Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/163024
Title: Power-frequency oscillation suppression algorithm for AC microgrid with multiple virtual synchronous generators based on fuzzy inference system
Authors: Zhang, Liang
Zheng, Hao
Cai, Guowei
Zhang, Zhe
Wang, Xuesong
Koh, Leong Hai
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2022
Source: Zhang, L., Zheng, H., Cai, G., Zhang, Z., Wang, X. & Koh, L. H. (2022). Power-frequency oscillation suppression algorithm for AC microgrid with multiple virtual synchronous generators based on fuzzy inference system. IET Renewable Power Generation, 16(8), 1589-1601. https://dx.doi.org/10.1049/rpg2.12461
Journal: IET Renewable Power Generation 
Abstract: In the microgrid, virtual synchronous generator technology can significantly enhance the anti-interference characteristics of the system frequency and bus voltage, as well as solve the problems of insufficient damping and low inertia. However, the system frequency and active power oscillation caused by power fluctuations and grid faults threaten the stable operation of the grid seriously. Therefore, for an alternating current (AC) microgrid multi-virtual synchronous generator (VSG) parallel system, an improved virtual synchronous generator control algorithm based on a fuzzy inference system is proposed, which adjusts the values of virtual inertia and damping coefficient dynamically through fuzzy logic rules to realize the coordinated control of the two. The enhanced VSG algorithm described in this research has a substantial influence on power-frequency oscillation suppression, decreases active power and frequency overshoot, shortens the adjustment time, and improves system frequency stability active power, according to simulation and experimental findings.
URI: https://hdl.handle.net/10356/163024
ISSN: 1752-1416
DOI: 10.1049/rpg2.12461
Rights: © 2022 The Authors. IET Renewable Power Generation published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles
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