Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/164663
Title: Fuzzy control based virtual synchronous generator for self-adaptative control in hybrid microgrid
Authors: Lyu, Ling
Wang, Xuesong
Zhang, Liang
Zhang, Zhe
Koh, Leong Hai
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2022
Source: Lyu, L., Wang, X., Zhang, L., Zhang, Z. & Koh, L. H. (2022). Fuzzy control based virtual synchronous generator for self-adaptative control in hybrid microgrid. Energy Reports, 8, 12092-12104. https://dx.doi.org/10.1016/j.egyr.2022.09.055
Journal: Energy Reports 
Abstract: Maintaining the stability of low-inertia microgrid becomes a key challenge in the presence of high penetration of renewable energy sources. However, in such systems, the virtual inertia values are often fixed constants, and the choice of their values will significantly affect the frequency and voltage stability of the microgrid. Higher frequency and voltage oscillations may occur due to improper selection of fixed virtual inertia values. Therefore, virtual inertia-based control has attracted a lot of attention. In this paper, an adaptive virtual inertia control system using a fuzzy system is proposed by setting fuzzy logic rules and affiliation functions to provide adaptive inertia control for the system to ensure the frequency and voltage stability. In the proposed adaptive control strategy, the virtual inertia values are automatically adjusted according to the signal deviation and rate of change of the actual system, avoiding the selection of inappropriate inertia values and providing fast inertial response. Simulation and experimental results show that the proposed adaptive control algorithm, by combining the advantages of large inertia and small inertia, enables effective improvement of the dynamic response of the system voltage and frequency in both rectifier and inverter modes. The effectiveness of the proposed control strategy is verified.
URI: https://hdl.handle.net/10356/164663
ISSN: 2352-4847
DOI: 10.1016/j.egyr.2022.09.055
Schools: School of Electrical and Electronic Engineering 
Rights: © 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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