VSG Virtual Inertial Control Strategy Based on Lead-lag Link and Fuzzy Logic Control

Chen, Hailin; Pan, Rongrui; Wang, Leqiu

doi:10.1109/cac48633.2019.8997450

Cited by 8 publications

(4 citation statements)

References 2 publications

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“…For nonlinear time-varying control objects, fuzzy logic control has better control effect than traditional control methods and has been widely used in practical engineering. FLC is more commonly used in the field of microgrid control [30,31], but there are not many reports on its application in VSG algorithm [32]. Here, through theoretical analysis and simulation, and HIL experiments, we demonstrate that FLC can be applied to VSG and play a positive role in the control of microgrids.…”

Section: Fuzzy Logic Control Principlementioning

confidence: 70%

Power‐frequency oscillation suppression algorithm for AC microgrid with multiple virtual synchronous generators based on fuzzy inference system

Zhang

Zheng

Cai

et al. 2022

IET Renewable Power Gen

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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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Section: Fuzzy Logic Control Principlementioning

confidence: 70%

Power‐frequency oscillation suppression algorithm for AC microgrid with multiple virtual synchronous generators based on fuzzy inference system

Zhang

Zheng

Cai

et al. 2022

IET Renewable Power Gen

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show abstract

“…In reference [14], the moment of inertia was adjusted, and directly set to the maximum or minimum value, but the specific selection principle of parameters was missing. In literature [15], the parameter selection range was given according to the steady-state and dynamic characteristics by designing the VSG control strategy with lead lag link in the active power loop. However, the mainstream idea of frequency modulation is to optimize the system parameters rather than directly change the control link.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Virtual Synchronous Generator Modulation Strategy Based on Moment of Inertia, Damping Coefficient and Virtual Impedance

2022

Teh. vjesn.

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The technology of virtual synchronous generator improves the limitations of inverter control strategy and enhances the acceptance of new energy generation in traditional power system, and yet it greatly affects the frequency dynamic regulation ability of the power grid. Meanwhile, in order to solve the problem of power coupling in medium and low voltage microgrid, many methods have been proposed to change the equivalent output impedance of the system by introducing virtual impedance to improve the stability of microgrid system. For this purpose of optimizing the frequency regulation ability of the system, this paper designs an adaptive control strategy of the moment of inertia and damping coefficient to improve the frequency response characteristics of virtual synchronous generator under the conditions of given active power change and grid frequency fluctuation. In addition, in order to solve the contradiction between the moment of inertia, damping coefficient and the frequency response speed, the voltage vector relationship of virtual synchronous generator under interference is analyzed from the perspective of virtual impedance, and an adaptive virtual impedance control strategy is proposed to accelerate the frequency modulation process of the system. Consequently, one cooperative adaptive control strategy of the moment of inertia, damping coefficient and virtual impedance is proposed. On the basis of ensuring the virtual synchronous generator to give full play to its own operation advantages, this method achieves the purpose of enhancing inertia and accelerating the frequency response speed from various perspectives. The simulation results prove the feasibility of the proposed control strategy.

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“…Therefore, the robustness of the method is low. Based on this (Kerdphol et al, 2017;Li et al, 2019a;Zheng et al;Karimi et al, 2020), a fuzzy controller was used to regulate the inertia of the VSG. Although this control approach is simple and reliable, it nevertheless has certain flaws.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Control Based Virtual Synchronous Generator for Self-Adaptative Control in Hybrid Microgrid

Lyu

Wang²,

Zhang

et al. 2022

SSRN Journal

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VSG Virtual Inertial Control Strategy Based on Lead-lag Link and Fuzzy Logic Control

Cited by 8 publications

References 2 publications

Power‐frequency oscillation suppression algorithm for AC microgrid with multiple virtual synchronous generators based on fuzzy inference system

Power‐frequency oscillation suppression algorithm for AC microgrid with multiple virtual synchronous generators based on fuzzy inference system

Adaptive Virtual Synchronous Generator Modulation Strategy Based on Moment of Inertia, Damping Coefficient and Virtual Impedance

Fuzzy Control Based Virtual Synchronous Generator for Self-Adaptative Control in Hybrid Microgrid

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