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Enhanced Load Power Sharing Accuracy in Droop-Controlled DC Microgrids with Both Mesh and Radial Configurations

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Listed:
  • Yiqi Liu

    (School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China)

  • Jianze Wang

    (School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
    These authors contributed equally to this work.)

  • Ningning Li

    (School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
    These authors contributed equally to this work.)

  • Yu Fu

    (School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
    These authors contributed equally to this work.)

  • Yanchao Ji

    (School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China)

Abstract

The rational power sharing among different interface converters should be determined by the converter capacity. In order to guarantee that each converter operates at the ideal condition, considering the radial and mesh configuration, a modified strategy for load power sharing accuracy enhancement in droop-controlled DC microgrid is proposed in this paper. Two compensating terms which include averaging output power control and averaging DC voltage control of neighboring converters are employed. Since only the information of the neighboring converter is used, the complexity of the communication network can be reduced. The rational distribution of load power for different line resistance conditions is realized by using modified droop control that can be regarded as a distributed approach. Low bandwidth communication is used for exchanging sampled information between different converters. The feasibility and effectiveness of the proposed method for different network configurations and line resistances under different communication delay is analyzed in detail. Simulation results derived from a DC microgrid with three converters is implemented in MATLAB/Simulink to verify the proposed approach. Experimental results from a 3 × 10 kW prototype also show the performance of the proposed modified droop control scheme.

Suggested Citation

  • Yiqi Liu & Jianze Wang & Ningning Li & Yu Fu & Yanchao Ji, 2015. "Enhanced Load Power Sharing Accuracy in Droop-Controlled DC Microgrids with Both Mesh and Radial Configurations," Energies, MDPI, vol. 8(5), pages 1-15, April.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:5:p:3591-3605:d:48922
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    References listed on IDEAS

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    1. Xiaobo Dou & Xiangjun Quan & Zaijun Wu & Minqiang Hu & Jianlong Sun & Kang Yang & Minhui Xu, 2014. "Improved Control Strategy for Microgrid Ultracapacitor Energy Storage Systems," Energies, MDPI, vol. 7(12), pages 1-21, December.
    2. Jong-Chan Choi & Ho-Yong Jeong & Jin-Young Choi & Dong-Jun Won & Seon-Ju Ahn & Seung-il Moon, 2014. "Voltage Control Scheme with Distributed Generation and Grid Connected Converter in a DC Microgrid," Energies, MDPI, vol. 7(10), pages 1-15, October.
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    Cited by:

    1. Liyuan Gao & Yao Liu & Huisong Ren & Josep M. Guerrero, 2017. "A DC Microgrid Coordinated Control Strategy Based on Integrator Current-Sharing," Energies, MDPI, vol. 10(8), pages 1-17, August.
    2. Jaehong Kim & Jitae Hong & Hongju Kim, 2016. "Improved Direct Deadbeat Voltage Control with an Actively Damped Inductor-Capacitor Plant Model in an Islanded AC Microgrid," Energies, MDPI, vol. 9(11), pages 1-15, November.
    3. Woo-Kyu Chae & Jong-Nam Won & Hak-Ju Lee & Jae-Eon Kim & Jaehong Kim, 2016. "Comparative Analysis of Voltage Control in Battery Power Converters for Inverter-Based AC Microgrids," Energies, MDPI, vol. 9(8), pages 1-18, July.
    4. Boyuan Wei & Geert Deconinck, 2019. "Distributed Optimization in Low Voltage Distribution Networks via Broadcast Signals †," Energies, MDPI, vol. 13(1), pages 1-18, December.

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