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Multi-Rate Real-Time Simulation Method Based on the Norton Equivalent

Author

Listed:
  • Junjie Zhu

    (The Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China)

  • Bingda Zhang

    (The Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China)

Abstract

For the problem of poor accuracy of the existing multi-rate simulation methods, this paper proposes a multi-rate real-time simulation method based on the Norton equivalent, compared with multi-rate simulation method based on the ideal source equivalent. After the Norton equivalence of the fast subsystem and the slow subsystem are established, they are solved simultaneously at the junction nodes. In order to reduce the amount of the simulation calculation, the Norton equivalent circuit is obtained by incremental calculation. The data interaction between the fast subsystem and the slow subsystem is realized by extrapolation method. For ensuring the real-time performance of the simulation, the method of the slow subsystem calculates ahead of the fast subsystem is given for the slow subsystem with a large amount of calculation. Finally, the AC/DC hybrid power system was simulated on the real-time simulation platform (FPGA-based Real-Time Digital Solver, FRTDS), and the simulation results were compared with the single-rate simulation, which verified the correctness and accuracy of the proposed method.

Suggested Citation

  • Junjie Zhu & Bingda Zhang, 2020. "Multi-Rate Real-Time Simulation Method Based on the Norton Equivalent," Energies, MDPI, vol. 13(17), pages 1-15, September.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:17:p:4562-:d:408280
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    References listed on IDEAS

    as
    1. Bingda Zhang & Yang Wang & Sijia Tu & Zhao Jin, 2018. "FPGA-Based Real-Time Digital Solver for Electro-Mechanical Transient Simulation," Energies, MDPI, vol. 11(10), pages 1-19, October.
    2. Bingda Zhang & Ruizhao Hu & Sijia Tu & Jie Zhang & Xianglong Jin & Yun Guan & Junjie Zhu, 2018. "Modeling of Power System Simulation Based on FRTDS," Energies, MDPI, vol. 11(10), pages 1-17, October.
    3. Bingda Zhang & Xianglong Jin & Sijia Tu & Zhao Jin & Jie Zhang, 2019. "A New FPGA-Based Real-Time Digital Solver for Power System Simulation," Energies, MDPI, vol. 12(24), pages 1-22, December.
    4. Bingda Zhang & Shaowen Fu & Zhao Jin & Ruizhao Hu, 2017. "A Novel FPGA-Based Real-Time Simulator for Micro-Grids," Energies, MDPI, vol. 10(8), pages 1-17, August.
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