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Research on Virtual DC Generator-Based Control Strategy of DC Microgrid with Photovoltaic and Energy Storage

Feng Zhao, Chengrui Xiao*, Xiaoqiang Chen, Ying Wang

School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, China

* Corresponding Author: Chengrui Xiao. Email: email

(This article belongs to this Special Issue: Key Technologies of Renewable Energy Consumption and Optimal Operation under )

Energy Engineering 2023, 120(6), 1353-1370. https://doi.org/10.32604/ee.2023.025976

Abstract

With the penetration of a large number of photovoltaic power generation units and power electronic converters, the DC microgrid shows low inertia characteristics, which might affect the stable operation of the microgrid in extreme cases. In order to enhance the “flexible features” of the interface converter connected to the DC bus, a control strategy of DC microgrid with photovoltaic and energy storage based on the virtual DC generator (VDCG) is proposed in this paper. The interface converters of the photovoltaic power generation system and the energy storage system simulates the inertia and damping characteristics of the DC generator to improve the stability of the DC bus voltage. The impedance ratio of DC microgrid was obtained by establishing the small-signal model of photovoltaic power generation system and energy storage system, and the Nyquist curves was applied to analyze the small-signal stability of the system. Finally, the simulation results were verified with MATLAB/Simulink. The results show that the proposed control strategy can slow down the fluctuation of bus voltage under the conditions of photovoltaic power fluctuation and load mutation, thus enhancing the system stability.

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Cite This Article

Zhao, F., Xiao, C., Chen, X., Wang, Y. (2023). Research on Virtual DC Generator-Based Control Strategy of DC Microgrid with Photovoltaic and Energy Storage. Energy Engineering, 120(6), 1353–1370.



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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