors (LIM) control and the D.Sc. degree in an area of Wireless Power Transfer from the West Pomeranian University of Technology, Szczecin, Poland, in 2001 and 2015, respectively. From 1995 until 2019, he was with Bombardier Transportation, Canada, involved in various transportation and research and development projects and played a key role in commercializing LIM-based mass transit systems in such locations as New York, Beijing, Vancouver, Kuala Lumpur and Seoul. Later, he partook in the development of a high power WPT (Wireless Power Transfer) system for buses and light rail vehicles. He has authored numerous patents in WPT, converter topology, converter controls, and motors. He is currently an Associate Professor with the West Pomeranian University of Technology, Department of Electrical Engineering. His current research interests include electromagnetic design for WPT, development of high-performance linear motors, resonant circuits and power conversion for energy storage.

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Published

2025-09-30

How to Cite

[1]
W. . Yan, “Dynamic Evolutionary Control Strategy for Switched Reluctance Generator DC Microgrid System”, ACES Journal, vol. 40, no. 09, pp. 840–850, Sep. 2025.

Issue

2025: Vol 40 Iss 9

Section

Advances in Analysis, Design and Control of Switched Reluctance Machines

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