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FPGA-Based Real-Time Digital Solver for Electro-Mechanical Transient Simulation

Author

Listed:
  • Bingda Zhang

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

  • Yang Wang

    (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)

Abstract

A field-programmable gate array (FPGA)-based digital solver for real-time electromechanical transient simulation is designed in this paper. The solving process for a device or sub-network in an electromechanical transient simulation is packaged into the orders in soft function solvers. The orders are reused by soft function solvers that are invoked by microprocessor cores. The data exchange between the microprocessor cores and soft function solvers is enhanced through explicit and implicit channels. The orders of the microprocessor cores are stored in the synchronous dynamic random access memory on the FPGA board, which solves the problem of insufficient storage space for the orders in electromechanical transient simulation. A real-time digital solver for electromechanical transient simulation, whose feasibility is verified by a simulation of part of the power system in East China, is successfully constructed by applying a small number of microprocessor cores and multiple soft function solvers.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:10:p:2650-:d:173700
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    References listed on IDEAS

    as
    1. 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.
    2. 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. Xizheng Guo & Jiaqi Yuan & Yiguo Tang & Xiaojie You, 2018. "Hardware in the Loop Real-time Simulation for the Associated Discrete Circuit Modeling Optimization Method of Power Converters," Energies, MDPI, vol. 11(11), pages 1-14, November.
    2. Guido Ala & Massimo Caruso & Rosario Miceli & Filippo Pellitteri & Giuseppe Schettino & Marco Trapanese & Fabio Viola, 2019. "Experimental Investigation on the Performances of a Multilevel Inverter Using a Field Programmable Gate Array-Based Control System," Energies, MDPI, vol. 12(6), pages 1-17, March.
    3. Ruyun Cheng & Li Yao & Xinyang Yan & Bingda Zhang & Zhao Jin, 2021. "High Flexibility Hybrid Architecture Real-Time Simulation Platform Based on Field-Programmable Gate Array (FPGA)," Energies, MDPI, vol. 14(19), pages 1-16, September.
    4. 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.

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