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Multivalued Coefficient Prestorage and Block Parallel Method for Real-Time Simulation of Microgrid on FRTDS

Author

Listed:
  • Bingda Zhang

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

  • Dan Zhao

    (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)

  • Yanjie Wu

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

Abstract

The microgrid containing a large amount of high frequency power switches and nonlinear components has put forward high requirements for power system real-time simulation technology. Multivalued coefficient prestorage can reduce the calculation steps in real-time simulation. In order to reduce the storage pressure of the multivalued coefficients, the whole network is divided into multiple subnetworks that can be simulated in parallel, and only the parameters for computing input variables and internal variables are prestored. The multiport hybrid equivalent is performed to reduce the number of simultaneous network equations. The input variables are tied to state variables of the circuit so that the iterative calculation is limited to the local network. The devised methodology is validated through simulation of a low-voltage microgrid on a field programmable gate array (FPGA)-based real-time digital simulation (FRTDS) platform at a 5 μs time step. Comparison with a power systems computer aided design (PSCAD)/electromagnetic transients including DC (EMTDC) model shows that the proposed method is effective.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:9:p:1248-:d:109382
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    References listed on IDEAS

    as
    1. Bingke Yan & Bo Wang & Lin Zhu & Hesen Liu & Yilu Liu & Xingpei Ji & Dichen Liu, 2015. "A Novel, Stable, and Economic Power Sharing Scheme for an Autonomous Microgrid in the Energy Internet," Energies, MDPI, vol. 8(11), pages 1-24, November.
    2. Mahmoud Matar & Houshang Karimi & Amir Etemadi & Reza Iravani, 2012. "A High Performance Real-Time Simulator for Controllers Hardware-in-the-Loop Testing," Energies, MDPI, vol. 5(6), pages 1-21, June.
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    Cited by:

    1. 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.
    2. Ji Han & Shihong Miao & Jing Yu & Yifeng Dong & Junxian Hou & Simo Duan & Lixing Li, 2018. "Multi-Rate and Parallel Electromagnetic Transient Simulation Considering Nonlinear Characteristics of a Power System," Energies, MDPI, vol. 11(2), pages 1-15, February.
    3. 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.
    4. 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.

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