Journal of Shanghai Jiao Tong University

Journal of Shanghai Jiaotong University >

2022 , Vol. 56 >Issue 10: 1317 - 1324

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2022.106

New Type Power System and the Integrated Energy

Adaptive Virtual Inertial Control Strategy of Optical Storage and Distribution Network Based on TOPSIS Algorithm

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  • College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China

Received date: 2022-04-08

  Online published: 2022-11-03

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Abstract

Aimed at the problem of the inertia power allocation due to different indexes when multiple optical storage units are running together, a cooperative control strategy of multiple optical storage units is proposed by using adaptive virtual inertia control as a means to improve power quality. According to the charging and discharging characteristics of the battery, the inertia provided by the system is adjusted. As high-frequency disturbance occurs in the system, the super capacitor is the first choice to provide inertia support. As low-frequency disturbance occurs in the system, the battery provides inertia power support, and the distance algorithm of the superior and inferior solutions is introduced. As cooperative control is performed, indicators such as the allowable power fluctuation range of the converter and the allowable power fluctuation range of the energy storage device are selected as the evaluation reference, the coordination among multi virtual synchronous generator (VSG) units in multi-index comprehensive evaluation is realized. Finally, an AC system with multi VSG units is built on the experiment platform, and the effectiveness of the proposed control strategy is verified.

Key words： virtual inertia; cooperative operation; optical storage unit; power quality

Cite this article

YU Wei, YANG Huanhong, JIAO Wei, ZHOU Ze . Adaptive Virtual Inertial Control Strategy of Optical Storage and Distribution Network Based on TOPSIS Algorithm[J]. Journal of Shanghai Jiaotong University, 2022 , 56(10) : 1317 -1324 . DOI: 10.16183/j.cnki.jsjtu.2022.106

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