An Improved Adaptive Inertia and Damping Combination Control of Virtual Synchronous Generator

Shi, Qiguo; Du, Chunlei; Sun, Yongchao; Cai, Wenlu; Wang, Aiping; Chui, Dezheng

doi:10.1109/iecon48115.2021.9589784

Cited by 7 publications

(1 citation statement)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It minimizes transient response time, with the limitation of frequency amplitude and change rate being constraints and the system's new equilibrium point being the boundary condition. The fluctuation of VSG frequency and power in the transient process is effectively suppressed (Shi et al, 2021). Proposed an improved adaptive virtual synchronous generator control strategy, which incorporated frequency deviation and frequency change rate into VSG virtual parameters.…”

mentioning

confidence: 99%

Parameter adaptive model predictive control strategy of NPC three-level virtual synchronous generator

Yang,

Wang,

Jin

et al. 2023

Front. Energy Res.

View full text Add to dashboard Cite

The Virtual Synchronous Generator (VSG) emulates the characteristics of a synchronous generator to provide inertia and damping for renewable energy systems. In the case of using the NPC three-level converter structure, traditional control methods require complex dual-loop control and internal PI parameter tuning. Furthermore, although fixed-parameter VSG control can provide inertia and damping when a significant power load is switched in an islanded microgrid, it cannot guarantee frequency regulation performance. To address these issues, this paper proposes an NPC three-level VSG parameter adaptive finite control set model predictive control strategy. This method eliminates the need for dual-loop control and PI parameter tuning. By incorporating angular velocity deviation and its rate of change into adaptive adjustment, a Tracking-Differentiator (TD) is designed to calculate the rate of change of angular velocity. This approach avoids frequent fluctuation of adaptive parameters during load power switching and improves the frequency stability of the microgrid. The effectiveness of the proposed strategy is validated through simulation and experimental verification.

show abstract

mentioning

confidence: 99%

Parameter adaptive model predictive control strategy of NPC three-level virtual synchronous generator

Yang,

Wang,

Jin

et al. 2023

Front. Energy Res.

View full text Add to dashboard Cite

show abstract

Comparative Analysis and Improvement of Generalized Droop Control and Virtual Synchronous Generator for Rate of Change of Frequency Constraint and Transient Power Suppression

Wu,

Zhang,

Zhao

et al. 2024

Circuit Theory & Apps

View full text Add to dashboard Cite

Since the microgrid lacks inertia compared to the conventional grid with synchronous generators, the microgrid is unable to address the frequency change issues resulting from the integration of large‐scale distributed generation. Due to the ability to provide virtual inertia, generalized droop control (GDC) and virtual synchronous generator (VSG) control are considered effective solutions for improving frequency regulation. However, in response to external frequency disturbances, the grid‐connected inverters may experience a significant transient active power overshoot caused by GDC and VSG. In this paper, the GDC is used as the fundamental control architecture, and then the small signal models of the GDC and VSG are compared and analyzed under various disturbances. A reduced‐order method for the GDC model is proposed to simplify the analysis of GDC. Additionally, GDC adaptive inertia (GDCAI) and adaptive inertia for operation mode switching (AIOMS) are proposed to mitigate frequency fluctuations and improve active power response. The effectiveness of the two control strategies is verified by MATLAB/Simulink simulation and StarSim hardware‐in‐the‐loop (HIL) experiment.

show abstract

Optimization of optical storage VSG control strategy considering active power deviation and virtual inertia damping parameters

Yan,

Zhao,

Ullah

et al. 2024

Ain Shams Engineering Journal

View full text Add to dashboard Cite

An Improved Adaptive Inertia and Damping Combination Control of Virtual Synchronous Generator

Cited by 7 publications

References 13 publications

Parameter adaptive model predictive control strategy of NPC three-level virtual synchronous generator

Parameter adaptive model predictive control strategy of NPC three-level virtual synchronous generator

Comparative Analysis and Improvement of Generalized Droop Control and Virtual Synchronous Generator for Rate of Change of Frequency Constraint and Transient Power Suppression

Optimization of optical storage VSG control strategy considering active power deviation and virtual inertia damping parameters

Contact Info

Product

Resources

About