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The Hierarchical Control Algorithm for DC Microgrid Based on the Improved Droop Control of Fuzzy Logic

Author

Listed:
  • Liang Zhang

    (School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Kang Chen

    (School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Shengbin Chi

    (School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Ling Lyu

    (School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Guowei Cai

    (School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

Abstract

In the direct current (DC) microgrid composed of multiple distributed generations, due to the different distances between various converters and the DC bus in the system, the difference of the line resistance will reduce the current sharing accuracy of the system. The droop control was widely used in the operation control of the DC microgrid. It was necessary to select a large droop coefficient to improve the current sharing accuracy, but a too large droop coefficient will lead to a serious bus voltage drop and affect the power quality. In view of the contradiction between the voltage regulation and load current sharing in the traditional droop control, a hierarchical control algorithm based on the improved droop control of the fuzzy logic was proposed in this paper. By improving the droop curve, the problems of voltage regulation and current sharing were solved simultaneously. The effectiveness of the algorithm was verified by simulation.

Suggested Citation

  • Liang Zhang & Kang Chen & Shengbin Chi & Ling Lyu & Guowei Cai, 2019. "The Hierarchical Control Algorithm for DC Microgrid Based on the Improved Droop Control of Fuzzy Logic," Energies, MDPI, vol. 12(15), pages 1-17, August.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:15:p:2995-:d:254502
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    References listed on IDEAS

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    1. Li, Fan & Sun, Bo & Zhang, Chenghui & Liu, Che, 2019. "A hybrid optimization-based scheduling strategy for combined cooling, heating, and power system with thermal energy storage," Energy, Elsevier, vol. 188(C).
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    Cited by:

    1. Alfredo Padilla-Medina & Francisco Perez-Pinal & Alonso Jimenez-Garibay & Antonio Vazquez-Lopez & Juan Martinez-Nolasco, 2020. "Design and Implementation of an Energy-Management System for a Grid-Connected Residential DC Microgrid," Energies, MDPI, vol. 13(16), pages 1-30, August.
    2. Zhiming Zhang & Qing Chen & Ranran Xie & Yi Zheng, 2019. "A Protection System for Improved Ring-Bus DC Microgrids," Energies, MDPI, vol. 12(19), pages 1-14, October.

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