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An improved droop control method for wind-PV-storage DC microgrids

Received Date:2023-07-14 Revised Date:2023-08-30 Publish Date:2023-12-02

DOI:10.20078/j.eep.20230906

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    Abstract:In the wind-photovoltaic (PV)-storage DC microgrid, the use of droop control ensures the proportional power sharing betw... Open+
    Abstract:

    In the wind-photovoltaic (PV)-storage DC microgrid, the use of droop control ensures the proportional power sharing between parallel power sources without the need for communication between the sources. However, the traditional droop control does not enable the output of the maximum PV and wind turbine (WT) power. Therefore, this paper proposes an improved droop control method that combines the maximum power point tracking (MPPT) algorithm with droop control. The method can not only ensure that PV and WT output the maximum power, but also realize the power sharing with the energy storage system (ESS). In order to verify the effectiveness of the improved method, we conducted simulations using MATLAB/Simulink and compared it with the traditional droop control method. The simulation results showed that in a typical system consisting of 5 kW PV, 7.34 kW WT and 10 kW load, under the same operating environment, the improved droop control method could increase the PV power supply ratio up to 8%, the WT power supply share by up to 9%, and the battery energy storage share by up to 10%, while the DC bus voltage fluctuation was basically unchanged. The improved droop control method has obvious advantages over the traditional method in the wind-PV-storage DC microgrid, which is of great significance for improving the overall performance and reliability of the system.

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    Authors:

    • HAN Ai1
    • LIN Junhong1
    • ZHANG Yu1
    • LIU Shaojun1,2,*
    • SONG Hao 1,2
    • WU Weihong1,2
    • ZHENG Chenghang1,2

    Units

    • 1. State Key Laboratory of Clean Energy Utilization, State Environmental Protection Center for Coal Fired Air Pollution Control, Zhejiang University
    • 2. Key Laboratory of Clean Energy and Carbon Neutrality of Zhejiang Province, Zhejiang University

    Keywords

    • Microgrid
    • Maximum power point tracking
    • Droop control

    Citation

    HAN Ai, LIN Junhong, ZHANG Yu, et al. An improved droop control method for wind-PV-storage DC microgrids[J]. Energy Environmental Protection, 2023, 37(6): 111-118.

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