Power-frequency oscillation suppression algorithm for AC microgrid with multiple virtual synchronous generators based on fuzzy inference system
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...
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sg-ntu-dr.10356-1630242022-11-19T23:31:14Z Power-frequency oscillation suppression algorithm for AC microgrid with multiple virtual synchronous generators based on fuzzy inference system Zhang, Liang Zheng, Hao Cai, Guowei Zhang, Zhe Wang, Xuesong Koh, Leong Hai School of Electrical and Electronic Engineering Energy Research Institute @ NTU (ERI@N) Engineering::Electrical and electronic engineering Frequency Oscillations Fuzzy Inference Systems 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. Published version This research was supported in part by the International Science and Technology Cooperation Project of Jilin Province Science and Technology Department, grant number 20210402080GH, the author hereby expresses his gratitude to the abovementioned institution for their support. 2022-11-16T02:17:59Z 2022-11-16T02:17:59Z 2022 Journal Article 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 1752-1416 https://hdl.handle.net/10356/163024 10.1049/rpg2.12461 2-s2.0-85127433198 8 16 1589 1601 en IET Renewable Power Generation © 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. application/pdf |
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Engineering::Electrical and electronic engineering Frequency Oscillations Fuzzy Inference Systems Zhang, Liang Zheng, Hao Cai, Guowei Zhang, Zhe Wang, Xuesong Koh, Leong Hai Power-frequency oscillation suppression algorithm for AC microgrid with multiple virtual synchronous generators based on fuzzy inference system |
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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. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Zhang, Liang Zheng, Hao Cai, Guowei Zhang, Zhe Wang, Xuesong Koh, Leong Hai |
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Article |
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Zhang, Liang Zheng, Hao Cai, Guowei Zhang, Zhe Wang, Xuesong Koh, Leong Hai |
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Zhang, Liang |
title |
Power-frequency oscillation suppression algorithm for AC microgrid with multiple virtual synchronous generators based on fuzzy inference system |
title_short |
Power-frequency oscillation suppression algorithm for AC microgrid with multiple virtual synchronous generators based on fuzzy inference system |
title_full |
Power-frequency oscillation suppression algorithm for AC microgrid with multiple virtual synchronous generators based on fuzzy inference system |
title_fullStr |
Power-frequency oscillation suppression algorithm for AC microgrid with multiple virtual synchronous generators based on fuzzy inference system |
title_full_unstemmed |
Power-frequency oscillation suppression algorithm for AC microgrid with multiple virtual synchronous generators based on fuzzy inference system |
title_sort |
power-frequency oscillation suppression algorithm for ac microgrid with multiple virtual synchronous generators based on fuzzy inference system |
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2022 |
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https://hdl.handle.net/10356/163024 |
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1751548505982238720 |