RESEARCH ON HYBRID ENERGY STORAGE CONTROL STRATEGY BASED ON VIRTUAL DC MOTOR PARAMETER OPTIMIZATION

Li Jiachen; Tian Guizhen; Liu Guangchen; Han Xiaoyu; Qiao Shunqing

doi:10.19912/j.0254-0096.tynxb.2023-2055

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Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (11) : 672-682. DOI: 10.19912/j.0254-0096.tynxb.2023-2055

RESEARCH ON HYBRID ENERGY STORAGE CONTROL STRATEGY BASED ON VIRTUAL DC MOTOR PARAMETER OPTIMIZATION

Li Jiachen¹, Tian Guizhen², Liu Guangchen², Han Xiaoyu¹, Qiao Shunqing¹

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Abstract

In order to improve the inertia and damping of the islanded wind-solar-storage DC microgrid system and to address the issue of bus voltage fluctuations caused by load and wind/solar power fluctuations, an improved hybrid energy storage control strategy based on the virtual DC machine （VDCM） is studied. The small-signal modeling of the hybrid energy storage system is deduced, and the influence of VDCM parameters on the dynamic performance of the system is analyzed. The reasonable range of VDCM parameters is also given. Aiming at the problem of vague parameter selection under the traditional VDCM control, the VDCM parameter optimization control is designed, and the parameters of the VDCM are optimized using the non dominated sorting genetic algorithm （NSGA-Ⅱ） offline algorithm. The problem of vague parameter selection in the traditional VDCM control is solved while simplifying the control of the hybrid energy storage system. The self-recovery control strategy of the super capacitor terminal voltage is studied, so that the super capacitor terminal voltage can be restored to the initial set value in time after the power fluctuation of the system occurs. On the basis of ensuring the reasonable power distribution of the hybrid energy storage, the system inertia is enhanced, and the overcharge and over discharge of the super capacitor are prevented. The simulation research on the above control strategies is conducted, and a hardware-in-loop experimental platform is built based on real time digital simulation system （RTDS） and rapid control prototyping （RCP） to verify the correctness and effectiveness of the control strategies.

Key words

DC microgrid / hybrid energy storage / virtual DC machine / terminal voltage of supercapacitors / dominated sorting genetic algorithm

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Li Jiachen, Tian Guizhen, Liu Guangchen, Han Xiaoyu, Qiao Shunqing. RESEARCH ON HYBRID ENERGY STORAGE CONTROL STRATEGY BASED ON VIRTUAL DC MOTOR PARAMETER OPTIMIZATION[J]. Acta Energiae Solaris Sinica. 2024, 45(11): 672-682 https://doi.org/10.19912/j.0254-0096.tynxb.2023-2055

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