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A New FPGA-Based Real-Time Digital Solver for Power System Simulation

Author

Listed:
  • Bingda Zhang

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

  • Xianglong Jin

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

  • Sijia Tu

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

  • Zhao Jin

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

  • Jie Zhang

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

Abstract

Considering the rational use of field programmable gate array (FPGA) resources, this paper proposes a new FPGA-based real-time digital solver (FRTDS) for power system simulation. Based on the relationship between the number of computing components, the operating frequency, and the pipeline length, the best selection principle is given. By analyzing the implementation method of the Multi-Port Read/Write Circuit, the computing formula of the Look-Up-Table (LUT) consumption was derived. Given the excessive use of LUTs in the original computing components, the computing components were assembled in a single typical arithmetic expression of the power system simulation program, as the basic computing formula was characterized by a subset of the typical computing formula and multiple uses of the same variable. Data communication between different computing components was realized by using Multi-Port Input Circuits that share some outputs of read controller, and Multi-Port Output Circuits, which share some outputs of computing cores. According to the test results of original FRTDS and new FRTDS, it was found that the solution proposed in this paper had a shorter ideal simulation time and a higher parallel computing capability, which was very suitable for real-time digital simulation of power systems.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:24:p:4666-:d:295601
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    References listed on IDEAS

    as
    1. Bingda Zhang & Dan Zhao & Zhao Jin & Yanjie Wu, 2017. "Multivalued Coefficient Prestorage and Block Parallel Method for Real-Time Simulation of Microgrid on FRTDS," Energies, MDPI, vol. 10(9), pages 1-18, August.
    2. Bingda Zhang & Yanjie Wu & Zhao Jin & Yang Wang, 2017. "A Real-Time Digital Solver for Smart Substation Based on Orders," Energies, MDPI, vol. 10(11), pages 1-16, November.
    3. 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.
    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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    Cited by:

    1. Zhao Jin & Yanjie Wu & Shuyuan Wang & Bingda Zhang, 2022. "FPGA-Based Real-Time Simulation of Dual-Port Submodule MMC–HVDC System," Energies, MDPI, vol. 15(13), pages 1-19, June.
    2. Zhao Jin & Jie Zhang & Shuyuan Wang & Bingda Zhang, 2023. "Component-Oriented Modeling Method for Real-Time Simulation of Power Systems," Energies, MDPI, vol. 16(6), pages 1-19, March.
    3. 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.
    4. Borja Rodríguez & Francisco González & Miguel Ángel Naya & Javier Cuadrado, 2020. "Assessment of Methods for the Real-Time Simulation of Electronic and Thermal Circuits," Energies, MDPI, vol. 13(6), pages 1-26, March.

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