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Dynamic Equivalent Modeling of a Grid-Tied Microgrid Based on Characteristic Model and Measurement Data

Author

Listed:
  • Changchun Cai

    (Jiangsu Key Laboratory of Power Transmission & Distribution Equipment Technology, Hohai University, Changzhou 213022, Jiangsu, China
    College of IOT Engineering, Hohai University, Changzhou 213022, Jiangsu, China)

  • Haolin Liu

    (Jiangsu Key Laboratory of Power Transmission & Distribution Equipment Technology, Hohai University, Changzhou 213022, Jiangsu, China
    College of IOT Engineering, Hohai University, Changzhou 213022, Jiangsu, China)

  • Weili Dai

    (Jiangsu Key Laboratory of Power Transmission & Distribution Equipment Technology, Hohai University, Changzhou 213022, Jiangsu, China
    College of IOT Engineering, Hohai University, Changzhou 213022, Jiangsu, China)

  • Zhixiang Deng

    (Jiangsu Key Laboratory of Power Transmission & Distribution Equipment Technology, Hohai University, Changzhou 213022, Jiangsu, China
    College of IOT Engineering, Hohai University, Changzhou 213022, Jiangsu, China)

  • Jianyong Zhang

    (Jiangsu Key Laboratory of Power Transmission & Distribution Equipment Technology, Hohai University, Changzhou 213022, Jiangsu, China)

  • Lihua Deng

    (Jiangsu Key Laboratory of Power Transmission & Distribution Equipment Technology, Hohai University, Changzhou 213022, Jiangsu, China
    College of IOT Engineering, Hohai University, Changzhou 213022, Jiangsu, China)

Abstract

Microgrids can significantly improve the utilization of distributed generation (DG) and the reliability of the power supply. However, in the grid-tied operational mode, the interaction between the microgrid and the distribution network cannot be ignored. The paper proposes an equivalent modeling method for the microgrid under grid-tied mode based on a characteristic model. It can simplify the microgrid model in the numerical simulation of the distribution network. The proposed equivalent model can present the dynamic response of a microgrid but not miss any of its primary characteristics. The characteristic model is represented by a low-order time-varying differential equation with the same characteristics of the original microgrid system. During the modeling process, the voltage and the power exchanged between the microgrid and distribution network are collected as the training data for the identification of model parameters. A recursive damped least squares algorithm (RDLS) is used for the parameter identification. A microgrid system containing different DGs is built to test the proposed modeling method in DIgSILENT, and the results show that the proposed dynamic equivalent modeling method is effective and the characteristic model can present the dynamic behaviors of the detailed model of a microgrid.

Suggested Citation

  • Changchun Cai & Haolin Liu & Weili Dai & Zhixiang Deng & Jianyong Zhang & Lihua Deng, 2017. "Dynamic Equivalent Modeling of a Grid-Tied Microgrid Based on Characteristic Model and Measurement Data," Energies, MDPI, vol. 10(12), pages 1-16, November.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:12:p:1951-:d:120282
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    References listed on IDEAS

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    1. Jorge J. Gomez-Sanz & Sandra Garcia-Rodriguez & Nuria Cuartero-Soler & Luis Hernandez-Callejo, 2014. "Reviewing Microgrids from a Multi-Agent Systems Perspective," Energies, MDPI, vol. 7(5), pages 1-28, May.
    2. Ou, Ting-Chia & Hong, Chih-Ming, 2014. "Dynamic operation and control of microgrid hybrid power systems," Energy, Elsevier, vol. 66(C), pages 314-323.
    3. Changchun Cai & Bing Jiang & Lihua Deng, 2015. "General Dynamic Equivalent Modeling of Microgrid Based on Physical Background," Energies, MDPI, vol. 8(11), pages 1-20, November.
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    Cited by:

    1. Hussain, Akhtar & Bui, Van-Hai & Kim, Hak-Man, 2019. "Microgrids as a resilience resource and strategies used by microgrids for enhancing resilience," Applied Energy, Elsevier, vol. 240(C), pages 56-72.
    2. Bingyin Lei & Yue Ren & Huiyu Luan & Ruonan Dong & Xiuyuan Wang & Junli Liao & Shu Fang & Kaiye Gao, 2023. "A Review of Optimization for System Reliability of Microgrid," Mathematics, MDPI, vol. 11(4), pages 1-30, February.
    3. Eros D. Escobar & Tatiana Manrique & Idi A. Isaac, 2022. "Campus Microgrid Data-Driven Model Identification and Secondary Voltage Control," Energies, MDPI, vol. 15(21), pages 1-19, October.

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